Abstract
In a preceding paper the theory of nonsymmetric Macdonald polynomials taking values in modules of the Hecke algebra of type A (Dunkl and Luque SLC 2012) was applied to such modules consisting of polynomials in anti-commuting variables, to define nonsymmetric Macdonald superpolynomials. These polynomials depend on two parameters and are defined by means of a Yang–Baxter graph. The present paper determines the values of a subclass of the polynomials at the special points or . The arguments use induction on the degree and computations with products of generators of the Hecke algebra. The resulting formulas involve -hook products. Evaluations are also found for Macdonald superpolynomials having restricted symmetry and antisymmetry properties.
MSC:
33D52; 20C08; 05E05
1. Introduction
In the prequel [1] of this paper we defined a representation of the Hecke algebra of type A on spaces of superpolynomials. By using the theory of vector-valued nonsymmetric Macdonald polynomials developed by Luque and the author [2] we constructed nonsymmetric Macdonald superpolynomials. The basic theory including Cherednik operators, the Yang–Baxter graph method for computing the Macdonald superpolynomials, and norm formulas were described. The norm refers to an inner product with respect to which the generators of the Hecke algebra are self-adjoint. The theory relies on relating the Young tableaux approach to irreducible Hecke algebra modules to polynomials in anti-commuting variables. Furthermore, that paper showed how to produce symmetric and anti-symmetric Macdonald superpolynomials, and their norms, by use of the technique of Baker and Forrester [3]. In the present paper, we consider the evaluation of the polynomials at certain special points. The class of polynomials which lead to attractive formulas in pure product form is relatively small. These values are expressed by shifted q-factorials, both ordinary (positive integer labeled) and the type labeled by partitions, and -hook products.
In Section 2, one finds the necessary background on the Hecke algebra of type A and its representations on polynomials in anti-commuting (fermionic) variables and on superpolynomials which combine commuting (bosonic) and anti-commuting variables. This section also defines the Cherednik operators, a pairwise commuting set, whose simultaneous eigenvectors are called nonsymmetric Macdonald superpolynomials. They are constructed starting from degree zero by means of the Yang–Baxter graph. The necessary details from [1] are briefly given. Section 3 presents the main results with proofs about the evaluations; there are two types with similar arguments. The methods rely on steps in the graph to determine the values starting from degree zero. Some of the arguments are fairly technical computations using products of generators of the Hecke algebra. The definition of -hook products and their use in the evaluation formulas are presented in Section 4. The evaluations are extended to Macdonald polynomials, of the types studied in the previous sections, with restricted symmetry and antisymmetry properties in Section 4. The conclusion and ideas for further investigations in Section 6 conclude the paper.
2. Background
2.1. The Hecke Algebra
The Hecke algebra of type with parameter t is the associative algebra over an extension field of , generated by subject to the braid relations
and the quadratic relations
where t is a generic parameter (this means for , and ). The quadratic relation implies . There is a commutative set of Jucys–Murphy elements in defined by for , that is,
Simultaneous eigenvectors of form bases of irreducible representations of the algebra. The symmetric group is the group of permutations of and is generated by the simple reflections (adjacent transpositions) , where interchanges and fixes the other points (the satisfy the braid relations and ).
2.2. Fermionic Polynomials
Consider polynomials in N anti-commuting (fermionic) variables . They satisfy and for . The basis for these polynomials consists of monomials labeled by subsets of :
The polynomials have coefficients in an extension field of with transcendental , or generic satisfying for and .
Definition 1.
and for . The fermionic degree of is .
This is a brief description of the action of on : suppose implies , and implies : then
Then satisfy the braid and quadratic relations.
There are two degree-changing linear maps which commute with the Hecke algebra action.
Definition 2.
{{For set and}} for , set . Define the operators and by and for , while for (also implies and ). Define and .
It is clear that . For let .
Proposition 1.
M and D commute with for and
The spaces and are irreducible -modules and are isomorphic under the map and are of isotype .The representations of occurring in this paper correspond to reverse standard Young tableaus (RSYT) of hook shape (see Dipper and James [4] for details of the representation theory) These are labeled by partitions of N and are graphically described by Ferrers diagrams: boxes at . The numbers are entered in the boxes in decreasing order in the row and in the column. For a given RSYT Y let be the entry at and define the content . The vector is called the content vector of Y. It defines Y uniquely (trivially true for hook tableaux). The representation of is defined on the span of the RSYT’s of shape in such a way that for . We use a space-saving way of displaying an RSYT in two rows, with the second row consisting of the entries .. Note that always.
As example let
and .
We showed [1] that is a direct sum of the -modules corresponding to and ; and , respectively.
2.3. The Module
The basis of is described as follows: Let and for let . Associate E to the RSYT which contains the elements of E in decreasing order in column 1, that is, , and the elements of in . In the example with . The content vector of E is defined by . For each there is a polynomial such that for , and if then . In particular if then (and this is one of the two cases that are used here). For example, suppose then
, and .
2.4. The Module
The basis of is described as follows: Let and for let . Associate F to the RSYT which contains the elements of F in decreasing order in column 1, that is, , and the elements of in . In the example (4) with . As before the content vector of F is defined by . For each there is a polynomial such that for , and if then . Note that implies and the maximum value occurs at . This case is the second of those to be studied here. For this set . As example let then
, and .
2.5. Superpolynomials
We extend the polynomials in by adjoining N commuting variables (that is for all ). Each polynomial is a sum of monomials where and . The partitions in are denoted by ( if and only if ). The fermionic degree of this monomial is and the bosonic degree is . The symmetric group acts on the variables by and on exponents by for (consider x as a row vector, as a column vector and w as a permutation matrix, , then and ). Thus, . Let . Then using the decomposition let
The Hecke algebra is represented on . This allows us to apply the theory of nonsymmetric Macdonald polynomials taking values in -modules (see [2]).
Definition 3.
Suppose and then set
Note that acts on the variables according to Formula (3).
Definition 4.
Let and for and
The operators are Cherednik operators, defined by Baker and Forrester [5] (see Braverman et al. [6] for the significance of these operators in double affine Hecke algebras). They mutually commute (the proof in the vector-valued situation is in [2] [Thm. 3.8]). The simultaneous eigenfunctions are called nonsymmetric Macdonald polynomials. They have a triangularity property with respect to the partial order ⊳ on the compositions , which is derived from the dominance order:
The rank function on compositions is involved in the formula for an NSMP.
Definition 5.
For
then and (that is, ).
A consequence is that , the nonincreasing rearrangement of , for any , and if and only if .
Theorem 1
([2] (Thm. 4.12)). Suppose and , then there exists a -simultaneous eigenfunction
where and its coefficients are rational functions of . Furthermore, where for The exponents and .
The applications in the present paper require formulas for the transformation (called a step) when :
and for the affine step:
Two other key relations are implies and implies .
3. Evaluations and Steps
We consider two types of evaluations: (0) , , with for , and ; (1) , , with for , and .
Definition 6.
Let , . Let , .
Conceptually the two derivations are very much alike, but there are differences involving signs and powers of t that need careful attention. We begin by expressing and in terms of and . Since we are concerned with evaluations the following is used throughout:
Definition 7.
For a fixed point and let . In particular if then let for . If then and .
In terms of b the evaluation formula for is
The following are used repeatedly in the sequel.
Lemma 1.
Suppose for some there is a polynomial and a point y such that and then .
Proof.
By hypothesis and thus . Then . □
Lemma 2.
Suppose for some there is a polynomial and a point y such that and then .
Proof.
By hypothesis and thus . Then . □
In type (0) for which implies for .
Lemma 3.
Suppose is of type (0) and for then for some constant depending on x, and for .
Proof.
From and Lemma 1 it follows that for . Thus, for , and this implies is a multiple of (the contents determine uniquely). Furthermore for (since are in the same row of ). □
Proposition 2.
Suppose and (implying and then
Proof.
The following products are used to relate to .
Definition 8.
Let . Suppose and and then
Note that the argument of is and there are factors, where
Lemma 4.
If then .
Proof.
The only factor that appears in but not in is . □
For the special case type (0) we find and
Proposition 3.
Suppose then and
Proof.
By Lemma 3 is a multiple of . For the product formula argue by induction on . If then . If then
□
In type (1) for which implies for .
Lemma 5.
Suppose is of type (1) and for then for some constant depending on x, and for .
Proof.
From and Lemma 2 it follows that for . Thus, for , and this implies is a multiple of (the contents determine uniquely). Thus, for (since are in the same column of ). □
Proposition 4.
Suppose and (so that and z = then
Proof.
Proposition 5.
Suppose then and
Proof.
By Lemma 5 is a multiple of . For the product formula argue by induction on . If then . If then
□
We will use induction on the last nonzero part of to derive . Suppose and for where in type (0) and in type (1). Define compositions in by
where in type (0) and in type (1). The transitions from and from use Propositions 3 and 5. The affine step and the steps require technical computations.
Proposition 6.
Suppose and are given by (9) then
Proof.
The spectral vector of has for while and for . The product is □
Proposition 7.
Suppose and δ is as in (10) then
Proof.
The relevant part of is for and . Thus
and this product telescopes. □
Proposition 8.
Suppose and are given by (9) then
Proof.
The spectral vector of has for while and for . Furthermore, . Then
Combine this with . □
Proposition 9.
Suppose and δ is as in (10) then
Proof.
The relevant part of is for and . Thus
and this product telescopes to . The use of completes the proof. □
The methods used in these calculations are similar to those used in [7] for evaluations of scalar valued Macdonald polynomials, however the following computations (from to ) are significantly different.
Each of the remaining transitions is calculated in its own subsection. The following two lemmas will be used in both types. Recall for any i.
Lemma 6.
Suppose and then
Proof.
From we get
thus
□
The next formula is a modified braid relation.
Lemma 7.
Suppose or then
Proof.
Expand
which is symmetric in since . If and then . □
3.1. From to for Type (0)
In this section, we will prove . Start with (where for and otherwise). Let and for (so that in (9)). Abbreviate . If then . Set for , then
To start set and (thus )
Two series of points are used in the calculation: Define , , for ; define for . Thus
Lemma 8.
Suppose and then = and for .
Proof.
This follows from
with so that , and with . If then . □
Proposition 10.
For
Proof.
Then satisfies the hypotheses of Lemma 8 for and
Proposition 11.
.
Proof.
Set in (13). To complete the proof we need to show
By construction and for . This implies and for . Let then for This property defines up to a multiplicative constant, and thus (because satisfies for and thus ). To set up an inductive argument let and set for . Then if or , and . Claim that
The first step is . Note for . Suppose the formula is true for some , then
This proves the formula. Set then . By definition
and so . Now . Thus
because . □
Next we consider the transition from to (see (9)) with the affine step (recall ). To get around the problem of evaluation at the q-shifted point we use thus
where . From the previous formula we see that we need to evaluate the right hand side at and apply . Since for it follows that for .
Definition 9.
Let and for .
The corresponding evaluation formula is
Proposition 12.
Suppose then
Proof.
From for it follows that if . By (20) . Suppose then satisfies for so that and , is a multiple of and . Thus, and this holds for . □
Recall the points given by for . Define for . By the braid relations
These products are used in the proofs:
If then commutes with .
Lemma 9.
Suppose for and for then
Proof.
Let then and . Thus
Repeated application of this relation shows = . □
If then and .
Proposition 13.
For
Proof.
Proceed by induction. By (11)
and . Thus, the formula is valid for (with ). Suppose it holds for some , then and
Combine with formula (22) to obtain
For the part in (23) thus
Proposition 14.
.
Proof.
Set in (22) thus
By Lemma 9 . Furthermore
and thus and by Lemma 1 for . This implies . However, and this is proved by an argument like the one used in Proposition 11. Let and set for . Claim
The first step is
Suppose the formula is true for some then
and this is the formula for . Then and , and thus and . As in Proposition 11 this implies , and this completes the proof. □
3.2. Evaluation Formula for Type (0)
Recall the intermediate steps:
Proposition 15.
Suppose satisfies and for with then
where for and .
Proof.
The leading factors are . □
Corollary 1.
Suppose λ is as in the Proposition and satisfies for and then
Proof.
This uses
with . □
This formula can now be multiplied out over k, starting with , where .
Theorem 2.
Suppose then
where and .
Proof.
For define by for and for . Formula (25) gives the value of . For fixed the products contribute
to (the product telescopes). Each pair with contributes . If then and thus k can be replaced by in the above formulas. The exponents on follow easily from . □
Remark 1.
Recall the leading term of , namely , where . By using for one finds that so that and .
There is a generalized -Pochhammer symbol
and the k-product in (27) can be written as . In a later section we will use a hook product formulation which incorporates a formula for .
3.3. From to for Type (1)
To adapt the results for type (0) to type (1) it almost suffices to interchange and replace t by . However, there are signs and powers of t, and different formulas involving to worry about. The interchange occurs often enough to get a symbol:
Definition 10.
Suppose is a function of (possibly also depending on λ or α) then set
We will reuse some notations involving and so forth, with modified definitions (but conceptually the same). In this section, we will prove = . Start with (where for and otherwise). Let and for (so that in (9)). Abbreviate . If then . Set for , then
These are analogs of the type (0) definitions, with :
In more detail
Recall for . (The proof of the following is mostly the same as that for Proposition 10 except for signs and powers of t.)
Proposition 16.
For
Proof.
The transformation from to is in (28). Specialize to and so that , , and
From the spectral vector of it follows that for and . Thus, = and
Then appears in the expression for with factor
and with factor and the two cancel out (). This proves the inductive step. □
Proposition 17.
.
Proof.
Set in (30). Claim . From and for it follows that for . This implies for some constant (similarly to the argument in Proposition 11 satisfies for implying ). Let and then define for . Use induction to show
The start is
Assume the formula is true for some then
(because ). Thus, and □
Next we consider the transition from to (see (9)) with the affine step and as before the calculation is based on the formula
where . From the previous formula we see that we need to evaluate . Since for it follows that for .
Definition 11.
Let and for .
Proposition 18.
Suppose then
Proof.
From for it follows that if . By (20) . Suppose then satisfies for so that and , is a multiple of and . Thus, and this holds for . □
Similarly to the type (0) computations let
Lemma 10.
Suppose for and for then
Proof.
Let then and . Thus
Repeated application of this formula shows
□
Proposition 19.
For
Proof.
Proceed by induction. By (11)
and . Thus, the formula is valid for (with ). Suppose it holds for some , then and
For the second line (32) thus
Proposition 20.
.
Proof.
Now thus satisfies the hypothesis of Lemma 10 with and
Since and for it follows that for the same i values and hence (with because lie in the same row of ). Take and then
because . Continue this process to obtain
thus because . Thus, = . □
3.4. Evaluation Formula for Type (1)
Recall the intermediate steps:
Proposition 21.
Suppose satisfies and for with then
where for and .
Proof.
The leading factors are , since and . □
Corollary 2.
Suppose λ is as in the Proposition and satisfies for and then
Proof.
This uses formula (26). □
This formula can now be multiplied out over k, starting with , where .
Theorem 3.
Suppose then
where and .
Proof.
This is the same argument used in Theorem 2 by the application of . □
Remark 2.
Recall the leading term of , namely , where . By using for one finds that so that and .
4. Hook Product Formulation
Recall the definition of the -hook product
where and , where the length of is . The terminology refers to the Ferrers diagram of which consists of boxes at .
Proposition 22.
Suppose and for some fixed then
Proof.
The argument is by implicit induction on the last box to be added to the Ferrers diagram of . Suppose for and . Define by for all i except . Denote the product on the left side of (35) by , then
the j-product telescopes. Adjoining a box at to the diagram of causes these changes: for , for . The calculation also uses ; . Thus
because the change in the product for row is
Denote the second product in (35) by then
Hence To start the induction let , then , while and . This completes the proof. □
Note that (the generalized -Pochhammer symbol). Setting in the Proposition leads to another formulation:
Theorem 4.
Suppose then
The same method can be applied to by using (Definition 10).
Theorem 5.
Suppose then
There is a modified definition of leg-length for arbitrary compositions :
Suppose then
from [2] [p.15,Prop. 5] (the argument relates to the box at in the Ferrers diagram of and the change in its leg-length) so that
Suppose then from (see Proposition (3)) and (27) we obtain
There is a slight complication for type (1)
Thus, , and
We have shown that the values of certain Macdonald superpolynomials at special points or are products of linear factors of the form where and .
5. Restricted Symmetrization and Antisymmetrization
A type of symmetric Macdonald superpolynomial has been investigated by Blondeau et al. [8]. The operators used in their work to define Macdonald polynomials are significantly different from ours. There are results on evaluations for these polynomials found by González and Lapointe [9]. In this section, we consider symmetrization over a subset of the coordinates, and associated evaluations.
Fix and consider the sum satisfying for . In this section, we determine . Similarly fix and consider the sum satisfying for , then evaluate .
Lemma 11.
Suppose and for some i. Let and let . If then and if then
Proof.
The general transformation rules are given in matrix form with respect to the basis
One directly verifies that,
□
Definition 12.
For set .
Proposition 23.
Suppose then satisfies for .
Proof.
Fix i. If and then because and thus . Otherwise take and then set
by Lemma 4, and . By Lemma 11 . For each i the sum for splits into singletons ( and pairs . Each piece is annihilated by . □
There is now enough information on hand to find , since
This sum can be evaluated using the norm formula established in [1]. This formula applies to arbitrary and arbitrary sets , In the present context which uses only with the formula is used with N replaced by and the reverse of is replaced by
For define . For and let . The formula from [1] specializes to
Note that the multiplier is a type of t-multinomial symbol. It is straightforward to show
This product can be combined with the -product in (27) to show:
Furthermore, by (3)
Definition 13.
For let =
Lemma 3 applies to each in the sum for thus for .
Proposition 24.
is symmetric in y. In particular for any permutation u of (that is ).
Proof.
Suppose then
The latter is a polynomial identity (after multiplying by ) and thus holds for all , and hence . □
Next we consider asymmetric polynomials in type (1). Recall implies if and if .
Definition 14.
For set .
Proposition 25.
Suppose then satisfies for .
Proof.
Fix i. If and then because and thus . Otherwise take and then set
by Lemma 4, and . By Lemma 11 . For each i the sum for splits into singletons ( and pairs . Each piece is annihilated by . □
Similarly to the symmetric case we can determine since (by Proposition 5)
Formula (37) can be adapted to find the sum by applying and chasing powers of t (in for example). The typical term in is
and applying yields
with , the typical term in (after the interchange ). Thus
From and it follows that
Now let and consider
and the transformed
This results in
We find
and we have shown
Similarly to type (0) this formula can be further developed:
Thus, (from Theorem 3)
Definition 15.
For let =
Lemma 5 applies to each in the sum for thus for .
Proposition 26.
is symmetric in y. In particular for any permutation u of (that is ).
Proof.
Suppose then
The latter is a polynomial identity (after multiplying by ) and thus holds for all , and hence . □
6. Conclusions and Future Directions
In the context of Macdonald polynomials, “evaluation” refers to finding a closed form consisting of a product of linear factors for the value of a polynomial at a certain point. The polynomials are sums of monomials whose coefficients are rational functions of . The linear factors are of the form where and . Any ordinary (scalar-valued) nonsymmetric Macdonald polynomial does have an evaluation formula at the point (see [7] [Prop. 5]) (this is a multi-variable analog of the value of a Gegenbauer polynomial at ). However, in the vector-valued case, computational experiments suggest that there are no generally applicable formulas of this type. In the present paper we established evaluations of a relatively restricted class of nonsymmetric polynomials at special points. The labels of the Macdonald polynomials have only two possibilities out of many, for the isotype .
There are other possible evaluations that deserve to be investigated: these relate to singular polynomials. This refers to the situation where the parameters satisfy a relation like and a polynomial satisfies for The Jucys–Murphy operators on are defined in terms of (see (5)): for . Of course, finding these singular parameters is already a research problem by itself. For small N and degree we can find some examples (with computer algebra) and test evaluations. It appears there are interesting results to find.
Consider and (of isotype ). The spectral vector of is . Let
The polynomial is singular for and
Similarly is singular at ; its spectral vector is and for
As well is singular at ; its spectral vector is and for
For an example with higher degree consider and (the isotype is ) Then and is singular for At we find
We would expect an evaluation formula involving the elements of the spectral vector for which and with as many free variables as nonzero elements of . There is a nice necessary condition for a singular value: the t-exponents of the specialized spectral vector have to agree with the content vector of an RSYT. For example, set in with the result , and is the content vector of
Then with can not be singular at : the spectral vector and is not the content vector of any RSYT.
There are interesting results dealing with singular Macdonald superpolynomials waiting to be found.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The author declares no conflict of interest.
References
- Dunkl, C.F. Nonsymmetric Macdonald superpolynomials. arXiv 2020, arXiv:2011.05886. [Google Scholar]
- Dunkl, C.F.; Luque, J.-G. Vector valued Macdonald polynomials. Sém. Lothar. Combin. 2012, B66b, 68. [Google Scholar]
- Baker, T.H.; Forrester, P.J. Symmetric Jack polynomials from non-symmetric theory. Ann. Comb. 1999, 3, 159–170. [Google Scholar] [CrossRef]
- Dipper, R.; James, G. Representations of Hecke algebras of general linear groups. Proc. Lond. Math. Soc. 1986, 52, 2–52. [Google Scholar] [CrossRef]
- Baker, T.H.; Forrester, P.J. A q-analogue of the type A Dunkl operator and integral kernel. Int. Math. Res. Notices 1997, 14, 667–686. [Google Scholar] [CrossRef]
- Braverman, A.; Etingof, P.; Finkelberg, M. Cyclotomic double affine Hecke algebras. Ann. Sci. L’Ecole Norm. Super. 2020, 53, 1249–1314. [Google Scholar] [CrossRef]
- Dunkl, C.F.; Luque, J.-G. Clustering properties of rectangular Macdonald polynomials. Ann. Inst. Henri Poincaré Comb. Phys. Interact. 2015, 2, 263–307. [Google Scholar] [CrossRef]
- Blondeau-Fournier, O.; Desrosiers, P.; Lapointe, L.; Mathieu, P. Macdonald polynomials in superspace as eigenfunctions of commuting operators. J. Combin. 2012, 3, 495–561. [Google Scholar] [CrossRef]
- González, C.; Lapointe, L. The norm and the evaluation of the Macdonald polynomials in superspace. Eur. J. Combin. 2020, 83, 103018. [Google Scholar] [CrossRef]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).