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JOURNALS // Methodology and Computing in Applied Probability // Archive

Methodol. Comput. Appl. Probab., 2017, Volume 19, Issue 4, Pages 1151–1167 (Mi mcap1)

This article is cited 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

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.

Received: 16.11.2015
Revised: 24.02.2016
Accepted: 04.03.2016

Language: English

DOI: 10.1007/s11009-016-9492-9



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