Glauber and Kawasaki Dynamics for Determinantal Point Processes in Discrete Spaces
Myeongju Chae, Hyun Jae Yoo

TL;DR
This paper develops Glauber and Kawasaki dynamics for determinantal point processes on discrete spaces, constructing Markov processes that preserve these processes and analyzing their ergodic properties.
Contribution
It introduces a novel construction of Fellerian Markov processes for determinantal point processes in discrete spaces, including their ergodicity analysis.
Findings
Constructed equilibrium Glauber and Kawasaki dynamics for determinantal point processes.
Established the existence of Fellerian Markov processes with specified generators.
Discussed the ergodic behavior of the constructed processes.
Abstract
We construct the equilibrium Glauber and Kawasaki dynamics on discrete spaces which leave invariant certain determinantal point processes. We will construct Fellerian Markov processes with specified core for the generators. Further, we discuss the ergodicity of the processes.
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Taxonomy
TopicsRandom Matrices and Applications · Stochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods
