Jack polynomials with prescribed symmetry and some of their clustering properties
Patrick Desrosiers, Jessica Gatica

TL;DR
This paper investigates Jack polynomials with prescribed symmetry, establishing their clustering properties, uniqueness, and invariance conditions, especially for specific parameter values, extending previous symmetric cases to more general symmetry types.
Contribution
It extends recent results on symmetric Jack polynomials to those with prescribed symmetry, proving clustering properties and invariance conditions for a broader class of polynomials.
Findings
Jack polynomials with prescribed symmetry admit clusters of size k and order r.
Existence and uniqueness of these polynomials are established under admissibility conditions.
Invariance under translation is characterized for specific symmetry types.
Abstract
We study Jack polynomials in variables, with parameter , and having a prescribed symmetry with respect to two disjoint subsets of variables. For instance, these polynomials can exhibit a symmetry of type AS, which means that they are anti-symmetric in the first variables and symmetric in the remaining variables. One of our main goals is to extend recent works on symmetric Jack polynomials [arXiv:0711.3062, arXiv:1007.2692, arXiv:1303.4126] and prove that the Jack polynomials with prescribed symmetry also admit clusters of size and order , that is, the polynomials vanish to order when variables coincide. We first prove some general properties for generic , such as their uniqueness as triangular eigenfunctions of operators of Sutherland type, and the existence of their analogues in infinity many variables. We then turn our attention to the…
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Taxonomy
TopicsAlgebraic structures and combinatorial models · Nonlinear Waves and Solitons · Advanced Combinatorial Mathematics
