[HTML][HTML] Markov chain approximations for nonsymmetric processes
M Weidner - Stochastic Processes and their Applications, 2023 - Elsevier
Stochastic Processes and their Applications, 2023•Elsevier
The aim of this article is to prove that diffusion processes in R d with a drift can be
approximated by suitable Markov chains on n− 1 Z d. Moreover, we investigate sufficient
conditions on the edge weights which guarantee convergence of the associated Markov
chains to such Markov processes. Analogous questions are answered for a large class of
nonsymmetric jump processes. The proofs of our results rely on regularity estimates for weak
solutions to the corresponding nonsymmetric parabolic equations and Dirichlet form …
approximated by suitable Markov chains on n− 1 Z d. Moreover, we investigate sufficient
conditions on the edge weights which guarantee convergence of the associated Markov
chains to such Markov processes. Analogous questions are answered for a large class of
nonsymmetric jump processes. The proofs of our results rely on regularity estimates for weak
solutions to the corresponding nonsymmetric parabolic equations and Dirichlet form …
The aim of this article is to prove that diffusion processes in R d with a drift can be approximated by suitable Markov chains on n− 1 Z d. Moreover, we investigate sufficient conditions on the edge weights which guarantee convergence of the associated Markov chains to such Markov processes. Analogous questions are answered for a large class of nonsymmetric jump processes. The proofs of our results rely on regularity estimates for weak solutions to the corresponding nonsymmetric parabolic equations and Dirichlet form techniques.
Elsevier
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