Mean number of encounters of N random walkers and intersection of strongly anisotropic fractals
Loic Turban

TL;DR
This paper analyzes the mean encounters of multiple random walkers in a subspace and explores the intersection properties of strongly anisotropic fractals to understand their long-term behavior.
Contribution
It introduces a continuum approximation and Monte Carlo simulations to evaluate encounters and develops a framework for intersecting anisotropic fractals.
Findings
Analytical expression for mean encounters E_N(t)
Numerical validation in 1D and 2D
Long-time behavior characterized through fractal intersections
Abstract
We study the mean number of encounters up to time t, E_N(t), taking place in a subspace with dimension d* of a d-dimensional lattice, for N independent random walkers starting simultaneously from the same origin. E_N is first evaluated analytically in a continuum approximation and numerically through Monte Carlo simulations in one and two dimensions. Then we introduce the notion of the intersection of strongly anisotropic fractals and use it to calculate the long-time behaviour of E_N.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Diffusion and Search Dynamics · Mathematical Dynamics and Fractals
