Estimation of the average particle flux in a stochastically homogeneous medium by Monte Carlo method

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Abstract

The paper is focused on the study of the superexponential growth of the average number of particles in a stochastically homogeneous propagating medium. A mosaic Voronoi field ('mosaic') is considered as a random density model. The notion of 'effective' correlation radius is introduced to compare the results with previously obtained estimates of superexponential parameters for a spherically symmetric layered mosaic. It is shown that transition from the layered random density model to a chaotic one preserving the correlation scale and one-dimensional distribution weakens the 'superexponential' property of the particle flux.

Original languageEnglish
Pages (from-to)363-371
Number of pages9
JournalRussian Journal of Numerical Analysis and Mathematical Modelling
Volume37
Issue number6
DOIs
Publication statusPublished - 1 Dec 2022

Keywords

  • particle flow
  • random medium
  • Statistical simulation
  • time asymptotics
  • Voronoi mosaic

OECD FOS+WOS

  • 1.01 MATHEMATICS

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