A method to derive explicit formulas for an elliptic generalization of the Jack polynomials
Edwin Langmann
TL;DR
The paper develops an explicit procedure to obtain closed-form expressions for Jack polynomials by linking them to the eigenfunctions of the Sutherland model, casting the problem into a Fourier-type transform framework with an explicit contour-integral construction. It further outlines a generalization to the elliptic Calogero-Sutherland (eCS) model, where symmetric functions generalize Jack polynomials via elliptic theta functions and an implicit eigenvalue equation solved through a perturbative Lagrange-inversion approach in the elliptic parameter $q$. The main contributions include an explicit eigenfunction structure for the Sutherland model, a finite-contour integral representation for the symmetric functions $f_{\mathbf{m}}$, and a scalable path to explicit, series-based eigenvalues and eigenfunctions in the elliptic case. This work provides a bridge between integrable quantum many-body systems and explicit symmetric-polynomial formulas, with potential connections to Macdonald polynomials and Ruijsenaars models for broader applicability.
Abstract
We review a method providing explicit formulas for the Jack polynomials. Our method is based on the relation of the Jack polynomials to the eigenfunctions of a well-known exactly solvable quantum many-body system of Calogero-Sutherland type. We also sketch a generalization of our method allowing to find the exact solution of the elliptic generalization of the Calogero-Sutherland model. We present the resulting explicit formulas for certain symmetric functions generalizing the Jack polynomials to the elliptic case.
