Macdonald-level extension of beta ensembles and large-N limit transition
Grigori Olshanski

TL;DR
This paper introduces a family of deformed beta ensembles linked to Macdonald polynomials and proves a large-N limit transition to infinite-particle processes, advancing understanding of integrable probability models.
Contribution
It presents a novel $(q,t)$-deformed discrete beta ensemble framework and establishes the large-N limit transition to infinite-particle processes, connecting Macdonald polynomials with random matrix theory.
Findings
Existence of a large-N limit transition for the deformed beta ensembles.
Construction of infinite-particle limit processes.
Extension of beta ensemble theory via Macdonald polynomial parameters.
Abstract
We introduce and study a family of -deformed discrete -particle beta ensembles, where and are the parameters of Macdonald polynomials. The main result is the existence of a large- limit transition leading to random point processes with infinitely many particles.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
