Highest weight vectors in plethysms
Kazufumi Kimoto, Soo Teck Lee

TL;DR
This paper provides explicit descriptions of highest weight vectors in certain plethysm modules of polynomial functions on matrices, focusing on the case k=3 for both symmetric and exterior powers.
Contribution
It explicitly characterizes all highest weight vectors in the modules S^3(S^m(C^n)) and Λ^3(S^m(C^n)), advancing understanding of their structure.
Findings
Explicit descriptions of highest weight vectors for k=3
Realization of modules as polynomial functions on matrices
Enhanced understanding of plethysm module structures
Abstract
We realize the -modules and as spaces of polynomial functions on matrices. In the case , we describe explicitly all the -highest weight vectors which occur in and in respectively.
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Highest weight vectors in plethysms
Kazufumi Kimoto
Department of Mathematical Sciences, University of the Ryukyus, 1 Senbaru, Nishihara, Okinawa 903-0213, JAPAN
and
Soo Teck Lee
Department of Mathematics, National University of Singapore, Block S17, 10 Lower Kent Ridge Road, Singapore 119076, Republic of Singapore
Abstract.
We realize the -modules and as spaces of polynomial functions on matrices. In the case , we describe explicitly all the -highest weight vectors which occur in and in respectively.
Key words and phrases:
General linear group, symmetric group, highest weight vectors, plethysms
2010 Mathematics Subject Classification:
05E10, 20G05
The first named author is partially supported by Grant-in-Aid for Scientific Research (C) No.25400044, JSPS and by JST CREST Grant Number JPMJCR14D6, Japan. The second named author is supported by NUS grant R-146-000-252-114.
1. Introduction
Let and be finite dimensional complex vector spaces, and let and be polynomial representations of and respectively. Then the composition is also a polynomial representation of . If and are the characters of and respectively, then the character of is called the plethysm of and and is denoted by (or ). One of the main open problems in combinatorics is to express the plethysm of two Schur polynomials, which are characters of irreducible polynomial representations of the general linear groups with highest weights and respectively, as a linear combination of Schur polynomials.
Let us look at the case of the complete symmetric polynomials, i.e. the plethysms of the form . The problem in this case is equivalent to determining the irreducible decomposition of the -module . Several explicit results are known, for instance,
[TABLE]
for an arbitrary positive integer , where runs through all the even partitions of . The formula is actually equivalent to the identity
[TABLE]
due to Littlewood [Li]. There are also results on , and for an arbitrary positive integer : the first and second case are due to Thrall [T] (see also [P]), and the third case is due to Foulkes [Fo]. On the other hand, using representation theory and in particular -duality, Howe [H1] describes the multiplicities in for . An example of recent developments of plethysms is [dBPW], which studies certain stability conditions on the coefficients in the expansion with respect to Schur polynomials by using combinatorics on tableaux whose entries are also tableaux.
In this paper, we study plethysms using representation theory and an approach inspired by [H1]. We realize the -modules and as spaces of polynomial functions. In the case when , we obtain all the -highest weight vectors which occur in and in respectively. Our results on the explicit highest weight vectors in of and give more refined information than multiplicities on the structure of these modules.
We now describe our approach and results in more details. Assume that and let denote the symmetric group on . Following Howe [H1], we consider an algebra of polynomial functions on the space of all complex matrices with the properties that acts on by algebra homomorphisms, and has a decomposition
[TABLE]
where for each , as a -module, and acts on by permuting the factors. Next, we define
[TABLE]
Then and have decompositions
[TABLE]
where for each ,
[TABLE]
and for each ,
[TABLE]
In this way, we obtain explicit models for and .
Our goal is to determine the -highest weight vectors in the spaces and . Let be the standard maximal unipotent subgroup of , and consider the algebra and the space of -invariants in and respectively. If suitable bases of and are known, then they can be used to describe all the -highest weight vectors which occur in and in .
We shall implement the above procedure for the case . In this case, the algebra is a subalgebra of the polynomial algebra on the variables , . For , let
[TABLE]
Then we show that the algebra of -invariants in is generated by
[TABLE]
MAIN THEOREM**.**
Let
[TABLE]
- (i)
The set
[TABLE]
is a basis for . 2. (ii)
The set
[TABLE]
is a basis for .
Let be the diagonal torus of . For , let be defined by
[TABLE]
where denotes the diagonal matrix with diagonal entries . If and , then we write
[TABLE]
For a Young diagram , we shall denote the number of rows in by and the number of boxes in by . It is well known that the irreducible polynomial representations of are labeled by the set of all Young diagrams with ([F, GW, H2]). Specifically, for such a Young diagram , we identify it with the element of where for each , is the number of boxes in the -th row of , and denote the irreducible representation of with highest weight by . It follows from the main theorem that the set
[TABLE]
is a basis for the space of highest weight vectors of weight in , and the set
[TABLE]
is a basis for the space of highest weight vectors of weight in . In particular, the cardinality of and the cardinality of give the multiplicity of in and in respectively.
General convention
Let be a group. We denote by the trivial representation of . For a -module , we denote by the subspace consisting of all -invariants in . Namely,
[TABLE]
When is also an -module, we put
[TABLE]
where is the sign of . Notice that if the actions of and commute with each other, then is an -submodule, and are -submodules, and
[TABLE]
2. Spaces of -invariants
In this section, we realize the -modules and as spaces of polynomial functions and study the highest weight vectors which occur in these spaces.
2.1. The algebras and
This subsection is based on [H1]. Let be the algebra of polynomial functions on the space of all complex matrices, and let act on by
[TABLE]
where , , and . We restrict this action to the subgroup of . Then by a standard argument using -duality ([H2]), we see that has a decomposition into a direct sum of -submodules
[TABLE]
where denotes the set of all nonnegative integers, and for each ,
[TABLE]
as a -module and acts on by the character , i.e.
[TABLE]
Thus equation (2.2) defines a graded algebra structure on graded by the semigroup .
For each , let
[TABLE]
Let be the direct sum of all the homogeneous components of of the form , i.e.
[TABLE]
where for each ,
[TABLE]
Clearly is a graded subalgebra of . We also note that the symmetric group acts on each by permuting its factors, and by taking direct sum, we obtain an action of on the algebra by algebra automorphisms. In fact, if we identify with the group of permutation matrices in , then this action by coincides with the action obtained by restriction of the action by defined in equation (2.1).
2.2. The algebra and the space
The subalgebra of consisting of all the -invariants in has a decomposition
[TABLE]
where for each ,
[TABLE]
On the other hand, the -isotypic component of has a decomposition
[TABLE]
where for each ,
[TABLE]
In this way, we obtain explicit models for and . Note that is not a subalgebra of .
2.3. -invariants
Let be the subgroup of consisting of all upper triangular matrices such that all diagonal entries are . Then is the standard maximal unipotent subgroup of . A nonzero element of is a -highest weight vector if it is fixed by all elements of and it is an eigenvector for each element of . Thus, in order to determine the -module structure of and , we consider the spaces , and of -invariants in , and respectively. By equations (2.4) and (2.5), we have
[TABLE]
where for each ,
[TABLE]
and
[TABLE]
where for each ,
[TABLE]
Hence, the structure of the algebra and the space encode information on the -module structure of and . In particular, if bases of and which are compatible with the decompositions (2.6) and (2.7) are known, then they can be used to describe all the -highest weight vectors which occur in and in .
2.4. A basis for
Since the action by and on commute with each other, is a -module and we have
[TABLE]
In this subsection, we shall describe a basis for . The standard monomial theory for specifies a basis for the algebra of -invariants in , and the elements of this basis are certain monomials on a set of generators called standard monomials. The basis elements which belong to the subalgebra forms a basis for .
Recall that is the algebra of all polynomial functions on the space of complex matrices. We shall write a typical element of as
[TABLE]
so that can be identified as the polynomial algebra on the variables . We note that for and , we have
[TABLE]
for and . In particular, we may identify a permutation with the permutation matrix in , which acts on by
[TABLE]
For a Young diagram and , let denote the set of all semistandard tableaux of shape and content , and let
[TABLE]
The nonnegative integer is called a Kostka number ([F]).
From now on, we shall assume that . Let be a Young diagram with , and let . For each , we shall associate with a polynomial in as follows: If consists of a single column with entries where , then we let
[TABLE]
In general, if are the columns of from left to right, then we define
[TABLE]
We also let be the monomial in given by
[TABLE]
where
[TABLE]
Next, we let the set of monomials in be given the graded lexicographic order ([CLO]) such that
[TABLE]
Thus under this monomial ordering, we have
[TABLE]
If is a nonzero element of , then we shall denotes the leading monomial of with respect to the above monomial ordering by . Notice that for any nonzero elements of .
The following results are well known ([HKL, HL, Le]).
Proposition 2.1**.**
Let .
- (i)
As a representation of ,
[TABLE] 2. (ii)
If , then
[TABLE]
Moreover, the set
[TABLE]
is a basis for .
Recall that for each , . If is a Young diagram with , then we let . Then has a decomposition
[TABLE]
Corollary 2.2**.**
For each and for each Young diagram with , the set is a basis for . Consequently, the union
[TABLE]
is a basis for .
3. The case — Schur-Weyl duality
For a Young diagram with boxes, we denote by the irreducible -module corresponding to . Then by Schur-Weyl duality ([H2, GW]),
[TABLE]
as a representation for . Consequently,
[TABLE]
In particular, for each Young diagram with boxes, we can realize the irreducible module as the space and the set forms a basis for .
Remark 3.1**.**
Consider the -algebra homomorphism defined by . By this homomorphism, for each standard tableau on a -box Young diagram , is sent to the Specht polynomial
[TABLE]
where is a partition associated to the conjugate diagram of . It is well known that the Specht polynomials form a basis of an irreducible -submodule in isomorphic to (see, e.g. [F]). In this sense, our is regarded as a refinement of the Specht polynomial .
4. The case
In this section, we determine all the -highest weight vectors which occur in and in .
Proposition 4.1**.**
Assume that and let
[TABLE]
- (i)
The algebra is generated by and the set forms a basis for . 2. (ii)
For each positive integer , we have
[TABLE]
and for each even integer such that , is a -highest weight vector in (which is unique up to a scalar multiple). 3. (iii)
For each positive integer , we have
[TABLE]
and for each odd integer such that , is a -highest weight vector in (which is unique up to a scalar multiple). 4. (iv)
We have
[TABLE]
Proof.
Fix a positive integer and a Young diagram with and . We shall show that for each , is of the form
[TABLE]
where .
If has only one row and , then it is clear that .
If has two rows, then for some . In this case, if , then must be the tableau
[TABLE]
and so
[TABLE]
Thus,
[TABLE]
is a basis for and
[TABLE]
Part (i) follows from this and Corollary 2.2.
Next, since
[TABLE]
we have
[TABLE]
It is clear that (ii), (iii) and (iv) follow from this. ∎
5. The case
In this section, we will implement the procedure outlined in §2 for the case . Specifically, we shall determine a basis for the algebra and a basis for the space . Using these bases, we obtain all the -highest weight vectors which occur in and in .
5.1. Algebra generators for
In this subsection, we shall describe a finite set of generators for the algebra .
Proposition 5.1**.**
The algebra is generated by
[TABLE]
Proof.
Fix a positive integer and a Young diagram with and . We shall show that for each , can be expressed of the form
[TABLE]
where . We consider several cases according to the number of rows in .
Case I: . We must have , and consists of exactly one tableau which is given by
[TABLE]
Then . Note that is an invariant for .
Case II: . Let us take a tableau , and suppose that there are ’s and ’s in the second row of . If , then is of the form
[TABLE]
and we have
[TABLE]
If , then is of the form
[TABLE]
and we have
[TABLE]
We see in both cases, is expressed as a monomial in and .
Case III: . Let us take a tableau . Assume that there are boxes in the bottom row of , and let be a Young diagram obtained from by deleting first columns. Then and is of the form
[TABLE]
where . Thus we have
[TABLE]
By the preceding discussion, is in form (5.1). Hence, is also in this form. ∎
Remark 5.2**.**
It follows from the discussion above that
[TABLE]
for each Young diagram with .
5.2. Two subalgebras of
Our goal is to determine a basis for and a basis for . In the previous subsection, we proved that the algebra is generated by . Let and be the subalgebras of defined by
[TABLE]
We note that and are also -modules. In fact, is a -invariant, and and each generates a one-dimensional representation of which is isomorphic to the sign representation. Therefore, it is easy to describe the -module structure of and we will do this later. On the other hand, and span the irreducible -module labeled by the Young diagram (see §3), so that is the symmetric algebra on . To determine the structure of and , the main work is to determine the structure of and .
We now consider a slightly general situation. Let be such that . The polynomial algebra is a -module by letting for and . It is well known that the algebra of -invariants, or symmetric polyonomials in variables, is a polynomial algebra in the elementary symmetric polynomials
[TABLE]
which are algebraically independent. Namely, . We also notice that the -submodule consisting of alternating polynomials is given by
[TABLE]
where
[TABLE]
is the simplest alternating polynomial.
For each , put
[TABLE]
where indicates the omission of in the product.
Lemma 5.3**.**
For and ,
[TABLE]
Proof.
Let . If , then
[TABLE]
Next, assume that . If , then
[TABLE]
If for , then
[TABLE]
Put
[TABLE]
By the lemma above, for each , we have
[TABLE]
Hence, if we put
[TABLE]
then we have
[TABLE]
for any and . This implies that the -algebra homomorphism defined by
[TABLE]
is a surjective -map such that . Consequently, we have
[TABLE]
and
[TABLE]
We now return to the case . The images of and under are given by
[TABLE]
The discriminant of the cubic polynomial
[TABLE]
is explicitly given by
[TABLE]
Thus we have the relation
[TABLE]
Summarizing the discussion above, we have the
Lemma 5.4**.**
The subalgebra and the subspace are given by
[TABLE]
Moreover, we have
[TABLE]
5.3. invariants in
We now consider the tensor product of the algebras and , and let be the linear map such that for ,
[TABLE]
where is the product of and in . The map is clearly surjective. Moreover, since acts on by algebra automorphisms, is a -module map. Hence we obtain the following lemma:
Lemma 5.5**.**
Let be the space of -invariants in . Then
[TABLE]
Lemma 5.6**.**
Let
[TABLE]
- (i)
The set is a basis for . 2. (ii)
The algebra has a decomposition
[TABLE]
where is the subspace of spanned by . Moreover, the subspace is an irreducible -submodule and
[TABLE]
Proof.
Since generates the algebra , spans . We compute
[TABLE]
and note that the exponents of , and uniquely determine and . Hence, the elements of have distinct leading monomials, and it follows from this that is linearly independent. This gives (i). Part (ii) clearly follows from (i). ∎
Next, suppose that
[TABLE]
is a decomposition of into irreducible -submodules. Then
[TABLE]
and so we have
[TABLE]
Since
[TABLE]
we see that
[TABLE]
and
[TABLE]
It follows that we may replace the algebra in the tensor product by the subspace , that is,
[TABLE]
and
[TABLE]
Now if and only if for some , and by Lemma 5.4, is a polynomial in and . In fact, we may assume that for some . Similarly, if and only if where for some , and so we may assume that .
We can now describe the vector in the image under the map of in Case 1 and Case 2, and of in Case 3 and Case 4.
- C1se 1:
Since is even, and for some and . In this case,
[TABLE] 2. C2se 2:
Since is odd, we either have and or and for some . So we either have
[TABLE]
or
[TABLE] 3. C3se 3:
Since is odd, we either have and or and for some . So we either have
[TABLE]
or
[TABLE] 4. C4se 4:
Since is even, and for some and . In this case,
[TABLE]
Thus we have proved:
Proposition 5.7**.**
- (i)
The algebra is spanned by the set
[TABLE]
Hence, is a set of algebra generators for . 2. (ii)
The space is spanned by the set
[TABLE]
We are now ready to prove the Main Theorem as stated in the Introduction.
Proof of Main Theorem.
We will only prove (i) as the proof for (ii) is similar. By Proposition 5.7, is spanned by all elements of the form
[TABLE]
with . We need to explain why it is enough to have .
By equation (5.2), . So if with or , then
[TABLE]
Hence, it is enough to include those elements with .
We also have . If with or , then
[TABLE]
Thus we may assume or . This shows that spans .
Next we show that is linearly independent. It suffices to show that the elements of have distinct leading monomials. First, we list the leading monomials of , , , and :
[TABLE]
We now let , , and let
[TABLE]
Then, by the table above, we have
[TABLE]
where
[TABLE]
From these relations, we have
[TABLE]
and
[TABLE]
which imply that uniquely determines and . ∎
5.4. Highest weight vectors in and in
Let us denote by (resp. ) the -isotypic component in (resp. ). The nonzero vectors in (resp. ) are precisely the the -highest weight vectors in (resp. ). Hence, the multiplicity of in and in are given by
[TABLE]
and
[TABLE]
We now use the main theorem to obtain a basis for and a basis for . Recall from equation (1.2) that if and , then we write and . We also denote the cardinality of a finite set by .
Corollary 5.8**.**
- (i)
The set
[TABLE]
is a basis for . Consequently,
[TABLE] 2. (ii)
The set
[TABLE]
is a basis for . Consequently,
[TABLE]
6. Examples
We now compute several examples. For a set of special elements , we specify and in the table below:
[TABLE]
If , then
[TABLE]
Example 6.1** (Highest weight vectors in ).**
The only element of such that is . Hence, is irreducible and .
Example 6.2** (Highest weight vectors in ).**
The only element of such that is . Hence, is irreducible and .
Example 6.3** (Highest weight vectors in ).**
The following table lists all the elements of with .
[TABLE]
Thus, has the following decomposition:
[TABLE]
Example 6.4** (Highest weight vectors in ).**
The following table lists all the elements of with .
[TABLE]
Thus, has the following decomposition:
[TABLE]
Example 6.5** (Highest weight vectors in ).**
The following table lists all the elements of with .
[TABLE]
Thus, has the following decomposition:
[TABLE]
Example 6.6** (Highest weight vectors in ).**
The following table lists all the elements of with .
[TABLE]
Thus, has the following decomposition:
[TABLE]
Example 6.7** (Highest weight vectors in ).**
The following table lists all the elements of with .
[TABLE]
Thus, has the following decomposition:
[TABLE]
Example 6.8** (Highest weight vectors in ).**
The following table lists all the elements of with .
[TABLE]
Thus, has the following decomposition:
[TABLE]
Example 6.9** (Highest weight vectors in ).**
The following table lists all the elements of with .
[TABLE]
Thus, has the following decomposition:
[TABLE]
Example 6.10** (Highest weight vectors in ).**
The following table lists all the elements of with .
[TABLE]
Thus, has the following decomposition:
[TABLE]
Example 6.11** (Highest weight vectors in ).**
The following table lists all the elements of with .
[TABLE]
Thus, has the following decomposition:
[TABLE]
Example 6.12** (Highest weight vectors in ).**
The following table lists all the elements of with .
[TABLE]
Thus, has the following decomposition:
[TABLE]
Remark 6.13**.**
For a Young diagram with , the multiplicity of in is equal to the number of tuples satisfying
[TABLE]
which is equivalent to the equations
[TABLE]
The solutions of (6.1) lying in are explicitly given by
[TABLE]
for whenever , where is the largest integer not exceeding . Hence we have
[TABLE]
Similarly, we also have
[TABLE]
We note that both of these multiplicities are of the form
[TABLE]
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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