Macdonald polynomials

Arun Ram
Department of Mathematics and Statistics
University of Melbourne
Parkville, VIC 3010 Australia
aram@unimelb.edu.au

Last update: 20 September 2012

Macdonald polynomials

In this section we use Theorem 2.2 to give expansions of the nonsymmetric Macdonald polynomials Eμ (Theorem 3.1) and the symmetric Macdonald polynomials Pμ (Theorem 3.4).

Let H∼ be the double affine Hecke algebra (defined in (2.31)) and let H be the subalgebra of H∼ generated by T0,…,Tn and Ω. The polynomial representation of H∼ is

ℂ[X]= IndHH∼ (1)=ℂ–span { qkXμ1∣ k∈12ℤ ,μ∈𝔥ℤ* } (3.1)

with

Ti1= ti1/21 andg1=1, forg∈Ω. (3.2)

The monomials Xμ1,μ∈ 𝔥ℤ*, form a ℂ[q±1/e]–basis of ℂ[X] is the basis of nonsymmetric Macdonald polynomials

{Eμ∣μ∈𝔥ℤ*}, whereEμ= τXμm∨1 (3.3)

with Xμm the minimal length element in the coset XμW0. Note that τw∨1=0 for w∈W0 since τi∨1=0 for i=1,2,…,n.

If 𝔥ℤ+ is the set of dominant integral coweights (analogous to (𝔥ℤ*)+ defined in (3.8)), λ∨∈𝔥ℤ+ and Yλ∨=si1…siℓ is a reduced word, then

Yλ∨ 1=Ti1 …Tiℓ1= ti112… tiℓ121= q 12 ( ci1+…+ ciℓ ) 1 q 12 ∑α∈R+ cα⟨λ∨,α⟩ 1= q⟨λ∨,ρc⟩ 1,

since ⟨λ∨,α⟩ is the number of hyperplanes parallel to 𝔥α which are between Yλ∨ and 1. If λ∨∈𝔥ℤ then λ∨=μ∨-ν∨ for some μ∨,ν∨∈𝔥ℤ+ and so, for all λ∨∈𝔥ℤ,

Yλ∨1= q⟨λ∨,ρc⟩ 1,whereρc= 12∑α∈R+ cαα. (3.4)

More generally, if Xμm is the minimal length element of the coset XμW0 then

Yλ∨Eμ = Yλ∨τXμm∨ 1=τXμm∨ Y m-1X-μ λ∨ 1=τXμm∨ Y m-1 ( λ∨+ ⟨λ∨,μ⟩d ) 1 = τXμm∨ Ym-1λ∨ q-⟨λ∨,μ⟩ 1= q ⟨m-1λ∨,ρc⟩ -⟨λ∨,μ⟩ τXμm∨1= q ⟨ λ∨,mρc-μ ⟩ Eμ = q ⟨ λ∨,X-μ m.ρc ⟩ Eμ,

where, in the last line, the action of W on 𝔥ℤ* is as in (2.15). Thus the Eμ are eigenvectors for the action of the Yλ∨ on the polynomial representation ℂ[X].

Retain the notation of (2.36-2.37) so that if s=si1∨ …siℓ∨ is a reduced word then ℬ(v,w→) denotes the set of alcove walks of type w→=(i1,…,iℓ) beginning at v. For p∈ℬ(v,w→) define the weight wt(p) and the final direction φ(p) of p by

Xend(p)= Xwt(p) Tφ(p)∨, withwt(p) ∈𝔥ℤ*and φ(p)∈W0. (3.5)

In other words, wt(p) is the "hexagon where p ends". For w∈W define

tw1/2= ti11/2… tiℓ1/2, ifw=si1∨ …siℓ∨ is a reduced word. (3.6)

If βk∨ siℓ∨… sik+1∨ αik are as defined in (2.35) then, by (3.4),

Y-βk∨ 1= Y -(-γ∨+jd) 1=qj q⟨γ∨,ρc⟩ 1,ifβk∨ =-γ∨+jd

with γ∨∈R∨, j∈ℤ. By (2.30) and the definition of ρc in (3.4), the constant q⟨γ∨,ρc⟩ is a monomial in the symbols ti1/2. To simplify the notation for these constants write qj q⟨γ∨,ρc⟩= q⟨-βk∨,ρc⟩ so that

Y-βk∨1= q⟨-βk∨,ρc⟩ 1. (3.7)

Let μ∈𝔥ℤ* and let w=Xμm be the minimal length element in the coset XμW0. Fix a reduced word w→= ss1∨… ssℓ∨ for w and let βℓ∨,…. β1∨ be as defined in (2.35). With notations as in (3.5-3.7) the nonsymmetric Macdonald polynomial

Eμ= ∑p∈ℬ(u→) Xwt(p) tφ(p)12 ( ∏k∈f+(p) tβk∨-12 (1-tβk∨) 1- q⟨-βk∨,ρc⟩ ) ( ∏k∈f-(p) tβk∨-12 (1-tβk∨) q⟨-βk∨,ρc⟩ 1- q⟨-βk∨,ρc⟩ ) ,

where the sum is over the set ℬ(μ→)= ℬ(1,w→) of alcove walks of type i1,…,iℓ beginning at 1.

Proof.

Since Eμ= τXμm∨1,

Xend(p)1 =Xwt(p) Tφ(p)∨1= Xwt(p) tφ(p)12 1andYλ∨ 1= q⟨λ∨,ρc⟩ 1,

applying the formula for τXμm∨ in Theorem 2.2 to 1 gives the formula in the statement.

□

From the expansion of Eμ in Theorem 3.1, the nonsymmetric MAcdonald polynomial Eμ has top term tm1/2Xμ, where Xμm is the minimal length representative of the coset XμW0. This term is the term corresponding to the unique alcove walk in ℬ(μ→) with no folds.

If w=Xμm= si1∨… siℓ∨ is a reduced word for the minimal length element of the coset XμW0 then w-1= siℓ∨… si1∨ is a walk from 1 to w-1 which stays completely in the dominant chamber. This has the effect that the roots βℓ∨,…, β1∨ are all of the form -γ∨+jd with γ∨∈(R∨)+ (positive coroots) and j∈ℤ>0. The height of a coroot γ∨ is

ht(γ∨)= ⟨γ∨,ρ⟩, whereρ=12 ∑α∈Rα.

In the case that all the parameters are equal ( ti=t=qc fori=0,…,n ) the values which appear in Theorem 3.1,

q⟨-βk∨,ρc⟩= q⟨γ∨-jd,ρc⟩= qjtht(γ∨), have positive exponents (inℤ>0).

The set of dominant integral weights is

(𝔥ℤ*)+= { μ∈𝔥ℤ*∣ ⟨μ,αi∨⟩≥0 fori=1,…,n } . (3.8)

Recall the notation for tw1/2 from (3.6). For μ∈(𝔥ℤ*)+, the symmetric Macdonald polynomial (see [14, Remarks after (6.8)]) is

Pμ=10Eμ where10= ∑w∈W0 tw0w-12 Tw, (3.9)

so that Ti10= ti1/210 for i=1,2,…n, and 10 has top term TW0 with coefficient 1. The symmetric Macdonald polynomials are W0–symmetric polynomials in Xμ which are eigenvectors for the action of W0–symmetric polynomials in the Yλ∨.

Let μ∈(𝔥ℤ*)+ and let Xμm= si1∨… siℓ∨ be a reduced word for the minimal length element Xμm in the coset XμW0. Let βℓ∨,…, β1∨ be as defined in (2.35) and let

𝒫(μ→)= ⋃v∈W0ℬ (v,w→)

be the set of alcove walks of type w→=(i1,…,iℓ) beginning at an element v∈W0. Then the symmetric Macdonald polynomial

Pμ= ∑p∈𝒫(u→) Xwt(p) tφ(p)12 tw0ι(p)-12 ( ∏k∈f+(p) tβk∨-12 (1-tβk∨) 1- q⟨-βk∨,ρc⟩ ) ( ∏k∈f-(p) tβk∨-12 (1-tβk∨) q⟨-βk∨,ρc⟩ 1- q⟨-βk∨,ρc⟩ ) ,

where ι(p) is the initial alcove of the path p.

Proof.

The expression

10=∑v∈W0 tw0v-12 Xv,givesPμ 1=10Eμ1= ∑v∈W0 tw0v-12 Xv τXμm∨1,

which is computed by the same method as in Theorem 2.2 and Theorem 3.1.

□

The Hall-Littlewood polynomials or Macdonald spherical functions are Pμ(0,t) and the Schur functions or Weyl characters are sμ=Pμ(0,0). In the first case the formula in Theorem 3.4 reduces to the formula for the Macdonald spherical functions in terms of positively folded alcove walks as given in [17, Thm. 1.1] (see also [16, Thm. 4.2(a)]). In the case q=t=0, the formula in Theorem 3.4 reduces to the formula for the Weyl characters in terms of maximal dimensional positively folded alcove walks (the Littelmann path model) as given in [2, Cor. 1 p. 62], or tha λ–chain formulation of [9],[10].

When μ is not a regular weight, the formula for Pμ in Theorem 3.4 has an alternate formulation as a sum over paths whose initial alcove ι(p) is in the minimal coset representatives Wμ of W0/Wμ. To see this, suppose siμ=μ for some i∈{1,…,n}. Then ⟨μ,αi∨⟩=0 implies Y-αi∨Eμ 1=ti-1Eμ 1. Further, let Xμm be the minimal length element in the coset XμW0. Then siXμm= Xsiμsim= Xμmsj for some j∈{1,…,n}, so τi∨Eμ1= τi∨τXμm∨ 1=τXμm∨ τj∨1=0.
Thus TiEμ1= ( τi∨- ti-12 -τi12 1- Y-αi∨ ) Eμ1=ti12 Eμ1, and

Pμ1 = 10Eμ1= ∑w∈W0 tw0w-12 TwEμ1= tw012 ( ∑v∈Wμ tw0v-12 Tv ) ( ∑u∈Wμ tw0u-12 Tu ) Eμ1 = Wμ(t) ∑v∈Wμ tw0v-12 Xv τXμm∨1.

Notes and References

This page is taken from a paper entitled A combinatorial formula for Macdonald Polynomials by Arun Ram and Martha Yip.

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