Melting lollipop chromatic quasisymmetric functions and Schur expansion of unicellular LLT polynomials
JiSun Huh, Sun-Young Nam, and Meesue Yoo

TL;DR
This paper explores the relationships between chromatic quasisymmetric functions and unicellular LLT polynomials, introducing melting lollipop graphs and deriving Schur expansions for specific graph classes, advancing understanding of their algebraic properties.
Contribution
It generalizes linear relations of LLT polynomials, introduces melting lollipop graphs, and provides explicit Schur expansion formulas for certain graph-related LLT polynomials.
Findings
Identified a class of e-positive melting lollipop graphs
Proved e-unimodality for melting lollipop graphs
Derived Schur expansion formulas for LLT polynomials of specific graphs
Abstract
In this work, we generalize and utilize the linear relations of LLT polynomials introduced by Lee \cite{Lee}. By using the fact that the chromatic quasisymmetric functions and the unicellular LLT polynomials are related via plethystic substitution and thus they satisfy the same linear relations, we can apply the linear relations to both sets of functions. As a result, in the chromatic quasisymmetric function side, we find a class of -positive graphs, called \emph{melting lollipop graphs}, and explicitly prove the -unimodality. In the unicellular LLT side, we obtain Schur expansion formulas for LLT polynomials corresponding to certain set of graphs, namely, complete graphs, path graphs, lollipop graphs and melting lollipop graphs.
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all
Melting lollipop chromatic quasisymmetric functions
and Schur expansion of unicellular LLT polynomials
JiSun Huh
Department of Mathematics, Ajou University, Suwon 16499 Republic of Korea
,
Sun-Young Nam
Department of Mathematics, Sogang University, Seoul 04107, Republic of Korea
and
Meesue Yoo
Applied Algebra and Optimization Research Center, Sungkyunkwan University, Suwon 16420, Republic of Korea
Abstract.
In this work, we generalize and utilize the linear relations of LLT polynomials introduced by Lee [20]. By using the fact that the chromatic quasisymmetric functions and the unicellular LLT polynomials are related via plethystic substitution and thus they satisfy the same linear relations, we can apply the linear relations to both sets of functions.
As a result, in the chromatic quasisymmetric function side, we find a class of -positive graphs, called melting lollipop graphs, and explicitly prove the -unimodality. In the unicellular LLT side, we obtain Schur expansion formulas for LLT polynomials corresponding to certain set of graphs, namely, complete graphs, path graphs, lollipop graphs and melting lollipop graphs.
Key words and phrases:
chromatic quasisymmetric function, -free poset, lollipop graph, natural unit interval order, LLT polynomials, -positivity, -unimodality
2010 Mathematics Subject Classification:
Primary 05E05; Secondary 05C15, 05C25
The first author was supported by NRF grant #2015R1D1A1A01057476. The second author was supported by NRF grant #2017R1D1A1B03030945. The third author was supported by NRF grants #2016R1A5A1008055 and #2017R1C1B2005653.
Contents
-
2.4 Relation between the LLT polynomials and chromatic quasisymmetric functions
-
4 -expnasion of chromatic quasisymmetric functions related to certain graphs
-
5 Schur expansion of unicellular LLT polynomials related to certain graphs
1. Introduction
Shareshian and Wachs [24] introduced the chromatic quasisymmetric function as a refinement of Stanley’s chromatic symmetric function introduced in [26] by considering an extra parameter . Recall that a proper coloring of a simple graph is any function satisfying that for any such that . For a simple graph with a vertex set of positive integers and a proper coloring , we denote the number of edges of with and by . Given a sequence of commuting indeterminates, the chromatic quasisymmetric function of is defined as
[TABLE]
where the sum is over all proper colorings . The function is called the chromatic symmetric function and denoted by .
Shareshian and Wachs showed that if is the incomparability graph of a natural unit interval order, then the coefficients of in are symmetric functions and form a palindromic sequence. They also made a conjecture (Conjecture 2.1) on the -positivity and the -unimodality of , which specializes to the famous -positivity conjecture on the chromatic symmetric functions of Stanley and Stembridge [26, 28]. In [13], Guay-Paquet proved that if Conjecture 2.1 holds, then Stanley and Stembridge’s conjecture also holds. This result has put a spotlight on the incomparability graphs of natural unit interval orders. As a result, the -positivity (and -unimodality) of several subclasses of the incomparability graphs of natural unit interval orders are proved, see [1, 3, 6, 5, 9, 19, 24].
On the other hand, if we remove the proper condition of the colorings, the sum (1.1) over all colorings gives the unicellular LLT polynomials. The LLT polynomials are defined by Lascoux, Leclerc and Thibon in [21] which can be considered as a -deformation of a product of Schur functions. The LLT polynomials are indexed by a tuple of skew diagrams, but especially when each skew diagram consists of only one cell, then the corresponding LLT polynomial is called unicellular. In [11], Grojnowski and Haiman proved the Schur positivity of LLT polynomials using the Kazhdan–Lusztig theory, but there is no known combinatorial description for the Schur coefficients, except some special cases. In a sense that the combinatorial description for the Schur coefficients of LLT polynomials could give a combinatorial description of the -Kostka polynomials which are the Schur coefficients of the modified Macdonald polynomials, having a combinatorial formula for the Schur expansion of the LLT polynomials is very important. In the case of the unicellular LLT polynomials, due to the correspondence between the unicellular LLT diagrams and the Dyck diagrams (cf. [1], [20]), abundant connections to other branches of mathematics such as Hopf algebra and Hessenberg varieties have been figured out.
The precise relationship between chromatic quasisymmetric functions and the unicellular LLT polynomials is given by Carlsson and Mellit [4] via plethystic substitution. This relationship explains the parallel phenomena between the chromatic quasisymmetric functions and the unicellular LLT polynomials. In particular, the two sets of polynomials satisfy the same linear relations.
Recently, Lee in [20] introduced local linear relations on LLT polynomials and used them to prove the -Schur positivity of the LLT polynomials when . In this work, we generalize and utilize these local linear relations. In chromatic quasisymmetric function side, by using these linear relations, we find a class of -positive graphs, called melting lollipop graphs. In unicellular LLT side, we prove Schur expansion formulas for LLT diagrams corresponding to certain set of graphs.
The contents of the paper is organized as follows. In Section 2 we provide necessary definitions and known results used throughout the paper. In Section 3 we generalize and utilize those local linear relations. By using these linear relations, in section 4 we explain -positivity and -unimodality of the chromatic quasisymmetric functions corresponding to lollipop graphs. And, we find a new class of -positive and -unimodal graphs, called melting lollipop graphs. Thereafter we obtain a combinatorial interpretation for Schur expansion of unicellular LLT polynomials corresponding to melting lollipop graphs in section 5. To do this, we first obtain Schur expansion formulas for unicellular LLT polynomials corresponding to certain set of basic graphs including complete graphs and path graphs. In the final section, as an aside, we introduce a combinatorial way to compute the Schur coefficients of LLT polynomials when the Schur functions are indexed by hook shapes.
2. Preliminary
In this section we collect definitions and notions which are required to develop our arguments. More details can be found in [1, 17, 24].
2.1. Semistadard Young tableaux and Schur functions
A partition of is a nonincreasing sequence of positive integers such that and we use the notation to denote that is a partition of . Each is called a part of , and we define the length of to be the number of parts in .
When two partitions and satisfy for all , we write , and define skew shape to be the set theoretic difference . The diagram of is defined to be the set . Throughout this paper, we frequently identify skew shape with its diagram, and the elements in the diagram of are visualized as boxes in a plane.
Let be a skew shape . The content of a cell in is the integer . A (semistandard) Young tableau of shape is a filling of with letters from such that the entries are weakly increasing on each row and strictly increasing on each column. For a Young tableau , we define the weight of to be the sequence , where denotes the number of occurrences of in . Especially, is called standard if its weight is . We denote the set of Young tableaux of shape by and the set of standard Young tableaux of shape by . Given , define its corresponding monomial Then the Schur functions are defined as follows:
[TABLE]
For partitions and , the Littlewood-Richardson (LR) coefficients are the structure constants appearing in the Schur expansion of the product of two Schur functions and , that is,
[TABLE]
It is a well-established fact that the LR coefficients are nonnegative integers and their nonnegativity can be interpreted in a combinatorial way by virtue of Schüzenberge’s jeu de taquin sliding process. Note that this sliding process is a combinatorial algorithm taking a Young tableau to another Young tableau with the same weight, but different shape, that can be carried out by applying the slide described in Figure 2 in succession.
Given a Young tableau of skew shape, one can apply jeu de taquin slides to iteratively to get a Young tableau of partition shape, which is called the rectification of and denoted by . Let be the standard Young tableau of shape , called the row tableau of shape , whose th row consists of the entries from left to right for every . Here is set to be 0. Then the LR coefficient equals the number of standard Young tableaux of shape a satisfying that .
2.2. Natural unit interval orders
For a positive integer , we set and . Let be a poset. The incomparability graph of is a graph which has as vertices the elements of , with edges connecting pairs of incomparable elements. For a list of nondecreasing positive integers satisfying that for each , the corresponding natural unit interval order is the poset on with the order relation given by if and . For example, Figure 3 shows the graph for the natural unit interval order .
It is well-known that the set of elementary symmetric functions is a basis of the subspace of symmetric functions of degree . One says a symmetric function is -positive if the expansion of in the basis has nonnegative coefficients when is a basis of . One of main motivation for our study is to understand the following conjecture.
Conjecture 2.1** (Shareshian-Wachs [24]).**
For the incomparability graph of a natural unit interval order, if then is -positive for all , and is -positive whenever .
We denote the complete graph with vertices by and the path with vertices with natural labelling by . For each of and , it is proved that the above conjecture is true.
Proposition 2.2**.**
[24, Table 1]** Let and be nonnegative integers.
- (a)
The chromatic quasisymmetric function of a complete graph is
[TABLE] 2. (b)
The chromatic quasisymmetric function of a path is
[TABLE]
2.3. LLT polynomials
LLT polynomials are a family of symmetric functions introduced by Lascoux, Leclerc and Thibon in [21] which naturally arise in the description of the power-sum plethysm operators on symmetric functions. The original definition of LLT polynomials uses cospin statistic of ribbon tableaux, but Haiman and Bylund found a consistent statistic, called inv, defined over -tuples of semistandard Young tableaux of various skew shapes. Here, we use the inversion statistic of Haiman and Bylund to define the LLT polynomials used in this paper. For the proof of the consistency of two definitions, see [18].
We consider a -tuple of skew diagrams and let
[TABLE]
Given , we set
[TABLE]
We define the content reading order by giving the ordering on the cells in , so that the left-bottom most cell has the smallest order and the order increases upward along diagonals, moving from the left to the right. Given , we obtain the content reading word by reading the entries according to the content reading order. We say a pair of entries form an inversion if either
- (i)
and , or
- (ii)
and .
Let be the number of inversions in .
Definition 2.3**.**
The LLT polynomial indexed by is
[TABLE]
2.4. Relation between the LLT polynomials and chromatic quasisymmetric functions
From now on, we only consider unicellular LLT polynomials, i.e., each consists of only one cell. In [1] and independently in [20], bijective correspondence between unicellular LLT diagrams and skew shapes contained in a staircase shape partition has been introduced. We explain it with an example.
Example 2.4**.**
In Figure 5, the labelling in the left side figure denotes the content reading order of the given LLT diagram and we identify those numbers with the numbers in the main diagonal in the figure on the right hand side.
Starting from the top row (or the largest possible number in the reading order), we cross out the cells in the same row corresponding to the numbers which cannot make an inversion pair with the given number of the row. We obtain a (top-left justified) skew shape contained in a staircase shape in the end.
We call the skew shape coming from an LLT diagram the Dyck diagram and denote it by , since the outer boundary defines a Dyck path. Reading the number of cells in the th row from the top defines an area sequence which has the last entry [math]. For instance, the area sequence of the Dyck diagram in Figure 5 is . We denote the area sequence of the Dyck diagram corresponding to the LLT diagram by .
Given a Dyck diagram corresponding to an LLT diagram , we can associate a graph which has as the vertex set and the edge set as follows : label the vertices according to the reverse of the content reading order and for , if the cell in the column labeled and row labeled is contained in the Dyck diagram. In other words, replace the diagonal entries in the Dyck diagram by , and according to this labelling, if the cell in the row and column is in the Dyck diagram. We denote this graph by . We also use the notation for the LLT diagram corresponding to a graph . If there is no confusion, we use the notation for .
Example 2.5**.**
We keep considering the LLT diagram given in Figure 5. To obtain the graph corresponding to the LLT diagram , we relabel the main diagonal in reverse order (as in the left hand side of Figure 6), and then draw edges for if the cell in the row and column is contained in the Dyck diagram . Note that the th cell in in terms of the reading order corresponds to the vertex in .
We remark that given a coloring of , the statistic is consistent with the inversion statistic obtained from the Dyck diagram , where is a word of length , written in the main diagonal of from the south-west cell to the north-east cell (as we did in Example 2.4). In fact, every unicellular LLT polynomial can be written as
[TABLE]
for some which is the incomparability graph of a natural unit interval order. By comparing to the definition of the chromatic quasisymmetric function , we can observe that the only difference is the proper condition on the coloring . The precise relationship via plethysm is given in [4, Proposition 3.4].
Proposition 2.6**.**
[4, Proposition 3.4]** Let be the incomparability graph of a natural unit interval order with elements. Then we have
[TABLE]
Note that the square bracket on the right hand side of the above equation implies the plethystic substitution and it is a convention that in the plethystic substitution. For the detailed explanation of it, we refer the reader to [15, 16].
Due to this relation between LLT polynomials and the chromatic quasisymmetric functions, we have the following equivalency of linear relations.
Proposition 2.7**.**
[1, Proposition 55]** Let be the incomparability graphs of natural unit interval orders. Then
[TABLE]
for some .
3. The -deletion property
Recently, Lee [20] provided a local linear relation between some unicellular LLT polynomials.
Theorem 3.1**.**
[20, Theorem 3.4]**(Local linear relation) For an area sequence and such that (we set ), let be area sequences defined by if and for . If , then
[TABLE]
where is a unicellular LLT diagram satisfying that for .
Equivalently, if we let be the graph for , then
[TABLE]
Example 3.2**.**
Let be an area sequence and let . Since , and are well-defined. We note that and so that . Therefore,
[TABLE]
where , , are defined as Figure 7.
Remark that the condition prevents any cells existing on the left consecutive diagonal of the diagonal containing and in Figure 7, in between and . If the condition is not satisfied, then the linear relation does not hold.
For example, the LLT diagram in Figure 8 has the area sequence which satisfies the condition for . However, due to the existence of the cell containing , the condition is not satisfied for ; and . Thus, the linear relation does not hold among the LLT polynomials corresponding to the LLT diagrams , and , where is given in Figure 8 and and are obtained by moving the cell upward along the diagonal so that cell, and both of and cells are on the left-below of the cell , respectively.
We note that for the incomparability graphs of natural unit interval orders with some restrictions, Theorem 3.1 is a refinement of Triple-deletion property:
Proposition 3.3**.**
[22, Theorem 3.1]**(Triple-deletion property) Let be a graph with edge set such that form a triangle. Then
[TABLE]
We can further generalize the linear relations by applying Theorem 3.1 iteratively.
Theorem 3.4**.**
For an area sequence , , and with , let be area sequences defined by if and for . If
[TABLE]
then, for ,
- (a)
, 2. (b)
**
where is a unicellular LLT diagram satisfying that for .
Equivalently, for , if we simply denote by , then for ,
- (a*′*)
, 2. (b*′*)
**
Proof.
We note that for each , the area sequence satisfies the condition of Theorem 3.1. Therefore, we have
[TABLE]
We prove the theorem by mathematical induction.
- (a*′*)
The case when is equivalent to Theorem 3.1. So we may assume that this statement holds for ;
[TABLE]
From Theorem 3.1, it follows that
[TABLE]
Then we obtain
[TABLE]
which complete the induction step and the proof. 2. (b*′*)
The equation is equivalent to the following equation.
[TABLE]
If , then it is true by (a*′*). Now we assume that
[TABLE]
for , then by (a*′*) we have
[TABLE]
or equivalently,
[TABLE]
Since ,
[TABLE]
From this, we have
[TABLE]
as we desired.
∎
4. -expnasion of chromatic quasisymmetric functions related to certain graphs
For two graphs and with vertex set and , respectively, let to be the graph with and .
A graph is called a lollipop graph on , where is a path on and is a complete graph with vertices . We note that the lollipop graph on is the incomparability graph of the natural unit interval order such that for and for . Figure 3 shows the lollipop graph .
Recently, Dahlberg and van Willigenburg [5] gave an explicit -positive formula for the chromatic symmetric function of a lollipop graph by iterating Triple-deletion property.
Proposition 4.1**.**
[5, Proposition 10]** For and ,
[TABLE]
In this section we give explicit -positive and -unimodal formulae for chromatic quasisymmetric functions of some graphs, generalizations of lollipop graphs, by using Theorem 3.4.
4.1. Lollipop graphs
In this subsection we consider lollipop graphs.
Definition 4.2**.**
For , a lollipop quasisymmetric function is given by , that is, a chromatic quasisymmetric function of . We simply denote by .
By the definition, and , both of which are -positive and -unimodal, see Proposition 2.2.
From Theorem 3.4 (a*′*), we have the following linear relation.
Proposition 4.3**.**
For integers and ,
[TABLE]
Proof.
We first note that the LLT diagram corresponding to the lollipop graph has the area sequence such that for and for . If we take and , then the area sequence satisfies that the condition of Theorem 3.4;
- •
,
- •
for .
Thus, by Theorem 3.4 (a*′*), we have
[TABLE]
where is the lollipop graph and is the graph . ∎
From (4.1), we have a formula of a lollipop quasisymmetric function.
Proposition 4.4**.**
For and , a lollipop quasisymmetric function is
[TABLE]
Consequently is -positive and -unimodal with center of symmetry .
Proof.
If we use Equation (4.1) repeatedly, then we have a refinement of Proposition 4.1;
[TABLE]
If we let , then . Since ,
[TABLE]
By Proposition 2.2 (b), is -positive and -unimodal with center of symmetry . Since both of and are -positive and -unimodal with center of symmetry , is -positive and -unimodal with center of symmetry . ∎
In [3], the first author and Cho obtained an -positive and -unimodal formula of the chromatic quasisymmetric function of .
Lemma 4.5**.**
[3, Corollary 4.4]** For , let be the graph . Then
[TABLE]
By combining Theorem 3.4 and Lemma 4.5, we obtain a formula of the chromatic quasisymmetric function of a graph .
Theorem 4.6**.**
For , , and , let be the graph . If we let , then
[TABLE]
Hence, is -positive and -unimodal with center of symmetry .
Proof.
By Lemma 4.5,
[TABLE]
For convenience, we denote .
From Theorem 3.4 (a*′*), we have the following relation for ,
[TABLE]
If , then (4.2) is equal to
[TABLE]
If , then (4.2) is equal to
[TABLE]
If we do this continually, then we have
[TABLE]
for . In particular, when we get
[TABLE]
as we desired. ∎
4.2. Melting lollipop graphs
Definition 4.7**.**
For integers , and , a melting lollipop graph on is obtained from the lollipop graph by deleting edges,
[TABLE]
We call the melting lollipop quasisymmetric function.
A melting lollipop graph is the incomparability graph of a natural unit interval order with for , , and for . Figure 9 shows the melting lollipop graph , for example.
By the definition, one can easily see that , , and is the disjoint union of and . Therefore, from Theorem 3.4 (b*′*), we have the following relation,
[TABLE]
which is equivalent to the following proposition.
Proposition 4.8**.**
[TABLE]
From (4.4) and Proposition 4.4, we have formulae of melting lollipop quasisymmetric functions.
Theorem 4.9**.**
For integers , , and , a melting lollipop quasisymmetric function is
[TABLE]
*.
Consequently is -positive and -unimodal with center of symmetry .*
5. Schur expansion of unicellular LLT polynomials related to certain graphs
Due to the equivalency given in Proposition 2.7 between LLT polynomials and chromatic quasisymmetric functions, the relations satisfied by given in Section 4 can be restated in terms of LLT polynomials. In this section, we utilize those relations to prove Schur expansion formulas of LLT polynomials corresponding to certain graphs. We first define a statistic which will be used in the description of Schur coefficients of LLT polynomials.
Given a partition , we define the reading order as the total ordering of the cells in by reading them row by row, from top to bottom, and from left to right within each row. Then for a standard Young tableau , the descent set is defined by
[TABLE]
Definition 5.1**.**
Given a unicellular LLT diagram , an -tuple of single cells, say the corresponding Dyck diagram has the area sequence . Then for any partition and a standard Young tableau , define
[TABLE]
Our purpose is to give a combinatorial interpretation of Schur coefficients appearing in the Schur expansion of unicellular LLT polynomials in terms of polynomials weighted by the statistic in Definition 5.1. More precisely, we will introduce certain classes of unicellular LLT diagrams satisfying that
[TABLE]
To begin with, we introduce the following lemma which will play a key role in proving the Schur coefficients of LLT polynomials in the rest of this section.
Lemma 5.2**.**
Let and be graphs of order and associated to the LLT diagram and , respectively. Let be the graph of order and let be the LLT diagram corresponding to . If
[TABLE]
then
[TABLE]
To prove the above lemma, we briefly introduce the switching algorithms on standard Young tableaux introduced by Benkart, Sottile, and Stroomer [2], which is built upon Schüzenberge’s jeu de taquin sliding process. For partitions , let and be standard Young tableaux of shape and , respectively. The tableau switching on is a combianatorial algorithm to apply jeu de taquin slides to iteratively following the order in which we choose empty boxes given by from the largest entry to the smallest entry. For example, if
[TABLE]
then the followings illustrate how the tableau switching algorithm acts on step by step:
[TABLE]
As we can see in the above example, the tableau switching on results another pair of standard Young tableaux and we denote it by to respect notation in [2]. In the above case,
[TABLE]
Lemma 5.3**.**
[2]** Let and be standard Young tableaux of shape and , respectively. Assume that the tableau switching on transforms into and into . Then
- (a)
* and are Knuth equivalent, that is, they have the same rectification.* 2. (b)
* and are Knuth equivalent, that is, they have the same rectification.* 3. (c)
The tableau switching and transforms into and into .
Proof of Lemma 5.2. For simplicity, we write
[TABLE]
Then we have
[TABLE]
Let be the set of all standard Young tableaux of shape whose rectification is the row tableau . To prove our assertion, it is enough to show that for each there is a correspondence
[TABLE]
satisfying that
- (1)
is bijective, and 2. (2)
is weight-preserving, that is, if , then .
Indeed, we construct such a bijection by means of the tableau switching as follows: note that the tableau switching on results a pair of standard Young tableaux such that is of shape . Let be a filling obtained from by replacing the entry with for each . Obviously, is a standard Young tableau of shape with entries from . Now we define by , which is well defined because is uniquely determined due to Lemma 5.3(c).
On the other hand, when let us denote be a subtableau of consisting of . And let be a filling obtained from by replacing the entry with . Then and is a standard Young tableau of shape and for some , respectively. Applying the tableau switching on , we get a pair of standard Young tableaux, where is the rectification of . Moreover, we know that is Knuth equivalent to due to Lemma 5.3(a). Thus for some and . In all, we can conclude that for each with , the tableau switching produces the triple such that , and for some and . Furthermore, it follows from the ivolutiveness of the tableau switching that , which shows that is bijective.
In order to prove that is weight-preserving, we recall the well known fact that the descent set of a given Young tableau is invariant under applying forward or reverse jeu de taquin slides. Hence, if , then (resp., ) if and only if for (resp., ). If we let the area sequences of and be and , respectively, then the corresponding area sequence is of the form
[TABLE]
Therefore, and are the same. It should be noted that might be a descent of . But it dose not matter to our assertion since is always [math]. ∎
Remark 5.4**.**
The properties of the tableau switching described in Lemma 5.3 played a key role in proving Lemma 5.2. These properties are well extended to the case of -fold multitableaux in [2], and hence one can prove the following: let be graph of order associated to the LLT diagram for and graph of order . If for every , then
[TABLE]
where is the LLT diagram corresponding to . This can be proved in a similar way as in the proof of Lemma 5.2 so we omit the detailed proof.
5.1. Complete graphs
We remark that the same LLT polynomial can be realized by different LLT diagrams, as far as the inversion relations are kept invariant. Keeping this in mind, the simplest LLT diagram corresponding to the complete graph is when all the cells are on the same diagonal which we denote by . The LLT polynomial of is known to be modified Hall-Littlewood polynomials indexed by one column shape . Let us give a simple derivation here.
Consider the modified Macdonald polynomials which have the following expansion in terms of Schur functions
[TABLE]
where are known as modified -Kostka polynomials. The LLT expansion of is given in [17], and especially when the LLT diagram is , by considering the combinatorial description for the monomial expansion of given in [17], it is not very hard to see that
[TABLE]
For the details, we refer the readers to [17, Section 3]. In the case when , the -parameter does not occur and thus we can set . Also, noting that , we obtain
[TABLE]
where
[TABLE]
Hence, we have
[TABLE]
For the detailed description of the cocharge statistic, see [16]. By considering the way how the cocharge statistic is defined and the fact that the Dyck diagram has the area sequence , i.e., , for , we can check that the statistic in Definition 5.1 gives another combinatorial description for the Schur coefficients in this case, namely,
[TABLE]
5.2. Path graphs
In this subsection, we consider the LLT polynomial corresponding to the path graph of order . Definition 5.1 also gives a combinatorial description for the Schur coefficients appearing in the Schur expansion of .
Proposition 5.5**.**
Let be the path graph of order . Then
[TABLE]
Proof.
For a word , an index is said to be a descent of if . If is a unicellular LLT diagram of cells and , then can be regarded as a word of length , say , and is equal to the number of pairs satisfying the following conditions:
- (i)
the cell whose the column labeled by and the row by is contained in , and 2. (ii)
but .
In the case where , to count it is enough to consider pairs of the form for . That is, for
[TABLE]
which counts the number of descents of .
For each word , we define to be the set of all descents of and its standardization, that is, is the permutation in obtained by sorting pairs in lexicographic order. Then it is well known that three kinds of descent sets , , are the same, where denote the recording tableau corresponding to in the procedure of Robinson-Schensted-Knuth insertion algorithm.
In all, we have
[TABLE]
Our proposition follows from the fact that the area sequence is and thus . ∎
5.3. Graphs related by linear relations
Consider the LLT diagram corresponding to the complete graph (for the sake of using the linear relation, we use the left-most figure in Figure 10) and move the cell on the right most diagonal upward so that cells on the left diagonal are left-below of the moved cell (see the middle figure in Figure 10). If we consider the corresponding graphs, moving the cell on the second diagonal removes edges connected to the moved vertex and the vertices going below of it. We denote such a graph by . Then from Theorem 3.4, we obtain the following linear relations.
Proposition 5.6**.**
[TABLE]
More generally, for and , we have
[TABLE]
By using the linear relations in Proposition 5.6, we can prove combinatorial formulas corresponding to LLT diagrams .
Proposition 5.7**.**
We have
[TABLE]
where
[TABLE]
with the area sequence and for .
Proof.
We use the linear relation (5.3) when :
[TABLE]
Considering this linear relation, given , for each , we need to prove that
[TABLE]
First of all, observe that values of the Dyck diagrams corresponding to , and are the same, for (or ) as . We divide the cases when or not. If , then
[TABLE]
If , then
[TABLE]
∎
5.4. Lollipop graphs
In this section, we consider the Schur expansion of LLT polynomials corresponding to lollipop graphs defined in Section 4.
Proposition 5.8**.**
We have
[TABLE]
where with
[TABLE]
Proof.
Let us rewrite the linear relation given in Proposition 4.4 in terms of LLT polynomials ;
[TABLE]
We utilize the above linear relation to prove the Schur coefficients formula. Note that (5.4) can be used to compute the LLT polynomial corresponding to the lollipop graph , given the LLT polynomial corresponding to the graph which has a larger complete graph part and shorter path graph part. So, as an initial case, we prove a combinatorial formula for . In this case, the linear relation becomes
[TABLE]
By Lemma 5.2, we know that
[TABLE]
where with , and for . We already have seen this type of Schur expansion for in (5.1) with , for , . Observing that values are consistent for , we consider two cases when and , and prove, for , ,
[TABLE]
If , then
[TABLE]
If , then
[TABLE]
Now, for , we compute the coefficient of of the right hand side of (5.4) (denote it by ) and check that it is consistent with . By Lemma 5.2, we know that
[TABLE]
where with
[TABLE]
So
[TABLE]
∎
5.5. Melting lollipop graphs
The Schur coefficients of LLT polynomials corresponding to the melting lollipop graphs (see Section 4.2 for the definition of melting lollipop graphs) can be described in a similar fashion.
Proposition 5.9**.**
We have
[TABLE]
where with
[TABLE]
Proof.
To prove this Schur expansion formula, we rewrite the linear relation (4.3) in terms of LLT polynomials
[TABLE]
We already obtained the Schur expansion of in Proposition 5.8 and by Lemma 5.2, we have
[TABLE]
where with
[TABLE]
For , we compute the coefficient of of the right hand side of (5.6) and check that it is consistent with . The way how the proof goes is similar to the proof of Proposition 5.8, by dividing the cases when and when . We omit the details. ∎
6. Appendix
In this section, we introduce a combinatorial way to compute the Schur coefficients of LLT polynomials when the Schur functions are indexed by hook shapes. We apply the result of Egge-Loehr-Warrington [8] to the quasisymmetric expansion of LLT polynomials. Especially when the LLT polynomials are unicellular, then the weight statistic in Definition 5.1 can be also used in the description of the Schur coefficients indexed by hook shapes.
We note a quasisymmetric expansion of LLT polynomials given in [17]. A semistandard tableau is standard if it is a bijection , where . We denote the set of standard tableaux of shape by .
Define the descent set of by
[TABLE]
Then,
[TABLE]
where is the composition corresponding to the set and is the fundamental quasisymmetric function indexed by the composition .
6.1. Schur coefficients indexed by hook shapes
Recall the result of Egge-Loehr-Warrington [8] on obtaining the Schur expansion given the quasisymmetric expansion in terms of the fundamental quasisymmetric functions.
A skew diagram is a rim-hook of if does not contain any subdiagram and any two consecutive cells of share an edge. A rim-hook is special if it starts from the cell in the first column. The number of rows of a rim hook is referred to as its height, denoted by . The sign of a rim hook is defined to be . A special rim-hook tableau of shape and content is a partition of the diagram of using special rim-hooks such that the length of the th rim-hook from the bottom is . The sign of is the product of the signs of the rim hooks of .
The result of Egge-Loehr-Warrington [8] gives a combinatorial description of Schur coefficients, given a fundamental quasisymmetric expansion of any symmetric functions.
Theorem 6.1**.**
[8, Theorem 11]** Suppose is a field, and we have a symmetric function
[TABLE]
Then we have
[TABLE]
for all , where
[TABLE]
and is a right inverse of the Kostka matrix with entries , the sum of the signs of the special rim-hook tableaux of shape and content .
If each rim-hook contains exactly one cell in the first column of the diagram of , then we say that the rim-hook tableau of shape and content (or equivalently, ) is flat. Then we can simplify the description of even more.
Theorem 6.2**.**
[8, Theorem 15]** Let , . If is flat, then . Otherwise, . In particular, when is a hook.
Given the quasisymmetric expansion (6.1), we apply Theorem 6.1 and 6.2 to obtain the Schur coefficients of LLT polynomials when the Schur functions are indexed by hook shapes.
Proposition 6.3**.**
Let be a partition of a hook shape.
[TABLE]
The Dyck diagram explained in Section 2.4 can be used to compute in Proposition 6.3. Since is an -tuple of single cells, can be considered as a word of length , and to satisfy the condition , the reading words should be in the set of shuffle product of and followed by in the end. We denote by the set of all words obtained from such shuffle product. To compute the inversion statistic, place the reading word in on the main diagonal starting from the bottom-left corner of the Dyck diagram and count the number of inversion pairs in this setting.
Example 6.4**.**
We keep considering the LLT diagram in Example 2.4. To obtain, for instance, the coefficient of , we have to consider the set of reading words , i.e.,
[TABLE]
We place those reading words on the diagonal of the Dyck diagram and compute the inversion statistic.
[TABLE]
Hence, we obtain
[TABLE]
To describe the Schur coefficients in Proposition 6.3 in terms of the weight statistic used in Section 5, we first recall the descent set of words and Young tableaux, respectively. For a word , we say that an index is a descent of if and denote by the set of all descents of . For a standard Young tableau , we say that is a descent of if appears in a lower row of than and denote by the set of all descents of . Notice that if , then , for any cannot precede and for any cannot precede in . Hence, whenever and , should be in and for all . This implies that if is a reading word of such that , then counts the number of cells whose column is labeled by and row by in for all and all . Letting be the LLT diagram whose corresponding Dyck diagram is the conjugate of as a skew shape, we can see that
[TABLE]
where is the sum of in for all .
On the other hand, from the definition of the shuffle product one can see that every word in can be obtained from the word by applying the following relation in succession: replace by or vice versa if . This suggests that any two words in are Knuth equivalent and thus they result the same insertion tableau in the procedure of Robinson-Shensted-Knuth (RSK) insertion algorithm. Moreover, since when and are equicardinal, RSK algorithm guarantees that is the set of all recording tableaux for . Finally, by combining (6.2) with well known facts that and if and only if , we can conclude the following proposition.
Proposition 6.5**.**
Let be a partition of a hook shape and a unicellular LLT diagram. If is the area sequence of , then
[TABLE]
where .
Example 6.6**.**
We keep considering the LLT diagram and the hook partition in Example 6.4. Then we have the area sequence and the following four standard Young tableaux of shape
1$$2$$\bigcirc$$3$$\bigcirc$$4$$\bigcirc$$5
1$$\bigcirc$$3$$\bigcirc$$2$$4$$\bigcirc$$5
1$$\bigcirc$$4$$\bigcirc$$2$$\bigcirc$$3$$5
1$$\bigcirc$$5$$2$$\bigcirc$$3$$\bigcirc$$4
with its -weight 6,6,7 and 8, respectively. Once again, we obtain
[TABLE]
Acknowledgements
The authors would like to thank Soojin Cho for her kind support and encouragement.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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