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The inviscid Burgers equation is one of the simplest nonlinear hyperbolic conservation law which provides a variety examples for many topics in nonlinear partial differential equations such as wave propagation, shocks and perturbation, and…

Analysis of PDEs · Mathematics 2015-05-15 Baver Okutmustur , Tuba Ceylan

We start by introducing a new definition of solutions to heat-based SPDEs driven by space-time white noise: SDDEs (stochastic differential-difference equations) limits solutions. In contrast to the standard direct definition of SPDEs…

Probability · Mathematics 2010-11-09 Hassan Allouba

We present results for the 1 dimensional stochastically forced Burgers equation when the spatial range of the forcing varies. As the range of forcing moves from small scales to large scales, the system goes from a chaotic, structureless…

Chaotic Dynamics · Physics 2009-10-31 F. Hayot , C. Jayaprakash

A stochastic SIR epidemic model taking into account the heterogeneity of the spatial environment is constructed. The deterministic model is given by a partial differential equation and the stochastic one by a space-time jump Markov process.…

Probability · Mathematics 2024-12-10 Thierry Gallouët , Etienne Pardoux , Ténan Yeo

We establish necessary and sufficient conditions for stochastic invariance of closed subsets in Hilbert spaces for solutions to infinite-dimensional stochastic differential equations (SDEs) under mild assumptions on the coefficients. Our…

Probability · Mathematics 2026-02-24 Eduardo Abi Jaber , Stefan Tappe

We study the diffusive expansion for solutions around Maxwellian equilibrium and in a periodic box to the Vlasov-Maxwell-Boltzmann system, the most fundamental model for an ensemble of charged particles. Such an expansion yields a set of…

Analysis of PDEs · Mathematics 2007-05-23 Juhi Jang

We study the behavior of stationary non-equilibrium two-body correlation functions for Diffusive Systems with equilibrium reference states (DSe). We describe a DSe at the mesoscopic level by $M$ locally conserved continuum fields that…

Statistical Mechanics · Physics 2022-08-31 Pedro L. Garrido

Parameter estimation for a parabolic linear stochastic partial differential equation in one space dimension is studied observing the solution field on a discrete grid in a fixed bounded domain. Considering an infill asymptotic regime in…

Statistics Theory · Mathematics 2019-11-26 Florian Hildebrandt , Mathias Trabs

We provide a stochastic representation for a general class of viscous Hamilton-Jacobi (HJ) equations, which has convexity and superlinear nonlinearity in its gradient term, via a type of backward stochastic differential equation (BSDE) with…

Probability · Mathematics 2017-03-09 Andrea Cosso , Huyên Pham , Hao Xing

We consider the stochastically forced Burgers equation with an emphasis on spatially rough driving noise. We show that the law of the process at a fixed time $t$, conditioned on no explosions, is absolutely continuous with respect to the…

Probability · Mathematics 2021-04-16 Jonathan C. Mattingly , Marco Romito , Langxuan Su

We construct non-negative martingale solutions to the stochastic porous medium equation in one dimension with homogeneous Dirichlet boundary conditions which exhibit a type of sticky behavior at zero. The construction uses the stochastic…

Probability · Mathematics 2024-11-12 Ben Hambly , Dörte Kreher , Konstantins Starovoitovs

Nonlinear partial differential equations are central to physics, engineering, and finance. Except in a limited number of integrable cases, their solution generally requires numerical methods whose cost becomes prohibitive in…

Fluid Dynamics · Physics 2026-03-30 Javier Gonzalez-Conde , Daniel Isla , Sergiy Zhuk , Mikel Sanz

In this work, we propose a new semi-Lagrangian (SL) finite difference scheme for nonlinear advection-diffusion problems. To ensure conservation, which is fundamental for achieving physically consistent solutions, the governing equations are…

Numerical Analysis · Mathematics 2025-11-05 Silvia Preda , Walter Boscheri , Matteo Semplice , Maurizio Tavelli

We consider a class of nearest-neighbor weakly asymmetric mass conservative particle systems evolving on $\mathbb{Z}$, which includes zero-range and types of exclusion processes, starting from a perturbation of a stationary state. When the…

Probability · Mathematics 2016-08-14 Patrícia Gonçalves , Milton Jara , Sunder Sethuraman

Unique existence of analytically strong solutions to stochastic partial differential equations (SPDE) with drift given by the subdifferential of a quasi-convex function and with general multiplicative noise is proven. The proof applies a…

Probability · Mathematics 2011-04-22 Benjamin Gess

We describe a new, microscopic model for diffusion that captures diffusion induced fluctuations at scales where the concept of concentration gives way to discrete particles. We show that in the limit as the number of particles $N \to…

Statistical Mechanics · Physics 2015-05-20 Ariel Balter , Alexandre Tartakovsky

Here we establish the central limit theorem for a class of stochastic partial differential equations (SPDEs) and as an application derive this theorem for two widely studied population models known as super-Brownian motion and Fleming-Viot…

Probability · Mathematics 2014-04-22 Parisa Fatheddin

In this article, we investigate the asymptotic behavior of the solution to a one-dimensional stochastic heat equation with random nonlinear term generated by a stationary, ergodic random field. We extend the well-known central limit theorem…

Probability · Mathematics 2018-09-12 Lu Xu

The one-dimensional SDE with non Lipschitz diffusion coefficient $dX_{t} = b(X_{t})dt + \sigma X_{t}^{\gamma} dB_{t}, \ X_{0}=x, \ \gamma<1$ is widely studied in mathematical finance. Several works have proposed asymptotic analysis of…

Probability · Mathematics 2014-08-26 Giovanni Conforti , Stefano De Marco , Jean-Dominique Deuschel

We present a nonlinear stability theory for periodic wave trains in reaction-diffusion systems, which relies on pure $L^\infty$-estimates only. Our analysis shows that localization or periodicity requirements on perturbations, as present in…

Analysis of PDEs · Mathematics 2024-09-24 Björn de Rijk
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