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Burgers equation is one of the simplest nonlinear partial differential equations-it combines the basic processes of diffusion and nonlinear steepening. In some applications it is appropriate for the diffusion coefficient to be a…

Mathematical Physics · Physics 2007-05-23 Zhenquan Li , A. J. Roberts

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

The problem of finding a martingale on a manifold with a fixed random terminal value can be solved by considering BSDEs with a generator with quadratic growth. We study here a generalization of these equations and we give uniqueness and…

Probability · Mathematics 2007-05-23 Fabrice Blache

Dynamic response of the one-dimensional viscoelastic rod of finite length, that has one end fixed and the other subject to prescribed either displacement or stress, is analyzed by the analytical means of Laplace transform, yielding the…

Classical Physics · Physics 2021-12-21 Slađan Jelić , Dušan Zorica

In this article we find the solution of the Burger equation with viscosity applying the boundary layer theory. In addition, we will observe that the solution of Burger equation with viscosity converge to the solution of Burger stationary…

Analysis of PDEs · Mathematics 2020-09-15 Oscar Martinez , Ana Marin , Ruben Ortiz

In this paper, we study the strong and weak convergence rates for multi-scale one-dimensional stochastic Burgers equation. Based on the techniques of Galerkin approximation, Kolmogorov equation and Poisson equation, we obtain the slow…

Probability · Mathematics 2022-04-08 Peng Gao , Xiaobin Sun

In this paper we present a unified approach to establish gradient type formulas and Bismut type formulas for backward stochastic differential equations (BSDEs). This approach relies on a mix of derivative formulas with respect to the…

Probability · Mathematics 2021-03-12 Xiliang Fan , Michael Röckner , Shao-Qin Zhang

We prove the existence of globally attracting solutions of the viscous Burgers equation with periodic boundary conditions on the line for some particular choices of viscosity and non-autonomous forcing. The attract- ing solution is periodic…

Dynamical Systems · Mathematics 2015-08-19 Jacek Cyranka , Piotr Zgliczyński

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 consider the Langevin equation describing a stochastically perturbed by uniform noise non-viscous Burgers fluid and introduce a deterministic function that corresponds to the mean of the velocity when we keep the value of position fixed.…

Analysis of PDEs · Mathematics 2009-12-16 Sergio Albeverio , Olga Rozanova

We propose a time-space discretization scheme for quasi-linear parabolic PDEs. The algorithm relies on the theory of fully coupled forward--backward SDEs, which provides an efficient probabilistic representation of this type of equation.…

Probability · Mathematics 2016-08-16 François Delarue , Stéphane Menozzi

In this paper we study the analytic solutions of Burgers-type nonlinear fractional equations by means of the Invariant Subspace Method. We first study a class of nonlinear equations directly related to the time-fractional Burgers equation.…

Exactly Solvable and Integrable Systems · Physics 2013-06-11 P. Artale Harris , R. Garra

We study the existence and uniqueness of the stochastic viscosity solutions of fully nonlinear, possibly degenerate, second order stochastic pde with quadratic Hamiltonians associated to a Riemannian geometry. The results are new and extend…

Probability · Mathematics 2016-02-16 Peter K. Friz , Paul Gassiat , Pierre-Louis Lions , Panagiotis E. Souganidis

The randomly driven Burgers equation with pressure is considered as a 1D model of strong turbulence of compressible fluid. It is shown that infinitely small pressure provides a finite effect on the velocity and density statistics and this…

High Energy Physics - Theory · Physics 2009-10-30 S. Boldyrev

This paper is intended to give a probabilistic representation for stochastic viscosity solution of semi-linear reflected stochastic partial differential equations with nonlinear Neumann boundary condition. We use it connection with…

Probability · Mathematics 2009-07-13 Auguste Aman , Naoual Mrhardy

We will present exact solutions for three variations of stochastic Korteweg de Vries-Burgers (KdV-Burgers) equation featuring variable coefficients. In each variant, white noise exhibits spatial uniformity, and the three categories include…

Mathematical Physics · Physics 2024-04-01 Kolade Adjibi , Allan Martinez , Miguel Mascorro , Carlos Montes , Tamer Oraby , Rita Sandoval , Erwin Suazo

We study the discretization, convergence, and numerical implementation of recent reformulations of the quadratic porous medium equation (multidimensional and anisotropic) and Burgers' equation (one-dimensional, with optional viscosity), as…

Numerical Analysis · Mathematics 2025-11-06 Jean-Marie Mirebeau , Erwan Stampfli

Global stabilization of viscous Burgers' equation around constant steady state solution has been discussed in the literature. The main objective of this paper is to show global stabilization results for the 2D forced viscous Burgers'…

Optimization and Control · Mathematics 2019-07-15 Sudeep Kundu , Amiya Kumar Pani

Thermodynamically consistent fractional Burgers constitutive models for viscoelastic media, divided into two classes according to model behavior in stress relaxation and creep tests near the initial time instant, are coupled with the…

Classical Physics · Physics 2019-12-03 Ljubica Oparnica , Dušan Zorica , Aleksandar Okuka

Applications in quantitative finance such as optimal trade execution, risk management of options, and optimal asset allocation involve the solution of high dimensional and nonlinear Partial Differential Equations (PDEs). The connection…

Machine Learning · Statistics 2019-10-28 Batuhan Güler , Alexis Laignelet , Panos Parpas
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