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Article Dans Une Revue Journal of Statistical Mechanics: Theory and Experiment Année : 2021

Survival probability of a run-and-tumble particle in the presence of a drift

Résumé

We consider a one-dimensional run-and-tumble particle, or persistent random walk, in the presence of an absorbing boundary located at the origin. After each tumbling event, which occurs at a constant rate gamma, the (new) velocity of the particle is drawn randomly from a distribution W(v). We study the survival probability S(x, t) of a particle starting from x > 0 up to time t and obtain an explicit expression for its double Laplace transform (with respect to both x and t) for an arbitrary velocity distribution W(v), not necessarily symmetric. This result is obtained as a consequence of Spitzer's formula, which is well known in the theory of random walks and can be viewed as a generalization of the Sparre Andersen theorem. We then apply this general result to the specific case of a two-state particle with velocity +/- v (0), the so-called persistent random walk (PRW), and in the presence of a constant drift mu and obtain an explicit expression for S(x, t), for which we present more detailed results. Depending on the drift mu, we find a rich variety of behaviors for S(x, t), leading to three distinct cases: (i) subcritical drift -v (0) mu < v (0), (ii) supercritical drift mu < -v (0) and (iii) critical drift mu = -v (0). In these three cases, we obtain exact analytical expressions for the survival probability S(x, t) and establish connections with existing formulae in the mathematics literature. Finally, we discuss some applications of these results to record statistics and to the statistics of last-passage times.
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Dates et versions

hal-03223973 , version 1 (16-12-2023)

Identifiants

Citer

Benjamin de Bruyne, Satya N. Majumdar, Gregory Schehr. Survival probability of a run-and-tumble particle in the presence of a drift. Journal of Statistical Mechanics: Theory and Experiment, 2021, 4, pp.043211. ⟨10.1088/1742-5468/abf5d5⟩. ⟨hal-03223973⟩
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