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In this paper, we are interested in a general equation that has finite speed of propagation compatible with Einstein's theory of special relativity. This equation without external force fields has been derived recently by means of optimal…

偏微分方程分析 · 数学 2015-08-18 Manh Hong Duong

In this paper, we present a numerical approach to solve the McKean-Vlasov equations, which are distribution-dependent stochastic differential equations, under some non-globally Lipschitz conditions for both the drift and diffusion…

数值分析 · 数学 2023-05-30 Qian Guo , Jie He , Lei Li

Random walkers characterized by random positions and random velocities lead to normal diffusion. A random walk was originally proposed by Einstein to model Brownian motion and to demonstrate the existence of atoms and molecules. Such a…

统计力学 · 物理学 2018-08-01 Daniel Escaff , Raul Toral , Christian Van den Broeck , Katja Lindenberg

We use probabilistic methods to study properties of mean-field models, arising as large-scale limits of certain particle systems with mean-field interaction. The underlying particle system is such that $n$ particles move forward on the real…

概率论 · 数学 2022-04-19 Alexander Stolyar

In molecular dynamics simulations under periodic boundary conditions, particle positions are typically wrapped into a reference box. For diffusion coefficient calculations using the Einstein relation, the particle positions need to be…

计算物理 · 物理学 2020-08-26 Sören von Bülow , Jakob Tómas Bullerjahn , Gerhard Hummer

In this paper, we study the existence and stability of travelling wave solutions of a kinetic reaction-transport equation. The model describes particles moving according to a velocity-jump process, and proliferating thanks to a reaction…

偏微分方程分析 · 数学 2014-08-12 Emeric Bouin , Vincent Calvez , Grégoire Nadin

We propose a variety of models of random walk, discrete in space and time, suitable for simulating stable random variables of arbitrary index $\alpha$ ($0< \alpha \le 2$), in the symmetric case. We show that by properly scaled transition to…

统计力学 · 物理学 2009-10-31 Rudolf Gorenflo , Gianni De Fabritiis , Francesco Mainardi

We study the quantitative convergence of drift-diffusion PDEs that arise as Wasserstein gradient flows of linearly convex functions over the space of probability measures on ${\mathbb R}^d$. In this setting, the objective is in general not…

最优化与控制 · 数学 2025-07-17 Lénaïc Chizat , Maria Colombo , Xavier Fernández-Real

We discuss the superluminal problem in the diffusion of ultra high energy protons with energy losses taken into account. The phenomenological solution of this problem is found with help of the generalized J\"uttner propagator, originally…

天体物理学 · 物理学 2010-07-30 R. Aloisio , V. Berezinsky , A. Gazizov

The one-dimensional motion of any number $\cN$ of particles in the field of many independent waves (with strong spatial correlation) is formulated as a second-order system of stochastic differential equations, driven by two Wiener…

概率论 · 数学 2014-04-10 Yves Elskens , Etienne Pardoux

In this paper, we develop a model to describe the generalized wave-particle instability in a quasi-neutral plasma. We analyze the quasi-linear diffusion equation for particles by expressing an arbitrary unstable and resonant wave mode as a…

空间物理 · 物理学 2020-10-22 Seong-Yeop Jeong , Daniel Verscharen , Robert T. Wicks , Andrew N. Fazakerley

Recent studies have shown that in the presence of noise both fronts propagating into a metastable state and so-called pushed fronts propagating into an unstable state, exhibit diffusive wandering about the average position. In this paper we…

统计力学 · 物理学 2016-08-31 Andrea Rocco , Jaume Casademunt , Ute Ebert , Wim van Saarloos

The various types of generalized Cattaneo, called also telegrapher's equation, are studied. We find conditions under which solutions of the equations considered so far can be recognized as probability distributions, \textit{i.e.} are…

统计力学 · 物理学 2020-08-19 K. Górska , A. Horzela , E. K. Lenzi , G. Pagnini , T. Sandev

In this paper we introduce a model describing diffusion of species by a suitable regularization of a "forward-backward" parabolic equation. In particular, we prove existence and uniqueness of solutions, as well as continuous dependence on…

偏微分方程分析 · 数学 2015-08-14 Elena Bonetti , Pierluigi Colli , Giuseppe Tomassetti

The porous media equation has been proposed as a phenomenological ``non-extensive'' generalization of classical diffusion. Here, we show that a very similar equation can be derived, in a systematic manner, for a classical fluid by assuming…

统计力学 · 物理学 2007-05-23 James F. Lutsko , Jean Pierre Boon

Monte Carlo (MC) simulations of transport in random porous networks indicate that for high variances of the log-normal permeability distribution, the transport of a passive tracer is non-Fickian. Here we model this non-Fickian dispersion in…

计算物理 · 物理学 2018-08-01 Amir H. Delgoshaie , Patrick Jenny , Hamdi A. Tchelepi

We establish an unexpected phenomenon of strong regularization along normal convergence on Wiener chaoses. For every sequence of chaotic random variables, convergence in law to the Gaussian distribution is upgraded to superconvergence: the…

概率论 · 数学 2024-06-21 Ronan Herry , Dominique Malicet , Guillaume Poly

We consider a non-Gaussian stochastic process where a particle diffuses in the $y$-direction, $dy/dt=\eta(t)$, subject to a transverse shear flow in the $x$-direction, $dx/dt=f(y)$. Absorption with probability $p$ occurs at each crossing of…

统计力学 · 物理学 2009-11-11 Alan J. Bray , Satya N. Majumdar

A continuous Markovian model for truncated Levy random walks is proposed. It generalizes the approach developed previously by Lubashevsky et al. Phys. Rev. E 79, 011110 (2009); 80, 031148 (2009), Eur. Phys. J. B 78, 207 (2010) allowing for…

统计力学 · 物理学 2015-05-27 Ihor Lubashevsky

We introduce a discrete-time random walk model on a one-dimensional lattice with a nonconstant sojourn time and prove that the discrete density converges to a solution of a continuum diffusion equation. Our random walk model is not…

偏微分方程分析 · 数学 2023-02-14 Jaywan Chung , Yong-Jung Kim , Min-Gi Lee
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