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Related papers: An isoperimetric inequality for the Wiener sausage

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We consider the Wiener sausage for a Brownian motion up to time $t$ associated with a closed ball in even dimensional cases. We obtain the asymptotic expansion of the expected volume of the Wiener sausage for large $t$. The result says that…

Probability · Mathematics 2014-02-05 Yuji Hamana

We consider the Wiener sausage for a Brownian motion with a constant drift up to time $t$ associated with a closed ball. In the two or more dimensional cases, we obtain the explicit form of the expected volume of the Wiener sausage. The…

Probability · Mathematics 2015-12-14 Yuji Hamana , Hiroyuki Matsumoto

Let $X_t = B_t + \mu t$, $t \geq 0$, be planar Brownian motion with nonzero drift, and let $K_t^r = \{x \in \mathbb{R}^2 : {\rm dist}(x, X[0,t]) \leq r\}$ be the radius-$r$ Wiener sausage up to time $t$. For a bounded Borel function $\psi$…

Probability · Mathematics 2026-04-23 Tristan Guillaume

The branching Brownian sausage in $\mathbb{R}^d$ was defined by Engl\"ander in [Stoch. Proc. Appl. 88 (2000)] similarly to the classical Wiener sausage, as the random subset of $\mathbb{R}^d$ scooped out by moving balls of fixed radius with…

Probability · Mathematics 2019-11-26 Mehmet Öz

We study the persistent homology of the offset filtration generated by the range of a planar Brownian motion with constant nonzero drift. The members of this filtration are the Wiener sausages of increasing radius, and the degree-one…

Probability · Mathematics 2026-04-06 Tristan Guillaume

A parallel neighborhood of a path of a Brownian motion is sometimes called the Wiener sausage. We consider almost sure approximations of this random set by a sequence of random polyconvex sets and show that the convergence of the…

Probability · Mathematics 2009-10-21 Jan Rataj , Evgeny Spodarev , Daniel Meschenmoser

The Wiener Sausage, the volume traced out by a sphere attached to a Brownian particle, is a classical problem in statistics and mathematical physics. Initially motivated by a range of field-theoretic, technical questions, we present a…

Statistical Mechanics · Physics 2017-09-01 Stefan Nekovar , Gunnar Pruessner

We extend generalized isoperimetric-type inequalities to iterated Brownian motion over several domains in $\RR{R}^{n}$. These kinds of inequalities imply in particular that for domains of finite volume, the exit distribution and moments of…

Probability · Mathematics 2008-02-06 Erkan Nane

We consider the Wiener sausage among Poissonian obstacles. The obstacle is called hard if Brownian motion entering the obstacle is immediately killed, and is called soft if it is killed at certain rate. It is known that Brownian motion…

Probability · Mathematics 2008-11-18 Ryoki Fukushima

In this paper we prove that the centered three-dimensional Wiener sausage can be strongly approximated by a one-dimensional Brownian motion running at a suitable time clock. The strong approximation gives all possible laws of iterated…

Probability · Mathematics 2007-05-23 Endre Csáki , Yueyun Hu

We extend to the vector-valued situation some earlier work of Ciesielski and Roynette on the Besov regularity of the paths of the classical Brownian motion. We also consider a Brownian motion as a Besov space valued random variable. It…

Probability · Mathematics 2008-01-21 Tuomas Hytonen , Mark Veraar

For a>0,let W^a(t) be the a-neighbourhood of standard Brownian motion in R^d starting at 0 and observed until time t.It is well-known that E|W^a(t)|~kappa_a t (t->infty) for d >= 3,with kappa_a the Newtonian capacity of the ball with radius…

Probability · Mathematics 2007-05-23 Michiel van den Berg , Erwin Bolthausen , Frank den Hollander

Upper bounds are obtained for the Newtonian capacity of compact sets in $\R^d,\,d\ge 3$ in terms of the perimeter of the $r$-parallel neighbourhood of $K$. For compact, convex sets in $\R^d,\,d\ge 3$ with a $C^2$ boundary the Newtonian…

Analysis of PDEs · Mathematics 2024-05-08 Michiel van den Berg

We provide asymptotic bounds on the survival probability of a moving polymer in an environment of Poisson traps. Our model for the polymer is the vector-valued solution of a stochastic heat equation driven by additive spacetime white noise;…

Probability · Mathematics 2022-12-07 Siva Athreya , Mathew Joseph , Carl Mueller

We prove a convergence theorem for a sequence of super-Brownian motions moving among hard Poissonian obstacles, when the intensity of the obstacles grows to infinity but their diameters shrink to zero in an appropriate manner. The…

Probability · Mathematics 2009-06-10 Amandine Veber

In the present paper, we consider long time behaviors of the volume of the Wiener sausage on Dirichlet spaces. We focus on the volume of the Wiener sausage for diffusion processes on metric measure spaces other than the Euclid space…

Probability · Mathematics 2020-02-25 Kazuki Okamura

We consider connectivity properties of the vacant set of (random) ensembles of Wiener sausages in $\mathbb R^d$ in the transient dimensions $d \geq 3$. We prove that the vacant set of Brownian interlacements contains at most one infinite…

Probability · Mathematics 2024-12-23 Yingxin Mu , Artem Sapozhnikov

We give an effective upper escape rate function for Brownian motion on a complete Riemannian manifold in terms of the volume growth of the manifold. An important step in the work is estimating the small tail probability of the crossing time…

Probability · Mathematics 2010-10-19 Elton P. Hsu , Guangnan Qin

In this paper, we consider a $d$-dimensional continuous It\^{o} process which is observed at $n$ regularly spaced times on a given time interval $[0,T]$. This process is driven by a multidimensional Wiener process and our aim is to provide…

Statistics Theory · Mathematics 2008-12-18 Jean Jacod , Antoine Lejay , Denis Talay

The volume of a Wiener sausage constructed from a diffusion process with periodic, mean-zero, divergence-free velocity field, in dimension 3 or more, is shown to have a non-random and positive asymptotic rate of growth. This is used to…

Probability · Mathematics 2010-03-26 P. H. Haynes , V. H. Hoang , J. R. Norris , K. C. Zygalakis
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