works on

From the 1 of 6 linked papers with an AI index.

activity
20242026
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6 papers

cond-mat.stat-mech2026

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,…

cond-mat.stat-mech2026

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…

cond-mat.stat-mech2026

Beyond Poisson: First-Passage Asymptotics of Renewal Shot Noise

Julien Brémont

The first-passage time (FPT) of a stochastic signal to a threshold is a fundamental observable across physics, biology, and finance. While renewal shot noise is a canonical model f…

cond-mat.stat-mech2025

Exploration and aging of non-Markovian processes

Julien Brémont

This thesis explores a central question: how does memory affect the way random walkers explore space? By analyzing various non-Markovian models, where past behavior directly influe…

cond-mat.stat-mech2025

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…

cond-mat.stat-mech2024

Persistence exponents of self-interacting random walks

Julien Brémont, Léo Régnier, Olivier Bénichou +1

The persistence exponent, which characterises the long-time decay of the survival probability of stochastic processes in the presence of an absorbing target, plays a key role in qu…