Markov chain approximations for symmetric jump processes

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Markov chain approximations of symmetric jump processes are investigated. Tightness results and a central limit theorem are established. Moreover, given the generator of a symmetric jump process with state space $\mathbbm{R}^d$ the approximating Markov chains are constructed explicitly. As a byproduct we obtain a definition of the Sobolev space $H^{α/2}(\mathbbm{R}^d)$, $α\in (0,2)$, that is equivalent to the standard one.
36 pages

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