Yangian Gelfand-Zetlin Bases, gl(N)-Jack Polynomials and computation of Dynamical Correlation Functions in the Spin Calogero-Sutherland Model
Denis Uglov

TL;DR
This paper develops a unified framework connecting gl(N)-invariant Calogero-Sutherland models with symmetric polynomials, introduces gl(N)-Jack polynomials as eigenvectors, and computes specific dynamical correlation functions.
Contribution
It generalizes Jack polynomials to the gl(N) case, linking them to Yangian Gelfand-Zetlin bases and providing a method to compute correlation functions.
Findings
gl(N)-Jack polynomials form orthogonal eigenbasis
Established the connection between Macdonald polynomials and Yangian actions
Computed explicit two-point correlation functions in the gl(2) model
Abstract
We consider the gl(N)-invariant Calogero-Sutherland Models with N=1,2,3,... in a unified framework, which is the framework of Symmetric Polynomials. By the framework we mean an isomorphism between the space of states of the gl(N)-invariant Calogero-Sutherland Model and the space of Symmetric Laurent Polynomials. In this framework it becomes apparent that all gl(N)-invariant Calogero-Sutherland Models are manifestations of the same entity, which is the commuting family of Macdonald Operators. Macdonald Operators depend on two parameters and . The Hamiltonian of gl(N)-invariant Calogero-Sutherland Model belongs to a degeneration of this family in the limit when both and approach the N-th elementary root of unity. This is a generalization of the well-known situation in the case of Scalar Calogero-Sutherland Model (N=1). In the limit the commuting family of Macdonald…
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