From the 1 of 7 linked papers with an AI index.
7 papers
Exact collective first-passage statistics of N trail-interacting walkers
Paul Pineau, Julien Brémont, Olivier Bénichou +1
The paper derives exact formulas for the first‑passage times and splitting probabilities of N one‑dimensional random walkers that interact through a shared, persistent trail field,…
Aging Record Statistics in Saturating Self-Interacting Random Walks
J. Brémont, R. Voituriez, O. Bénichou
The record age tau_k, defined as the time between the k-th and k+1-st record-breaking events, is a central observable of extreme-value statistics. In Markovian processes, the absen…
Number of local minima in discrete-time fractional Brownian motion
Maxim Dolgushev, Olivier Bénichou
The analysis of local minima in time series data and random landscapes is essential across numerous scientific disciplines, offering critical insights into system dynamics. Recentl…
Beyond the Arcsine Law: Exact Two-Time Statistics of the Occupation Time in Jump Processes
Arthur Plaud, Olivier Bénichou
Occupation times quantify how long a stochastic process remains in a region, and their single-time statistics are famously given by the arcsine law for Brownian and Lévy processes…
Flips Reveal the Universal Impact of Memory on Random Explorations
Julien Brémont, Léo Régnier, Alex Barbier--Chebbah +2
Quantifying space exploration is a central question in random walk theory, with direct applications ranging from animal foraging, diffusion-limited reactions, and intracellular tra…
First-Passage Observables of -dimensional Confined Jump Processes
Jérémie Klinger, Olivier Bénichou, Raphaël Voituriez
First-passage observables (FPO) are central to understanding stochastic processes in confined domains, with applications spanning chemical reaction kinetics, foraging behavior, and…