Table of Contents
Fetching ...

Interpolation Polynomials, Binomial Coefficients, and Symmetric Function Inequalities

Hong Chen, Siddhartha Sahi

TL;DR

This work develops a comprehensive interpolation-polynomial framework for type A and BC, introducing four families ${A\mathrm{J}}, {A\mathrm{M}}, {B\mathrm{J}}, {B\mathrm{M}}$ whose top-degree terms recover Jack/Macdonald polynomials and whose binomial/LR coefficients generalize classical coefficients. The authors prove monotonicity and positivity for binomial coefficients, derive weighted-sum formulas for both binomial and Littlewood–Richardson coefficients, and establish integrality results under suitable parametrizations. A central accomplishment is a new symmetric-function duality: Jack positivity with respect to $\Omega_\lambda({\bf1}+x;\tau)$ is dual to the partition containment order, generalizing dualities known for Schur/Macdonald bases and connecting to existing CGS/KT inequalities. The results yield a Jack-polynomial–type positivity phenomenon in containment order and open avenues for Macdonald- and non-symmetric extensions, with potential applications in representation theory and combinatorial algebraic geometry.

Abstract

Interpolation polynomials were introduced by Knop--Sahi in type $A$, and Okounkov in type $BC$. They are inhomogeneous polynomials whose top terms are Jack and Macdonald polynomials. Thus the expansion coefficients for the product of two interpolation polynomials, known as Littlewood--Richardson coefficients, generalize the corresponding coefficients for Jack/Macdonald polynomials. Special values of interpolation polynomials, known as binomial coefficients, arise in the binomial type expansions of Jack/Macdonald polynomials and Koornwinder polynomials. We prove a number of results for interpolation polynomials and the associated coefficients. These include positivity and monotonicity results for binomial coefficients, partial positivity results for Littlewood--Richardson coefficients, and weighted sum formulas for both kinds of coefficients. As a special case of our results we obtain a new symmetric function inequality, which establishes a ``duality'' between Jack expansion positivity for symmetric functions, and the containment order on partitions, with respect to the shifted basis $Ω_λ({\bf1}+x;τ)$, where ${\bf1} =(1,\ldots,1)$ and $Ω_λ(x;τ)=P_λ(x;τ)/P_λ({\bf1};τ)$ is the normalized Jack polynomial. Our inequality can be seen as an analog of the inequalities of Cuttler--Greene--Skandera+Sra and Khare--Tao, which establish similar dualities between evaluation positivity on the positive orthant, and the dominance and weak dominance orders on partitions, with respect to the normalized Schur basis $Ω_λ(x)=s_λ(x)/s_λ({\bf1})$ and its shifted version $Ω_λ({\bf1}+x)$, respectively. In contrast to our result, the Jack versions of the two latter inequalities, although expected to hold, have not yet been proved.

Interpolation Polynomials, Binomial Coefficients, and Symmetric Function Inequalities

TL;DR

This work develops a comprehensive interpolation-polynomial framework for type A and BC, introducing four families whose top-degree terms recover Jack/Macdonald polynomials and whose binomial/LR coefficients generalize classical coefficients. The authors prove monotonicity and positivity for binomial coefficients, derive weighted-sum formulas for both binomial and Littlewood–Richardson coefficients, and establish integrality results under suitable parametrizations. A central accomplishment is a new symmetric-function duality: Jack positivity with respect to is dual to the partition containment order, generalizing dualities known for Schur/Macdonald bases and connecting to existing CGS/KT inequalities. The results yield a Jack-polynomial–type positivity phenomenon in containment order and open avenues for Macdonald- and non-symmetric extensions, with potential applications in representation theory and combinatorial algebraic geometry.

Abstract

Interpolation polynomials were introduced by Knop--Sahi in type , and Okounkov in type . They are inhomogeneous polynomials whose top terms are Jack and Macdonald polynomials. Thus the expansion coefficients for the product of two interpolation polynomials, known as Littlewood--Richardson coefficients, generalize the corresponding coefficients for Jack/Macdonald polynomials. Special values of interpolation polynomials, known as binomial coefficients, arise in the binomial type expansions of Jack/Macdonald polynomials and Koornwinder polynomials. We prove a number of results for interpolation polynomials and the associated coefficients. These include positivity and monotonicity results for binomial coefficients, partial positivity results for Littlewood--Richardson coefficients, and weighted sum formulas for both kinds of coefficients. As a special case of our results we obtain a new symmetric function inequality, which establishes a ``duality'' between Jack expansion positivity for symmetric functions, and the containment order on partitions, with respect to the shifted basis , where and is the normalized Jack polynomial. Our inequality can be seen as an analog of the inequalities of Cuttler--Greene--Skandera+Sra and Khare--Tao, which establish similar dualities between evaluation positivity on the positive orthant, and the dominance and weak dominance orders on partitions, with respect to the normalized Schur basis and its shifted version , respectively. In contrast to our result, the Jack versions of the two latter inequalities, although expected to hold, have not yet been proved.
Paper Structure (30 sections, 39 theorems, 118 equations, 1 table)

This paper contains 30 sections, 39 theorems, 118 equations, 1 table.

Key Result

Theorem A

Jack positivity and containment are dual with respect to $\Omega_\lambda({\bf1}+x;\tau)$. Furthermore, for each $\tau_0$ in $[0,\infty]$, $\tau_0$-Jack positivity and containment are dual with respect to $\Omega_\lambda({\bf1}+x;\tau_0)$.

Theorems & Definitions (80)

  • Definition 1
  • Theorem A
  • Theorem B: Monotonicity
  • Theorem C: Positivity
  • Theorem D: Weighted Sum Formula
  • Theorem E
  • Theorem F: Adjacent Positivity for LR Coefficients
  • Theorem G: Integrality and Positivity
  • Remark 1
  • Proposition 1
  • ...and 70 more