Two-step asymptotics of scaled Dunkl processes
Sergio Andraus, Seiji Miyashita

TL;DR
This paper analyzes the asymptotic behavior of scaled Dunkl processes, including their convergence to steady states and strong-coupling limits, revealing how drift and exchange mechanisms influence deviations.
Contribution
It derives explicit asymptotic expressions for Dunkl processes starting from arbitrary initial conditions, highlighting the distinct decay mechanisms of deviations.
Findings
Deviation due to drift decays as t^{-1}
Deviation due to exchange decays as t^{-1/2}
Provides formulas for asymptotics in two limiting regimes
Abstract
Dunkl processes are generalizations of Brownian motion obtained by using the differential-difference operators known as Dunkl operators as a replacement of spatial partial derivatives in the heat equation. Special cases of these processes include Dyson's Brownian motion model and the Wishart-Laguerre eigenvalue processes, which are well-known in random matrix theory. It is known that the dynamics of Dunkl processes is obtained by transforming the heat kernel using Dunkl's intertwining operator. It is also known that, under an appropriate scaling, their distribution function converges to a steady-state distribution which depends only on the coupling parameter as the process time tends to infinity. We study scaled Dunkl processes starting from an arbitrary initial distribution, and we derive expressions for the intertwining operator in order to calculate the asymptotics of the…
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