On the Rate of Convergence of Weak Euler Approximation for Nondegenerate Itô Diffusion and Jump Processes

Mathematics – Probability

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Scientific paper

The paper studies the rate of convergence of the weak Euler approximation for Markov processes with H\"{o}lder-continuous generators. The main part of the jump intensity measure has a nondegenerate density with respect to the L\'{e}vy measure of a spherically-symmetric stable process. It covers a variety of stochastic processes including the nondegenerate diffusions and a class of SDEs driven by spherically-symmetric stable processes. To estimate the rate of convergence of the weak Euler approximation, the existence of a unique solution to the corresponding backward Kolmogorov equation in H\"{o}lder space is first proved. It then shows that the Euler scheme yields positive weak order of convergence.

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