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Brownian motion is a Gaussian process described by the central limit theorem. However, exponential decays of the positional probability density function $P(X,t)$ of packets of spreading random walkers, were observed in numerous situations…

统计力学 · 物理学 2020-02-18 Eli Barkai , Stanislav Burov

Overdamped Brownian motion of a self-propelled particle is studied by solving the Langevin equation analytically. On top of translational and rotational diffusion, in the context of the presented model, the "active" particle is driven along…

软凝聚态物质 · 物理学 2013-05-15 Borge ten Hagen , Sven van Teeffelen , Hartmut Löwen

Consider branching Brownian motion in which we begin with one particle at the origin, particles independently move according to Brownian motion, and particles split into two at rate one. It is well-known that the right-most particle at time…

概率论 · 数学 2024-06-10 Julien Berestycki , Jiaqi Liu , Bastien Mallein , Jason Schweinsberg

The conditional density of Brownian motion is considered given the max, B(t|\max), as well as those with additional information: B(t|close, max), B(t|close, max, min) and B(t|max, min) where the close is the final value: B(t=1)=c and t in…

概率论 · 数学 2020-11-03 Kurt S Riedel

We study the statistics of near-extreme events of Brownian motion (BM) on the time interval [0,t]. We focus on the density of states (DOS) near the maximum \rho(r,t) which is the amount of time spent by the process at a distance r from the…

统计力学 · 物理学 2013-12-16 Anthony Perret , Alain Comtet , Satya N. Majumdar , Gregory Schehr

We study the first-passage time, the distribution of the maximum, and the absorption probability of fractional Brownian motion of Hurst parameter $H$ with both a linear and a non-linear drift. The latter appears naturally when applying…

统计力学 · 物理学 2020-08-12 Maxence Arutkin , Benjamin Walter , Kay Joerg Wiese

We calculate crossing probabilities and one-sided last exit time densities for a class of moving barriers on an interval $[0,T]$ via Schwartz distributions. We derive crossing probabilities and first hitting time densities for another class…

概率论 · 数学 2008-08-28 Nabil Kahale

We consider a Brownian particle moving on a ring. We study the probability distributions of the total number of turns and the net number of counter-clockwise turns the particle makes till time t. Using a method based on the renewal…

统计力学 · 物理学 2014-11-03 Anupam Kundu , Alain Comtet , Satya N. Majumdar

We consider a one-dimensional stationary time series of fixed duration $T$. We investigate the time $t_{\rm m}$ at which the process reaches the global maximum within the time interval $[0,T]$. By using a path-decomposition technique, we…

统计力学 · 物理学 2022-11-23 Francesco Mori , Satya N. Majumdar , Gregory Schehr

We study the maximum of a Brownian motion with a parabolic drift; this is a random variable that often occurs as a limit of the maximum of discrete processes whose expectations have a maximum at an interior point. We give series expansions…

概率论 · 数学 2010-02-03 Svante Janson , Guy Louchard , Anders Martin-Löf

The probability distribution of the maximum $M_t$ of a single resetting Brownian motion (RBM) of duration $t$ and resetting rate $r$, properly centred and scaled, is known to converge to the standard Gumbel distribution of the classical…

统计力学 · 物理学 2026-01-19 Alexander K. Hartmann , Satya N. Majumdar , Gregory Schehr

As a first step toward a characterization of the limiting extremal process of branching Brownian motion, we proved in a recent work [Comm. Pure Appl. Math. 64 (2011) 1647-1676] that, in the limit of large time $t$, extremal particles…

概率论 · 数学 2012-09-25 Louis-Pierre Arguin , Anton Bovier , Nicola Kistler

This work is a numerical experiment of stochastic motion of conservative Hamiltonian system or weakly damped Brownian particles. The objective is to prove the existence of path probability and to compute its values. By observing a large…

统计力学 · 物理学 2012-02-09 Lin Tongling , Pujos Cyril , Ou Congjie , Bi Wenping , Calvayrac Florent , Wang Qiuping A

We study the one dimensional branching Brownian motion starting at the origin and investigate the correlation between the rightmost ($X_{\max}\geq 0$) and leftmost ($X_{\min} \leq 0$) visited sites up to time $t$. At each time step the…

统计力学 · 物理学 2015-04-27 Kabir Ramola , Satya N. Majumdar , Gregory Schehr

We investigate a moving boundary problem for a Brownian particle on the semi-infinite line in which the boundary moves by a distance proportional to the time between successive collisions of the particle and the boundary. Phenomenologically…

统计力学 · 物理学 2025-01-14 B. De Bruyne , J. Randon-Furling , S. Redner

Motivated by recent studies of record statistics in relation to strongly correlated time series, we consider explicitly the drawdown time of a Levy process, which is defined as the time since it last achieved its running maximum when…

概率论 · 数学 2020-02-27 Richard J. Martin , Michael J. Kearney

Let (Xt, t >= 0) be a diffusion process with jumps, sum of a Brownian motion with drift and a compound Poisson process. We consider T_x the first hitting time of a fixed level x > 0 by (Xt, t >= 0). We prove that the law of T_x has a…

概率论 · 数学 2012-01-13 Laure Coutin , Diana Dorobantu

We consider three global characteristic times for a one-dimensional Brownian motion $x(\tau)$ in the interval $\tau\in [0,t]$: the occupation time $t_{\rm o}$ denoting the cumulative time where $x(\tau)>0$, the time $t_{\rm m}$ at which the…

统计力学 · 物理学 2025-05-01 Alexander K. Hartmann , Satya N. Majumdar

In this work we consider a one-dimensional Brownian motion with constant drift moving among a Poissonian cloud of obstacles. Our main result proves convergence of the law of processes conditional on survival up to time $t$ as $t$ converges…

概率论 · 数学 2015-03-10 Martin Kolb , Mladen Savov

We prove a central limit theorem for the momentum distribution of a particle undergoing an unbiased spatially periodic random forcing at exponentially distributed times without friction. The start is a linear Boltzmann equation for the…

数学物理 · 物理学 2015-05-14 Jeremy Clark , Christian Maes