Monomial bases and branching rules
Alexander Molev, Oksana Yakimova

TL;DR
This paper develops a method for constructing monomial bases for representations of reductive Lie algebras, connecting these bases to classical bases like Gelfand-Tsetlin and Littelmann, and applying them to specific Lie types.
Contribution
It introduces a new approach to construct monomial bases for multiplicity spaces in Lie algebra representations, linking them to existing bases and extending their properties.
Findings
Constructed monomial bases for representations of general linear and symplectic Lie algebras.
Established triangular transition matrices connecting new bases with Gelfand-Tsetlin and Littelmann bases.
Demonstrated the basis properties extend to classical types A and C.
Abstract
Following a question of Vinberg, a general method to construct monomial bases for finite-dimensional irreducible representations of a reductive Lie algebra was developed in a series of papers by Feigin, Fourier, and Littelmann. Relying on this method, we construct monomial bases of multiplicity spaces associated with the restriction of the representation to a reductive subalgebra. As an application, we produce monomial bases for representations of the general linear and symplectic Lie algebras associated with natural chains of subalgebras. We also show that our basis in type A is related to both the Gelfand-Tsetlin basis and the Littelmann basis via triangular transition matrices which implies that the triangularity property extends to the matrix connecting the Gelfand-Tsetlin and canonical bases. A similar relationship holds between our basis in type C and a suitably modified versionā¦
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November 3, 2019
Monomial bases and branching rules
Alexander Molev
School of Mathematics and Statistics, University of Sydney, NSW 2006, Australia
Ā andĀ
Oksana Yakimova
UniversitƤt zu Kƶln, Mathematisches Institut, Weyertal 86-90, 50931 Kƶln, Deutschland
[email protected] Institut für Mathematik, Friedrich-Schiller-Universität Jena, Jena, 07737, Deutschland
Abstract.
Following a question of Vinberg, a general method to construct monomial bases in finite-dimensional irreducible representations of a reductive Lie algebra was developed in a series of papers by Feigin, Fourier, and Littelmann. Relying on this method, we construct monomial bases of multiplicity spaces associated with the restriction of the representation to a reductive subalgebra . As an application, we produce new monomial bases for representations of the symplectic Lie algebra associated with a natural chain of subalgebras. One of our bases is related via a triangular transition matrix to a suitably modified version of the basis constructed earlier by the first author. In type A, our approach shows that the GelfandāTsetlin basis and the canonical basis of Lusztig have a common PBW-parameterisation. This implies that the transition matrix between them is triangular. We show also that a similar relationship holds for the GelfandāTsetlin and the Littelmann bases in type A.
The second author is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) ā project numbers 330450448, 404144169.
Introduction
A general method to construct monomial bases in finite-dimensional irreducible representations of a reductive Lie algebra has been developed in a series of papers by E.Ā Feigin, G.Ā Fourier, and P.Ā LittelmannĀ [7, 8, 9] following a question and initial examples of E.Ā Vinberg. In accordance with this method, one chooses a triangular decomposition and a basis of the nilpotent Lie algebra consisting of root vectors. Let be a finite-dimensional irreducible -module and let be a highest weight vector. By introducing special orderings on monomials in the basis elements it is possible to specify conditions on the powers so that the vectors
[TABLE]
form a basis of . Such conditions are given in an explicit form for types A and C in [7] and [8], respectively. A unified approach is presented in [9].
One of the features of the initial solutions [7, 8] is that a homogeneous order on the monomials was used, which means that the degrees are compared first. In such a setup, the sequence of factors is not significant. By now there is a tremendous development in the area, with both geometric and combinatorial applications, and numerous variations have been studied, see e.g. [4, 6] and references therein. Of particular interesest and importance are connections with the Littelmann bases [14] and with the PBW-type versions of the canonical basis of Lusztig [15, 16], see [6, Sect.Ā 11&12].
Our goal in this paper is to adjust the FFLV method to construct bases of the multiplicity spaces associated with the restriction of to a reductive subalgebra . Given a finite-dimensional irreducible -module , the corresponding multiplicity space is defined by
[TABLE]
Note that is isomorphic to the subspace of -highest weight vectors in of weight and we have a vector space decomposition
[TABLE]
Hence, if some bases of the spaces and are produced, then the decomposition (1) yields the natural tensor product basis of . The celebrated GelfandāTsetlin bases [10, 11] for representations of the general linear and orthogonal Lie algebras are obtained by iterating this procedure and applying it to the subalgebras of the chains
[TABLE]
The multiplicity spaces corresponding to the pairs of orthogonal and symplectic Lie algebras and turned out to carry representations of certain quantum algebras originally introduced by OlshanskiĀ [21] and which are known as twisted Yangians. The Yangian representation theory together with the theory of Mickelsson algebras developed in the work by ZhelobenkoĀ [23, 24, 25] have lead to a construction of bases of the GelfandāTsetlin type for representations of the orthogonal and symplectic Lie algebras; see review paperĀ [19] and book [20, Ch.Ā 9] for a detailed exposition of these results, as well as a discussion of various approaches to constructions of GelfandāTsetlin-type bases in the literature.
The Zhelobenko theory allows one to describe the multiplicity spaces corresponding to the pair as linear spans of lowering operators obtained via the action of the extremal projector associated with the Lie algebra . Our main general result provides precise choices of those operators to form a basis of . These choices are made in the spirit of the FFLV method and rely on some special monomial order. In more detail, we will assume that is a reductive subalgebra normalised by . Then inherits the triangular decomposition with and . Let be an -stable vector space decomposition. We describe a family of admissible monomials such that the elements form a basis of the multiplicity space .
In order to obtain a basis for inductively, it suffices to produce first a basis for a quotient of that is isomorphic to in some natural way. This idea is used in [14] and [12]. In the latter, an answer to Vinbergās question for the orthogonal Lie algebra is given. We formalise the method that can be called the āFFLV-branchingā in SectionĀ 1 and as an application produce a new answer to Vinbergās question in type C in SectionĀ 2.
Recall that finite-dimensional irreducible representations of are parameterised by their highest weights which are -tuples of complex numbers satisfying the conditions for all . Later on we will need to work simultaneously with irreducible highest weight representations of and . To avoid a confusion we will denote such representations of by while keeping the notation in the context of general complex reductive Lie algebras and in the particular case of the symplectic Lie algebras. Thus is generated by a nonzero vector such that
[TABLE]
where the denote the standard basis elements of . A GelfandāTsetlin pattern associated with is an array of row vectors
[TABLE]
where the upper row coincides with and the following conditions hold
[TABLE]
for each .
Let be the GelfandāTsetlin basis for , see SectionĀ 3 for its detailed description.
Theorem A**.**
Let be the set of vectors
[TABLE]
where runs over all GelfandāTsetlin patterns associated with . Then is a PBW-parameterisation of , i.e., there is an order on such that
[TABLE]
with and . In particular, is a basis for .
Theorem A is proven in SectionĀ 3 by essentially repeating the argument used by Zhelobenko in [23, TheoremĀ 7] and [24, LemmaĀ 2]. We also indicate briefly how it follows from the FFLV-theory.
The basis described in TheoremĀ A is not new. With a slightly different, but combinatorially equivalent, description it appeared in [22] as a PBW-parameterisation of the canonical basis of Lusztig [15, 16]. Therefore the theorem provides a link between the GelfandāTsetlin and the canonical bases, see CorollaryĀ 3.4. The same basis is described in [17, TheoremĀ 2.6].
We will regard the symplectic Lie algebra as a subalgebra of and we will number the rows and columns of matrices with the indices . Accordingly, the zero value will be omitted in the summation or product formulas. The Lie algebra is spanned by the elements with , defined by
[TABLE]
For any -tuple of nonpositive integers satisfying the conditions
[TABLE]
the finite-dimensional irreducible representation of the Lie algebra with the highest weight is generated by a nonzero vector such that
[TABLE]
Define a type C pattern associated with as an array of the form
[TABLE]
such that for , the remaining entries are all nonpositive integers and the following inequalities hold:
[TABLE]
for , and
[TABLE]
for .
Theorem B**.**
The vectors
[TABLE]
parameterised by all type C patterns associated with form a basis of .
The proof of TheoremĀ B is given in SectionĀ 2.1, it is derived from our general results on monomial bases of multiplicity spaces. In SectionĀ 2.2, we present another basis of with somewhat more complicated conditions on the exponents of the monomials, which can be extended inductively to a basis of . Furthermore, in SectionĀ 4, we produce a certain modified version of the basis of constructed in [18] and derive explicit formulas for the action of generators of the Lie algebra in this basis. Then we demonstrate in SectionĀ 5 that the bases and are related via a triangular transition matrix. This also gives another proof of Theorem B.
Acknowledgments. We are grateful to Arkady Berenstein, Xin Fang, Evgeny Feigin, Jacob Greenstein, Peter Littelmann, and Markus Reineke for useful discussions. A part of this paper was written during the second authorās visit to the University of Sydney. She would like to thank the School of Mathematics and Statistics for warm hospitality and support.
1. The FFLV approach to the branching problem
Let be a complex reductive Lie algebra and be an irreducible finite-dimensional -module. Fix a triangular decomposition . The Lie algebra has a standard basis consisting of root vectors . We choose a total monomial order on the monomials in this basis. Recall that a monomial order is a total order satisfying the following two conditions:
for each monomial ,
if and , then ā;
i.e., a monomial order is compatible with multiplication. The order leads to a filtration on as follows. Let denote a highest weight vector. The enumeration of root vectors defines a sequence . Making use of this enumeration, or, equivalently, of this sequence, we identify with the product , which we denote by the same letter . In the expression , the symbol stands for an element of . A monomial is essential if does not lie in the linear span of with . Let denote the set of essential monomials related to . As was observed in [9], is a basis of by the very construction.
For any two finite-dimensional irreducible -modules and , one has the inclusion
[TABLE]
see [9, Prop.Ā 2.11]. The proof of that proposition works for any, not necessary homogeneous, monomial order. However, the authors remark in the proof that they are using a homogeneous order and therefore can assume that the root vectors commute. For completeness, we briefly outline the argument.
Suppose that is essential for and is essential for . Set in . As an element of , the monomial is equal to the product . Let be a highest weight vector of . Then we have
[TABLE]
From this one can conclude that .
The main novelty of our approach to the branching problem is that we combine the FFLV method with the more classical theory of Zhelobenko. In particular, the extremal projector will be playing a major role.
1.1. The extremal projector
Let be the set of positive roots of which is determined by the triangular decomposition so that (resp., ) is spanned by the root vectors (resp., ) with . Consider the -triples and assume that the roots are normalised to satisfy the condition . Set
[TABLE]
is the half sum of the positive roots. This expression is regarded as an element of the algebra of formal series of monomials
[TABLE]
with coefficients in the field of fractions of the commutative algebra . Choose a numbering of positive roots, . A total order on is said to be normal if either or for each pair of positive roots such that . Choose a normal order and set
[TABLE]
The element is independent of the choice of a normal order and is known as the extremal projector; see Asherova, Smirnov, and TolstoyĀ [1], [2]. A more detailed description of its properties can be found in the work by ZhelobenkoĀ [24, 25]. In particular, is characterised by the properties and
[TABLE]
1.2. The specifics of branching
A subalgebra is a reductive subalgebra if is reductive and the centre of consists of -semisimple elements.
Let be a reductive subalgebra normalised by . Then inherits the triangular decomposition, , where . In order to see the branching rules , we need a certain special monomial order. Let be the -stable decomposition. Write , where and . Having two monomials and , we first compare with and if , then . If , then we compare with . The order on the -factors is of no particular importance. When identifying with an element of , we take a monomial from .
Set and let be a monomial having our chosen sequence of factors. The most crucial restriction on the monomial order is that
[TABLE]
for each dominant weight and each . We will assume that it is satisfied. If and , then , where . Therefore (13) implies that
[TABLE]
for each dominant weight and each .
Lemma 1.1**.**
Suppose that . Then there is a natural way to guarantee that (13) is satisfied. Namely, one has to compare the -weights of first and say that if , then .
Proof.
We may assume that is a root vector corresponding to a positive root of . In this case the weight of is . By the assumptions on , , where the weight of each equals . Hence here as required. ā
Let be the extremal projector associated with . Set . Suppose that is a weight vector such that is well-defined. Then is equal to plus a finite linear combination of expressions
[TABLE]
where . By (14), we have
[TABLE]
whenever is well-defined (that is, the values of the denominators occurring in are not zero).
Recall that stands for the subpace of -highest weight vectors in of -weight .
Proposition 1.2**.**
Keep the above notation and the assumptions on the monomial order. Then is well-defined for each and the set of vectors
[TABLE]
is a basis of the subspace .
Proof.
One observes easily that is spanned by , where and the -weight of is dominant for . If , then by (12) and our assumption on the sequence of factors in . It remains to prove that the vectors in question are well-defined and linearly independent.
Assume that is not well-defined for some . Then the weight of is not dominant for . Let be an -triple such that is a simple root vector and for some . By the standard -theory, which includes classification of the finite-dimensional -modules, there is such that lies in up to an isomorphism. Therefore one can find elements such that
[TABLE]
Here each ā, and hence also each , lies in ā, see (14). Therefore is not essential for .
Assume finally that a non-trivial linear combination of with is equal to zero. Then by (15), the largest monomial appearing in it with a non-zero coefficient is not essential for . ā
The inclusion (11) justifies the following definition.
Definition 1.3**.**
The subset
[TABLE]
is called the branching semigroup of . Set also .
Note that the above objects depend on the basis of , on the monomial order, and on the sequence of factors in . A standard procedure for calculating is to consider first small values of , like the fundamental weights , obtain enough elements in , and then compare the cardinality with the dimension of . However, this approach can produce a description of only if the semigroup is finitely generated. It is conjectured in [6] that is always finitely generated in our context as well as in a less restrictive one considered there. Partial positive results in this direction are obtained in [6, Sect.Ā 12].
Example 1.4*.*
As we will see below, the semigroup is generated by the pairs with and .
1.3. Inductive bases for
Next we show how branching rules lead to constructions of FFLV-type bases.
Proposition 1.5**.**
We have if and only if and , where is the weight of w.r.t. .
Proof.
Suppose first that . If is not essential for , then
[TABLE]
for some , some monomials and , and for all . In this case for each and hence is not essential, a contradiction.
If , then
[TABLE]
for some , some monomials , and we have for each . Since is the leading term of by (15), we conclude that is not essential, a contradiction.
Now we know that
[TABLE]
Since also , we can conclude that each product , where and are essential for and , respectively, is essential for . This completes the proof. ā
Remark 1.6*.*
One can also give a direct proof for the inclusion avoiding dimension reasons.
1.4. The GelfandāTsetlin order in type A
Here we show how effortlessly the FFLV method leads to a construction of the basis described in TheoremĀ A.
Take and that is the span of with . Then is the linear span of with . Note that . Hence the sequence of factors in is of no significance. The -weights of with are linearly independent. If and , then . The branching is multiplicity free, which is the key point of [10]. Given a highest weight such that , there is a unique way to write the corresponding , which exists by PropositionĀ 1.2. Since the branching rules are well-known, the description of results from PropositionĀ 1.2 immediately. Write with for .
Corollary 1.7**.**
For each monomial order satisfying the assumptions of SectionĀ 1.2,
[TABLE]
Hence, the semigroup is generated by the sets with together with the -dimensional representations of .
The central elements of act on as scalars and any -dimensional representation of is trivial. Thereby the statement of ExampleĀ 1.4 follows from CorollaryĀ 1.7. For the sake of briefness, one says also that is generated by the fundamental weights or by .
An example of a suitable, i.e., satisfying (13), monomial order on is the lexicographical order on , which is also the right lexicographical order on the tuples .
The elements of can be parameterised by the GelfandāTsetlin patterns , as defined in (3). Each such corresponds to the monomial
[TABLE]
Arguing inductively with the use of PropositionĀ 1.5, we restrict further to , , and so on. Taking the sequence of factors
[TABLE]
in and the lexicographical order at each step we obtain the basis of TheoremĀ A. An alternative way to express this basis is to write
[TABLE]
This is the set of inequalities given in [22, Introduction]. The same inequalities are used in [3, Sect.Ā 6] for a description of a different, but related, basis.
The inductive argument shows also that the semigroup is generated by with .
The next example is crucial for the symplectic case.
Example 1.8*.*
Consider embedded as the middle -square. For elements of , we are using the following sequence of root vectors:
[TABLE]
The monomial order is given by the right lexicographical order on the tuples
[TABLE]
Here is equal to
[TABLE]
The branching semigroup is generated by 1-dimensional representations of and by the essential monomials of the fundamental weights. Record that
[TABLE]
If we replace with , then the 1-dimensional representations disappear from the generating set.
2. Symplectic branching rules
In this section we take and use the presentation of the symplectic Lie algebra defined in the Introduction. The subalgebra is spanned by the elements with . Let be the triangular decomposition, where is the Cartan subalgebra of with the basis , while the subalgebra (resp., ) is spanned by the elements with (resp., ). We have a vector space decomposition , where is a Heisenberg Lie algebra and is spanned by . The elements from different pairs , commute with each other and , where is a central element of . Note that .
2.1. The GelfandāTsetlin-type order in the symplectic case
We will describe a rather elaborate monomial order on suggested by the structure of the branching semigroup of ExampleĀ 1.8.
Definition 2.1**.**
Define a monomial order on by the following rule. The monomial
[TABLE]
given by is smaller than the monomial given by if and only if either for the -weights of these monomials or and in the lexicographical order.
Lemma 2.2**.**
Choose the sequence of factors in as in (2.1). Then the monomial order of DefinitionĀ 2.1 satisfies (13).
Proof.
Since , the statement follows from LemmaĀ 1.1. ā
Let be the branching semigroup of defined by the sequence of root vectors as in (2.1) and the monomial order of DefinitionĀ 2.1.
Theorem 2.3**.**
The semigroup is generated by the pairs , where is a fundamental weight and . Under a suitable identification, is defined by the same inequalities as the semigroup described in ExampleĀ 1.8.
Proof.
We use the bijection between the sets
[TABLE]
which takes to , the vector with to , and to . Using the same letters, , for the fundamental weights of both and , we identify also the highest weights of and . Then the standard branching theory assures that , see e.g. [19] and patterns in the Introduction. Since we have the property , see (11), it remains to show that the image of each is exactly . The latter is presented in (16). Let be a highest weight vector.
Take . Here . Notice that is a highest weight vector of and that is the smallest root vector in the monomial order. Therefore . This root vector is mapped to . It remains to take care of the second copy of the trivial representation, which one obtains by applying either or with to . The smallest monomial here is . Since is mapped to , we see that the image of is exactly .
Take next with . Here . The root vectors and are essential for . The root vector is not essential, because it can be replaced by , which is smaller. We have also if . Therefore, it remains to choose the smallest monomial among with . This is exactly . Thus the image of is .
Finally take , where we have . Note that is mapped to and to . This finishes the proof. ā
If a dominant weight of is presented by a tuple with as in the Introduction, cf. (5), then , for , we have , and . Consistently, we write with . Taking this into account and using bijections between the branching semigroups and the corresponding patterns (GelfandāTsetlin patterns and type C patterns), we obtain the following statement.
Corollary 2.4**.**
The vector space has a basis
[TABLE]
parameterised by the -tuples satisfying the betweenness conditions
[TABLE]
Going inductively through the chain of subalgebras
[TABLE]
and using PropositionĀ 1.5 at each step, we obtain the basis of TheoremĀ B. The chain defines also the branching semigroup , where the order of DefinitionĀ 2.1 and the sequence of factors (21) are used at each step.
Remark 2.5*.*
Arguing inductively, one can show that is generated by with . This implies that is saturated, i.e., for any and any dominant weight . In this situation, there is a nice toric degeneration of the complete flag variety in the spirit of [6, Sect.Ā 15] and [9, Sect.Ā 10].
2.2. A different, more natural, order
In this section, it is more convenient to use different indices for the matrix realisation of . Now is the linear span of with , where
[TABLE]
for , and for . The subalgebra is spanned by the elements with . We have .
This alternative presentation of requires a change in the convention for tuples . Now unlike the Introduction. Fix highest weights for and for , where we suppose also that . Assume that the multiplicity space is nonzero.
Set for and define the monomial by the rule:
[TABLE]
Now use a non-zero vector defined in formula [20, (9.69)], cf.Ā (410). We need the existence of this vector and the computation of its weight w.r.t. to . In the notation of this section, formula [20, (9.69)] leads to the following
[TABLE]
Hence, the -weight of coincides with that of the vector .
Remark 2.6*.*
If is an eigenvector of of the same weight as , then lies in . Thus and also , up to non-zero scalar factors.
We would like to find inequalities for such that the corresponding vectors
[TABLE]
form a basis of . For this purpose, the most natural monomial order on is suitable.
For a vector , set .
Definition 2.7**.**
We say that if and only if
either or and there is such that and
[TABLE]
A few remarks on the definition are due.
(1) Since we are comparing the degrees first, the sequence of factors of is not significant for being essential.
(2) Independently of the sequence of factors in , the chosen order satisfies (13). Therefore, by PropositionĀ 1.2, the subspace has a basis .
Lemma 2.8**.**
We have
[TABLE]
Proof.
The statements can be obtained by direct calculations. ā
The dimension of is the product of positive integers , where
[TABLE]
assuming that and ; see e.g. [19].
Consider the -triple . The subalgebra of spanned by this triple acts on as on . Moreover,
[TABLE]
is a highest weight vector of this representation and its -weight is equal to .
For a vector , where each is either or and are arbitrary, set
[TABLE]
This defines a vector , which depends on . Set and .
We have
[TABLE]
Set and for . Suppose that for some as above. It is not difficult to see then that and
[TABLE]
for each . Informally speaking, each in decreases by if . More formally, if , then and therefore . Thus, . Note that EquationĀ (25) defines the numbers for each vector as above.
The next step is to consider with .
Lemma 2.9**.**
Suppose that and . Then
[TABLE]
Proof.
Set . Then . As a representation of ā, it decomposes as . Since for each , we have . It remains to show that is essential. In the case , this follows form the inclusionĀ (11) and LemmaĀ 2.8. Therefore suppose that . Then as one of the numbers , , and , depending on and . In any case, is the disjoint union of three subsets, , the product , and the subset
[TABLE]
where and the -weight of is . Since , these two conditions on imply that for some .
First we show that . If , take . Let us regard as a subspace of , where is the underlying vector space of the defining representation of . Let be the standard basis of . Then is a highest weight vector of . Set . Then , where
[TABLE]
Here and for
[TABLE]
Thereby by (12), hence and is not essential for . We have shown that .
Assume that is not essential. Then lies in the linear span of smaller than essential monomials. Each such monomial is of the form , where has weight w.r.t. and . This is possible only for , , and .
The decomposition leads to a -invariant tri-grading on each . In the tensor product , the vector has non-zero summands of degrees
[TABLE]
The monomials and produce vectors of degrees
[TABLE]
This implies that the summand of degree , which is equal to
[TABLE]
is written as for some and . However, , where is of degree . This contradiction finishes the proof. ā
Proposition 2.10**.**
(i)* The defining inequalities for in terms of*
[TABLE]
are:
[TABLE]
(ii)* The semigroup is generated by and with and .*
Proof.
(i) The inequalities (26) are equivalent to , where is the -weight of . Each weight such that defines the tuple uniquely. Let be fixed.
Next we show that the number of tuples satisfying the inequalities (27)ā(29) is equal to . We argue by induction on . If , then there is just one inequality . There are possibilities for .
Suppose that . Then . Each admissible corresponds to the irreducible -submodule of of dimension . If is fixed, then there are exactly possibilities for . For , the number of tuples is correct.
Suppose now that and that for there is a bijection between the tuples satisfying the inequalities and the irreducible -submodules of
[TABLE]
such that the module corresponding to is of dimension
[TABLE]
The irreducible submodules of can be enumerated by integers such that
[TABLE]
We can arrange the submodules in such a way that the dimension decreases when increases. Then , or rather , corresponds to the summand of dimension
[TABLE]
This completes the inductive argument.
In the proof of part (ii) below, we show that each admissible tuple
[TABLE]
defines a monomial of . Hence by the dimension reasons, (i) holds.
(ii) For convenience, we will identify the monomials with the tuples of their exponents and use additive notation for , so that ; see (11).
Let with , be an admissible tuple. Recall that each belongs to a unique with . Set . In view of (25), we have . The inequalities (26) guarantee that is a dominant weight of . If , identified with , lies in , then
[TABLE]
Next we express as a sum of tuples belonging to sets and and show that indeed .
If all are zero, then and there is nothing to prove. Suppose next that only for . Then for all and only with is left. Here . The proof continues by induction on .
Let be the smallest integers such that . Note that . If all with are equal to zero, then , where . Again, such belongs to . Therefore assume that .
Let be the smallest integer such that . We divide our monomial by , which is an element of by LemmaĀ 2.9. Note that in case , we have . The division corresponds to replacing with , where for and . Accordingly, set . We have , where for and for . The next task is to see that the inequalities (27)ā(29) hold for and .
Consider (27). For , we have . If , then there is no . If , then and . Finally, . These inequalities hold.
Consider (28). For , we have . Clearly, the inequalities hold for all such . For the index , we have
[TABLE]
For , the new right hand side is equal to the old one. Since here, all the inequalities hold.
Finally, consider (29). We have
[TABLE]
Hence the inequality for holds.
Summing up, belongs to , because , and hence belongs to . ā
The perspective on taken in this section differs from the usual one. In order to obtain a basis, we have regarded as a direct sum of -modules instead of a tensor product. On the one side, this leads to a more complicated set of inequalities, on the other, we are getting one more basis.
Set , where is the extremal projector associated with and is the projector of as before. Let us restrict to .
Corollary 2.11**.**
The subspace has a basis
[TABLE]
i.e., we are taking the subset, where .
The chain of subalgebras (23) can be used in order to extend the basis of PropositionĀ 2.10 to a basis for .
3. Relations to the GelfandāTsetlin basis
We start by recalling a construction of the celebrated basis of Gelfand and TsetlinĀ [10] for each finite-dimensional irreducible representation of as defined in the Introduction. We refer the reader to the review paperĀ [19] where several such constructions are discussed. To be consistent with the notation of that paper we will now let denote the highest weight vector of (along with ).
Consider the extremal projector associated with the Lie algebra . Recall that the MickelssonāZhelobenko algebra is generated by the elements , and with ; see [19, Sect.Ā 2.3] for the definitions. The lowering operators are elements of the universal enveloping algebra which can be defined by the formulas
[TABLE]
where . By the branching rule, the restriction of to the subalgebra is isomorphic to the direct sum of irreducible -modules ,
[TABLE]
summed over the highest weights satisfying the betweenness conditions
[TABLE]
The -submodule in isomorphic to is generated by the vector
[TABLE]
In the next lemma we suppose that each of the highest weights and satisfies conditions (32) and we use the lexicographical ordering on such weights, where for complex numbers and we assume that if and only if .
Lemma 3.1**.**
For any given , in the module we have
[TABLE]
for a nonzero constant and some elements , where the sum is taken over the highest weights satisfying conditions (32).
Proof.
Starting from the rightmost generator which occurs in the product on the left hand side and proceeding to the left, we use the inversion formula
[TABLE]
summed over . Arguing by induction, observe that each generator with commutes with all factors so that the proof is completed by using (31) and taking into account the fact that the lowering operators pairwise commute. ā
The vectors of the GelfandāTsetlin basis of are parameterised by the patterns defined in the Introduction. They are found by the formula
[TABLE]
Represent each pattern associated with as the sequence of its rows:
[TABLE]
and consider the lexicographical ordering on the sequences by using the ordering on the highest weights introduced above. Recall the vectors defined in Theorem A. We now obtain a proof of this theorem.
Proposition 3.2**.**
For each pattern associated with , in the module we have
[TABLE]
*for some constants and , whereby . *
Proof.
Due to the inductive structure of the vectors (33), the proposition follows by a repeated application of LemmaĀ 3.1. ā
3.1. The PBW-parameterisation of the canonical basis
The canonical basis for constructed by Lusztig [15, 16] has a PBW-parameterisation, which fits into the FFLV-framework.
Let be a reduced decomposition of the longest element of the Weyl group. Define the sequence of positive roots by , where is the th simple root. Then for , see e.g. [6, Sect.Ā 12]. Let be the negative root vector corresponding to . Make use of the right opposite lexicographical order on the monomials , which means that if and only if there is such that and
[TABLE]
Use the same sequence of vectors for the elements of . Then the elements of the canonical basis for are in bijection with . Moreover, if the element of the canonical basis corresponds to , then
[TABLE]
see e.g. [6, Sect.Ā 12]. Note that we have omitted the āheight weighted function ā of [6] on the monomials, because it becomes redundant once one fixes a finite-dimensional module .
Let be the canonical basis of . Then the dual basis is good in the terminology of [3] by [16, TheoremĀ 4.4].
Example 3.3*.*
Let be of type An-1. Choose the decomposition . Then
[TABLE]
The right opposite lexicographical order satisfies the assumptions of SectionĀ 1.2 at each step of the reductions along the GelfandāTsetlin chain of subalgebras. Therefore, we get the basis described in TheoremĀ A. Note that this basis was obtained in [22] for the same as above.
Keep the assumption . By the weight considerations, we have
[TABLE]
for some .
Corollary 3.4**.**
For each dominant , the transition matrix between the canonical and the GelfandāTsetlin bases of is triangular.
Proof.
Let be a GelfandāTsetlin pattern associated with . Consider , where is the same as in TheoremĀ A.
If we use the right opposite lexicographical order as above, then (15) holds for all reduction steps along the GelfandāTsetlin chain of subalgebras. For each step, the analogue of (35) holds as well. Therefore is the leading term of . In view of (34), is also the leading term of . ā
Remark 3.5*.*
In the case the canonical basis is monomial [15, ExampleĀ 3.4]. Thereby this particular case of CorollaryĀ 3.4 follows by a simple calculation with the use of the GelfandāTsetlin formulas.
Proposition 3.6**.**
There is an enumeration of the elements such that the transition matrix between and is triangular.
Proof.
The dual basis is the GelfandāTsetlin basis of up to a permutation of its elements and multiplications by non-zero scalars. By CorollaryĀ 3.4, the transition matrix between and is triangular. Therefore and are related by a triangular matrix as well. ā
Outside type A, these PBW-type bases become less transparent, see e.g. [22].
Example 3.7*.*
Let be of type Cn. Choose the decomposition
[TABLE]
Then for and
[TABLE]
It is not difficult to see that such a choice produces a branching semigroup related to and that this semigroup is the same as in SectionĀ 2.2.
3.2. Monomials in simple root vectors
The bases of Littelmann [14] arise as different parameterisations of the canonical basis. His construction involves branching and produces a basis of by applying iterated negative simple root vectors to , see [14] and also [6, Sect.Ā 11] for a connection with the FFLV-method. In type A, the construction is most transparent [13], [14, Sect.Ā 5&10].
Set . The subspace is the linear span of vectors , where . Set . By the weight considerations,
[TABLE]
up to a non-zero scalar. In view of the equality
[TABLE]
we can conclude directly, without weight arguments, that
[TABLE]
A basis of is obtained inductively, omitting extremal projectors, so that the basis vectors have the form
[TABLE]
and are naturally parameterised by the GelfandāTsetlin patterns, see [14, CorollaryĀ 5]. In the notation of (3),
[TABLE]
Let be the leading term of in the monomial order used in SectionĀ 1.4. Combining (15) with (36), we see that and that again is the leading term of . Summing up,
[TABLE]
with a non-zero . Therefore, the transition matrices between all three bases are triangular.
Remark 3.8*.*
Relations between different monomial bases parameterising the canonical basis are studied in [5]. The fact that the bases and are related by a unitary matrix can be deduced from the results of that paper.
Remark 3.9*.*
Let be the lexicographical order on . Choose the enumeration of the basis vectors is such a way that the corresponding sequences
[TABLE]
see (37), are decreasing w.r.t the order . Then the transition matrix between and the canonical basis of is upper triangular and unipotent by [14, Prop.Ā 10.3]. Refining the above considerations, one can show that
[TABLE]
and thus produce a different proof of CorollaryĀ 3.4.
4. A GelfandāTsetlin-type basis for representations of
We now aim to prove an analogue of PropositionĀ 3.2 for the symplectic Lie algebra . The vectors defined in Theorem B turn out to be related to a certain modification of the basis of [18]. In this section we will rely on the exposition in [20, Ch.Ā 9] to produce this modification.
Given a type C pattern associated with , as defined in the Introduction, set
[TABLE]
Theorem 4.1**.**
The -module admits a basis parameterised by the type C patterns associated with such that the action of generators of in the basis is given by the formulas
[TABLE]
where
[TABLE]
and
[TABLE]
The arrays and are obtained from by replacing and by and respectively. The vector is considered to be zero if the array is not a pattern.
Proof.
The proof is not essentially different from that of [20, TheoremĀ 9.6.2], so we only point out some key steps and alternative choices made in the arguments.
Suppose that is an -highest weight. The multiplicity space is nonzero if and only if the components of and satisfy the inequalities
[TABLE]
When it is nonzero, the vector space carries an irreducible representation of the twisted Yangian . By [20, TheoremĀ 9.4.11], this representation is isomorphic to the tensor product,
[TABLE]
where
[TABLE]
assuming that and is understood as being equal to . Each factor is the highest weight -module which is extended to the evaluation module over the Yangian . The coproduct on the Yangian allows one to equip the tensor product in (43) with a -module structure. This module is then restricted to the subalgebra .
The required modification of the construction relies on [20, CorollaryĀ 4.3.5] which implies an alternative isomorphism
[TABLE]
Although the tensor products in (43) and (44) are isomorphic as -modules, they differ as -modules. As we shall see below, the use of the alternative isomorphism leads to a different basis of the multiplicity space .
The basis vectors of will be constructed with the use of the MickelssonāZhelobenko algebra . The lowering operators are elements of defined by
[TABLE]
where is the extremal projector for , and we set
[TABLE]
for all . One more lowering operator is defined by
[TABLE]
where and is the complement to the subset in the set . We will also need an interpolation polynomial with coefficients in the MickelssonāZhelobenko algebra given by
[TABLE]
where for all and we set . This polynomial is even in and has the properties
[TABLE]
and
[TABLE]
Recall that the dimension of the multiplicity space equals the number of -tuples of integers satisfying the betweenness conditions (22). Let us set
[TABLE]
The highest vector of the -module is given by the formula (it coincides with the vector in [20, (9.69)] up to a sign):
[TABLE]
so that following the proof of [20, TheoremĀ 9.5.1] and using the isomorphism (44) instead of (43), we find that the vectors
[TABLE]
with satisfying the betweenness conditions form a basis of . By repeating the argument of that proof, we can conclude that the vectors
[TABLE]
parameterised by the -tuples satisfying the betweenness conditions form a basis of the multiplicity space .
Taking into account the decomposition (1) and applying the same argument to the subalgebras of the chain (23), we obtain that the vectors
[TABLE]
parameterised by all patterns associated with form a basis of the representation of . The same calculations as in the proof of [20, TheoremĀ 9.6.2] allow one to get the formulas for the action of the generators of the Lie algebra in the basis and then write them in terms of the normalised basis vectors
[TABLE]
thus completing the proof. ā
Remark 4.2*.*
When written for the basis vectors , the matrix elements of the generators of provided by TheoremĀ 4.1 and those of [20, TheoremĀ 9.6.2] exhibit the following symmetry: the formal replacements together with and transform the matrix elements from one case to the other.
5. Connection between the monomial and GelfandāTsetlin-type bases
We will demonstrate that the transition matrix between the basis of the -module provided by Theorem B and the basis of TheoremĀ 4.1 is triangular.
Using the notation from the previous section, for each -tuple satisfying the betweenness conditions, introduce the vector by
[TABLE]
where we let denote the highest weight vector of . By a result of ZhelobenkoĀ [23, TheoremĀ 6.1], the vectors form a basis of . This fact will also follow from a relationship between the vectors and as described in the next lemma. We will consider the lexicographical orderings on the set of -tuples and on the set of -tuples .
Lemma 5.1**.**
For any we have the relation
[TABLE]
for some constants , and . In particular, the vectors form a basis of .
Proof.
Since commutes with the lowering operators , the vector (51) can be written as , where is the -tuple obtained from by replacing with [math]. On the other hand, by the formulas of TheoremĀ 4.1 for any we have
[TABLE]
A repeated application of this formula allows us to write as a linear combination of the basis vectors which clearly has the required form. ā
LemmaĀ 5.1 implies that the vectors
[TABLE]
parameterised by all type C patterns associated with form a basis of the representation .
Since the weight will now be varied, we will denote the vector (51) by . The following lemma is essentially a particular case of [23, TheoremĀ 7] or [24, LemmaĀ 2].
Lemma 5.2**.**
For any given pair satisfying the betweenness conditions, in the module we have
[TABLE]
for a nonzero constant and some elements , where the sum is taken over the pairs satisfying the betweenness conditions, and unless , or and .
Proof.
Write the product on the left hand side in the order
[TABLE]
Taking into account that for positive values of , start from the rightmost generator and proceed to the left by using the inversion formula [20, LemmaĀ 9.2.2] to replace with by the expression:
[TABLE]
summed over . Apply relation (45) to write the right hand side of the inversion formula in terms of the lowering operators . We will use the following property of these operators: and commute for ; see [20, PropositionĀ 9.2.5]. Let denote the subalgebra of spanned by the elements with . The same argument as in the proof of LemmaĀ 3.1 shows that
[TABLE]
for a nonzero constant and some elements , where . Now we will be applying the inversion formula for positive values of and note that each term with in the sum on the right hand side contains a generator with . However, such a generator commutes with all elements for . Therefore, all these terms with will only contribute to the sum on the right hand side of the expansion (53) within the summands of the form with .
On the other hand, for any element we have the relation
[TABLE]
for certain elements . Hence, considering the terms in the inversion formula with the property , we may conclude that nonzero summands on the right hand side of (53) of the form must have the property and is a nonzero constant. ā
Consider the vectors introduced in SectionĀ 4. They are parameterised by the type C patterns defined in the Introduction. Represent each pattern associated with as the sequence of the rows:
[TABLE]
where we set
[TABLE]
Introduce the lexicographical ordering on the sequences by using the lexicographical orderings on the vectors and . Recall the vectors defined in Theorem B. We can now obtain another proof of the theorem.
Proposition 5.3**.**
For each type C pattern associated with , in the module we have
[TABLE]
for some constants , and . In particular, is a basis of .
Proof.
We will use an induction on . Consider the part of the product defining the vector which corresponds to the value . By applying LemmaĀ 5.2 and using the induction hypothesis, we can write as a linear combination of the basis vectors defined in (52) so that it contains the vector with a nonzero coefficient, while the remaining vectors occurring in the linear combination have the property . It remains to expand the vectors as linear combinations of basis vectors by using LemmaĀ 5.1 which yields the expansion of with the required properties. ā
Remark 5.4*.*
The inversion formula can be used also for rewriting the basis of PropositionĀ 2.10 in terms of the lowering operators. Therefore the subspace has a basis
[TABLE]
where .
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