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Digital Library

of the European Council for Modelling and Simulation

 

Title:

On Convergence Of Random Walks Having Jumps With Finite Variances To Stable Levy Processes

Authors:

Victor Korolev, Vladimir Bening, Lilya Zaks, Alexander Zeifman

Published in:

 

(2013).ECMS 2013 Proceedings edited by: W. Rekdalsbakken, R. T. Bye, H. Zhang  European Council for Modeling and Simulation. doi:10.7148/2013

 

ISBN: 978-0-9564944-6-7

 

27th European Conference on Modelling and Simulation,

Aalesund, Norway, May 27th – 30th, 2013

 

Citation format:

Victor Korolev, Vladimir Bening, Lilya Zaks, Alexander Zeifman (2013). On Convergence Of Random Walks Having Jumps With Finite Variances To Stable Levy Processes, ECMS 2013 Proceedings edited by: W. Rekdalsbakken, R. T. Bye, H. Zhang, European Council for Modeling and Simulation. doi:10.7148/2013-0601

 

DOI:

http://dx.doi.org/10.7148/2013-0601

Abstract:

A functional limit theorem is proved establishing weak convergence of random walks generated by compound doubly stochastic Poisson processes to Levy processes in the Skorokhod space. As corollaries, theorems are proved on convergence of random walks with jumps having finite variances to Levy processes with mixed normal distributions, in particular, to stable Levy processes. Statistical analysis of the traffic in information flows in modern computational and telecommunication systems sometimes shows that this characteristics possesses the property of self-similarity. In applied probability this property is usually modeled by Levy processes. This communication gives some theoretical grounds to this convention.

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