Shifted tableaux and products of Schur's symmetric functions
Keiichi Shigechi

TL;DR
This paper introduces new combinatorial objects called semistandard increasing decomposition tableaux, explores their relation to existing tableaux, and provides combinatorial formulas for generalized Littlewood--Richardson coefficients and big Schur functions.
Contribution
It presents new combinatorial models and algorithms for understanding products of Schur's symmetric functions and their coefficients, including shifted Littlewood--Richardson coefficients.
Findings
New combinatorial objects: semistandard increasing decomposition tableaux.
Expressed big Schur functions as sums of products of Schur P-functions.
Derived Giambelli formulas for big Schur functions as determinants and Pfaffians.
Abstract
We introduce a new combinatorial object, semistandard increasing decomposition tableau and study its relation to a semistandard decomposition tableau introduced by Kra\'skiewicz and developed by Lam and Serrano. We also introduce generalized Littlewood--Richardson coefficients for products of Schur's symmetric functions and give combinatorial descriptions in terms of tableau words. The insertion algorithms play central roles for proofs. A new description of shifted Littlewood--Richardson coefficients is given in terms of semistandard increasing decomposition tableaux. We show that a "big" Schur function is expressed as a sum of products of two Schur -functions, and vice versa. As an application, we derive two Giambelli formulae for big Schur functions: one is a determinant and the other is a Pfaffian.
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Taxonomy
TopicsAdvanced Combinatorial Mathematics · Advanced Mathematical Identities · Algebraic structures and combinatorial models
Shifted tableaux and products of Schur’s symmetric functions
Keiichi Shigechi
Abstract.
We introduce a new combinatorial object, semistandard increasing decomposition tableau and study its relation to a semistandard decomposition tableau introduced by Kraśkiewicz and developed by Lam and Serrano. We also introduce generalized Littlewood–Richardson coefficients for products of Schur’s symmetric functions and give combinatorial descriptions in terms of tableau words. The insertion algorithms play central roles for proofs. A new description of shifted Littlewood–Richardson coefficients is given in terms of semistandard increasing decomposition tableaux. We show that a “big” Schur function is expressed as a sum of products of two Schur -functions, and vice versa. As an application, we derive two Giambelli formulae for big Schur functions: one is a determinant and the other is a Pfaffian.
1. Introduction
The ordinary representation of the symmetric group plays important roles in symmetric functions, representations, and the combinatorics of Young tableaux (see e.g. [3, 4, 19] and references therein). The projective representations of the symmetric and alternating groups were studied by Schur in [21] and Schur - and -functions were introduced. The expansion of the -function in terms of power-sum symmetric functions gives the characters of the projective representation, as the Schur functions do for the ordinary representation. After the invention of shifted tableaux by Thrall [25], there has been progress in connecting shifted tableaux and the projective representation. Shifted tableaux have combinatorial structures as the theory of ordinary tableaux: shifted analogue of the Robinson–Schensted–Knuth correspondence studied by Sagan [18] and Worley [26], and a shifted analogue of the Littlewood–Richardson coefficient by Stembridge [23]. Sagan and Worley introduced two combinatorial tools for the study of -functions: one is a shifted insertion and the other is shifted jeu-de-taquin. The shifted insertion possesses a shifted analogue of Schensted correspond, namely a bijection between a permutation and a pair of shifted tableaux of the same shape. Haiman constructed a mixed insertion which is dual to the shifted insertion in [6]. Here, “dual” means that application of the mixed insertion to the inverse of a permutation gives the same tableaux as the shifted insertion applied to . The pair of tableaux consists of the mixed insertion tableau and the mixed recording tableau. In [22], Serrano introduce the shifted Knuth (or shifted plactic) relations as a shifted analogue of the plactic relations introduced by Knuth [8] and further developed as the plactic monoid by Lascoux and Schützenberger [14]. Two words have the same mixed insertion tableau if and only if they are shifted Knuth-equivalent. Another combinatorial object is a semistandard decomposition tableau (SSDT) [11, 12, 22]. A SSDT is an output of Kraśkiewicz insertion for a word. The algorithm was introduced by Kraśkiewicz for the hyperoctahedral group [11] and further developed by Lam to study the Stanley symmetric functions [12]. A SSDT is also characterized by a shifted tableau, namely two words are shifted plactic equivalent if and only if they have the same semistandard Kraśkiewicz insertion tableau [22].
The expansion coefficients of a product of two Schur functions in terms of Schur functions are known as a Littlewood–Richardson coefficient. There are many combinatorial models to describe this coefficient: Littlewood–Richardson (LR) tableaux [15], lattice words based on plactic monoids (see e.g. [13, 14]), and puzzles [9, 10]. Similarly, expansion coefficients of a product of two -functions are known as Littlewood–Richardson–Stembridge (LRS) coefficients. Its combinatorial description based on the study of the projective representation is given by Stembridge in [23]. Another one in terms of SSDT’s is given by Cho in [2]. A description of expansion coefficients of a -function in terms of Schur functions is also given in [23]. This coefficient also appears in an expansion of “big” Schur function in terms of -functions. Thus, the expansion coefficient of a product of Schur’s symmetric functions in terms of Schur functions or -functions can be calculated by successive applications of the above-mentioned expansion coefficients.
The purpose of this paper is three-fold. First, we introduce shifted analogue of a Yamanouchi word (shifted Yamanouchi word for short) and a new concept called semistandard increasing decomposition tableau (SSIDT). We show the shifted and mixed insertion algorithms are characterized by Yamanouchi words and shifted Yamanouchi words, respectively. We construct a SSIDT from a SSDT. By construction, we have a bijection between a SSDT and a SSIDT, which implies that a SSIDT is bijective to a shifted tableau. A word obtained from an ordinary Young tableau is a concatenation of weakly increasing sequences. Since a SSDT is a concatenation of hook words and its shape is a strict partition , it can be viewed as a shifted analogue of an ordinary Young tableau. On the other hand, a SSIDT is expressed as a concatenation of weakly increasing sequences. The shape of a SSIDT is not but characterized by . From these properties, a SSIDT is also viewed as another shifted analogue of an ordinary Young tableau. We have two types of SSIDT for a given strict partition , which have the shapes and (see Section 3 for definition). By construction, a SSIDT of shape is a bijective to a SSDT of shape . There is also a one-to-one correspondence between SSIDT’s of shape and .
Secondly, we survey generalized Littlewood–Richardson coefficients. We have four types of symmetric functions: a Schur function , a “big” Schur function , a -function and a -function where and are ordinary partitions and is a strict partition. A Schur -function is related to the -function by where is the length of . Roughly speaking, contains the same information as . We consider a product of these three functions and expand it in terms of Schur functions or -functions (see Section 4 for definition). We call these expansion coefficients generalized Littlewood–Richardson coefficients. Generalized Littlewood–Richardson coefficients can be essentially calculated by using LR coefficients and LRS coefficients successively. However, this method is not efficient. We propose simple combinatorial descriptions of generalized Littlewood–Richardson coefficients in terms of tableau words. The proofs are elementary but combinatorial. We make use of insertion algorithms introduced in Section 2. We also give alternative combinatorial descriptions for the Littlewood–Richardson–Stembridge coefficients, one of which is in terms of SSIDT (see Theorem 4.33).
Finally, we study a relation between a “big” Schur function and Schur -functions. A Schur function can be expressed as a sum of products of two Schur -functions. This expansion has a remarkable property: the expansion coefficient is either or except an overall factor, which means that it is multiplicity free. By inverting this relation, a product of two -functions can be expanded in terms of -functions. Again, the expansion coefficient is or except an overall factor. Similarly, a skew “big” Schur function can be also expanded in terms of products of two skew -functions. When two partitions and are shift-symmetric, we recover the result by Józefiak and Pragacz [7]. We also give an expression of -functions in terms of perfect matchings. Recall that Schur function and -function have Giambelli formulae: is determinant and is a Pfaffian. By deducing from the expression in terms of perfect matchings, we propose two Giambelli formulae for a skew Schur -function : one is determinant and the other is Pfaffian.
The plan of this paper is as follows. In Section 2, we introduce basic facts about Schur symmetric functions and insertion algorithms. In Section 3, we give the definition of a semistandard increasing tableaux, and show that the map from a SSDT to a SSIDT is well-defined. Section 4 is devoted to the analysis of generalized Littlewood–Richardson coefficients. In Section 5.1, we show that a “big” Schur function is expanded in terms of products of two -functions and vice versa. We give a description of big Schur function in terms of perfect matchings. Based on these expressions, we give two Giambelli formulae for a “big” Schur function .
2. Schur’s symmetric functions and insertion algorithms
2.1. Schur’s symmetric functions
A partition of is a finite non-increasing sequence of positive integers such that . The are called the parts of the partition. The integer is called the size of and denoted . The length of a partition is defined as the number of parts, i.e., . The Young diagram of is an array of boxes with boxes in the -th row. The skew Young diagram is obtained by removing a Young diagram from containing . We denote by the conjugate of a partition , i.e., .
A strict partition is a partition with all parts distinct, i.e., . For a strict partition , the shifted diagram or shifted shape of is an array of boxes where the -th row has boxes and is shifted steps to the right with respect to the first row. The skew shifted diagram is obtained by removing a shifted diagram from containing . The main diagonal of a skew shifted diagram is a set of boxes indexed .
Let and be a strict partition satisfying or . We construct an ordinary Young diagram from and by transposing and glueing together and along the main diagonal (see the right picture in Fig. 2.1). We denote the diagram by . When , i.e., , we call a shift-symmetric tableau.
A semistandard Young tableau of shape is a filling of the shape with letters from the alphabet such that
- •
each row is weakly increasing from left to right
- •
each column is increasing from top to bottom.
A skew semistandard Young tableau is defined analogously. The content of is an integer sequence , where is the number of the letter in . A semistandard tableaux is called standard when its content is . We denote the set of semistandard tableaux of shape by .
A semistandard shifted Young tableau of (ordinary or shifted) shape is a filling of the shifted shape with letters from the marked alphabet such that
- •
rows and columns of are weakly increasing
- •
each letter appears at most once in every column
- •
each letter appears at most once in every row
- •
no primed letter on the main diagonal.
A skew shifted Young tableau is defined analogously. The content of is an integer sequence , where is the number of the letter and in . A semistandard shifted tableau called marked standard when its content is and the letter is possibly primed once. A marked standard tableau is called standard when it is a marked standard tableau without primed letters. We denote the set of semistandard shifted tableau of shape by .
For an ordinary or shifted tableau with content , we denote the monomial by
[TABLE]
For a partition , we define Schur functions as
[TABLE]
The skew Schur functions and are defined similarly for the skew shape .
For a strict partition , the Schur - and -functions are defined as
[TABLE]
The skew Schur - and -functions and are defined similarly.
2.2. Littlewood–Richardson coefficients
We define the Littlewood–Richardson coefficient as
[TABLE]
that is, is the multiplicity of in the product of two Schur functions and .
The LR coefficient is expressed in terms of Yamanouchi words [15]. We have
[TABLE]
The coefficients also appear in the case of -functions (see e.g. [16]):
[TABLE]
Let and be strict partitions satisfying . Similarly, a Littlewood–Richardson–Stembridge coefficient is defined in terms of Schur -function as
[TABLE]
Theorem 2.2** (Stembridge [23]).**
We have
[TABLE]
2.3. Skew functions
The skew Schur functions are expressed in terms of Littlewood–Richardson coefficients as
[TABLE]
The skew -function is given by .
2.4. Basic properties of Schur functions
We summarize properties of Schur -functions and -functions. The reader is referred to [16] for detailed definitions and proofs.
Let be the graded ring of symmetric functions in the variables with coefficients in . The power-sum symmetric function , , is defined by , and we denote for a partition . The set forms a basis of . Another basis of the ring is Schur functions . We have is a -bases of . We define the bilinear form on via the generating function
[TABLE]
Thus Schur functions are orthonormal bases of , namely
[TABLE]
Let be the graded subalgebra of generated by and let denote the -coefficient graded subring of . Let denote the partitions of with odd parts. Then, the set forms a basis of . We define an inner product on by the generating function
[TABLE]
where denote the set of distinct partitions. where for . Thus, we have
[TABLE]
The bilinear form and are related by Proposition 9.1 in [23]:
[TABLE]
where is an ordinary partition.
Define symmetric functions by the generating function
[TABLE]
A -function with can be expressed in terms of , namely we have
[TABLE]
The skew Schur -function has a determinant expression:
[TABLE]
where for and .
Let be the symmetric group of order and be the subset
[TABLE]
For a skew symmetric matrix of order , we define the Pfaffian of as
[TABLE]
where is the sign of the permutation .
Let for and for . We denote . We define a skew-symmetric matrix as
[TABLE]
for . A skew -function is expressed as (see e.g. [7])
[TABLE]
Especially, a (non-skew) -function has a simple Pfaffian expression:
[TABLE]
where for odd.
2.5. Insertion algorithms
We introduce four insertion algorithms used in this paper. We start with the the Robinson–Schensted–Knuth (RSK) correspondence.
Definition 2.3** (RSK insertion [20]).**
For a word in the alphabet , we recursively define a sequence of tableaux . For , we insert into as follows.
We start with , and .
- ()
Insert into the -th row of , bumping out the smallest letter which is strictly greater than . Let new be the tableau where is replaced by in . We define new and new , and go to ().
The insertion algorithm stops when a letter is placed at the end of a row.
A tableau is obtained from by adding a box with content on the same location as a new box added to to obtain .
We call the insertion tableau and the recording tableau. When a word has a pair , we denote .
A shifted mixed insertion was introduced by Haiman for the correspondence between permutations and pairs of shifted Young tableaux. This mixed insertion can be viewed as a shifted analogue of the Robinson–Schensted–Knuth correspondence. A semistandard generalization of the mixed insertion of Haiman was given by Serrano. This extended insertion gives a correspondence between words in the alphabet and pairs of semistandard shifted and standard shifted Young tableaux.
Definition 2.4** (Mixed insertion [6]).**
For a word in the alphabet , we recursively define a sequence of tableaux, . For , we insert into as follows.
We start with , and .
- ()
Insert into the -th row of , bumping out the smallest letter which is strictly greater than . Let new be the tableau where is replaced by in and be the position of in old .
- (1)
If is not on the main diagonal, then
- (a)
if is unprimed, then we insert into the -th row. We bump out the smallest element which is strictly greater than . We set , be the position of in and go to () . 2. (b)
if is primed, then we insert into the -th column to the right. We bump out the smallest element which is strictly greater than . We set , be the position of in and go to . 2. (2)
If is on the main diagonal (* is unprimed), then we prime it and insert it into the -th column to the right. We bump out the smallest element which is strictly greater than . We set , be the position of in and go to .*
The insertion algorithm stops when a letter is placed at the end of a row or a column.
A tableau is obtained by adding a box with content on the same location as a new box added to to obtain .
We call the mixed insertion tableau and the mixed recording tableau and denote them and , respectively. When a word has a pair by the mixed insertion, we denote .
In case of ordinary tableaux, Knuth has proved that two words and in have the same RSK insertion tableau if and only if and are equivalent modulo the plactic relations [8]. The following theorem is a shifted analogue of the plactic relations for the mixed insertion.
Theorem 2.5** (shifted plactic relations [22]).**
Two words have the same mixed insertion tableau if and only if they are equivalent modulo the following shifted plactic relations:
[TABLE]
There is another insertion process for the correspondence between permutations and pairs of standard and marked standard shifted tableaux. We call this insertion process shifted insertion. We define the shifted insertion following [18].
Definition 2.6** (Shifted insertion [18]).**
For a word in the alphabets , we recursively define a sequence of shifted tableaux . For , we insert a letter into as follows:
We start with , , and .
- (1)
If , then we insert into the -th row of , bumping out the smallest letter which is strictly greater than . Let (new) be the tableau where is replaced by in . If is on the main diagonal, we set , and and go to . Otherwise, we set , and go to . 2. (2)
If , then we insert into the -th column of , bumping out the smallest letter which is greater than or equal to . Let (new) be the tableau where is replaced by in . We set , and go to .
The insertion process stops when a letter is placed at the end of a row or a column. If (resp. ) when the insertion process stops, we call the process Schensted (resp. non-Schensted) move.
A tableau is obtained by adding a box with content on the same location as a new box added to to obtain . If the insertion is non-Schensted move, we put a prime on .
We call the shifted insertion tableau and the shifted recording tableau and denote them and .
For a permutation , the mixed insertion and the shifted insertion are related by Theorem 6.10 in [6]:
[TABLE]
We introduce the notion of semistandard decomposition tableaux in the following.
A word on is called a hook word if there exists such that
[TABLE]
We denote by the subword of and by the subword .
Definition 2.7** (Semistandard Kraśkiewicz (SK) insertion [11, 12, 22]).**
For a given hook word with and and a letter , the insertion of into is the word if is a hook word, or the with an element which is bumped out in the following way:
- (1)
let be the leftmost element in which is strictly greater than x 2. (2)
replace by 3. (3)
let be the leftmost element in which is less than or equal to 4. (4)
replace by and bump out . A word is a word obtained from by replacing and in by and .
The insertion of into a SSDT with rows is defined as follows. First, we insert into and bumps out . Then, we insert into the second row . We continue this process until an element is placed at the end of the row .
The SK insertion tableau of a word is obtained from the empty tableau by inserting the letters . At an each steps, we obtain a SSDT. We denote by the SK insertion tableau for a word . The SK recording tableau is the standard shifted Young tableau obtained by adding a box with content on the same location as a new box added to to obtain
2.6. Tableau words
Let be an ordinary or shifted tableau. The reading word is obtained by reading the contents of from the bottom row to the top row and in an each row from left to right.
For any letter in , we set and . Let be a reading word of in the alphabet . We write . The weak reading word is obtained by reading unprimed letters of the word .
For a word , we define a reversed word .
Given two words and , we define the concatenation of and as .
Let be a word in the alphabet . A word with lattice property is a word satisfying for all and . In other words, the occurrence of in is greater than or equal to the occurrence of in . A Yamanouchi word is a word such that its reversal word satisfies the lattice property.
We say that a word is a weak Yamanouchi word if weak reading word is a Yamanouchi word.
We follow [23] to define a Littlewood–Richardson–Stembridge (LRS) word. Let be a word over the alphabet . We define depending on as
[TABLE]
The word is said to satisfy the lattice property if , we have
[TABLE]
A word is said to be an LRS word if it satisfies (i) satisfies the lattice property (ii) the first occurrence of a letter or in is .
The condition (i) for an LRS word can be rephrased as follows. For any letter in , we set and . Let be a word in the alphabet . We write . The concatenated word of is a Yamanouchi word, that is, every letters or is preceded by more occurrence of than that of in from right to left.
Let be a word in the alphabet and be the maximum letter in . We recursively define a strictly increasing sequence of length , , starting from to as follows. A number is the position (from left end) of the leftmost in . A number , , is the position (from left end) of the leftmost which is right to the position . We delete the letters appearing in from and construct from the remaining letters in by the same procedure as above. We say a word is shifted Yamanouchi word if (i) is a Yamanouchi word, (ii) there exits at least one to the left of the leftmost , and (iii) A sequence of positive integers for is strictly increasing, i.e., .
The shifted insertion and the mixed insertion are characterized by Yamanouchi words and shifted Yamanouchi words.
Proposition 2.8**.**
Let be a word of content . Then, we have
[TABLE]
Proof.
We first show the right term of Eqn.(2.17) implies the left term. Suppose that the word is written as a concatenation of subwords . Since is a Yamanouchi word, the number of satisfying is strictly greater than that of in . The insertion of into results in a tableau such that is in the first row. The Yamanouchi property ensures that is bumped out by a letter and is inserted into the second row, a letter bumps out these and and insert them into the next rows, and finally a letter bumps out letters from to which are inserted into the next rows. As a result, the letter , , is in the -th row of a tableau . This is nothing but . Further, if is not a Yamanouchi word, it is easy to see that . Thus, Eqn.(2.17) is true.
For Eqn.(2.18), observe that does not have a primed entry. Suppose that is a shifted Yamanouchi word of content . From the properties (ii) of a shifted Yamanouchi word, at least one appears left to in . The property (iii) implies that, in the word , there are at least one , , in-between the -th leftmost letter and the -th leftmost letter for . Suppose . We insert into a tableau . The above constraint implies that if is in the -th row of , bumped out by and inserted into the -th row, there are at least one , , in the -th row. Thus, a letter cannot be placed on the main diagonal in the -th row with . After the mixed insertion, does not have a primed entry and the Yamanouchi property ensures that . If is not a shifted Yamanouchi word, we have at least one primed entries, or the shape of is not equal to . This completes the proof. ∎
Let be a strict partition and be a word of content . Then, the left hand side of Eqn. (2.18) is equal to the number of , that is the number of standard shifted tableaux of shape . Let denote the set of standard shifted tableaux of shape .
Proposition 2.9**.**
We have
[TABLE]
3. Semistandard increasing decomposition tableau
For a strict partition , we define two skew shapes and as follows. The skew shape is obtained by transposing and shifting the -th row steps to the right with respect to the -th row. Let be the ordinary partition whose parts are the same as the ones of . The skew shape is obtained from by rotating degrees in anti-clockwise direction and shifting the -th row steps to the right with respect to the -th row. The shapes have anti-diagonals and its -th anti-diagonal is of length . See Figure 3.1 for an example.
We denote by a semistandard tableau of the shape and corresponding to a shifted tableau . Especially, we consider a semistandard tableau such that the shape of is and . We call a semistandard tableau a semistandard increasing decomposition tableau (SSIDT). A SSIDT can be seen as a shifted analogue of an ordinary Young tableau. A reading word of is decomposed into sequences where , each word is weakly increasing and is compatible with the shape .
In the rest of this section, we construct a SSIDT corresponding to a shifted tableau . We first construct from a SSDT. Then, by using , we construct a SSIDT .
3.1. Construction of
Let be a word in the alphabet . We denote by the SSDT obtained by semistandard Kraśkiewicz insertion and by the shape of . Let be the -th row of . By definition, is a hook word of length . Recall that is the decreasing part of . Then, we have
Proposition 3.2** (Theorem 4.1 in [12]).**
The decreasing parts , form a strict partition.
Below, we construct the tableau from a SSDT .
We denote by the strict partition formed by the decreasing parts of . From the construction, the shape is of length and its part is smaller than or equal to . We consider a up-right path from the leftmost box in the -th row to the rightmost box in the first row. A path is inside of the shape and therefore the length of a path is . Let , be the coordinate of a box in the up-right path. Here, the coordinate system is matrix notation, that is, increases from top to bottom and increases from left to right. The coordinate of the starting point is . First, we move along the shape of , i.e., the -th coordinate is if the box on is in and if the box on is not in . If we arrive at , we move only right from to . We denote by the obtained path.
Three boxes on and are in the path and the box on is not in . We say that a path has a corner at . We define a path from by bending the path at a corner as follows. Suppose that has a corner at . Then, it is obvious that a box is not in . If the content of the box on in the SSDT is greater than or equal to that of the box on , we obtain a new path by locally changing the path such that the path pass through instead of . We call this local change of a path as a bending. We perform a bending at a corner of until no bending occurs at corners in the path any more. We denote by the obtained up-right path in . Let be a word reading the content of along the path starting from the box on . Recall that the length of is . We put the letters in on the first anti-diagonal of the shape from bottom to top.
We remove the boxes on the path from the SSDT and denote by the tableau with removed boxes. We introduce the reverse SK insertion of type I to obtain a new SSDT whose shape is . We construct from by the reverse insertion defined below.
Definition 3.3** (reverse SK insertion of type I).**
Let be a hook word with and . We reversely insert a letter into in the following way:
- (1)
let be the rightmost element in which is greater than or equal to 2. (2)
replace by 3. (3)
we insert into such that the obtained sequence is a weakly increasing one.
We denote by the successive reverse SK insertions of into .
Let (resp. ) be a word in the -th row of and left (resp. right) to the path . Suppose that . The -th row of is obtained by the following reverse SK insertion: . By construction of a path , the word is weakly increasing.
We construct a path from and put the word on the second anti-diagonal of from bottom to top. We repeat above procedures times and obtain the tableau from . See Example 3.13 below.
Theorem 3.4**.**
The construction of is well-defined, i.e., a word obtained from is compatible with the shape . Further, the tableau word produces the same mixed insertion tableau as .
Before we move to a proof of Theorem 3.4, we introduce five lemmas needed later.
Lemma 3.5**.**
Suppose that the word satisfies
- (1)
* and are weakly increasing,* 2. (2)
* for ,* 3. (3)
.
Then, where .
Proof.
By using shifted plactic relations, we have
[TABLE]
∎
We introduce the inverse of the SK insertion.
Definition 3.6** (reverse SK insertion of type II).**
Let be a hook word satisfying Eqn. (2.16). Define and . We reversely insert a letter into and obtain a new word with the elements as follows:
- (1)
let be the rightmost element in which is greater than or equal to , and set , 2. (2)
replace by , 3. (3)
let be the rightmost element in which is smaller than , 4. (4)
replace by and bump out . A word is obtained from by replacing and by and , and .
If there exists no in the step (3), we insert into such that the obtained sequence is weakly increasing.
Remark 3.7**.**
We apply the reverse SK insertion of type II only when and . Otherwise, is a hook word and the length of is the length of plus one. This means that can not be a row of a semistandard decomposition tableau.
The reverse SK insertion of type II is an inverse of the SK insertion. For a given SK recording tableau, one can obtain a word by applying the reverse SK insertion of type II to the corresponding element in the SK insertion tableau.
Let be a word such that is a hook word of length and satisfies . Since the word gives the same SK insertion tableau as itself, is of shape if and only if a partial word form a tableau word of shape . Further, if , we have a SSDT of shape by deleting from the -th to -th elements in . Therefore, it is enough to give criteria for a SSDT of shape to check whether a word gives a SK insertion tableau of shape . Let and we denote and . We construct two sequences of letters and by using reverse SK insertion of type II as follows. We start the process below with and , decrease one-by-one. By reverse SK insertion of type II, we insert into and obtain a new word with elements . Since a word is of length , we delete the last element in and obtain a new word . We continue the process until we obtain words and of length . We denote by an -th element from left in a word .
Lemma 3.8**.**
If a word produces a SSDT of shape by the SK insertion, then
- (1)
* for ,* 2. (2)
* for ,* 3. (3)
* for .*
Proof.
We first show that , and . Suppose that . Since is a hook word, a word is also a hook word of length . By the SK insertion, it is obvious that the shape of is not . Thus, we have . Since , a word is a hook word of length . Recall that the reverse SK insertion of type II is the inverse of the SK insertion. By definitions of these insertions, is an element which is bumped out by the insertion of into . From the process (1) in Definition 2.7, we have . Suppose that . Then, . Since , is a hook word of length . The SK insertion tableau of does not have the shape , which is a contradiction to the assumption. Thus, we have .
It is easy to check that the reverse SK insertion of type II is an inverse of the SK insertion. This implies that the word produces the same SK insertion tableau as . Note that a word is obtained from by deleting the last element. If is of shape , then has to be of shape . Combining this with the argument above, we obtain , and . ∎
Example 3.9**.**
For example, let with and . The shape of is not , since we have a sequence of tableaux by the reverse SK insertion of type II:
[TABLE]
The third tableau corresponding to the word violates the condition (3) in Lemma 3.8. Note that, for example, the SK insertion of to produces a word , and one can check that the reverse SK insertion of type II is the inverse of the SK insertion.
Let be the reading word of a SSDT of shape . The word is a hook word of length . We denote by the -th element of . A strict partition is obtained from by the reverse SK insertion of type II, namely, insert into a word . From Lemma 3.8, if we insert into by the reverse SK insertion of type II, then we bump out and successively insert into . Let be the path of length constructed from the SSDT . By construction, the path contains the element . If , the path contains the elements with . Thus, without loss of generality, it is enough to consider the case where . We consider two cases: (a) the element is in the path , and (b) is not in .
Lemma 3.10**.**
Suppose that the element is in the path . Then, we have .
Proof.
Suppose that . From Proposition 3.2, decreasing parts form a strict partition . We have two cases: (i) , and (ii) .
Case (i)
The SSDT is locally given by
[TABLE]
where , , and . Since and are hook words, we have
[TABLE]
From the assumption, and are in the path . By construction of a path, a path before bending is . By bending the path, we have constraints on and , namely for . Similarly, we have constraints on and , that is, for . By inserting elements from to into the first row by the reverse SK insertion of type II, the obtained SSDT looks locally like
[TABLE]
If , we have . If , we have for some . Note that and we insert a letter into rather than in case of the reverse SK insertion of type II. Therefore, if we insert the elements form to into the first row by the reverse SK insertion of type II, we have a increasing sequence left to the position of in . Thus, the minimum of the first row appears at the position or left to . On the other hand, is the minimum in the second row, this contradicts to the fact that decreasing parts form a strict partition in a SSDT. Thus, we have .
Case (ii)
The SSDT looks locally like
[TABLE]
where and . Since the path includes the elements and , bending gives the constraints: and for . If , is placed left to by the reverse insertion of type II. Then, the element is the minimum of the first row and left to . This contradicts to Proposition 3.2. If , let be the maximal integer such that . The integer exists since we have . By a similar argument to above, is placed left to by the reverse SK insertion of type II. This also contradicts to Proposition 3.2. Thus, we have . ∎
Lemma 3.11**.**
Suppose that the element is in the path . Then, we have .
Proof.
From Lemma 3.10, we have . Let be the smallest element in . Then, we have two cases: (a) and (b) .
For case (a), let . The SSDT looks locally like
[TABLE]
where , , for and for . A path before bending is . Since is included in the path , we have to bend the path at corners for . From the definition of bending, we have for . Thus we have .
For case (b), suppose that . We insert for into by the SK insertion. Since and are strictly decreasing sequences, the length of the first row after the insertion is greater than . This is a contradiction to the shape of . Thus, we have . ∎
Suppose that we have . From Lemma 3.8, we have and . Let be the rightmost element in which is greater than or equal to .
Lemma 3.12**.**
Suppose that is not in the path . Then, the element is not included in the path .
Proof.
Suppose that a letter is included in the path . From the definition of , we have . Since , there exists such that a path has a corner at . A SSDT locally looks like as follows:
[TABLE]
The elements form the path. By definition, the elements right to the path form a weakly increasing sequence, we have . Since has a corner at , we have . From these observations, we have , which is a contradiction to the assumption. Therefore, is not included in . ∎
Proof of Theorem 3.4.
We prove Proposition by induction. Let and . We denote by the shape of . We assume that Proposition is true for . If , it is obvious that . This implies the word is compatible with the shape and has the same insertion tableau as the word .
Suppose that . We denote by a strict partition obtained from by deleting the rightmost box of the first row of . The shape of is given by . From the construction of paths from and , the element is placed at the rightmost box of the first anti-diagonal in . This means that the word obtained from is compatible with the shape . Since a word in has the same mixed insertion tableau as by assumption and is the last element of the word in , the word in and have the same mixed insertion tableau. Thus, Proposition holds true in this case.
Below, we assume without loss of generality. Let be the maximal integer such that and be a strict partition obtained from by replacing with . We denote by the reading tableau word of . By reversing the SK insertion, we have a word of length such that is of shape and there exists a letter satisfying . Since produces the shape , one can take . Let be the tableau word . Suppose that . The letter is the rightmost content of the first row of . The insertion of to the first row of results in . This implies that the length of the first row increases after the insertion. This contradicts . Thus, we have . Let be the first row of . Suppose that a hook word does not have an increasing part, i.e., . If we insert into , the word is a hook word of length . This contradicts . Thus, a hook word has an increasing part, i.e., .
Let (resp. ) be a tableau word of shape (resp. ) corresponding to (resp. ). We denote by the tableau word of length obtained by reading the -th anti-diagonal of . We define for in a similar way.
Let be a path of length in . Suppose that the path is obtained from a path by bending at corners. The path is along the shape where is a strict partition formed by decreasing parts of . We denote by the reading word along the path in . Since , we have . By definition, we have . However, since a bending at a corner gives an equal or smaller letter, we have . Similarly, for , the -th row of has a non-empty increasing part since the decreasing parts of form a strict partition (see Proposition 3.2). We denote by the path obtained from , where and is a SSDT obtained from by removing boxes in and successively applying the reverse SK insertion of type I. Let be the first row of . Since the -th row of has an increasing part and the reverse SK insertion of type I does not decrease the length of the increasing part, we have . From Lemma 3.10, the rightmost element of the second row of is not in the path . Therefore, the rightmost and the second rightmost elements of the first row in are both in the path . This implies .
Let be the rightmost element in the second row of . Since is not in the path , we apply the reverse SK insertion of type I to . By definition, bumps out an element greater than or equal to , that is, . Since we can not apply bending in , we have . From these, we have , which implies . By a similar argument, we have .
Suppose that corresponds to . Let be the elements forming the second rightmost column of and be the elements forming the rightmost column. By summarizing the above observations, these elements satisfy for , for . If we denote , we have . Thus, we can put above in which corresponds to the insertion of into . By using Lemma 3.5 successively, we obtain a new tableau of the shape . A schematic procedure is as follows:
[TABLE]
By construction, is compatible with the shape and its tableau word produces the same mixed insertion tableau as .
To prove Theorem, we have to show that obtained from is nothing but . Suppose that the path of length constructed from contains for . From Lemma 3.10, a word , , is strictly decreasing. The element is contained by since a path is an up-right path. We insert into by the reverse SK insertion of type II. The insertion is characterized by Lemma 3.8. From Lemma 3.8 and Lemma 3.12, the partial path from to is not changed by the insertion. The partial path from to changes locally by the insertion as follows:
[TABLE]
where and means that this element is bumped out by the insertion. Since for (by Lemma 3.11), the new path of length is identical to the old path except the last element. Note that . This condition corresponds to putting above in . To obtain paths from , we delete the path of length and perform the reverse SK insertion of type I on it. Let (resp. ) be the -th path of length (resp. ) obtained from (resp. ). The difference between and is the last element by using a similar argument above. More precisely, we have for and for . In this way, we obtain from . Combining these observations, we have shown that is . This completes the proof. ∎
Example 3.13**.**
Let . An example of a SSDT of shape is the leftmost tableau in Figure 3.14. From this SSDT, we obtain a path of length and its word is given by .
By removing the boxed elements, we obtain a SSDT of shape (see rightmost picture in the first row in Figure 3.14). By extracting a path , , we obtain a SSDT of shape . A path is equal to the third SSDT, namely . By putting the elements in the paths and on the anti-diagonals, we obtain a semistandard increasing decomposition tableau of shape (see Figure 3.15) corresponding to the SSDT of shape . One can easily check that the words constructed from the SSDT and produce the same shifted tableau by the mixed insertion.
3.2. Construction of
Let be a strict partition. We construct a bijection between a semistandard shifted tableau of shape and a semistandard shifted tableau . We call also a semistandard increasing decomposition tableau. There are five steps for this bijection:
- (1)
perform the standardization on and obtain a standard tableau , 2. (2)
perform a “dual” operation on with respect to primes and obtain , 3. (3)
construct a SSDT from , then obtain a tableau from the SSDT, 4. (4)
take a flip of and obtain a standard tableau , 5. (5)
destandardization of .
Step 1:
We denote by the number of a letter in a tableau . We define a standard tableau of from as follows. We replace ’s in with the letter from top to bottom. Successively, replace ’s by the letter from left to right. Continue with ’s in which are replaced by , and so on, until we obtain a standard tableau. We denote by the standard shifted tableau corresponding to a tableau . Note that when we replace primed (resp. unprimed) letter with a letter, we work from top to bottom (resp. from left to right). We define a content as .
Step 2:
A given standard shifted tableau , we consider the following “dual” operation:
- (i)
letters on the main diagonal are unchanged, 2. (ii)
a letter which is not on the main diagonal is replaced by . Here, we set and for .
The new semistandard shifted tableau is denoted by . Note that this operation is an involution, i.e., .
Step 3:
For our purpose, it is enough to find a word such that . This is easily done by reversing the mixed insertion starting from a pair of tableaux where is an arbitrary chosen standard shifted tableau. Once is fixed, we can obtain a SSDT by the SK insertion and a tableau from the SSDT.
Step 4:
We reflect over the diagonal line and obtain a standard tableau .
Step 5:
Let be the content of . We replace the letters from to in by , the letters from to in by , and so on. This destandardization of gives a semistandard increasing decomposition tableau .
Theorem 3.16**.**
Let be a shifted tableau of shape and be a semistandard increasing decomposition tableau of shape constructed by the above steps. Then, is well-defined, i.e., the reading word satisfies 1) the word is compatible with the shape and 2) .
Before proceeding to a proof of Theorem 3.16, we introduce a proposition and two lemmas needed for the proof.
Proposition 3.17** (Proposition 8.8 in [6]).**
We have .
Given a shifted tableau , we denote .
Lemma 3.18**.**
Let be the reading word of and be the reading word of a tableau which is obtained by reflecting over the diagonal line. Then, we have .
Proof.
We first show Lemma is true when . In this case, we have . We enumerate the rows of by from top to bottom and the boxes in the -th row by for . Let be the content of the -th box in the -th row in . By definition, we have
[TABLE]
Since is standard, satisfies
[TABLE]
for . We depict and as
[TABLE]
where means that we read a word from right to left starting from the top row to bottom, and means that we read a word from top to bottom starting from the rightmost column to the leftmost column. We make use of induction on . Suppose that we have for some . For , we have
[TABLE]
In Eqn. (3.1), the second picture means we first read the rightmost column and then read the word in the triangle of size , the third picture is obtained by applying the induction assumption on the second picture and by decomposing the triangle of size into a single row and a triangle of size . Since is the maximal content, by applying Lemma 3.5 successively, the last picture in Eqn. (3.1) is equal to
[TABLE]
where we have used the induction assumption in the first and third equality.
For a general , recall that has boxes in the -th anti-diagonal. The shape is obtained as a union of the shapes ’s where is a staircase. For example, if , is a union of and with and (see Figure 3.19).
Suppose that and are staircases, and and overlap. We have
[TABLE]
By applying the procedure above to , we obtain . ∎
Lemma 3.20**.**
Let and be a word and a shifted tableau such that . Then
- (1)
If the unprimed letters from to form a vertical strip from top to bottom in , then form a decreasing sequence in . 2. (2)
Let for be unprimed letters. If the letters with or form a horizontal strip from left to right in , then form a decreasing sequence in .
Proof.
We assume that and form an increasing sequence in for (1) and (2). Suppose that (resp. ) are in the -th (resp. -th) row of a tableau.
For (1), since we insert the letter into a tableau before , and and are unprimed, it is obvious that . The letters and form a horizontal strip. By taking contraposition, (1) follows.
For (2), if and are unprimed, we have and is in a column right to from (1). An unprimed letter becomes primed when it is placed on the main diagonal and bumped out by a smaller letter. Suppose that is in the -th column of the main diagonal and is in the -th column with . If , the letters is placed above in the -th column after bumping. If , and form a horizontal strip from left to right. To have primed, we consider bumpings of by smaller letters. In the case of , we arrive at a configuration such that is above by bumping of . When becomes primed, and form a vertical strip from top to bottom. By taking contraposition, (2) follows. ∎
Proof of Theorem 3.16.
For (1), observe that is a standard tableau obtained from . Let (resp. ) be unprimed letters in corresponding to (resp. ) in . In , the letters form a vertical strip if there exists a letter below all ’s. In , the letters form a vertical strip if there is no letter below all ’s. Similarly, the letters with or form a horizontal strip in . From Lemma 3.20, form a decreasing sequence in . Since a row in is an increasing sequence, there exists at most one , , in a row. The tableau is obtained from by reflecting it over the anti-diagonal. Thus, there exists at most one in a column of . After destandardization, the tableau contains at most one in a column. This implies that is compatible with the shape .
For (2), let be the reading word of and be the reading word of a tableau which is obtained by reflecting over the main diagonal. Then, from Proposition 3.17 and Lemma 3.18, we have
[TABLE]
Note that the reflection of over the main diagonal corresponds to performing the “dual” operation with respect to primes on it. Thus, we have . ∎
Example 3.21**.**
Let be a shifted tableau in the left picture of Figure 3.22.
After standardization and taking dual with respect to primes, we have a tableau as the right picture of Figure 3.22. There are several words which form by the mixed insertion, an example of them is . We obtain a SSDT and as in Figure 3.23.
By reflecting over the diagonal line and performing a destandardization, we obtain
[TABLE]
The mixed insertion of the reading word is .
4. Generalized Littlewood–Richardson coefficients
4.1. Generalized Littlewood–Richardson rules
We define generalized Littlewood–Richardson (LR) coefficients , , , , and as follows:
[TABLE]
Let and , i.e., and are an expansion of in terms of Schur functions . Then we have
[TABLE]
Similarly, we have and . Eqn. (2.2) implies
[TABLE]
4.2. Tableau words
We will give expressions for generalized LR coefficients in terms of tableau words.
Let , and be an ordinary or shifted partitions satisfying . We denote by be a set of tableaux (without primed letters) of shape whose content is . Similarly, we denote by be a set of shifted tableaux (possibly with primed letters) of shape whose content is . We denote by be a set of shifted tableaux (possibly with primed letters and diagonal elements can be primed) of shape whose content is . We define .
Theorem 4.1**.**
Let be ordinary partitions and be a strict partition. We have
[TABLE]
By setting in Theorem 4.1, we have
Corollary 4.2** (Stembridge [23]).**
Let be an ordinary partition and be a strict partition.
[TABLE]
Proof of Theorem 4.1.
We have
[TABLE]
The Schur function is written by a skew -function as where with . By the orthogonality , we obtain
[TABLE]
The skew shape is equivalent to where and . We complete the proof by the equality (4.1) together with Theorem 2.2. ∎
Theorem 4.3**.**
Let and be ordinary partitions. We have
[TABLE]
In [5], Gasharov has proved the Littlewood–Richardson rule by using the Bender–Knuth involution [1]. We show Theorem 4.3 by a shifted analogue of the proof proposed by Gasharov. We make use of the involutions introduced by Stembridge in [24].
We introduce two lemmas needed later for a proof of Theorem 4.3. For a partition of length and a permutation , we define
[TABLE]
Since has a determinant expression (Eqn.(2.3)), we have
[TABLE]
Then, is rewritten as
[TABLE]
When a strict partition is a single row, i.e., , we have . From Theorem 4.1, one can easily obtain a Pieri formula for a product of and . The factor two comes from the fact that the first unprimed integer in is free to choose primed or unprimed. Therefore, we have
[TABLE]
where
[TABLE]
Let be the subset of :
[TABLE]
Lemma 4.4**.**
If , .
Proof.
Since , the number of and is equal to or greater than that of and . This implies that , i.e., . On the other hand, we have . Thus we have for . This property can be satisfied by only . ∎
Lemma 4.5**.**
There exists a bijection with .
For a construction of a bijection , we make use of the involution on tableaux developed by Bender and Knuth for ordinary partitions [1] and by Stembridge for shifted partitions [24]. We briefly review these involutions before we move to a proof of Lemma 4.5.
A skew diagram is said to be detached if has at most one box on the main diagonal.
Let be the set of shifted tableaux whose contents are and . Then, we have
Lemma 4.6** (Bender–Knuth [1]).**
Suppose that is detached. There exists a content-reversing involution on .
Proof.
Since contents of are and , there are at most two boxes in a column. Further, if there are two boxes in a column, the contents are and from top to bottom. We say that the content (resp. ) is free if there is no (resp. ) in the same column. Suppose that a is not free in and denote by the position of this . Since is detached, a left to in the same row is not free. Similarly, suppose that is not free in and denote by the position of this . Then, a right to in the same row is not free. In a row of , we have non-free ’s, free ’s, free ’s and non-free ’s from left to right. The involution exchange and , i.e., the row of has non-free ’s, free ’s, free ’s and non-free ’s from left to right. By construction, is content-reversing. ∎
Similarly, let be the set of shifted tableaux whose contents are and . Then, we have
Corollary 4.7**.**
Suppose that is detached. There exists a content-reversing involution on .
The involution is obtained by transposing , i.e., we replace a row in the definition of by a column.
Let be the set of tableaux with contents and . Similarly, be the set of tableaux with contents and , but with a nonstandard ordering .
Lemma 4.8** (Stembridge [24]).**
Suppose that is detached. There exits a content-preserving bijection .
Proof.
A skew shape is a union of connected components. The action of is defined on each connected component. We assume that is connected, which implies that is a strip.
Let be a tableau in and . Since is a semistandard tableau, we have if and are in the same row, and if and are in the same column except for . The content is either or . We define as a rotation of : for and . By construction, and is invertible. Therefore, is content-preserving and bijective. ∎
We construct a bijection in Lemma 4.5 as follows. Given , we define . From the definition of reading and weak reading words, there exists an integer such that for (resp. for ) corresponds to an unprimed (resp. primed) element in . Let be an integer such that
[TABLE]
We have two cases: or . First, we consider . The element is unprimed in . For a tableau word , We denote by the number of in . By definition of , the word is a Yamanouchi word and the word is not. Therefore, and one can set or . More precisely, we have if and if . We have
[TABLE]
and
[TABLE]
Recall that is a content-preserving bijection and we have a non-standard ordering . Let be a strip formed by including the element if . We denote by the most upper-right element in . Let , and . Note that is also shape-preserving.
Lemma 4.9**.**
We have:
- (1)
If , then the position of in is the same as the one of in . 2. (2)
For , we have the following:
- (a)
if , then the position of in is one step upper than . 2. (b)
if and is not in the most upper-right box in , then the position of in is the same as the one of in . 3. (c)
if and , then the position of in is the leftmost box in which is in the same row as .
Further, we have
[TABLE]
for .
Proof.
For simplicity, we make use of the identification . We denote by the box corresponding to in .
For (1), we denote by the box just above in . Suppose that the content of (resp. ) is (resp. ) and there are ’s right to the box in . Denote by the box steps right to the box and by the content of . Since the order of letters is , we have ’s right to the box or ’s and one right to the box , namely or . In the former case, since and , there exists satisfying . This contradicts the minimality of . Thus, the content of the box is if is . Further, if there is a box with content left to the box , this also contradicts the minimality of . The above observations can be extended to the case where the letter ’s form a horizontal strip and the letters and form a strip in .
The strip has to be above the box .
In general, we consider a configuration of letters and such that ’s and ’s form a strip and ’s form a horizontal strip below . Suppose that the -th row from top contains ’s, the -th row contains ’s and the -th row is not placed at the bottom of . We have if the -th row contains and if the -th row does not contain . After applying on , the number of ’s in the -th row is greater than or equal to the one of ’s in the -th row. The total numbers of ’s in and are the same. This means that if is Yamanouchi, then is also Yamanouchi for all . Note that in the case where the content of is not , the letter in is irrelevant to the bijection . Since the bijection is defined as a rotation of the strip and content-preserving, the position of is the same as the one of . See Figure 4.10 for an example. Therefore, the statement (1) is true.
For (2), we have and denote by the box one step left to the box in . Suppose that the content of is . For primed integers, we read the content of from left to right in a row. Primed integers appear at most once in a row of . Therefore, we have that . This is equivalent to , which is a contradiction of the minimality of . Thus, the content of is not .
If we apply on a strip with , a letter is moved upward by one step. A condition implies that this letter appears in as with some before and after the application of . The statement (2a) directly follows from this observation. If and we apply on the strip , the lowest row of a new strip contains but the top row does not. Combining the observation above with the fact that a letter is moved upward by , the statements (2b) and (2c) holds true. Figure 4.11 is examples of the action of on .
By summarizing the above observations, it is obvious that for . ∎
Let be a tableau and denote by the -th element in the -th row in . We say that the element of , (resp. ), is free when there exists no (resp. ) in the same column of . Similarly, we say that the element (resp. ) is free when there exists no (resp. ) in the same row.
We claim:
- (S1)
Suppose that . The integer in , which is left to and in the same row as , is free.
- (S2)
Suppose that . The alphabet in , which is lower than and in the same column as , is free.
Let be the element in . Suppose that with and is not free. Then, we have . Since the ordering of alphabet in is and is a semistandard tableau, the integer , which is right to and in the same row as , is not free. We denote by the rightmost , which is right to and in the same row. We have and denote by the content of . The above consideration also implies that the elements with . We have
[TABLE]
Together with Eqn.(4.4), we obtain
[TABLE]
which is a contradiction against the minimality of . Thus, the statement (S1) holds true. By transposing the above argument, the statement (S2) follows.
Proof of Lemma 4.5.
In the above notation, we construct a bijection as follows. First, we define where is a transposition in . We perform two operations on . We consider two cases: 1) and 2) .
Case 1
We perform on ’s and ’s except for which are in the same row as . We also perform on ’s and ’s which are in the lower rows than . We call this operation . Successively, we perform on all ’s and ’s in . Then, we obtain .
Case 2
Since , we do not perform any operation with respect to and . We perform on ’s and ’s which are strictly upper than . We call this operation . A tableau is given by .
Let and . We show that the weights of and are related as . From the construction of and Lemma 4.9, we have , and
[TABLE]
Therefore, we have
[TABLE]
which implies . Further, since is not a Yamanouchi word.
We have by construction, which implies that is a bijection.
∎
Proof of Theorem 4.3.
From Eqn.(4.3), we have
[TABLE]
Form Lemma 4.4, the first term of Eqn.(4.5) becomes the total number of whose weak reading word is a Yamanouchi word. The second term of Eqn.(4.5) is zero from Lemma 4.5. Therefore, we complete the proof. ∎
Theorem 4.12**.**
We have
[TABLE]
Proof.
The theorem directly follows from Theorems 4.1 and Theorem 2.2. ∎
Theorem 4.13**.**
Let and be shifted tableaux in of shape and . We denote by and the weak reading words of and , respectively. Then, we have
[TABLE]
Before we move to a proof of Theorem 4.13, we introduce lemmas needed later.
Let and be ordinary partitions and be a shifted partition. From Theorems 4.1 and 2.2, we have
[TABLE]
where is an ordinary partition satisfying and . Let be a tableau of shape such that the reading word inside is an LRS word of content and the reading word for the shape is a Yamanouchi word of content . Note that contents inside can be primed and contents inside do not have primes. We denote by the set of tableaux with properties as above.
We have a unique semistandard tableau whose shape and weight are both . Then, the reading word is a Yamanouchi word, i.e., consists of ’s, ’s,…, and ’s. We denote by the set of tableaux of shape such that the concatenation of the weak reading word of and is a Yamanouchi word of content , i.e., is Yamanouchi of content .
Lemma 4.14**.**
There exists a bijection .
Proof.
We construct a map in the following two steps.
Step 1
We perform a standardization on as follows. Note that the region is formed by contents whose reading word is an LRS word. We enumerate boxes in by (see Step 1 for the construction of a bijection from to in Section 3.2). Successively, we enumerate boxes in by according to the same rule as in the region . We denote by the obtained standard tableau by the above operation. We denote by a unique semistandard tableau of shape , weight and without primes. By reversing the RSK algorithm, we obtain a word .
Step 2
We split the word into two words such that the length (resp. ) is (resp. ). Then, we define a tableau of shape by the mixed insertion .
We claim:
- (S3)
The word is a Yamanouchi word. 2. (S4)
A word satisfies . 3. (S5)
A tableau is of shape and a concatenation is a Yamanouchi word.
Reversing the RSK insertion means that we insert an element into the upper row and bump out the largest element which is less than . From the definition of , the contents of the -th row of are all integer . Therefore, if we bump out the -th , , as an output, we have already bumped out at least ’s for all . This implies that the word is Yamanouchi, that is, the statement (S3) holds true.
Given a partition of length , we consider a sequence of partitions given by . Note that the skew shape is a horizontal strip of length . We enumerate boxes in by in the following way. For , we put integers from to on the region from left to right. We denote by a tableau of shape constructed above. The tableau is standard with respect to the reversed order of letters. A word is obtained from by setting where is the number of row of in . For example, when , is given by
[TABLE]
and . By construction, the word is Yamanouchi and . Further, the recording tableau is a standard tableau numbered from to starting with the first row and from left to right in a row. It is enough to show that . Since the reading word for the shape is Yamanouchi and the contents of the -th row in are ’s, it is obvious that we bump out the word . This implies that the statement (S4) is true.
Let be a pair of a semistandard tableau of content and a standard tableau of shape for the word . Let and be a partition satisfying . Suppose that the shape is a horizontal strip and we enumerate the boxes in by from left to right, where is the number of boxes in the strip. Starting from the box with , we perform the reversed RSK insertion on . Then, it is obvious that we obtain a word which is weakly increasing from left to right. Similarly, suppose that the shape is a vertical strip and we enumerate the boxes in by from top to bottom. By reversing the RSK insertion, we obtain a word which is strictly decreasing. Therefore, if we write where the word is of length , the word , , is a hook word. The word is written as a concatenation of two words, . Recall that a tableau in satisfies the lattice property, i.e., inside is an LRS word. The length of the word (resp. ) is the number of ’s (resp. ’s) in plus (resp. minus) one. The lattice property also implies the following:
- the rightmost in is in the same column of or left to the rightmost ,
- the rightmost in is placed in a lower row than that of the rightmost , and
- the number of in is greater than or equal to that of in . By a similar argument to the case of a vertical strip, 1) and 2) imply that the last element of is strictly decreasing with respect to . Also, 3) implies that the length of is weakly decreasing with respect to . Denote by the length of for . We delete the rightmost ’s for and obtain a new tableau . We apply the same argument as above to . Then, the -th element of is greater than -th element of , i.e., for . Let be the rightmost or the leftmost if there is no in . Since the rightmost and form a vertical strip of length two, is greater than .
We have a stronger constraint on the words and . Let be the position of the letter in a tableau word . Then, the lattice property for an LRS word implies the following: 4) in the word , the number of right to is strictly greater than the one of right to . Let be the number of elements in which is equal to or greater than for . The constraint 4) is rephrased: the number of elements in which is strictly greater than is equal to or greater than plus one. From these observations, we have that the shape of is . To show that the statement (S5) is true, it is enough to show the following statement:
- (S)
The concatenation of two words and for is Yamanouchi where and .
We prove the above statement by induction. When , since the word is a hook word, we have . From (S3), we have is Yamanouchi. Suppose that the statement (S) is true for some . Note that the shape of is a shifted tableau . We insert the word into by the mixed insertion. When we insert into a shifted tableau, we first bump out an smallest element which is strictly greater than . Then, we insert into the next row (resp. column) if is unprimed (resp. primed). Therefore, in the weak reading word of a new tableau, the bumped element (or ) appears left to the element . Suppose that a word is Yamanouchi and . Note that is also Yamanouchi. Then, we have that the concatenation of two words and stays Yamanouchi. This implies that (S) is true.
The inverse of , , , is given by the following two steps.
Step A
Let (resp. ) be a standard tableau of shape (resp. ) by enumerating boxes in (resp. ) by (resp. ) from left to right in a row starting from the top row to bottom. By reversing the insertions, we define and . We obtain by a concatenation of and , that is, .
Step B
Given a word , we obtain a standard tableau of shape by the RSK insertion, . We perform a destandardization on with respect to and . Here, destandardization is a reversed procedure of standardization. The boxes with contents from to form a ordinary shape . If we replace the contents from to by and for , the reading word for the shape is an LRS word. Note that the destandardization is unique since the first occurrence of a letter or is in an LRS word (see Section 2.6). Similarly, we perform destandardization in the region with respect to the content . Then, we obtain a tableau .
By summarizing observations above, the map is a well-defined bijection. ∎
Example 4.15**.**
The product and contains , i.e., . One of them is given by the left picture in Figure 4.16. Here, the integers and form an LRS word of content and the integers and form a Yamanouchi word of content . The right picture in Figure 4.16 is the corresponding standard tableau . Then, reversing the RSK insertion, we obtain a word . The tableau and are given by
[TABLE]
It is easy to check that is Yamanouchi.
By exchanging roles of and , we have another expression of Eqn.(4.6). Let be a shifted tableau of shape and its reading word be an LRS word of content . Let be a tableau of ordinary shape and be a shifted tableau of shape and its weak reading word satisfy that is a Yamanouchi word of content . We construct a bijection between a shifted tableau and a pair of in the following two steps.
Step 1
Note that and . We enumerate boxes in by from left to right in a row starting from the top row to bottom. Then, we perform a standardization on by . By reversing the RSK algorithm, we obtain a word , i.e., .
Step 2
We divide the word into a concatenation of two words such that the length of (resp. ) is (resp. ). Finally, we define a shifted tableau of shape by and a tableau of shape by .
By summarizing the above discussion and a similar argument to Lemma 4.14, we have
Lemma 4.17**.**
The map is a bijection.
Proof of Theorem 4.13.
If we set in Lemma 4.14, we obtain , which is equivalent to . From the definition of , a shifted tableau of shape has the content and its weak reading word is a Yamanouchi word of content . We have
[TABLE]
By applying Lemma 4.14 to , we have
[TABLE]
which implies Theorem 4.13 is true. ∎
Theorem 4.18**.**
We have
[TABLE]
Proof.
Since has a determinant expression Eqn.(4.2), the coefficient is rewritten as
[TABLE]
When , by applying Theorem 2.2, we have
[TABLE]
Thus, is given by
[TABLE]
where
[TABLE]
We define the subset of by
[TABLE]
We want to show that . By replacing and in the proof of Theorem 4.3 by and , we have a proof of Theorem. The difference between Theorem 4.3 and Theorem 4.18 is that we may have a skew tableau which is not detached. We can construct an involution for non-detached shape by the following procedure developed by Stembridge (see Section 6 in [24]). Suppose that a skew shape is a tableau formed by two letters and is not detached. Without loss of generality, a tableau has main diagonals of length two and the -th main diagonal is of length one. The entries on the first main diagonal can be primed or unprimed. We delete the first diagonals and let be a new tableau and be the unique entry on the main diagonal in . After deletion of the diagonals, the entry can be either primed or unprimed. Then, we choose one of the entries in the first main diagonal of and let be this entry. We set primed (resp. unprimed) if is primed (resp. unprimed). We have a two-to-one map . One can perform involutions and on . We have an one-to-two map by reversing the map . Thus, we have a two-to-two involution on . This completes the proof. ∎
Theorem 4.19**.**
Let and be a shifted tableaux. We denote and . We have
[TABLE]
Let and be ordinary partitions. We define as the reading word where is a unique tableau whose shape and weight are .
Lemma 4.20**.**
Let be an expansion coefficient of in terms of , i.e., . Then, we have
[TABLE]
Proof.
We have
[TABLE]
The skew has a determinant expression:
[TABLE]
By a similar argument to a proof of Theorem 4.3, we obtain Eqn.(4.7).
∎
Proof of Theorem 4.19.
We want to expand the product in terms of Schur functions . First, by setting in Lemma 4.20, we obtain . Given , we obtain from Lemma 4.20 that . Thus, the coefficient is given by
[TABLE]
where the sum is taken over all ordinary partitions ’s. Let be a Yamanouchi word of content . If we write as a concatenation of two word , then the word is again a Yamanouchi word of content for some . Therefore, Eqn.(4.8) and Lemma 4.20 imply Theorem 4.19. ∎
Theorem 4.21**.**
Let and be a shifted tableaux. We have
[TABLE]
Let be the set of semistandard shifted tableaux of shape such that alphabets from to form an LRS word of content . Similarly, let be the set of semistandard shifted tableaux of shape without primed letters such that alphabets from to (resp. from to ) form a Yamanouchi word of content (resp. ). Let be the set of pairs of shifted tableaux:
[TABLE]
where .
We will construct a bijection between a pair of tableaux where and and a pair of tableaux where the concatenation of two words is an LRS word. Namely, we define a map , as the following two steps.
Step 1
We perform a standardization on and , and obtain a pair of standard tableaux of shape , . Then, by reversing the RSK insertion, we obtain a word .
Step 2
We split the word into a concatenation of two words where (resp. ) is a word of length (resp. ). By the RSK insertion, we obtain a pair of standard tableaux of shape and , denote by . Finally, we perform a destandardization on the pair , and we obtain the pair of semistandard tableaux of shape and . Here, destandardization means that if the box has a content in and in has a letter or , we put on a box in or which has a content in or .
Lemma 4.22**.**
The map satisfies
- (1)
Two tableaux and are of shape and . 2. (2)
Two tableaux and are well-defined. In other words, and are semistandard shifted tableaux with respect to the marked alphabet . 3. (3)
The word is an LRS word of content .
Proof.
For (1), we will show that is of shape since the case for can be shown in a similar way. Note that the letters from to in a tableau form a horizontal strip. By reversing the RKS insertion for a horizontal strip, the words is written as where is a weakly increasing sequence of length . In , the position of the letter is upper than that of the letter , since the alphabets from to form a Yamanouchi word of content . By reversing the RSK insertion, this condition is rephrased as the following condition: for . We delete the boxes with letters and from . This means that we delete the right most boxes with integer and in . In the obtained tableau, letters and form a Yamanouchi word of content . By applying the same argument, we obtain the condition for . These observations imply that is of shape .
For (2), since a tableau is obtained by the RSK insertion, it is obvious that unprimed letters in the tableau satisfy the semistandard property, i.e., unprimed letters appear at most once in a column of . Boxes corresponding to a primed letter in form a vertical strip, which means that contents corresponding to in appear as a decreasing sequence in the word . This property holds true after the RSK insertion of or . In other words, boxes for a primed letter form a vertical strip in both and . These imply that the tableau is a semistandard shifted tableau and so is .
For (3), note that the destandardization of the word is an LRS word of content . The destandardization of the partial word is also an LRS word. Thus, the tableau word is an LRS word. A tableau is given by a destandardization of . Suppose that is written as where . We show the statement (3) by induction. The word and a destandardization of the concatenation words is an LRS word. We insert into . By induction assumption, the destandardization of is an LRS word. We first bump out smallest which is greater than , and bumped element moves to the next row. Thus, in the word , is left to . Since a letter stays in the first row of and the elements right to are strictly greater than , the lattice property holds after the insertion and destandardization. In general, elements bumped out by the RSK insertion are inserted into the next row in . After destandardization, the lattice property holds true. As a result, the concatenation of three words , and is an LRS word. By induction, we obtain that is an LRS word. Combining these observations with the fact that is an LRS word, we obtain that is an LRS word of content . ∎
The inverse , can be given by the following two steps.
Step A
We perform a standardization on and obtain a pair of standard tableaux of shape and . We enumerate the boxes in tableaux and with the letter by where is the total number of in tableaux and . We start from the top row of the tableau to the bottom row of , moving to the tableau , and continue to enumerate boxes from the top row to the bottom row of . Then, we continue to enumerate the boxes with letter by starting from the leftmost column of a tableau to the rightmost column of , moving to the tableau , and successively enumerate from the leftmost column to the rightmost column in . We similarly enumerate boxes with or as above. Note that the order of scanning boxes in tableaux and for is reversed compared to the case of . We denote by a tableau on which standardization is performed. Let be a standard tableau of shape obtained by enumerating boxes in by from left to right in a row starting from the top row to bottom. By reversing the RSK insertion, we obtain two words and as and . The word is defined as a concatenation of and , i.e., .
Step B
Given the word , we obtain a pair of standard tableaux of shape by the RSK insertion. we define and . Then, we perform a destandardization on and such that is formed by an LRS word of content and is formed by two Yamanouchi words of content and . The pair of tableaux obtained by the above procedure is .
Lemma 4.23**.**
The map satisfies
- (1)
A tableau is well-defined, i.e., is a semistandard shifted tableau of shape of content . 2. (2)
A tableau is well-defined, i.e., is a semistandard tableau of shape which is formed by a tableau of content and and a skew tableau of content .
Proof.
For (1), we observe that the positions of letters from to form a hook word of length in the word . Let be the position (from left end) of for in . Since ’s form a hook word, there exists a unique such that . Recall that a pair satisfies that the concatenation of two words is an LRS word of content . Two words and are given by the reversed RSK insertion, and destandardization of the word is an LRS word of content . Since with form a decreasing sequence in , the letters from to form a vertical strip by the RSK insertion. Similarly, since with form a increasing sequence in , the letters from to form a horizontal strip by the RSK insertion. From these observations, a tableau is a semistandard shifted tableau of content . The shape is nothing but the shape of .
For (2), observe that where the length of (resp. ) is (resp. ). The word is written as where is a strictly increasing sequence of length for . Since the word is given by the reversed RSK insertion, we have . More generally, we have for . From these conditions, the shape of insertion tableau is . The tableau is obtained by destandardization of the recording tableau and its shape is the same as the one of . We insert into . Let be the shape of . The word is also rewritten as a concatenation of increasing sequences. By a similar argument to the case of (1), has the region with content . This completes the proof. ∎
Summarizing the above observations, we have
Lemma 4.24**.**
There exists a bijection .
Example 4.25**.**
The product and contains . Thus, we have pairs which satisfy the lattice property. Suppose . We have two pairs of . One of them is the left picture of Figure 4.26.
We have an LRS word of content in and two Yamanouchi words of contents and in . The right picture of Figure 4.26 is its standardization. By reversing the RSK insertion, we have the word , which is a concatenation of two words . We obtain a pair of standard tableaux . By destandardization, we have
[TABLE]
The tableau word is an LRS word of content .
Proof of Theorem 4.21.
The coefficient can be expressed as
[TABLE]
The number in Eqn.(4.9) is equal to . From Lemma 4.24, we have a bijection between and . Thus, , which implies Theorem is true.
∎
4.3. Littlewood–Richardson–Stembridge coefficients revisited
We will show three different expressions of coefficient .
Let and be strict partitions. We consider a standard shifted tableau of shape . Let be boxes in labeled by an integer in the interval . If a box is in the -th row in , we denote .
The proposition below is a shifted analogue of the Remmel–Whitney algorithm [17]. It directly follows from Lemma 8.4 and Lemma 8.6 in [23].
Proposition 4.27**.**
The number is the number of standard shifted tableaux of of shape satisfying the following:
- (1)
* for .* 2. (2)
the shape of is .
Theorem 4.28**.**
We have
[TABLE]
Remark 4.29**.**
Since , we have
[TABLE]
from Theorem 4.28. From Theorem 4.13, is expressed in terms of Yamanouchi words. Thus, we have a description of in terms of Yamanouchi words rather than LRS words. The coefficient is expressed in terms of weak reading words. Thus, the complexity of an LRS word is replaced with a weak reading word.
For a proof of Theorem 4.28, we introduce the following lemma. Let be an ordinary partition and and be strict partitions. Let (resp. ) be the set of shifted tableaux of shape (resp. ) which have an LRS word of content , and be the set of skew tableaux of shape which have a Yamanouchi word of content .
Lemma 4.30**.**
There exists a bijection .
Proof.
We construct a map , as follows. Since , is an LRS word of , we first perform a standardization of and define a word . By the RSK insertion, we obtain a pair of standard tableaux of shape . A tableau is obtained by destandardization of with respect to the content . We construct a tableau from as follows. Let be a standard tableau enumerated by from left to right in row starting from the top row to bottom. By reversing the RSK insertion, we obtain a word . A standard tableau of shape is given from such that the reading word is . Finally, we perform a destandardization on with respect to the content .
We claim:
- (S6)
A standard tableau is well-defined. In other words, the word is compatible with the skew shape . 2. (S7)
A semistandard tableau is compatible with the skew shape and the word is a Yamanouchi word of content .
We show that is a well-defined standard tableau. Let be a sequence of non-negative integers of length defined by where we set for . In the skew shape , we have boxes in the -th row. Given , the letters in -th row are strictly increasing in . By the RSK insertion of , the letters from to form a horizontal strip in the recording tableau . We obtain by reversing the RSK insertion starting from the pair . The above property of implies that is written as a concatenation of words where is an increasing sequence of length for . This means that is standard in a row.
Suppose that the skew shape has boxes in the main diagonal. We enumerate rows of by from bottom to top. The rows from bottom form a shifted tableau and rows from -th to -th form a ordinary skew shape . Note that both and contain the -th row of . We consider a sequence of ordinary partitions obtained from a shifted partition by where . The skew shape forms a horizontal strip of length . Then, we put letters from to on the boxes of from left to right. We obtain a standard tableau of ordinary shape and denote it by . By the RSK insertion of , the recording tableau contains the tableau . We enumerate boxes in by from left to right in a row starting from the bottom rows to top. When the boxes labelled by letters in forms a row in , the letters form a horizontal strip in . Suppose that the box labelled as is in the same column as the box labelled as with in . When the boxes and are in , the letter is below the letter in . Similarly, when the boxes and are in , the letter is below the letter or next to each other in the same row in . Since for a permutation , we consider the inverse of where . By reversing the RSK insertion, if letters are in the same column in , appear in as a decreasing sequence. By considering the inverse of , the letters in boxes labelled are decreasing from bottom to top. This implies that is column standard. Since is standard in both rows and columns, the statement (S6) is true.
Let be a unique semistandard tableau of shape and content . The statement (S7) is equivalent to show that the word fits to the skew shape and is Yamanouchi word of content . Since is the standardization of , the word is compatible with the shape by a similar argument to the case of (S6). Since the contents of -th row of are all ’s, it is obvious that is a Yamanouchi. These observations imply that (S7) is true.
From the construction, it is obvious that the map has an inverse and well-defined by a similar argument to a proof of (S6) and (S7). Thus, is a bijection.
∎
Example 4.31**.**
Let and .
The product contains . A tableau in is given by the left picture of Figure 4.32 and its standardization is in the right picture. The reading word of is . By the RSK insertion, we have
[TABLE]
By reversing the RSK insertion, we have a word
[TABLE]
A pair of standard tableaux is given by
[TABLE]
which yields a pair of tableaux :
[TABLE]
Proof of Theorem 4.28.
From Theorem 2.2, we have . From Lemma 4.30, we have , which implies Theorem 4.28. ∎
The coefficient can be expressed in terms of semistandard increasing decomposition tableaux and as follows.
Let and be a semistandard increasing decomposition tableaux of shape and . We denote by , . Let be the set
[TABLE]
Theorem 4.33**.**
We have
[TABLE]
We introduce a lemma used in a proof of Theorem 4.33. Recall that is the set of shifted tableaux of skew shape which have an LRS word of content .
Lemma 4.34**.**
There exists a bijection .
Proof.
A map is given by the following three steps.
Step 1
We perform a standardization on a tableau . Then, we obtain a word as the inverse permutation of the reading word of , i.e., .
Step 2
Let be a tableau of shape such that the boxes are enumerated by from left to right in row starting from the bottom row to top. We slide down the columns of such that the lowest box in a column is placed in the same hight as the unique box in the leftmost column of . We denote by the obtained tableau. By turning upside down and moving its rows to fit the shifted tableau , we obtain a standard tableau . For example, for is given by
[TABLE]
From and , we have a pair of shifted tableaux . The tableau may have primed letters but does not. By reversing the mixed insertion, we obtain a word . We define as the inverse permutation of .
Step 3
We put letters in a tableau of shape such that the reading word is equal to . We construct a tableau of shape from by enumerating boxes in by as and boxes in by according to the letters in , i.e., a letter in the region in is a letter in plus . Let be a unique tableau of shape and of content . Then, by reversing the mixed insertion, we obtain a word . The word is written as a concatenation of two words where (resp. ) is of length (resp. ). This gives a map .
We claim the following with respect to the map .
- (S8)
The word is compatible with the shape . 2. (S9)
The words and are compatible with the shapes and .
For (S8), let be a sequence of non-negative integers defined by where for . We enumerate the boxes in by from left to right in a row starting from the bottom row to top. We denote by the box in labelled . The -th row (from top) of the shape has boxes. Since is a standard tableau, the word has the following properties: 1) the letters from to for form an increasing sequence in , and 2) if the boxes and () are in the same column in , the letter is left to the letter in . To show that is compatible with the shape , it is enough to show that satisfies the properties
- and 2) (replace with ). We first show that satisfies the property 2). By definition, two words and have the same mixed insertion tableau. From Theorem 2.5, we have . Suppose that the box is just above the box in . The letter is left to in the word . In the plactic relations, there is no relation which exchanges the letters and . Therefore, the letter is left to the letter even in the word . Suppose that the boxes are just above the boxes in . The letter is left to the letter for in the word . If the letter is left to the letter in , we have to exchange and in by a plactic relation. Since a plactic relation is applied to a word of length four, it is enough to consider a word of length four including and such that and are next to each other in . We have four cases:
- (a)
and contains , 2. (b)
and does not contain , 3. (c)
and contains , 4. (d)
and does not contain .
For case (a), since is right to and left to , . The word is locally equivalent to a word with . None of the plactic relations exchanges and . For case (b), we have two cases: (i) contains and (ii) does not contain . For case (b-i), since the letter is right to and left to , . Locally, is equivalent to with . There is no plactic relation which exchanges and . For case (b-ii), observe that the word neither contains nor . If is formed by four letters and with , the letters and form a partial word , or in . However, there is no plactic relation which exchanges , or . By a similar argument, one can show that there is no plactic relation which exchanges and for cases (c) and (d). Summarizing above observations, the letter is left to the letter in the word . This implies that satisfies the property 2). By a similar argument, one can show that satisfies the property 1). Thus, the statement (S8) is true.
For the statement (S9), observe that if two letters and are in the same row in , and form a horizontal strip in . Similarly, if the letters are in the same column in , these letters form a vertical strip in . Since the reading word of the tableau is , these properties are hold by . The tableau is divided into two regions and . Both regions have the same properties as and (or equivalently ). Finally, since the word is obtained by reversing the mixed insertion with the recording tableau , the word and fit to the shapes and . Thus, the statement (S9) is true.
From the construction, the map has the inverse. By a similar argument discussed above, it is easy to show that the map is well-defined. This completes the proof.
∎
Example 4.35**.**
Let , and . The product of contains . An example of in is given by
[TABLE]
Since the word is , we have . Thus, we have a pair of tableaux
[TABLE]
By reversing the mixed insertion, we obtain words and as and . The tableau and is given from by
[TABLE]
The word is obtained from and :
[TABLE]
Note that is a shifted Yamanouchi word and the word (resp. ) is compatible with the shape (resp. ).
Proof of Theorem 4.33.
From Theorem 2.2, we have . From Lemma 4.34, we have , which implies Theorem is true. ∎
5. -functions and
products of -functions
5.1. -function in
terms of products of -functions
Let be an ordinary partition and be strict partitions such that . We regard a strict partition as a set of positive integers. Let be a decreasing integer sequence. We assign a sign to an element of : .
We define a pair of strict partitions from as follows. As sets of positive integers, and satisfy , , and . We denote by the set of pairs of strict partitions . We define the sets
[TABLE]
Similarly, let be the set of pairs of strict partitions such that , , and .
When or , we define two signs and as
[TABLE]
Theorem 5.1**.**
We have
[TABLE]
for or and
[TABLE]
for . We also have
[TABLE]
for or .
Example 5.2**.**
Let and . Then, we have . The is written in terms of -functions in three ways as
[TABLE]
The first and second expressions are Eqn. (5.2) and they imply Eqn. (5.1). The third expression comes from Eqn. (5.3).
We will prove Theorem 5.1 by induction. Before we move to a proof of Theorem 5.1, we introduce two lemmas needed later.
Lemma 5.3**.**
Suppose that with and with . The function satisfies Eqn.(5.2) if Eqn.(5.1) is true for all ’s satisfying .
Proof.
Let be a strict partition obtained by deleting from . Recall that is the conjugate partition of . A -function satisfies and has a determinant expression (2.3). By expanding a determinant with respect to the first column, we have
[TABLE]
Since has a expression by a Pfaffian (see Eqn. (2.7)), we have
[TABLE]
By Substituting Eqn.(5.5) to a product in Eqn.(5.4) and rearranging the terms, we obtain Eqn.(5.2). ∎
Lemma 5.4**.**
Suppose that with and with . The function satisfies Eqn.(5.1) if Eqn.(5.1) is true for all such that or for with .
Proof.
Let with . Since Eqn. (5.1) is true for all satisfying , by Lemma 5.3, Eqn. (5.2) is true for all with . We have two cases: (a) and (b) .
For (a), suppose that . We denote by a strict partition obtained from by deleting and by . Since and , the function satisfies Eqn. (5.2). We consider the product of and . A product of two -functions is expressed in terms of the Littlewood–Richardson rule (see Eqn. (2.1)),
[TABLE]
where the sum is taken over all ’s such that is a single box and . Note that multiplicity of a -function is one. We have On the other hand, a -function is expressed as a sum of products of -functions. Recall that a product is expressed by the Littlewood–Richardson–Stembridge rule (see Theorem 2.2), namely
[TABLE]
where the sum is taken over all ’s such that is a single box. Thus, a product of and is expressed as
[TABLE]
where the skew shapes and are a single box. In Eqn. (5.6), with satisfies Eqn. (5.1) or Eqn. (5.2) by the assumption. We multiply by both sides of Eqn. (5.2) for and rearrange the terms for . By a direct calculation, one can show that satisfies Eqn. (5.1).
For (b), we have . We denote by a strict partition obtained from by replacing with and define . We consider the product . By a similar argument to case (a), one can show that satisfies Eqn. (5.1). ∎
Given an ordinary partition , we have . Let if and if . If , we regard as a strict partition of length by adding zero to . Similarly, if , we regard and as strict partitions of length by adding zero to and .
We place integers in in a decreasing order from left to right. When an integer is in , we put two ’s next to each other and denote by (resp. ) the left (resp. right) . The index of stands for . We construct a perfect matching of length by connecting two integers via an arc. A perfect matching satisfies the following conditions.
- (1)
We connect two integers and if and only if and . 2. (2)
We do not connect the same integers and for .
Note that two integers and can be connected by an arc. Thus, a perfect matching characterizes a permutation since an arc connects two integers and . We denote by the number of crossings in a perfect matching . We assign a sign for an element of the sequence of integers . Here, the multiplicity of with is two in the sequence . The sign is defined as . We define a sign of a perfect matching as
[TABLE]
Example 5.5**.**
Let and . We have four perfect matchings:
[TABLE]
The numbers of crossings are and from left to right. The first two perfect matchings have sign plus and the last two have minus.
We denote by the -function for simplicity. We define for . By definition, note that for and .
Theorem 5.6**.**
Suppose that satisfies Eqn.(5.1) or Eqn.(5.2). Then, a -function is expressed in terms of -functions as
[TABLE]
where is the symmetric group of order .
Proof.
From equations (5.1) and (5.2), we have an expression of in terms of products of two -functions. Since a -function is written in terms of a Pfaffian, is expressed as a sum of products of -functions ’s where is of length two. A term in is the from and . Note that . We expand in terms of -functions of length two or one according to the length of . By a direct calculation using an expansion formula for a Pfaffian, one can easily show that the coefficient of is zero. Thus, is a sum of products of -functions for some . By an expansion of a Pfaffian, we have the coefficient of is one except for the overall factor. By a direct calculation, one can show that the sign of is given by . ∎
Example 5.7**.**
Let and . Then, .
[TABLE]
Note that the terms in the last line in Eqn. (5.9) correspond to the perfect matchings in Example 5.5.
Proof of Theorem 5.1.
We prove Theorem by induction. For , it is obvious that and Eqn. (5.1) is true.
Let . Suppose that Equations (5.1) and (5.2) are true for all ’s such that or for with . From Lemmas 5.3 and 5.4, the function satisfies either Eqn. (5.1) or Eqn. (5.2).
If we expand -functions in Eqn. (5.3) by using an expansion formula for a Pfaffian, we obtain the same expression as Theorem 5.6. This implies that Eqn. (5.3) is true. ∎
From Theorem 5.1, we have the following corollary.
Corollary 5.8** (Józefiak and Pragacz [7]).**
Let be shift-symmetric, i.e., . Then, is given by the square of :
[TABLE]
5.2. A product of -functions
in terms of -functions
Theorem 5.1 shows that a -function can be expressed as a sum of products of two Schur -functions. By solving the relation reversely, one can show that a product of Schur -function can be expressed in terms of a sum of Schur -function. This expression does not have positivity, i.e., a sign of the coefficient of a -function can be minus. However, the expression is multiplicity free except for the overall factor ,i.e., the coefficient of a -function is either or .
Fix strict partitions and . Let and be sets of positive integers such that and . We define a set by
[TABLE]
We define a sign of by
[TABLE]
where
[TABLE]
We construct an ordinary partition from by defining
[TABLE]
Suppose that and are written by as and . Finally, we define a sign with respect to and by
[TABLE]
Theorem 5.9**.**
We have
[TABLE]
Proof.
Suppose that and is written as and where and . Then, . By substituting Eqn. (5.8) into the right hand side of Eqn. (5.10), we obtain
[TABLE]
Note that in the expression of we have
[TABLE]
We denote
[TABLE]
We will show that Eqn. (5.11) is equal to . We first show that the coefficient of in Eqn. (5.11) is zero.
Suppose that , and . Then, we have , , and . There exists such that , and . We have , and . This implies that . If , we have , and . Here, and is connected by an arc in the perfect matching . Thus we have . If , we have . We also have and . Thus we have . The coefficient of in Eqn. (5.11) is zero since the contributions from and cancel each other.
The observation above implies that Eqn. (5.11) contains only the terms and . We will show that there exits such that and and if or is in . We consider the coefficient of since one can apply the same argument to by the symmetry between and .
Suppose that , and . Then, we have , and . There exists a unique such that , and . Since , we have . Since and are connected by an arc in perfect matchings corresponding to and , we have . If , we have and . Thus we have . Similarly, if , we have and , which implies . The sets and give the same contribution in Eqn. (5.11), which gives the coefficient two as an overall factor.
Suppose that and . Then, and . We first consider the case where and . Then, . We define a sequence of a pair of integers , for some positive integer , such that it satisfies the following five conditions:
- (1)
, 2. (2)
for , 3. (3)
if , 4. (4)
, 5. (5)
and for .
From condition (2), we have for . From (4) and (5), we have . There exists such that , and . This is characterized by a sequence of pairs of positive integers , , where . We have two cases: (a) and (b) for some integer . For (a), observe that and . By a similar argument above, we have . For (b), we have and . If , we have , , and . These imply that . If , we have , , and . Thus we have . In case of and , one can similarly define a sequence and show that there exists such that and . Therefore, the sets and give the overall factor two.
Suppose that . Then, and . We define a sequence of a pair of integers , for some integer , such that it satisfies the following four conditions:
- (1)
, 2. (2)
, 3. (3)
for with , 4. (4)
if .
We define , , by . A sequence , , corresponds to a product and so does . However, we have a freedom to choose or . Thus we have two-to-two bijection the choice of or and the choice of or . Note that these give the same contribution in Eqn. (5.11) but the corresponding perfect matchings are different.
By summarizing the observations above and taking care of the overall factor, Eqn. (5.11) is rewritten as
[TABLE]
where and . We will show that where (resp. ) is a sign for the permutation (resp. ). Since we have a symmetry between and in , we set is the largest integer in without loss of generality. Given and , we define , and for some . This corresponds to considering the perfect matchings such that and are connected by an arc. We define such that and . Since we consider a perfect matching which contains an arc connecting and , we denote by a perfect matching obtained from by deleting this arc. For simplicity, we write . Since has an expression in terms of Pfaffian, to show is equivalent to show .
Suppose that
[TABLE]
We assume that ’s () are in , ’s are in and ’s () are in . We define . We have four cases: (1) , (2) and , (3) and , and (4) . We prove for only case (1), since other cases can be proven in a similar way.
For case (1), we have two cases: (a) and , and (b) and . For case (a), we have
[TABLE]
Therefore, we obtain . For case (b), we have
[TABLE]
and the same Equations from (5.14) to (5.16), (5.18) and (5.19). Thus, we have .
Note that we have in case of (2) and (3) and in case of (4). This completes the proof. ∎
Example 5.10**.**
Let and . We have
[TABLE]
5.3. Giambelli formula
A Schur function has a Giambelli formula with determinant, and -function has a Giambelli formula in terms of a Pfaffian. We show two types of Giambelli formula for -function: one is a determinant and the other is a Pfaffian.
Let be the length of . When , we regard as a strict partition of length by . When , we regard as a strict partition of length by . We define a matrix in terms of Schur -functions as
[TABLE]
Theorem 5.11**.**
Let . Then,
[TABLE]
where for and for .
Proof.
From the definition of , we have
[TABLE]
where if the statement is true and zero otherwise. From Theorem 5.6, it is enough to show that
[TABLE]
First, we show Eqn. (5.20) is true for by induction. It is easy to see that Eqn. (5.20) is true for . Let and . If , then by definition. Therefore, we have two cases: (1) and (2) . For (1), suppose that . Then,
[TABLE]
Thus, we have and the right hand side of Eqn. (5.20) is equal to . By induction assumption, we have . Thus, Eqn. (5.20) is true for general and . For case (2), by a similar argument, we have which is compatible with the right hand side of Eqn. (5.20). We successively apply the argument above to and , which implies that Eqn. (5.20) is true for .
Given , we denote for some where is a transposition in . Suppose that we have arcs connecting with and with in a perfect matching. Applying the transposition on the perfect matching means that we connect with and with . Let and . We have the cases where and are distinct and so do and . We have six local configurations for and :
- ,
- ,
- ,
- ,
- , and
- . For case 1), the reconnection of arcs is locally given by
[TABLE]
It is easy to see that the both sides of Eqn. (5.20) gives by the reconnection. Similarly, we have a factor for the cases 3), 4) and 6) and for the cases 2) and 5). Starting from , by successively applying the procedure above, we obtain that Eqn. (5.20) is true for any . This completes the proof. ∎
Example 5.12**.**
Let . The matrix is given by
[TABLE]
We have .
Let be the length of . When , we regard as a strict partition of length by . When , we regard as a strict partition of length by defining . Let when and when . Let be a weakly decreasing integer sequence with repeated entries such that an integer in (resp. ) appears twice (resp. once) in . We write . For and , we define the sign of as if and if . We denote the sign of by . Let be a sequence of alternating signs, i.e., . We denote by the number of transpositions to obtain from .
For and , we assign for the first and for the second . We define a skew symmetric matrix , , in terms of Schur -functions:
[TABLE]
for .
Theorem 5.13**.**
Let , and as above.
[TABLE]
Proof.
Recall that a Pfaffian is defined by Eqn. (2.5) and a -function has an expression in terms of perfect matchings as Theorem 5.6. We place integers in from left to right. Then, for a permutation , we consider a perfect matching such that and for are connected by an arc. It is obvious that the sign is equal to where is the number of crossings in the perfect matching. We have
[TABLE]
where . It is easy to see
[TABLE]
Finally, by definition. Combining these observations with Theorem 5.6, we obtain Eqn. (5.21). This completes the proof. ∎
Example 5.14**.**
Let . Then, and . The skew symmetric matrix is given by
[TABLE]
Then, .
5.4. Skew -functions
Given two strict partitions and , we define the sets of strict partitions , , and signs , , as in Section 5.1. Let and be ordinary partitions such that , and . We define two sets and as
[TABLE]
We define (resp. ) if (resp. ) and (resp. ) if (resp. ).
Theorem 5.15**.**
A -function can be expressed as a sum of products of Schur -functions:
[TABLE]
and
[TABLE]
Example 5.16**.**
Let and . Then, and , and . Thus, we have
[TABLE]
We denote and for simplicity. Given a strict partition , let be a strict partition obtained from by deleting .
Lemma 5.17**.**
Let be a skew partition. Then, a skew Schur -function satisfies
[TABLE]
and
[TABLE]
Proof.
For Eqn. (5.24), recall that we have a Pfaffian expression of (see Eqn. (2.6)). By expanding the Pfaffian with respect to the column corresponding to , we obtain Eqn. (5.24).
For Eqn. (5.25), we expand by using Eqn. (5.24). If we regard as a set of integers, we have . Then, the coefficient of is zero for any pair of and , which implies Eqn. (5.25).
∎
Proof of Theorem 5.15.
From Theorem 5.1, Theorem 5.15 holds true for . We assume that Eqn. (5.22) is true for all with .
Recall that has a determinant expression and by the conjugate partitions. Then, we have
[TABLE]
Note that if , then . We also have
[TABLE]
We have four cases for the power of in Eqn. (5.22): (1) and , (2) and , (3) and , and (4) and . In all cases, we have , which is the same power as Eqn. (5.23). By substituting Eqn. (5.22) for into the equation above and successively applying Lemma 5.17, we obtain Eqn. (5.23).
If we assume Eqn. (5.23) for with , we obtain Eqn. (5.22) in the same way as above. ∎
Corollary 5.18** (Józefiak and Pragacz [7]).**
Let and be shift-symmetric, i.e., and . Then, is given by the square of :
[TABLE]
Let and with . We define if and , and otherwise. We also define . We regard (resp. ) as a partition of length (resp. ) by adding a zero to (resp. ) if (resp. ). If and , we regard and as a partition of length by adding a zero to and . Note that in the last case we do not add zeros to and .
We place the integers in in a decreasing order from left to right and successively the integers in in a decreasing order from left to right. When an integer is in or , we place two ’s next to each other. We denote by or (resp. or ) the left (resp. right) . We construct a perfect matching of length by connecting two integers via an arc or a dashed arc. A perfect matching satisfies:
- (1)
We connect two integers and via an arc if and only if and . 2. (2)
We connect two integers and via a dashed arc if and only if and , or and . 3. (3)
We do not connect the same integers and for . 4. (4)
We do not connect two integers and if both and are in or .
Let be the set of perfect matchings satisfying conditions above. Let . Then, we denote by the number of crossings in by ignoring whether an arc is dashed or not. Let be the sequence of integers in and with repeated entries. We define a sign by if and by if . Then, we define a sign of a perfect matching as
[TABLE]
Given a perfect matching , we denote by (resp. ) the set of arcs (resp. dashed arcs). When and , , is connected via an arc (resp. a dashed arc), we denote (resp. ). Note that if .
Theorem 5.19**.**
Denote . Then,
[TABLE]
where if and if .
Example 5.20**.**
Let and . We have and . The signs are given by and . Then, we have
[TABLE]
In Figure 5.21, the left (resp. right) picture correspond to the fourth (resp. seventh) term in Eqn. (5.26).
Proof of Theorem 5.19.
From Theorem 5.15, a -function can be expressed as a sum of products of two (skew) -functions. We expand -functions in terms of skew -functions of length one and two. By a direct calculation, it is easy to show that the coefficient of with is zero. Similarly, the coefficient of with and is zero. Thus, we have
[TABLE]
with some and . We first show that . When , we have a single term corresponding to a perfect matching . Thus, from Theorem 5.15, we have . By the same reason, we have if and . However, in case of and , we have two terms coming from the right hand side of Eqn. (5.22), which corresponds to a perfect matching . To see this, suppose that the right hand side of Eqn. (5.22) contains a term with . Since and , we have . Assume that contains . We consider the term containing . Let and as sets. Then, an expansion of the term also contains . By taking the sign into account, we can show that these two terms contains the same sign. This implies that we have a factor in the expansion. Thus, the power of is .
We will show that . Recall that we expand a -function in terms of -functions of length one and two. It is easy to see that the number of crossings in a perfect matching is compatible with the sign arising from the expansion of a -function. Thus, we have is equal to up to the overall factor. By comparing the signs with the number of crossings, we conclude that the overall factor is one. This completes the proof. ∎
Suppose that two ordinary partitions and are written as and . When , we define strict partitions of length by and for and . When , we define strict partitions of length by for and and for and . We also define and from and as follows. If , we define and . If , we define and define by adding a zero to .
We define a matrix in terms of Schur -functions as follows. We define
[TABLE]
for ,
[TABLE]
for and ,
[TABLE]
for and , and for .
Theorem 5.22**.**
In the above notation, a function can be expressed in terms of a determinant:
[TABLE]
Proof.
From Theorem 5.19, we have an expression of -function in terms of perfect matchings. Comparing the definition of the determinant with a term in Theorem 5.19, we have that is proportional to the determinant. We have three cases: (1) , (2) and , and (3) and . In case of (1) and (2), the overall factor is . In case of (3), note that the last elements in and are zero. In Theorem 5.19, we have no double zeros in the sequence . However, to connect the determinant to a perfect matching considered in Theorem 5.19, we introduce a perfect matching with double zeros. We denote such perfect matching by . We show that we have a one-to-two bijection between and . Suppose that is connected to by a dashed arc. Then, in , we connect and by an arc and and by a dashed arc, or connect and by a dashed arc and and by an arc. Note that two ’s above give the same products of -functions and the sign is the same. Thus, the power of two becomes . This completes the proof. ∎
Example 5.23**.**
Let and . Then, and . The matrix is given by
[TABLE]
Therefore, we have .
A given , we define , and as in Section 5.3. For , we define , and similarly. We define a skew-symmetric matrix as follows:
[TABLE]
for . For and , we define
[TABLE]
We define for .
Theorem 5.24**.**
Suppose that the skew shape exits for and . Then, we have
[TABLE]
Proof.
By comparing the Pfaffian with Theorem 5.22, we can show that is proportional to the Pfaffian times . By calculating the overall sign, we obtain Theorem. ∎
Example 5.25**.**
Let and . Then, we have and . The skew-symmetric matrix is given by
[TABLE]
Then, we have .
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