Branching algebras for the general linear
Lie superalgebra
Abstract.
We develop an algebraic approach to the branching of representations of the general linear Lie superalgebra , by constructing certain super commutative algebras whose structure encodes the branching rules. Using this approach, we derive the branching rules for restricting any irreducible polynomial representation of to a regular subalgebra isomorphic to , or , with and . In the case of with or but general , we also construct a basis for the space of highest weight vectors in ; when , the branching rule leads to explicit expressions for the weight multiplicities of in terms of Kostka numbers.
Key words and phrases:
General linear Lie superalgebras, Reciprocity laws, Branching rules2010 Mathematics Subject Classification:
05E10, 15A75, 20G05, 22E461. Introduction
Branching rules and tensor product decompositions are two aspects of the representation theory of Lie superalgebras [K], which are most frequently used in physics, particularly in building supersymmetric models of elementary particle (see e.g., [DJ]). Much research has been devoted to them since the discovery of Lie superalgebras [SNR, CNS] in the 70s, but most studies are concerned with special cases with immediate physical applications, and general results are rarely obtained. The generic non-semi-simplicity of finite dimensional representations of Lie superalgebras makes the branching rules and tensor product decompositions much more difficult to study for Lie superalgebras than for semi-simple Lie algebras [GW]. However, polynomial representations of the general linear Lie superalgebra turn out to be an exception. They are unitarizable with respect to the compact real form [GZ], thus are semi-simple.
We shall study branching rules for the general linear Lie superalgebra by developing an approach inspired by the work of Howe et al. [HTW1, HTW2]. The key feature of this approach is that the branching rules are encoded in the structure of certain super commutative algebras to be constructed in this paper.
Let be a general linear Lie superalgebra (defined precisely in §2.1.2) and let be a regular Lie super subalgebra of . If is an irreducible polynomial representation of , then we shall consider the action by on obtained by restriction. We call a description of how decomposes into irreducible representations a branching rule. We shall determine branching rules for the cases when (i) , (ii) , and (iii) , where are non-negative integers such that and , and is the one-dimensional Lie algebra over . In the case when , the branching rule in (i) leads to explicit expressions for the weight multiplicities in in terms of Kostka numbers. In addition, we also construct a set of linearly independent weight vectors of . It forms a basis for the space of highest weight vectors in if or , and coincides with the basis of obtained in [CZ, Theorem 3.3] if .
Let us now briefly describe our approach to solutions of the branching problems.
Fix a positive integer and consider the natural action by on the -graded symmetric superalgebra over , where is the general linear Lie algebra. By the Howe duality [H1] (also see [CW, Se]), is a multiplicity free sum of irreducible polynomial representations of . Let be a subalgebra of of the type (i)-(iii) described above, and let and be the standard maximal nilpotent subalgebras of and respectively. We consider the subalgebra
of consisting of all vectors annihilated by the operators from . Then is a representation for , where and are Cartan subalgebras of and respectively. Thus is a direct sum of eigenspaces for
Each eigenspace consists of highest weight vectors of a specific weight, so that its dimension is equal to the multiplicity of an irreducible representation in an irreducible representation. In this sense the structure of encodes a branching rule for . In view of this property of , we call it a branching algebra for .
It turns out that the structure of also encodes a second branching rule for a pair of Lie algebras of the form , where for any given positive integer and is a copy of which embeds in diagonally. The second branching rule is well understood as it is related to either the Pieri rule or the Littlewood-Richardson rule which are well known. Hence, we use the second branching rule to deduce the branching rule for .
We believe that the approach described above to branching rules of the general linear Lie superalgebra is of general interest and should extend to the other classical series of Lie superalgebras.
We also construct a linearly independent set of vectors in . These vectors are highest weight vectors and are weight vectors. In the case when or , these vectors are also highest weight vectors for . In fact, we obtain from these vectors a basis for the space of highest weight vectors in an irreducible polynomial representation which occurs in . We remark that the explicit form of the highest weight vectors provide more refined information than branching multiplicity. In the case when , we reproduce the basis for which was constructed in [CZ, Theorem 3.3] by direct calculation.
Now we relate the present paper to previous work. Branching rules for were extensively investigated in [BR] by using symmetric group techniques [DJ] through Schur-Weyl duality. In particular, a branching rule for any irreducible polynomial -representation was given in [BR, Theorem 5.14]. A ) branching rule was also obtained in [CLZ] for the oscillator representations by exploring a general principle that relates branching rules of -representations and tensor product decompositions of -representations in the context of duality. We also mention that the same method was applied in [CZ] to obtain a branching rule for the oscillator representations of the orthosymplectic Lie superalgebra, where a ) branching rule for the polynomial representations of was also alluded to (see [CZ, Remark 9.4]).
The content of this paper is arranged as follows. In Section 2, we set up notation and also review some basic facts in representation theory which we need in the rest of the paper. Sections 3 and 4 are devoted to constructing branching algebras for and for respectively, and to deriving the associated branching rules. Finally in Section 5, we construct a linearly independent set of vectors in with properties described in the preceding paragraph.
We work over the field of complex numbers throughout the paper.
Acknowledgement
The first named author expresses his sincere gratitude to the University of Sydney for warm hospitality during his visit in December 2023 - February 2024.
2. Preliminaries
In this section, we will review the iterated Pieri rules for the general linear Lie algebra [HKL, KLW], and the Howe duality between and the general linear Lie superalgebra [H1] (also see [CLZ, CW, CZ, Se]). These results provide the main technical tools which we will apply to derive branching rule for polynomial representations of . Some necessary background material on linear algebra of -graded vector spaces will also be given.
2.1. The Howe duality
2.1.1. Linear algebra of -graded vector spaces
A -graded vector space is the direct sum of the even subspace and the odd subspace . It is said to be purely even (resp. odd) if (resp. ). We denote by the degree of a homogeneous element . Let be another -graded vector space. Then the space of linear maps from to is -graded with , where any satisfies for all . Note in particular that has the structure of a -graded associative algebra, i.e., an associative superalgebra.
The usual tensor product of vectros spaces extends to the category of -graded vector spaces. For any objects , we have
The category of -graded vector spaces has a canonical symmetry given by
(2.1) |
for any objects , which is defined by the unique linear extension of the map for all homogeneous elements and . This in particular gives rise to an action of the symmetric group of degree on the -th tensor power of for any (see, e.g., [DJ] and [BR]). To describe this, we recall the standard presentation of with generators and defining relations
Then acts on by for all .
The tensor algebra over a -graded vector space is a superalgebra, which is also -graded with being the degree homogeneous subspace. Here, denotes the set of all nonnegative integers. Let be the two-sided ideal of generated by the elements for all homogeneous . This is a homogeneous ideal with respect to both the -grading and -grading, and hence
is a -graded associative superalgebra, which is usually referred to as the -graded symmetric algebra, or supersymmetric algebra, over . It is -graded commutative in the sense that for all homogeneous .
Note the following obvious facts.
-
(i)
, where is the usual symmetric algebra of and is the exterior algebra of ;
-
(ii)
is a -submodule, and as -module for any , where is the degree homogeneous subspace of ;
-
(iii)
for any -graded vector spaces .
Part (ii) makes use of the semi-simplicity of as -module.
2.1.2. The general linear Lie superalgebra
For any -graded vector space , the endomorphism superalgebra can be endowed with a Lie superalgebra structure , which is a bilinear map defined by
for any homogeneous . Then together with is called the general linear Lie superalgebra of and is denoted by .
If is finite dimensional, there are non-negative integers and such that and . By choosing a homogeneous basis, we can identify with . We shall also write for .
The standard basis for is given by where
(2.2) |
Then is a basis for the even subspace and is a basis for the odd subspace . Denote by , for all , the matrix units relative to the standard basis. Then for all
For positive integers and , let be the space of all complex matrices, the zero matrix and . Write , and we shall identify each element with the matrix which represents with respect to the standard basis of . So as vector spaces, we have ,
(2.5) | ||||
(2.8) |
The matrix units form a homogeneous basis for . We fix for the standard Borel subalgebra and Cartan subalgebras , where consists of all upper triangular matrices in , and consists of all diagonal matrices in . We also let be the subalgebra of consisting of all strictly upper triangluar matrices in . Then the Borel subalgebra can be written as a direct sum
Remark 2.9.
Note that , and and are the standard Borel and Cartan subalgebras of respectively. Moreover, where . We also have .
Highest weight modules for will be defined relative to the Borel sublgebra . Irreducible highest weight modules are uniquely characterized by their highest weights, which are elements of the dual space of . The irreducible highest weight module with highest weight is finite dimensional if and only if for all .
We will denote an element as , where for all .
Let us introduce a subset of , which will play an important role in the rest of this paper. Denote by the set of partitions, i.e., the set of sequences with for all such that , and for all . We depict as a Young diagram with boxes in the -th row for each . (Recall that a Young diagram is an array of square boxes arranged in left-justified horizontal rows, with each row no longer than the one above it [Fu]. We will often abuse notation and write an element as if for all . For example, the element of will sometimes be written as , and it represents the Young diagram which has exactly box.) The depth of , denoted by , is the number of rows in the Young diagram of . Let
We also let
and call it the -hook in . Note that .
Given , we write for the length of the -th column of the Young diagram of (in particular, ), and let be the -tuple defined by
(2.10) |
where for ,
Let
and we identify it with a subset of via the inclusion defined by, for all ,
(2.11) |
where for all .
Now, for any , we denote by the irreducible -representation with highest weight . We call the representation of corresponding to such an an irreducible polynomial representation in view of the well-known facts that tensor powers of are semi-simple, and their simple submodules are precisely for all (see, e.g., [BR, GZ]). Note in particular that .
Remark 2.12.
The easiest way to see the semi-simplicity of the tensor powers of is by observing the fact [GZ] that is unitarizable with respect to the compact real form of . However, one should be warned that tensor products of polynomial representations with their duals are not semi-simple in general.
2.1.3. Realization of irreducible polynomial representations of
Fix a positive integer , and consider the natural action of on , where is purely even. The action naturally extends to
the -graded symmetric algebra on . We have the following result.
Theorem 2.13 (The -duality).
As a -module, has the following multiplicity free decomposition into irreducible represenations
(2.14) |
where and is the irreducible representation with highest weight determined by in the usual way (see Remark 2.15 below).
Remark 2.15.
Since any satisfies for all , we define the map
which is the special case of the map defined in equation (2.11). Then the highest weight of is equal to .
Theorem 2.13 was already known to Howe in the 70s [H1]. More recent treatments of it can be found in [Se] and [CLZ, CW, CZ]. It reduces to -duality when :
(2.16) |
and to skew -duality when :
(2.17) |
where
(2.18) |
i.e., is the set of all Young diagrams with at most columns and at most rows. (see [H, H1]).
Next, denote by the subalgebra of consisting of all strictly upper triangular matrices. Let
Then is a subalgebra of , as for any , we have
It is a module for , and can be decomposed as
(2.19) |
where is the subspace of consisting of all vectors annihilated by the operators from . For , we have and for all and all , i.e., the nonzero vectors in are highest weight vectors of weight . Since , we have
(2.20) |
as modules for . Thus, we may realize the -module as the -eigenspace of in .
2.2. Iterated Pieri rules for
In this subsection, we restrict ourselves to ordinary general linear Lie algebras and consider the cases of Theorem 2.13 with or , that is, the - duality or the skew -duality. In particular, the special case with and yields the well-known fact that , the symmetric -th power of the standard representation , for any ; and the case with and gives , the exterior -th power of , for any .
We shall state the iterated Pieri rules for which play a crucial role in the rest of this paper. Before we do that, we recall some definitions in combinatorics. Let and be Young diagrams such that sits inside , that is, for all . By removing all boxes belonging to , we obtain the skew diagram . (We allow to be the empty Young diagram with no box, i.e., . In this case, we have .) If we put a positive number in each box of , then it becomes a skew tableau. Let us denote this skew tableau by . We say that the shape of is . If the entries of are taken from , and of them are for , then we say the content of is . We also say that is semistandard if the numbers in each row of weakly increase from left-to-right, and the numbers in each column of strictly increase from top-to-bottom. The number of semistandard tableaux of shape and content is denoted by and is called a Kostka number([Fu]). (If is the empty Young diagram, then we write for .) Finally, the conjugate diagram of the Young diagram is the Young diagram having boxes in the th column counting from left to right.
Proposition 2.21 (Iterated Pieri rules).
Let .
-
(i)
If are non-negative integers, then
where .
-
(ii)
If are non-negative integers not more than , then
where .
3. Branching algebra for
In this section, we shall construct a branching algebra for where and . By using the structure of this algebra, we obtain branching rules for and also for . By applying the result for the case , we obtain the dimensions of the weight spaces in an irreducible polynomial representation of .
3.1. Branching problems
From now on, we shall denote by . We first define two subalgebras of to be denoted by and respectively.
Let and be non-negative integers, and let be the injection defined by
This induces an injection of Lie superalgebras defined as follows: For any , where the matrices are respectively , , and , then
(3.1) |
where denotes the zero matrix, and
(3.2) |
Let
(3.3) |
which is a subalgebra of and . Let
Then is a Cartan subalgebra, is a Borel subalgebra of and .
We also let be the subalgebra of consisting of all matrices of the form (3.1)
(3.4) |
where all the submatrices are as in equation (3.1) except that and are diagonal matrices of sizes and respectively. Then it is clear that
Let
Then is a Borel subalgebra of , is a Cartan subalgebra of and . Note that
In this section, we consider the following branching problems:
Branching Problem: For ,
-
(i)
determine a decomposition of into irreducible modules, and
-
(ii)
determine a decomposition of into irreducible modules.
3.2. The branching algebra
Let be a positive integer and consider the module . Let
(3.5) |
be the subalgebra of consisting of vectors annihilated by operators from . It is a module for . Since is isomorphic , we shall instead regard as a module and describe the corresponding isotypic decomposition of .
For convenience, we introduce the following notation:
Notation 3.6.
Let be complex vector spaces and . For each , let be a linear functional. Then shall denote the linear functional on defined by, for all ,
(3.7) |
We shall assume that here, the case will be discussed in §3.4. Let
(3.8) |
For each , let
that is, is the -isotypic component for in .
Let us denote by the -dimensional -module with weight , and similarly denote by the -dimensional -module with weight . Then we have the following result:
Proposition 3.9.
The algebra has a direct sum decomposition given by
(3.10) |
Moreover, for each ,
(3.11) |
Proof.
Since all vectors in are anihilated by the operators from , any eigenvector in is a highest weight vector, so that the corresponding eigencharacter is necessarily a dominant weight for and is of the form for some . For a similar reason, the eigencharacter of any eigenvector of in is of the form for some . Consequently, the direct sum (3.10) is the isotypic decomposition of with respect to the action by .
To prove (3.11), we shall use equation (2.14) to obtain another decomposition of . By extracting vectors in which are anihilated by , we obtain from equation (2.14) the direct sum
(3.12) |
where is the space of vectors in annihilated by operators from , which is a module for .
We now fix . Then can be decomposed as
(3.13) |
where the direct sum is taken over all and
i.e., the space of all highest weight vectors in of weight . Consequently,
(3.14) |
which is the multiplicity of in .
Remark 3.17.
We see from Proposition (3.9) that part of the branching rule for can be deduced from the structure of the algebra . In particular, the dimension of each of the subspaces of is the multiplicity of an irreducible representation in an irreducible representation. In view of this property of , we call a branching algebra for .
3.3. Branching rules for and
We now express in terms of Kostka numbers and skew Kostka numbers.
Proposition 3.18.
For any , let be the non-negative integer defined by
(3.19) |
where the sum is taken over all Young diagrams (note that only for finitely many ). Then
(3.20) |
Proof.
Write and . Then , and hence . Recall from Section 2.1.1 the functorial property of the supersymmetric algebra that for any -graded vector spaces and . This immediately leads to
Since (see Section 2.1.1), we obtain
(3.21) |
This is an isomorphism of modules for , whose direct summands , , and act on both sides in the obvious way.
Next, we have and By using the -duality and its skew version, we obtain
Thus we have the following isomorphisms of modules for and respectively:
(3.22) | |||
(3.23) |
where , , and if for any . Moreover, and are one-dimensional modules of and respectively, satisfying
for all , , and .
It now follows from equations (3.21), (2.14), (3.22) and (3.23) that
(3.24) |
where for each ,
and is the module defined by
(We agree that if for some .)
Now can be analyzed using the Iterated Peiri rules. By first applying part (i) and then part (ii) of Proposition 2.21, we obatin
By extracting the vectors in which are anihilated by , we obtain
(3.25) |
We now fix and let be the space of vectors in for which for all . Then since and by equation (3.25),
(3.26) |
Moreover,
as a module for . It follows from this and equation (3.26) that
This completes the proof. ∎
Remark 3.27.
We have seen earlier that the structure of encodes a branching rule for . The proof of Proposition (3.18) shows that the dimension of is equal to the multiplicity of in the -fold tensor product of representations, where . So the structure of also encodes information on how such tensor products decomposes into irreducible representations, which can be viewed as a branching rule from to its diagonal subalgebra (see Remark 3.28 below for explanation). Hence, the structure of encodes two sets of branching rules connected by a reciprocity law. Following [HTW1, HTW2], we shall call a reciprocity algebra.
Remark 3.28.
Set When is regarded as embedded in its universal enveloping algebra in the canonical way, one always writes .
We have the following result
Theorem 3.29.
Recall that and . Let .
-
(i)
(Branching from to As a representation of ,
-
(ii)
(Branching from to As a representation of ,
where for each ,
(3.30)
3.4. Weight multiplicities of
We now consider the case . In this case, we have
and is a module for . Note that is the direct product of only sets instead of since , and the algebra decomposes into the direct sum
where for each ,
Except these minor differences, the arguments in §3.2 and 3.3 remain valid and lead to the following results:
Corollary 3.31.
Let .
-
(i)
For , let
the -weight space of . Then we have
as a module for , and
(3.32) where
(3.33) where the sum is taken over all Young diagrams .
-
(ii)
The dimension of is given by
(3.34) where
4. Branching algebra for
In this section, we shall construct a branching algebra for where . By using the structure of this algebra, we deduce a branching rule for . In particular, in the case , we obtain a branching rule from to its even subspace .
4.1. Branching problem
We continue to denote . Recall the subalgebra of defined in equation (3.3). We now define another Lie supalgebra of as follows: Let be the injection defined by
This induces an injection of Lie superalgebras defined as follows: For any , where the matrices are respectively , , and , then
(4.1) |
Let
(4.2) |
which is a subalgebra of and . Let
Then is a Cartan subalgebra and is a Borel subalgebra of , and .
Next we let be the subspace of spanned by . Explicitly, consists of all matrices of the form
(4.3) |
where all the submatrices are as in equations (3.1) and (4.1). Then is a subalgebra of , and
(4.4) |
Let
Then is a Borel subalgebra of , is a Cartan subalgebra of and . Moreover, we have
By (4.4), all the irreducible polynomial representations of are of the form for some and .
In this section, we consider the following branching problem:
Branching Problem: For , determine a decomposition of the irreducible -module into irreducible -modules.
A solution of this branching problem was alluded to in [CZ, Remark 9.4]. Here we want to build a branching algebra to solve the problem.
4.2. The branching algebra
Let be a positive integer. We again consider the module and let
be the subalgebra of consisting of vectors annihilated by the operators from (recall that is the subalgebra of consisting of all strictly upper triangular matrices). Then is a module for . Since is isomorphic to , we shall instead regard as a module for .
We have the following result.
Proposition 4.5.
-
(a)
The algebra has a direct sum decomposition given by
(4.6) -
(b)
For all ,
(4.7) -
(c)
For all ,
(4.8)
Proof.
The following isomorphism of algebras is clear,
which can also be easily proved using arguments similar to those in the proof of Proposition 3.18. Using the -duality and -duality, we obtain
By extracting the vectors in which are annihilated by the operators from , we obtain
(4.9) |
Let . Then the space of vectors in annihilated by the operators from is a module for , and can be decomposed as
(4.10) |
where the direct sum is taken over a set of Young diagrams and
(4.11) |
i.e., is the space of highest weight vectors of weight in . Therefore,
(4.12) |
the multiplicity of in the tensor product . By Theorem 2.13, the irreducible representations of which occur in are labeled by the Young digrams in . Thus, we may assume that the Young diagrams which appear in the direct sum (4.10) also belong to .
By combining equations (4.9) and (4.10), we obtain
(4.13) |
Now observe that for all ,
(4.14) |
as a module for . This immediately leads to (4.6). Moreover, by equations (4.14) and (4.12),
since . This proves (b).
Next, we use equation (2.14) to obtain another decomposition of . We have
(4.15) |
where for each is the space of vectors in annihilated by the operators from , which is a module for . So can be written as a direct sum
(4.16) |
where
which is the space of all highest weight vectors in of weight . Hence
(4.17) |
the multiplicity of the irreducible representation in the irreducible representation . By combining equations (4.15) and (4.16), we obtain
(4.18) |
Now for each , we have
as a module for . Since , by equation (4.17), we obtain
which proves (4.8). This completes the proof of the proposition. ∎
Remark 4.19.
-
(i)
Part (c) of Proposition (4.5) shows that the structure of the algebra encodes part of the branching rule for . In view of this fact, we call a branching algebra for .
-
(ii)
We see from Part (b) of Proposition (4.5) that the structure of also encodes information on the decomposition of the tensor products of certain irreducible polynomial representations of , which can be viewed as a branching rule for , where in the notation of Remark 3.28. Therefore, is also a branching algebra for .
- (iii)
4.3. A branching rule for
We now derive a branching rule for using the reciprocity algebra , and the Littlewood-Richardson rule which we now recall. For a skew tableau , the word of is the sequence of positive integers obtained by reading the entries of from top to bottom, and right to left in each row. A Littlewood-Richardson tableau is a skew tableau which is semistandard and satisfies the Yamanouchi word condition, that is, for each positive integer , starting from the first entry of to any place in , there are at least as many s as s. The Littlewood-Richardson rule [Fu, HL] states that if , and are Young diagrams with at most rows, then the multiplicity of in the tensor product is equal the number of Littlewood-Richardson tableaux of shape and content .
Theorem 4.20.
(Branching from to ) For any ,
as a representation for .
Proof.
Let . For any , we have
by (b) and (c) of Proposition 4.5. The right hand side is equal to by the Littlewood-Richardson rule. Hence
proving the theorem. ∎
Remark 4.21.
The branching rules of the oscillator representations of the general linear and orthosymplectic Lie superalgebras were determined in [CLZ, CZ] by exploiting the connection between branching and tensor product of representations of dual pairs of Lie (super)algebras, but without the framework of branching algebras. Also, the branching rule in Theorem 4.20 was described in [CZ, Remark 9.4].
We now consider the special case . In this case, , and
is the even subspace of .
Corollary 4.22.
Remark 4.24.
Let . Then the highest weight of is , where for each , . Let and be defined respectively by
Then by Corollary 4.22, the module occurs in with multiplicity . Moreover, the highest weight vector in is also the highest weight vector in
4.4. Alternative formulae of branching multiplicities
5. Weight vectors of associated to tableaux
In Section 3.1, we obtain a branching rule from to the subalgebra . In this section, we fix and construct explicitly a particular set of weight vectors in . We show that when or , this set of weight vectors forms a basis for the space of all highest weight vectors in . In particular, when and , this set is the basis of weight vectors for constructed in [CZ, Theorem 3.3].
5.1. Ordered monomials and leading monomials
In this subsection, we define a basis for the algebra and use this basis to define the leading monomial of a non-zero element in . The notion of leading monomial provides an effective way to prove linearly independence of subsets of .
Recall from Section 2.1.2 that is the standard basis for , where is the standard basis for the even subspace , and is the standard basis for the odd subspace . Let be the standard basis for , which is taken to be even. For , and , denote
and let with
Then is the associative algebra generated by with the following relations: For all .
(5.1) |
It is a superalgebra with the -grading defined as follows. Retaining the notation for the -degree of any homogeneous element , we have and for all . The algebra is also -graded with all elements of having degree .
Remark 5.2.
It is evident that the subalgebra of generated by subject to the relevant relations in (5.1) is isomorphic to , and the subalgebra generated by is isomorphic to . The multiplication induces an algebra isomorphism from their tensor product to , recovering .
Let us arrange the elements of in a rectangular array as shown below:
(5.3) |
As we will consider as a module for the Lie super subalgebra of , it is more convenient to introduce a different set of notation for some elements of . For , and , let
In this new notation, the array (5.3) becomes
(5.4) |
We now define an ordering on (in the notation (5.4)) as follows:
-
(O1)
if and only if , or and .
-
(O2)
if and only if , or and .
-
(O3)
if and only if , or and .
-
(O4)
if and only if , or and .
-
(O5)
for all indices .
Definition 5.5.
-
(i)
We call a non-zero product of the form
where for a monomial in .
-
(ii)
An ordered monomial in is a monomial such that
-
(iii)
If is a monomial in , then by reordering its factors if necessary, we obtain a unique ordered monomial . We call the ordered monomial associated with . Note that .
Let denote the set of all ordered monomials in . Then is a basis for . We now extend the ordering (O1-O5) to by the graded lexicographic order. Specifically:
-
(O6)
Given ordered monomials and , we have if and only if either or and there exists such that
Definition 5.6.
Let be a non-zero element of . Then can be written as a linear combination
(5.7) |
where , for and . Then the leading ordered monomial of is defined as
That is, is the largest ordered monomial which appears in the linear combination (5.7).
Since is a basis for , it is evident that if is a subset of and all the elements of have distinct leading monomials, then is linearly independent.
5.2. Determinant over
Let be a complex algebra (not assumed to be commutative), and let be the space of all matrices over . For , define the determinant of by
(5.8) |
where is the symmetric group on . We also write as
The following are some standard properties of the determinant:
-
(D1)
The function is multi-linear in the rows and in the columns of the matrix.
-
(D2)
If the matrix is obtained by swapping two rows of , then . Consequently, if has two identical rows, then .
-
(D3)
If the matrix is obtained by adding a multiple of a row of to another row of , then .
If we replace row by column in (D2), then the conclusion may not hold in general. For example, if and , then
(5.9) |
5.3. Ordered pairs of tableaux
In this subsection, we define a set of ordered pairs of tableaux whose cardinality is equal to the non-negative integer defined in equation (3.19).
Definition 5.10.
Let be a Young diagram and a tableau of shape .
-
(a)
We let denote the tableau of shape obtained by flipping the boxes and entries of the tableau .
-
(b)
If is a Young diagram such that sits in , then shall denote the tableau of shape obtained by removing all the boxes of not in , and shall denote the tableau of skew shape obtained by removing all the boxes of belonging to .
Definition 5.11.
Let . We define a tableau of shape as follows:
-
(i)
If , the boxes of in the -th row are all filled with the number .
-
(ii)
For with and consisting of columns, if and , then the box of in the -th row and -th column is filled with the number .
Denote by the tableau which is formed by the first rows of , and by the skew tableau obtained by removing all boxes belonging to from .
Note that in the special case when , we have and is the empty tableau.
Example 5.12.
Let , and . Then ,
We now fix with . For each Young diagram , let
Then by the definition of Kostka numbers, we have
(5.13) |
Let us introduce the following sets:
(5.14) |
where the union in (5.14) is taken over all Young diagrams . Note that if , then sits insides and sits insides . Since and are fixed, there are only finitely many Young diagrams for which are non-empty. Hence, (5.14) is actually a finite disjoint union of nonempty finite sets.
Now each element of gives rise to a tableau of shape defined as follows:
Definition 5.15.
For , shall denote the tableau of shape such that:
-
(i)
.
-
(ii)
.
-
(iii)
.
Example 5.16.
Let , , , , , , ,
Then
Lemma 5.17.
The cardinality of the set is , i.e.,
5.4. Weight vectors associated to ordered pairs of tableaux
We now fix and let . Assuming that , are all the columns of counted from left to right. Let and consider the th column of . We divide into a maximum of parts and call it Type or Type according to the following:
(5.18) |
where the different parts can be described as follows:
-
•
Part 1: the entries in Type and the entries where in Type which come from ;
-
•
Part 2: a string of in Type which comes from (this part is missing in Type );
-
•
Part 3: the entries come from ;
-
•
Part 4: the entries come from .
It is possible that any of part 1, 3, 4 may not appear in .
Assuming that has length , we define as the determinant
if is of Type , and
if is of Type . If some parts do not appear in , then the corresponding columns will be omitted in the determinant.
Lemma 5.19.
Let be as given in equation (5.18).
-
(i)
The element of is a highest weight vector and a weight vector.
-
(ii)
If is of Type or Type , then is also a highest weight vector.
-
(iii)
The leading ordered monomial of is given by
(5.20) (We assume that there is a total of entries which come from Part 1 and Part 2 of .)
Proof.
Part (i) and part (ii) are clear. For part (iii), since and , we obtain by inspection that is equal to the product of the diagonal entries, which is the ordered monomial given in equation (5.20). ∎
We now define the element in by
(5.21) |
We also define the ordered monomial as follows: For each box in , shall denote the row in which the box lies and shall denote the number in the box . Then is the ordered monomial associated with
(5.22) |
Note that encodes all the information about .
Example 5.23.
and
We will see later that for , is a weight vector in . To specify the weight of , we shall adopt the following notation: Since , any linear functional of can be identified with a linear functional
of (defined in equation (3.7)) where , and are some linear functionals of , and respectively.
Lemma 5.24.
Let . Then we have the following:
-
(i)
is a highest weight vector of weight and a weight vector of weight .
-
(ii)
.
Proof.
Corollary 5.25.
Let and
Then is a linearly independent set of weight vectors in with weight .
Proof.
By Lemma 5.24, the elements of have distinct leading monomials. Hence, is linearly independent. ∎
In the remainder of this section, we shall discuss cases when yields highest weight vectors.
5.5. The highest weight vectors in
In this subsection, we assume that . In the notation of Section 3.1, we have
In particular, is a Lie algebra. The algebra is a module for and can be decomposed as
where
Note that the component of reduces to in this case.
Theorem 5.26.
-
(i)
If , then the set
is a basis for .
-
(ii)
For and , the set
is a basis for the space of highest weight vectors of weight in .
-
(iii)
The set
is a basis for .
Proof.
Let , and . We recall the definition of as given in equation (5.21) and assume that the tableau has columns. Since , . Consequently, for each , the column tableau is of Type and so by Part (ii) of Lemma 5.18, is a highest weight vector. Hence, is a product of highest weight vectors, and it is also a highest weight vector. It follows that . This proves that .
Since and by Corollary 5.25, is linearly independent, it is a basis for . This proves (i).
As explained in the proof of Proposition 3.9, can be identified with the space of highest weight vectors of weight in . By taking union over all possible , we obtain all the highest weight vectors of weight in . This gives (ii).
Finally, (iii) follows from (i) and equation (3.10). ∎
5.6. A basis for
We now consider the case with and will use the notation defined in §3.4. In particular, we recall that in this case, . For , let
where the union is taken over all Young diagram , and
that is, consists of all ordered pairs of tableaux such that is semistandard tableau of shape and is a semistandard tableau of skew shape . Then we have where is defined in equation (3.33). For , let be the tableau of shape such that:
-
(i)
.
-
(ii)
.
Remark 5.27.
We now fix and construct an element of using a procedure similar to that given in §5.4. Let and assuming that , are all the columns of counted from left to right. Let and consider the th column of . We divide into a maximum of parts as follows:
where the entries come from and the entries come from . Let be the determinant
where . Then is defined as
Corollary 5.28.
Let .
- (i)
-
(ii)
The set
is a basis for (which is identified with the subspace of ).
-
(iii)
The set
is a basis for .
5.7. The highest weight vectors in
In this final subsection, we consider the case . In this case, we have and . The algebra is a module for and can be decomposed as
where
Theorem 5.30.
-
(i)
If , then the set
is a basis for , which can be identified with the space of all highest weight vectors in of weight .
-
(ii)
For and , the set
is a basis for the space of all highest weight vectors of weight in .
-
(iii)
The set
is a basis for .
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