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Brownian motion with stochastic resetting-a process combining standard diffusion with random returns to a fixed position-has emerged as a powerful framework with applications spanning statistical physics, chemical kinetics, biology, and…

统计力学 · 物理学 2025-08-18 Yihao Wang , Hanshuang Chen

We consider a one-dimensional Brownian motion of fixed duration $T$. Using a path-integral technique, we compute exactly the probability distribution of the difference $\tau=t_{\min}-t_{\max}$ between the time $t_{\min}$ of the global…

统计力学 · 物理学 2020-05-13 Francesco Mori , Satya N. Majumdar , Gregory Schehr

An open problem of interest, first infused into the applied probability community in the work of Bingham and Doney in 1988, (see \cite{Bingham}) is stated as follows: find the distribution of the quadrant occupation time of planar Brownian…

概率论 · 数学 2016-08-16 Philip Ernst , Larry Shepp

The random acceleration model is one of the simplest non-Markovian stochastic systems and has been widely studied in connection with applications in physics and mathematics. However, the occupation time and related properties are…

For drifted Brownian motion $X(t)= x - \mu t + B_t \ (\mu >0)$ starting from $x>0,$ we study the joint distribution of the first-passage time below zero, $\tau(x),$ and the first-passage area, $A(x),$ swept out by $X$ till the time…

概率论 · 数学 2017-03-01 Mario Abundo , Danilo Del Vescovo

The three arcsine laws for Brownian motion are a cornerstone of extreme-value statistics. For a Brownian $B_t$ starting from the origin, and evolving during time $T$, one considers the following three observables: (i) the duration $t_+$ the…

统计力学 · 物理学 2018-01-31 Tridib Sadhu , Mathieu Delorme , Kay Jörg Wiese

We consider the occupation area of spherical (fractional) Brownian motion, i.e. the area where the process is positive, and show that it is uniformly distributed. For the proof, we introduce a new simple combinatorial view on occupation…

概率论 · 数学 2024-06-17 Frank Aurzada , Leif Döring , Helmut H. Pitters

The 'Arcsine' laws of Brownian particles in one dimension describe distributions of three quantities: the time $t_m$ to reach maximum position, the time $t_r$ spent on the positive side and the time $t_\ell$ of the last visit to the origin.…

统计力学 · 物理学 2020-10-07 Prashant Singh , Anupam Kundu

We present an exact solution for the probability density function $P(\tau=t_{\min}-t_{\max}|T)$ of the time-difference between the minimum and the maximum of a one-dimensional Brownian motion of duration $T$. We then generalise our results…

统计力学 · 物理学 2020-04-20 Francesco Mori , Satya N. Majumdar , Gregory Schehr

The Arcsine laws of Brownian motion are a collection of results describing three different statistical quantities of one-dimensional Brownian motion: the time at which the process reaches its maximum position, the total time the process…

统计力学 · 物理学 2023-08-03 Toby Kay , Luca Giuggioli

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 L\'evy processes. By contrast, two-time occupation statistics, which…

统计力学 · 物理学 2025-10-31 Arthur Plaud , Olivier Bénichou

We study the probability distribution, $P_N(T)$, of the coincidence time $T$, i.e. the total local time of all pairwise coincidences of $N$ independent Brownian walkers. We consider in details two geometries: Brownian motions all starting…

统计力学 · 物理学 2020-06-12 Alexandre Krajenbrink , Bertrand Lacroix-A-Chez-Toine , Pierre Le Doussal

The joint distribution of maximum increase and decrease for Brownian motion up to an independent exponential time is computed. This is achieved by decomposing the Brownian path at the hitting times of the infimum and the supremum before the…

概率论 · 数学 2007-05-23 Paavo Salminen , Pierre Vallois

We calculate analytically the probability density $P(t_m)$ of the time $t_m$ at which a continuous-time Brownian motion (with and without drift) attains its maximum before passing through the origin for the first time. We also compute the…

统计力学 · 物理学 2008-02-25 Julien Randon-Furling , Satya N. Majumdar

Let $\{B(t), t \geq 0\}$ be a standard Brownian motion in $\mathbb{R}$. Let $T$ be the first return time to 0 after hitting 1, and $\{L(T,x), x \in \mathbb{R}\}$ be the local time process at time $T$ and level $x$. The distribution of…

概率论 · 数学 2014-10-20 Krishna B. Athreya , Raoul Normand , Vivekananda Roy , Sheng-Jhih Wu

We study the probability distribution of the value of geometric Brownian motion at the stochastic observation time. It is known that the exponentially distributed observation time yields the distribution called the double Pareto…

概率论 · 数学 2025-12-05 Ken Yamamoto , Takashi Bando , Hirokazu Yanagawa , Yorhihiro Yamazaki

Classical arcsine law states that fraction of occupation time on the positive or the negative side in Brownian motion does not converge to a constant but converges in distribution to the arcsine distribution. Here, we consider how a…

概率论 · 数学 2020-09-09 Takuma Akimoto , Toru Sera , Kosuke Yamato , Kouji Yano

Let $U$ be a domain, convex in $x$ and symmetric about the y-axis, which is contained in a centered and oriented rectangle $R$. \linebreak If $\tau_A$ is the first exit time of Brownian motion from $A$ and $A^+=A\cap \{(x,y):x>0\}$, it is…

概率论 · 数学 2007-05-23 Majid Hosseini

We establish an integration by parts formula for the semi-group in time $T > 0$ of the kinetic Brownian motion in the Euclidean plane together with its speed in the circle. The stochastic differential equation of our kinetic Brownian motion…

概率论 · 数学 2026-03-19 Magalie Bénéfice , Michel Bonnefont , Marc Arnaudon , Delphine Féral

Let B_1,B_2, ... be independent one-dimensional Brownian motions defined over the whole real line such that B_i(0)=0. We consider the nth iterated Brownian motion W_n(t)= B_n(B_{n-1}(...(B_2(B_1(t)))...)). Although the sequences of…

概率论 · 数学 2011-12-19 Nicolas Curien , Takis Konstantopoulos
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