Mutually excited random walks
Noam Berger, Eviatar B. Procaccia

TL;DR
This paper studies a model of two mutually influencing random walks on integers, proving positive speed for certain parameters, providing an algorithm to approximate speed, and demonstrating non-monotonic behavior in their velocities.
Contribution
It introduces a novel model of mutually excited random walks, proves positive speed in a specific parameter range, and develops an algorithm to approximate and analyze their non-monotonic velocities.
Findings
Proves positive speed for $1/2<p<1$.
Provides an algorithm to approximate the walks' speed.
Shows the non-monotonicity of the speed with respect to parameter p.
Abstract
Consider two random walks on . The transition probabilities of each walk is dependent on trajectory of the other walker i.e. a drift is obtained in a position the other walker visited twice or more. This simple model has a speed which is, according to simulations, not monotone in , without apparent "trap" behaviour. In this paper we prove the process has positive speed for , and present a deterministic algorithm to approximate the speed and show the non-monotonicity.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Diffusion and Search Dynamics · Theoretical and Computational Physics
