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相关论文: Large deviations in statistics of the convex hull …

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We study the convex hull of the set of points visited by a two-dimensional random walker of T discrete time steps. Two natural observables that characterize the convex hull in two dimensions are its perimeter L and area A. While the mean…

统计力学 · 物理学 2015-06-11 Gunnar Claussen , Alexander K. Hartmann , Satya N. Majumdar

We study the polygons governing the convex hull of a point set created by the steps of $n$ independent two-dimensional random walkers. Each such walk consists of $T$ discrete time steps, where $x$ and $y$ increments are i.i.d. Gaussian. We…

统计力学 · 物理学 2016-11-23 Timo Dewenter , Gunnar Claussen , Alexander K. Hartmann , Satya N. Majumdar

The distribution of the hypervolume $V$ and surface $\partial V$ of convex hulls of (multiple) random walks in higher dimensions are determined numerically, especially containing probabilities far smaller than $P = 10^{-1000}$ to estimate…

统计力学 · 物理学 2017-12-06 Hendrik Schawe , Alexander K. Hartmann , Satya N. Majumdar

A global picture of a random particle movement is given by the convex hull of the visited points. We obtained numerically the probability distributions of the volume and surface of the convex hulls of a selection of three types of…

统计力学 · 物理学 2018-07-04 Hendrik Schawe , Alexander K. Hartmann , Satya N. Majumdar

We study the distribution of the area and perimeter of the convex hull of the "true" self-avoiding random walk in a plane. Using a Markov chain Monte Carlo sampling method, we obtain the distributions also in their far tails, down to…

统计力学 · 物理学 2019-10-31 Hendrik Schawe , Alexander K. Hartmann

We study the long-time tails of the survival probability $P(t)$ of an $A$ particle diffusing in $d$-dimensional media in the presence of a concentration $\rho$ of traps $B$ that move sub-diffusively, such that the mean square displacement…

统计力学 · 物理学 2009-11-13 S. B. Yuste , G. Oshanin , K. Lindenberg , O. Benichou , J. Klafter

Branching random walks on multidimensional lattice with heavy tails and a constant branching rate are considered. It is shown that under these conditions (heavy tails and constant rate), the front propagates exponentially fast, but the…

概率论 · 数学 2016-03-02 A. Getan , S. Molchanov , B. Vainberg

We study the statistical properties of the convex hull of a planar run-and-tumble particle (RTP), also known as the "persistent random walk", where the particle/walker runs ballistically between tumble events at which it changes its…

统计力学 · 物理学 2020-05-25 Alexander K Hartmann , Satya N Majumdar , Hendrik Schawe , Grégory Schehr

Given a branching random walk $(Z_n)_{n\geq0}$ on $\mathbb{R}$, let $Z_n(A)$ be the number of particles located in interval $A$ at generation $n$. It is well known (e.g., \cite{biggins}) that under some mild conditions, $Z_n(\sqrt…

概率论 · 数学 2020-12-02 Shuxiong Zhang

We study analytically the order and gap statistics of particles at time $t$ for the one dimensional branching Brownian motion, conditioned to have a fixed number of particles at $t$. The dynamics of the process proceeds in continuous time…

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

We compute exactly the mean perimeter and area of the convex hull of N independent planar Brownian paths each of duration T, both for open and closed paths. We show that the mean perimeter < L_N > = \alpha_N, \sqrt{T} and the mean area…

统计力学 · 物理学 2015-05-13 Julien Randon-Furling , Satya N. Majumdar , Alain Comtet

We consider an overdamped particle with a general physical mechanism that creates noisy active movement (e.g., a run-and-tumble particle or active Brownian particle etc.), that is confined by an external potential. Focusing on the limit in…

统计力学 · 物理学 2023-08-23 Naftali R. Smith

The $N$-particle branching random walk is a discrete time branching particle system with selection. We have $N$ particles located on the real line at all times. At every time step each particle is replaced by two offspring, and each…

概率论 · 数学 2021-02-25 Sarah Penington , Matthew I. Roberts , Zsófia Talyigás

We consider a Brownian particle with diffusion coefficient $D$ in a $d$-dimensional ball of radius $R$ with reflecting boundaries. We study the maximum $M_x(t)$ of the trajectory of the particle along the $x$-direction at time $t$. In the…

统计力学 · 物理学 2022-06-13 Benjamin De Bruyne , Olivier Bénichou , Satya N. Majumdar , Gregory Schehr

We consider a system of $N$ particles on the real line that evolves through iteration of the following steps: 1) every particle splits into two, 2) each particle jumps according to a prescribed displacement distribution supported on the…

概率论 · 数学 2015-03-24 Jean Bérard , Pascal Maillard

For the perimeter length and the area of the convex hull of the first $n$ steps of a planar random walk, we study $n \to \infty$ mean and variance asymptotics and establish non-Gaussian distributional limits. Our results apply to random…

概率论 · 数学 2015-09-25 Andrew R. Wade , Chang Xu

We prove large deviations principles (LDPs) for the perimeter and the area of the convex hull of a planar random walk with finite Laplace transform of its increments. We give explicit upper and lower bounds for the rate function of the…

概率论 · 数学 2021-04-05 Arseniy Akopyan , Vladislav Vysotsky

We study analytically the asymptotic behaviour of the average probability P(n,t) for the trajectory of a 2D Brownian particle wandering in the presence of randomly distributed traps to wind n times around a given point after a time t. It is…

统计力学 · 物理学 2009-10-31 K. Samokhin

We study the probability distribution $P(A)$ of the area $A=\int_0^T x(t) dt$ swept under fractional Brownian motion (fB\ m) $x(t)$ until its first passage time $T$ to the origin. The process starts at $t=0$ from a specified point $x=L$. We…

统计力学 · 物理学 2024-02-20 A. K. Hartmann , B. Meerson

We study the convex hull of the first $n$ steps of a planar random walk, and present large-$n$ asymptotic results on its perimeter length $L_n$, diameter $D_n$, and shape. In the case where the walk has a non-zero mean drift, we show that…

概率论 · 数学 2018-12-27 James McRedmond , Andrew R. Wade
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