On the Limit Behavior of a Sequence of Markov Processes Perturbed in a Neighborhood of the Singular Point
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We study the limit behavior of a sequence of Markov processes whose distributions outside any neighborhood of a “singular” point are attracted to a certain probability law. In any neighborhood of this point, the limit behavior can be irregular. As an example of application of the general result, we consider a symmetric random walk with unit jumps perturbed in the neighborhood of the origin. The invariance principle is established for the standard time and space scaling. The limit process is a skew Brownian motion.
KeywordsMarkov Chain Brownian Motion Random Walk MARKOV Process Weak Convergence
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