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Convergence to Equilibrium for Time-Inhomogeneous Jump Diffusions with State-Dependent Jump Intensity

  • Université Panthéon-Sorbonne (Paris 1)

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

We consider a time-inhomogeneous Markov process X=(Xt)t with jumps having state-dependent jump intensity, with values in Rd, and we are interested in its longtime behavior. The infinitesimal generator of the process is given for any sufficiently smooth test function f by Ltf(x)=∑i=1d∂f∂xi(x)bi(t,x)+∫Rm[f(x+c(t,z,x))-f(x)]γ(t,z,x)μ(dz),where μ is a σ-finite measure on (Rm, B(Rm)) describing the jumps of the process. We give conditions on the coefficients b(t, x) , c(t, z, x) and γ(t, z, x) under which the longtime behavior of X can be related to the longtime behavior of a time-homogeneous limit process X¯. Moreover, we introduce a coupling method for the limit process which is entirely based on certain of its big jumps and which relies on the regeneration method. We state explicit conditions in terms of the coefficients of the process allowing control of the speed of convergence to equilibrium both for X and for X¯.

Original languageEnglish
Pages (from-to)2280-2314
Number of pages35
JournalJournal of Theoretical Probability
Volume33
Issue number4
DOIs
Publication statusPublished - 1 Dec 2020
Externally publishedYes

Keywords

  • Asymptotic pseudotrajectories
  • Continuous-time Markov processes
  • Convergence to equilibrium
  • Diffusions with position-dependent jumps
  • Nummelin splitting
  • Total variation coupling

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