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Methodology and Computing in Applied Probability, 2017, Volume 19, Issue 4, paper published in the English version journal
DOI: https://doi.org/10.1007/s11009-016-9492-9
(Mi mcap1)
 

This article is cited in 14 scientific papers (total in 14 papers)

Positive discrete spectrum of the evolutionary operator of supercritical branching walks with heavy tails

E. Yarovayaab

a Department of Probability Theory, Faculty of Mechanics and Mathematics, Lomonosov Moscow State University, Leninskie Gory, Main Building, Moscow, Russia
b Steklov Mathematical Institute of Russian Academy of Sciences, Gubkina 8, Moscow, Russia
Citations (14)
Abstract: We consider a continuous-time symmetric supercritical branching random walk on a multidimensional lattice with a finite set of the particle generation centres, i.e. branching sources. The main object of study is the evolutionary operator for the mean number of particles both at an arbitrary point and on the entire lattice. The existence of positive eigenvalues in the spectrum of an evolutionary operator results in an exponential growth of the number of particles in branching random walks, called supercritical in the such case. For supercritical branching random walks, it is shown that the amount of positive eigenvalues of the evolutionary operator, counting their multiplicity, does not exceed the amount of branching sources on the lattice, while the maximal of these eigenvalues is always simple. We demonstrate that the appearance of multiple lower eigenvalues in the spectrum of the evolutionary operator can be caused by a kind of ‘symmetry’ in the spatial configuration of branching sources. The presented results are based on Green’s function representation of transition probabilities of an underlying random walk and cover not only the case of the finite variance of jumps but also a less studied case of infinite variance of jumps.
Funding agency Grant number
Russian Science Foundation 14-21-00162
This study has been carried out at Lomonosov Moscow State University and at Steklov Mathematical Institute of Russian Academy of Sciences. The work was supported by the Russian Science Foundation, project no. 14-21-00162.
Received: 16.11.2015
Revised: 24.02.2016
Accepted: 04.03.2016
Bibliographic databases:
Document Type: Article
Language: English
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    Citing articles in Google Scholar: Russian citations, English citations
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