Theoretical study establishes quantitative convergence rates to equilibrium for telegraph processes with position-dependent jump rates, highlighting methods derived from bacterial chemotaxis models.
We study the long-time behavior of variants of the telegraph process with position-dependent jump rates, which result in a monotone gradient-like drift towards the origin. We compute their invariant laws and obtain, via probabilistic couplings arguments, some quantitative estimates of the total variation distance to equilibrium. Our techniques extend ideas previously developed for a simplified piecewise deterministic Markov model of bacterial chemotaxis.
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Fontbona et al. (2016) studied this question.
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