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It is well understood that, when numerically simulating SDEs with general noise, achieving a strong convergence rate better than $O(\sqrt{h})$ (where h is the step size) requires the use of certain iterated integrals of Brownian motion,…

机器学习 · 统计学 2026-01-01 Andraž Jelinčič , Jiajie Tao , William F. Turner , Thomas Cass , James Foster , Hao Ni

In this paper, we show an approximation in law of the complex Brownian motion by processes constructed from a stochastic process with independent increments. We give sufficient conditions for the characteristic function of the process with…

概率论 · 数学 2013-08-28 Xavier Bardina , Carles Rovira

We present a new method to sample conditioned trajectories of a system evolving under Langevin dynamics, based on Brownian bridges. The trajectories are conditioned to end at a certain point (or in a certain region) in space. The bridge…

数学物理 · 物理学 2022-08-17 Patrice Koehl , Henri Orland

The goal of this paper is to derive a formula for the finite dimensional joint characteristic function (the Fourier transform of the finite dimensional distribution) of the coupled process ${(W_{t},L_{t}^{A}):t\in \lbrack 0,\infty)}$, where…

概率论 · 数学 2012-06-07 Xi Geng , Zhongmin Qian

The paper studies the question of whether the classical mirror and synchronous couplings of two Brownian motions minimise and maximise, respectively, the coupling time of the corresponding geometric Brownian motions. We establish a…

概率论 · 数学 2013-10-21 Saul D. Jacka , Aleksandar Mijatovic , Dejan Siraj

This work studies the spatial derivatives of decoupling fields to strongly coupled forward-backward stochastic differential equations in a Brownian setting. We formally deduce the backward dynamics of the first and higher spatial…

概率论 · 数学 2018-05-01 Alexander Fromm

We propose a method to exactly generate Brownian paths $x_c(t)$ that are constrained to return to the origin at some future time $t_f$, with a given fixed area $A_f = \int_0^{t_f}dt\, x_c(t)$ under their trajectory. We derive an exact…

统计力学 · 物理学 2022-01-06 Benjamin De Bruyne , Satya N. Majumdar , Henri Orland , Gregory Schehr

Brownian motion in one or more dimensions is extensively used as a stochastic process to model natural and engineering signals, as well as financial data. Most works dealing with multidimensional Brownian motion consider the different…

We provide a new, concise proof of weak existence and uniqueness of solutions to the stochastic differential equation for the multidimensional skew Brownian motion. We also present an application to Brownian particles with skew-elastic…

概率论 · 数学 2014-02-25 Rami Atar , Amarjit Budhiraja

We give necessary and sufficient conditions guaranteeing that the coupling for L\'evy processes (with non-degenerate jump part) is successful. Our method relies on explicit formulae for the transition semigroup of a compound Poisson process…

概率论 · 数学 2015-05-19 René L. Schilling , Jian Wang

In this paper, we analyze a L{\'e}vy model based on two popular concepts - subordination and L{\'e}vy copulas. More precisely, we consider a two-dimensional L{\'e}vy process such that each component is a time-changed (subordinated) Brownian…

统计理论 · 数学 2015-03-10 Vladimir Panov , Igor Sirotkin

This study aims to construct a stochastic process called "Brownian house-moving," which is a Brownian bridge conditioned to stay between two curves. To construct this process, statements are prepared on the weak convergence of conditioned…

概率论 · 数学 2024-11-01 Kensuke Ishitani , Daisuke Hatakenaka , Keisuke Suzuki

We use the system-plus-reservoir approach to study the dynamics of a system composed of two independent Brownian particles. We present an extension of the well-known model of a bath of oscillators which is capable of inducing an effective…

统计力学 · 物理学 2009-11-11 O. S. Duarte , A. O. Caldeira

This paper is devoted to the synchronization of stochastic differential equations driven by the linear multiplicative fractional Brownian motion with Hurst parameter $H\in(\frac{1}{2},1)$. We firstly prove that the equation has a unique…

概率论 · 数学 2023-12-12 Wei Wei , Hongjun Gao , Qiyong Cao

We study optimal Markovian couplings of Markov processes, where the optimality is understood in terms of minimization of concave transport costs between the time-marginal distributions of the coupled processes. We provide explicit…

概率论 · 数学 2022-10-21 Wilfrid S. Kendall , Mateusz B. Majka , Aleksandar Mijatović

Benjamini, Burdzy and Chen (2007) introduced the notion of a shy coupling: a coupling of a Markov process such that, for suitable starting points, there is a positive chance of the two component processes of the coupling staying a positive…

概率论 · 数学 2015-03-13 Wilfrid S. Kendall

We present a theory for the steady-state dynamics of a two-dimensional system of spherically symmetric active Brownian particles. The derivation of the theory consists of two steps. First, we integrate out the self-propulsions and obtain a…

软凝聚态物质 · 物理学 2019-05-01 Grzegorz Szamel

We study a family of quantum analogs of L\'evy's stochastic area for planar Brownian motion depending on a variance parameter $\sigma \geq 1$ which deform to the classical L\'evy area as $\sigma\rightarrow\infty$. They are defined as second…

概率论 · 数学 2016-06-21 Robin Hudson , Uwe Schauz , Yue Wu

Let X and Y be two simple symmetric continuous-time random walks on the vertices of the n-dimensional hypercube. We consider the class of co-adapted couplings of these processes, and describe an intuitive coupling which is shown to be the…

概率论 · 数学 2008-10-16 Stephen B. Connor , Saul D. Jacka

Large classes of multi-dimensional Gaussian processes can be enhanced with stochastic Levy area(s). In a previous paper, we gave sufficient and essentially necessary conditions, only involving variational properties of the covariance.…

概率论 · 数学 2007-11-06 Peter Friz , Nicolas Victoir