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Teoriya Veroyatnostei i ee Primeneniya, 2024, Volume 69, Issue 1, Pages 112–124
DOI: https://doi.org/10.4213/tvp5533
(Mi tvp5533)
 

On periodic branching random walks on Zd with infinite variance of jumps

K. S. Ryadovkinab

a St. Petersburg Department of Steklov Mathematical Institute of Russian Academy of Sciences
b Chebyshev Laboratory, St. Petersburg State University, Department of Mathematics and Mechanics
References:
Abstract: We consider periodic branching random walks with periodic branching sources. It is assumed that the transition intensities of the random walk satisfy some symmetry conditions and obey a condition which ensures infinite variance of jumps. In this case, we obtain the leading term for the asymptotics of the mean population size of particles at an arbitrary point of the lattice for large time.
Keywords: branching random walk, periodic perturbation, heavy tail, asymptotic behavior.
Funding agency Grant number
Gazprom Neft
Received: 04.10.2021
English version:
Theory of Probability and its Applications, 2024, Volume 69, Issue 1, Pages 88–98
DOI: https://doi.org/10.1137/S0040585X97T991763
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: K. S. Ryadovkin, “On periodic branching random walks on Zd with infinite variance of jumps”, Teor. Veroyatnost. i Primenen., 69:1 (2024), 112–124; Theory Probab. Appl., 69:1 (2024), 88–98
Citation in format AMSBIB
\Bibitem{Rya24}
\by K.~S.~Ryadovkin
\paper On periodic branching random walks on $\mathbf{Z}^d$ with infinite variance of jumps
\jour Teor. Veroyatnost. i Primenen.
\yr 2024
\vol 69
\issue 1
\pages 112--124
\mathnet{http://mi.mathnet.ru/tvp5533}
\crossref{https://doi.org/10.4213/tvp5533}
\transl
\jour Theory Probab. Appl.
\yr 2024
\vol 69
\issue 1
\pages 88--98
\crossref{https://doi.org/10.1137/S0040585X97T991763}
\scopus{https://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85194166137}
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  • https://doi.org/10.4213/tvp5533
  • https://www.mathnet.ru/eng/tvp/v69/i1/p112
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    Теория вероятностей и ее применения Theory of Probability and its Applications
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