Hua-Pickrell diffusions and differential equations related with pseudo-Jacobi polynomials
Martin Auer, Michael Voit

TL;DR
This paper studies $eta$-Hua-Pickrell diffusions, their connection to pseudo-Jacobi polynomials, and their asymptotic behavior, including convergence of empirical distributions and a freezing central limit theorem.
Contribution
It introduces a new class of $eta$-Hua-Pickrell diffusions, links them to pseudo-Jacobi polynomials, and analyzes their large-scale and long-term asymptotic properties.
Findings
Empirical distributions converge to explicit limits as N→∞.
Solutions with specific parameters converge to Hua-Pickrell measures.
A freezing central limit theorem for β→∞ is established.
Abstract
Following Assiotis (2020), we study general -Hua-Pickrell diffusions of particles on as solutions of the stochastic differential equations (SDEs) with . These processes form a subclass of the Pearson diffusions which are defined as solutions of algebraic SDEs where the moments of the empirical distributions can be computed inductively. This Pearson class also contains other well known diffusions like Dyson Brownian motions, and multivariate Laguerre and Jacobi processes After the time normalization , the SDEs above degenerate in the frozen case for into ordinary differential…
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Taxonomy
TopicsRandom Matrices and Applications · Stochastic processes and financial applications · Statistical Mechanics and Entropy
