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Weak convergence of Markovian random evolution in a multidimensional space
Published 29 Dec 2011 in math.PR | (1112.6242v1)
Abstract: We study Markovian symmetry and non-symmetry random evolutions in $\mathbf{R}n$. Weak convergence of Markovian symmetry random evolution to Wiener process and of Markovian non-symmetry random evolution to a diffusion process with drift is proved using problems of singular perturbation for the generators of evolutions. Relative compactness in $\mathbf{D}_{\mathbf{R}n\times\Theta}[0,\infty)$ of the families of Markovian random evolutions is also shown.
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