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STS579 Elena Yarovaya



                                Stochastic evolutionary system on
                                     multidimensional lattices
                                          Elena Yarovaya
                            Lomonosov Moscow State University, Moscow, Russia

            Abstract
            For the study of stochastic evolution of particle systems on a non-compact
            phase space we apply an approach focused on continuous-time branching
            random walks on multidimensional lattices. The main object of study is the
            limit  distribution  of  particles  on  the  lattice.  Special  attention  is  paid  to
            branching  random  walks  with  large  deviations.  The  limit  theorems  on
            asymptotic behavior of the Green function for transition probabilities were
            established for random walks with both a finite and infinite variance of jumps.
            The obtained results allow to study the front of branching random walk and
            the  structure  of  the  particle  population  inside  of  the  front  and near  to its
            boundary.  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.

            Keywords
            branching random walks; limit distributions of particles; the spectrum of the
            evolutionary operator; Green’s function; large deviations.

            1.  Introduction
                We offer to use models of branching random walks (BRWs) for a study of
            the  dynamics  of  stochastic  lattice  systems.  Continuous-time  BRWs  on
            multidimensional  lattices  provide  an  important  example  of  stochastic
            multicompartment systems in which the evolutionary processes depend on
            the spatial dynamics and the structure of a medium. The dynamics of such
            processes is usually described in terms of birth, death and walks of particles
            on the lattice ℤ ,  ≥ 1. The structure of a medium is defined by the particle
                           
            offspring reproduction law at the lattice points called branching sources. Such
            a  description  covers  various  applications  of  BRWs  (Zel’dovich  et  al.,  1988;
            Cranston et al., 2009; Ermakova et al., 2019).


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