Abstract
For each partition of N, there are irreducible modules of the symmetric groups and of the corresponding Hecke algebra whose bases consist of the reverse standard Young tableaux of shape . There are associated spaces of nonsymmetric Jack and Macdonald polynomials taking values in these modules. The Jack polynomials form a special case of the polynomials constructed by Griffeth for the infinite family of complex reflection groups. The Macdonald polynomials were constructed by Luque and the author. For each of the groups and the Hecke algebra , there is a commutative set of Dunkl operators. The Jack and the Macdonald polynomials are parametrized by and , respectively. For certain values of these parameters (called singular values), there are polynomials annihilated by each Dunkl operator; these are called singular polynomials. This paper analyzes the singular polynomials whose leading term is , where S is an arbitrary reverse standard Young tableau of shape . The singular values depend on the properties of the edge of the Ferrers diagram of .
Keywords:
nonsymmetric Jack and Macdonald polynomials; singular values; Young tableaux; Hecke algebra MSC:
33C52; 05E10; 20C08; 33D52
1. Introduction
For each partition of N, there are irreducible modules of the symmetric groups and of the corresponding Hecke algebra , whose bases consist of the reverse standard Young tableaux of shape . There are associated spaces of nonsymmetric Jack and Macdonald polynomials taking values in these modules (in what follows, the polynomials are always of the nonsymmetric type). The Jack polynomials are a special case of those constructed by Griffeth [1] for the infinite family of complex reflection groups. The Macdonald polynomials were constructed by Luque and the author [2]. The polynomials are the simultaneous eigenfunctions of the Cherednik operators. The latter form a commutative set. For both the group and the Hecke algebra , there is a commutative set of Dunkl operators, which lower the degree of a homogeneous polynomial by one. The definitions of the two types look quite different.
The Jack and the Macdonald polynomials are parametrized by and , respectively. For certain values of the parameters (called singular values), there are polynomials annihilated by each Dunkl operator; these are called singular polynomials. The structure of the singular polynomials for the trivial module corresponding to the partition , that is the scalar polynomials, is more or less well understood by now. For the modules of dimension , the singular polynomials are mostly a mystery. In [3,4], we constructed special singular polynomials, which correspond to the minimum parameter values. To be specific, denote the longest hook-length in the Ferrers diagram of by , then any other singular value satisfies . If a pair such that provides a singular polynomial, then . The main topic of this paper is the determination of all the singular values for which the Jack or Macdonald polynomials with leading term are singular, where S is an arbitrary reverse standard Young tableau of shape . The tensor product is in the context of the linear space of polynomials times the module. The singular values depend on the properties of the edge of the Ferrers diagram of .
There is a brief outline of the needed aspects of the representation theory of and in Section 2, focusing on the action of the generators on the basis elements. The important operators on scalar and vector-valued polynomials are defined in Section 3. Section 3.1 deals with the Cherednik–Dunkl and Dunkl operators on the vector-valued polynomials and introduces the Jack polynomials and key formulas for the action of Dunkl operators, in particular, when specialized to the polynomials with leading term . Section 3.2 contains the analogous results on Macdonald polynomials. Section 4 combines the previous results with analyses of the spectral vectors and a combinatorial analysis of the possible singular values, to prove our main results on Jack and Macdonald polynomials. Section 4.1 illustrates the representation-theoretic aspect of singular polynomials.
2. Representation Theory
The symmetric group is the group of permutations of . The transpositions , defined by and for are fundamental tools in this study. The simple reflections , generate . The group is abstractly presented by and the braid relations:
The group algebra has the underlying linear space (with ) and is of dimension . The associated Hecke algebra , where t is transcendental (formal parameter) or a complex number not a root of unity, is the associative algebra generated by subject to the relations:
It can be shown that there is a linear isomorphism between and based on the map . When , they are identical. We require because there are several formulas with in the denominator; however, it is generally possible to obtain meaningful limits as .
The irreducible modules of these algebras correspond to partitions of N. They are constructed in terms of the Young tableaux. The descriptions will be given in terms of the actions of or on the basis elements (see [5]).
Let , and denote the set of partitions with N parts by . By a partition of N, we mean and . Thus, (often, the trailing zero entries are dropped when writing ). The length of is . The Ferrers diagram of shape (given the same label) is the union of the boxes at points with and . A tableau of shape is a filling of the boxes with numbers. A reverse standard Young tableau (RSYT) is a filling with the numbers so that the entries decrease in each row and each column. Denote the set of RSYT’s of shape by . Let with orthogonal basis , where is some extension field of containing the parameters or . The dimension of , that is , is given by a hook-length product formula (for more information about the tableaux, see Stanley [6]). For and , the entry i is at coordinates , and the content of the entry is . Each is uniquely determined by its content vector . For example, let and , then the content vector is . There are representations of and on ; each will be denoted by . For each i and S (with and ), there are four different possibilities:
(1) (implying and ) then:
(2) (implying and ) then:
(3) and . In this case:
then , denoting the tableau obtained from S by exchanging i and , is an element of and:
(4) ; thus, and , then with ,
The formulas in (4) are consequences of those in (3) by interchanging S and and applying the relations and (where I denotes the identity operator on ).
There is a commutative set of Jucys–Murphy elements in both and . They are diagonalized with respect to the basis (with and ):
The representation of is unitary (orthogonal) when is furnished with the inner product (:
The analogue for is ():
where:
This form satisfies for and .
3. Representations and Operators on Polynomials
For , . The cardinality of a set E is denoted by . For (a composition or N-tuple), let , , a monomial of degree . The spaces of polynomials, respectively homogeneous polynomials (in N variables over , are:
For , let denote the nonincreasing rearrangement of . We use partial orders on : for , ( dominates ) means that and for ; and means that and either , or and . Furthermore, there is the rank function ():
Then, and for all i if and only if .
The (right) action of the symmetric group on polynomials is defined by:
For arbitrary transpositions and There is a subtlety (implicit inverse) involved due to acting on the right: for example, , that is .
In general where for all i.
The action of the Hecke algebra on polynomials is defined by:
The defining relations can be verified straightforwardly. There are special values: , , and . Furthermore, if and only if , because .
For a partition of N, let (tensor product of two linear spaces over The set is a basis of . The representations of and on are respectively defined by linear extension from the action on generators by:
for and (for details and background for the vector-valued Macdonald polynomials, see [2]).
3.1. Jack Polynomials
The Dunkl and Cherednik–Dunkl operators on for and , with parameter , are defined by:
Each of the sets and consists of pairwise commuting elements. There is a basis of consisting of homogeneous polynomials each of which is a simultaneous eigenfunction of ; these are the nonsymmetric Jack polynomials. For each , there is the polynomial:
where ; these coefficients are rational functions of . These polynomials satisfy:
The spectral vector is . For detailed proofs, see [7].
We are concerned with the special case . We apply formulas from [3] to analyze .
Proposition 1
([3], Cor. 6.2). Suppose and for with some fixed , then for all .
The next result, uses the inner product on Jack polynomials for partition labels . The Pochhammer symbol is .
Proposition 2.
Suppose and , then:
Corollary 1.
Suppose , then:
These norm formulas are the results of Griffeth [1] specialized to the symmetric groups. The final ingredient for the formula is a special case of [3], Theorem 6.3.
Proposition 3.
Suppose and , then:
Proof.
The first line comes from [3], Theorem 6.3. Then, the norm ratios are computed, which involves much cancellation. □
Denote the prefactor of in Equation (5) by . Our interest is in the zeros of as a function of . We will see that depends only on and the location of the entry 1 in S. The idea is to group entries of S by row and use telescoping properties. There is a simple formula (proven inductively):
where g is a function on and . For the present application, set .
Definition 1.
The partition is obtained from τ by removing the box : for , set if , otherwise set .
The part of the product in coming from row has ranging from –, so the corresponding subproduct is:
Multiply these factors for ; note that:
and thus:
As stated before, the formula depends only on and the location of the entry 1 S. More simplification is possible due to telescoping if some ’s are equal. Next, we formalize the set of indices of the parts of a partition, which can be increased by one while maintaining the partition (nonincreasing) property.
Definition 2.
For as in Definition 1, define the increasing sequence such that , and implies and for . The last element . Let (the latter set is omitted when ).
Example 1.
Suppose , then and . If , then and .
Let denote the tableau formed by deleting the box from S. The key property of is that it controls the possible locations where a box containing 1 could be adjoined to to form an RSYT. These locations are . If , then the last location is , otherwise it is . Thus, is the set of contents of locations in the list. Evaluate the part of the product in Formula (6) for the range to obtain:
This completes the proof of the following:
Proposition 4.
For and as in Definitions 1 and 2:
where .
If , then the entry at is 1, , , and the last factor in the product (for ) equals , thus canceling out the leading factor .
Lemma 1.
Suppose , then .
Proof.
By construction, the sequence is strictly decreasing, and the sequence is strictly increasing. Suppose for some , the equation holds, that is . Clearly, or is impossible. Suppose, , then , implying , a contradiction. Similarly, suppose , then ; furthermore, that since is impossible, thus , again a contradiction. This completes the proof. □
Proposition 5.
The set of zeros of is:
Proof.
None of the numerator factors in the product are canceled out due to Lemma 1. The only possible cancellation occurs for when is the last entry in the list . □
Example 2.
Let and , then . The possible locations where the box containing 1 could be adjoined to are , so that and:
Here is a sketch of marked by □ and the possible cells for the entry 1:
In a later section, we examine the relation to singular polynomials of the form .
3.2. Macdonald Polynomials
Adjoin the parameter q. To say that is generic means that for and . Besides the operators defined in (3), we introduce (for ):
Thus, is an element of analogous to the cyclic shift, and w is an operator on . The Cherednik and Dunkl operators, for , are defined by:
These definitions were given for the scalar case by Baker and Forrester [8] and extended to vector-valued polynomials by Luque and the author [2]. The operators commute pairwise, while the operators commute pairwise and map to for . A polynomial is singular for some particular value of if , evaluated at , for all i. There is a basis of consisting of homogeneous polynomials each of which is a simultaneous eigenfunction of ; these are the nonsymmetric Macdonald polynomials. For each , there is the polynomial:
here, and where , and there is no shorter product having this property (that is, ), (see [4], p. 19, for the values of , which are not needed here). The eigenvector property is:
As before, is called the spectral vector (the tilde indicates the -version). We consider the special case .
Proposition 6
([4], Prop.12). Suppose and for with some fixed , then for all .
Adapting to the proof of [4], Lemma 5, we show (recall (2) ):
Proposition 7.
Let , and , then:
The other ingredient is the affine step (from the Yang–Baxter graph; see [4], 3.14 [2]): for , set , then The spectral vector of is . Observe that for . By definition:
Furthermore, and , so that .
Proposition 8.
Let , and , then:
This is very similar to the Jack case (5), and the same telescoping argument will be used. Denote the factor of in (7) by . Set for , then:
With the same notation for as in Definition 1:
The same computational scheme as in Proposition 4 proves the following:
Proposition 9.
For and as in Definitions 1 and 2:
where .
If , then the entry at is 1, , , and the last factor in the product (for ) equals , thus canceling out the leading factor .
Proposition 10.
The set of zeros of is:
Proof.
None of the numerator factors in the product are canceled out due to Lemma 1. The only possible cancellation occurs for when is the last entry in the list . □
Example 3.
Let and , then . This is the same as in Example 2, and . The same diagram applies here. Then:
In the next section, we will see under what conditions is singular.
4. Singular Polynomials
For and , we have shown:
and we determined the zeros of and . However, not all zeros lead to singular polynomials because, in general, the coefficients of (with respect to the monomial basis ) have denominators of the form and the coefficients of have denominators of the form where and . Thus, to be able to substitute , a zero of , or , a zero of , in Equations (5) and (7) to conclude that or are singular, it is necessary to show that neither nor have a pole at ; the analogous requirement applies to and . From the triangularity of and with respect to the monomial basis, we can deduce that:
where , the coefficients are rational functions of , respectively, and for some integers . If one can show that for each with that the spectral vector is distinct from that of , that is when evaluated at the specific values of or (with ), then , respectively , does not have a pole there. The following is a device for analyzing possibly coincident spectral vectors.
Definition 3.
Let such that , and let with . Then, is an -critical pair if there is such that and for .
Lemma 2.
Let such that and for all i when , with , then is an -critical pair.
Proof.
By hypothesis for ; thus:
From , it follows that for some , and thus, . □
Now, we specialize to as in Section 3.1 and n satisfying . By Proposition 5, this is equivalent to with .
Proposition 11.
There are no -critical pairs .
Proof.
Suppose that and , with , and . From and or , it follows that for some k and for . If , then for all i and , because . The content vector determines uniquely, and thus, and . Now, suppose , then , and otherwise. The respective content vectors are:
The hypothesis on implies for , for , and , . Since S and are both of shape , the two content vectors are permutations of each other. The list of values agrees with ; thus, and contain the same two numbers. Since , the equation must hold. The possible locations of the entry 1 in a RSYT must have different contents (else they would be on the same diagonal . Thus, , and S and lead to the same (the partition formed by removing the cell of 1 from By construction , for some , and z determines a cell where 1 can be attached to the part of containing to form a new RSYT . By construction, It is impossible for for any RSYT; thus, cannot occur. □
The same problem for is almost trivial.
Lemma 3.
Suppose , and , with , and . Then, .
Proof.
The hypothesis implies , and thus, for all i. This implies for all i implying and for all j; thus, . □
Proposition 12.
Suppose , and there are no -critical pairs , then has no poles at .
Proof.
By the triangularity of Formula (4), there is an expansion:
By Lemma 2, for each , there is at least one such that when . Define an operator:
Then, , and each (with ) is annihilated by at least one factor of . Thus, , a polynomial whose coefficients have denominators that are factors of . By construction of , this product does not vanish at . □
We are ready for the main result on Jack polynomials.
Theorem 1.
Suppose and is as in Definition 2. Further, suppose , , and , then is a singular polynomial for .
Proof.
From Proposition 1, for and , where By Propositions 11 and 12 and Lemma 3, and do not have poles at . Furthermore, , and thus, at . □
To set up the analogous results for Macdonald polynomials, consider the differences between two spectral vectors: . To relate this to -critical pairs, we specify a condition on , which implies and for some when .
Definition 4.
Suppose are integers such that and Let such that u is not a root of unity and with . Define .
Lemma 4.
Suppose are integers such that at , then for some .
Proof.
By the hypothesis:
Since u is not a root of unity, it follows that , but ; thus, divides Write for some integer c, then This implies with because is a primitive root of unity. Thus, and . □
Remark 1.
All the possible values of ϖ are included when (1) and with and (2) and . To prove this, let with and so that . Then, . Since , there are integers such that . Set (with , then ; thus, . If , then let , implying , while if , set .
Example 4.
Suppose and , then , and the possible values of ϖ are and , where u is not a root of unity.
We will use this result to produce singular polynomials for .
Lemma 5.
Let such that and for all i when , then is an -critical pair.
Proof.
The equation is , that is at . By Lemma 4, there is an integer such that and . This argument applies to all i. □
Proposition 13.
Suppose and there are no -critical pairs , then has no poles at .
Proof.
The proof is essentially identical to that of Proposition 12. There, replace by (with the appropriate prefactor ), J by M, by , and by . The formula shows that is a polynomial, the denominators of the coefficients of which are products of factors with the form , and none of these vanish at . □
This is our main result for the Macdonald polynomials.
Theorem 2.
Suppose and is as in Definition 2. Further, suppose , , then is a singular polynomial for .
Proof.
From Proposition 6 for and , where By Propositions 11 and 13 and Lemma 3, and do not have poles at . Furthermore, (due to the factor , Proposition 10), and thus, at . □
4.1. Isotype of Singular Polynomials
The following discussion is in terms of Macdonald polynomials. It is straightforward to deduce the analogous results for Jack polynomials. Suppose is a partition of N. A basis of an -invariant subspace of is called a basis of isotype if each transforms under the action of defined in Section 2 with replaced by . For example, if , then ; equivalently, , or if , then . There is a strong relation to singular polynomials.
Proposition 14.
A polynomial is singular for a specific value of if and only if for , evaluated at ψ.
Proof.
Recall the Jucys–Murphy elements from (1). By definition, if and only if . Proceeding by induction, suppose that for if and only if for . Suppose:
This completes the proof. □
With and n as in Theorem 2, the spectral vector . Specialized to , the polynomial is singular and . Recall for some , and z determines a cell . In terms of Ferrers diagrams, let , that is . Let denote the RSYT formed from the cells of containing the numbers and the cell containing 1. Then, for and . Thus, the spectral vector of evaluated at is . This implies that is (a basis element) of isotype . The other elements of the basis corresponding to are obtained from by appropriate transformations using .
5. Concluding Remarks
We have shown the existence of singular vector-valued Jack and Macdonald polynomials for the easiest possible values of the label , that is . The proofs required some differentiation formulas and combinatorial arguments involving Young tableaux. The singular values were found to have an elegant interpretation in terms of where another cell can be attached to an RSYT. It may occur that a larger set of parameter values, say or even , still leads to singular Jack polynomials, but our proof techniques do not seem to cover these. One hopes that eventually, a larger class of examples (more general labels in ) will be found, with a target of a complete listing as is already known for the trivial representation . It is suggestive that the isotype of the singular polynomial is obtained by a reasonably natural transformation of the partition .
Funding
This research received no external funding.
Conflicts of Interest
The author declares no conflict of interest.
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