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Theory of Stochastic Processes, 2012, Volume 18(34), Issue 1, Pages 111–118 (Mi thsp22)  

The distribution of random motion in semi-Markov media

A. Pogorui

Zhytomyr Ivan Franko State University
References:
Abstract: This paper deals with the random motion with finite speed along uniformly distributed directions, where the direction alternations occur according to renewal epochs of a general distribution. We derive a renewal equation for the characteristic function of a transition density of multidimensional motion. By using the renewal equation, we study the behavior of the transition density near the sphere of its singularity in two- and three-dimensional cases. For $\left(n-1\right)$-Erlang distributed steps of the motion in an $n$-dimensional space ($n\geq 2$), we have obtained the characteristic function as a solution of the renewal equation. As an example, we have derived the distribution for the three-dimensional random motion.
Keywords: Random motion, characteristic function, convolution, Fourier transform, Laplace transform, Dirac delta-function.
Bibliographic databases:
Document Type: Article
MSC: 60K37
Language: English
Citation: A. Pogorui, “The distribution of random motion in semi-Markov media”, Theory Stoch. Process., 18(34):1 (2012), 111–118
Citation in format AMSBIB
\Bibitem{Pog12}
\by A.~Pogorui
\paper The distribution of random motion in semi-Markov media
\jour Theory Stoch. Process.
\yr 2012
\vol 18(34)
\issue 1
\pages 111--118
\mathnet{http://mi.mathnet.ru/thsp22}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=3124767}
\zmath{https://zbmath.org/?q=an:1265.60191}
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  • https://www.mathnet.ru/eng/thsp/v18/i1/p111
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