Convergence of symmetric Markov chains on ℤd

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Abstract

For each n let Yt(n) be a continuous time symmetric Markov chain with state space n-1ℤd. Conditions in terms of the conductances are given for the convergence of the Yt(n)t to a symmetric Markov process Yt on ℝd. We have weak convergence of {Yt(n)}: t ≤ t0} for every t0 and every starting point. The limit process Y has a continuous part and may also have jumps. © 2009 Springer-Verlag.

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Bass, R. F., Kumagai, T., & Uemura, T. (2010). Convergence of symmetric Markov chains on ℤd. Probability Theory and Related Fields, 148(1), 107–140. https://doi.org/10.1007/s00440-009-0224-8

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