Donsker-Varadhan asymptotics for degenerate jump Markov processes
Giada Basile, Lorenzo Bertini

TL;DR
This paper establishes large deviation principles for certain degenerate jump Markov processes, extending Donsker-Varadhan asymptotics to non-uniformly ergodic cases with absorbing states.
Contribution
It provides the first joint large deviation results for empirical measure and flow in degenerate jump Markov processes without uniform ergodicity.
Findings
Derived the joint large deviation principle for empirical measure and flow.
Obtained the Donsker-Varadhan rate function for the empirical measure.
Presented a variational expression for the rate function of the empirical flow.
Abstract
We consider a class of continuous time Markov chains on a compact metric space that admit an invariant measure strictly positive on open sets together with absorbing states. We prove the joint large deviation principle for the empirical measure and flow. Due to the lack of uniform ergodicity, the zero level set of the rate function is not a singleton. As corollaries, we obtain the Donsker-Varadhan rate function for the empirical measure and a variational expression of the rate function for the empirical flow.
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Taxonomy
TopicsMarkov Chains and Monte Carlo Methods · Mathematical Dynamics and Fractals · Stochastic processes and statistical mechanics
