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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/217593
Markov chain approximations for nonsymmetric processes
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The aim of this article is to prove that diffusion processes in $\mathbb{R}^d$ with a drift can be approximated by suitable Markov chains on $n^{-1} \mathbb{Z}^d$. 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.
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WEIDNER, Marvin. Markov chain approximations for nonsymmetric processes. Stochastic Processes and their Applications. 2023. Vol. 158, num. 238-281. ISSN 0304-4149. [consulted: 14 of August of 2026]. Available at: https://hdl.handle.net/2445/217593