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We investigate the statistical properties of one-dimensional Burgers dynamics evolving from stochastic initial conditions defined by a Poisson point process for the velocity potential, with a power-law intensity. Thanks to the geometrical…

Statistical Mechanics · Physics 2025-11-06 Patrick Valageas

The one dimensional Burgers equation in the inviscid limit with white noise initial condition is revisited. The one- and two-point distributions of the Burgers field as well as the related distributions of shocks are obtained in closed…

Statistical Mechanics · Physics 2017-05-17 L. Frachebourg , Ph. A. Martin

We revisit the one-dimensional Burgers equation in the inviscid limit for white-noise initial velocity. We derive the probability distributions of velocity and Lagrangian increments, measured on intervals of any length $x$. This also gives…

Statistical Mechanics · Physics 2009-12-03 P. Valageas

We study the one-dimensional Burgers equation in the inviscid limit for Brownian initial velocity (i.e. the initial velocity is a two-sided Brownian motion that starts from the origin x=0). We obtain the one-point distribution of the…

Statistical Mechanics · Physics 2009-12-03 P. Valageas

A statistical theory is developed for the stochastic Burgers equation in the inviscid limit. Master equations for the probability density functions of velocity, velocity difference and velocity gradient are derived. No closure assumptions…

chao-dyn · Physics 2007-05-23 Weinan E , Eric Vanden Eijnden

The present work is devoted to the evolution of random solutions of the unforced Burgers and KPZ equations in d-dimensions in the limit of vanishing viscosity. We consider a cellular model and as initial condition assign a value for the…

chao-dyn · Physics 2009-10-31 S. N. Gurbatov

The decay of Burgers turbulence with compactly supported Gaussian "white noise" initial conditions is studied in the limit of vanishing viscosity and large time. Probability distribution functions and moments for both velocities and…

chao-dyn · Physics 2014-03-12 Roger Tribe , Oleg Zaboronski

For one-dimensional stochastic Burgers equation driven by Brownian motion and Poisson process, we study the $\psi$-uniformly exponential ergodicity with $\psi(x)=1+\|x\|$, the moderate deviation principle and the large deviation principle…

Probability · Mathematics 2020-02-04 Shulan Hu , Ran Wang

The adhesive dynamics of a one-dimensional aggregating gas of point particles is rigorously described. The infinite hierarchy of kinetic equations for the distributions of clusters of nearest neighbours is shown to be equivalent to a system…

Statistical Mechanics · Physics 2009-10-31 L. Frachebourg , Ph. A. Martin , ; J. Piasecki

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

Complex systems may be subject to various uncertainties. A great effort has been concentrated on predicting the dynamics under uncertainty in initial conditions. In the present work, we consider the well-known Burgers equation with random…

Classical Analysis and ODEs · Mathematics 2007-05-23 Dirk Blömker , Jinqiao Duan

We study the statistical properties of solutions to Burgers' equation, $v_t + vv_x = \nu v_{xx}$, for large times, when the initial velocity and its potential are stationary Gaussian processes. The initial power spectral density at small…

patt-sol · Physics 2008-02-03 Erik Aurell , Sergey N. Gurbatov , Sergey I. Simdyankin

We construct space-time stationary solutions of the 1D Burgers equation with random forcing in the absence of periodicity or any other compactness assumptions. More precisely, for the forcing given by a homogeneous Poissonian point field in…

Probability · Mathematics 2014-11-17 Yuri Bakhtin , Eric Cator , Konstantin Khanin

In this paper we prove the convergence to the stochastic Burgers equation from one-dimensional interacting particle systems, whose dynamics allow the degeneracy of the jump rates. To this aim, we provide a new proof of the second order…

Probability · Mathematics 2017-08-30 Oriane Blondel , Patricia Gonçalves , Marielle Simon

We consider one-dimensional exclusion processes with long jumps given by a transition probability of the form $p_n(\cdot)=s(\cdot)+\gamma_na(\cdot)$, such that its symmetric part $s(\cdot)$ is irreducible with finite variance and its…

Probability · Mathematics 2016-06-22 Patricia Gonçalves , Milton Jara

It is well known that the solutions to the non-viscous Burgers equation develop a gradient catastrophe at a critical time provided the initial data have a negative derivative in certain points. We consider this equation assuming that the…

Analysis of PDEs · Mathematics 2009-06-04 Sergio Albeverio , Olga Rozanova

We present a study of the Burgers equation in one and two dimensions $d=1,2$ following the analytic approach indicated in the previous paper I. For the problem of the initial conditions decay we consider two classes of initial condition…

Condensed Matter · Physics 2009-10-22 Sergei E. Esipov

A putative powerlaw range of the probability density of velocity gradient in high-Reynolds-number forced Burgers turbulence is studied. In the absence of information about shock locations, elementary conservation and stationarity relations…

chao-dyn · Physics 2009-10-31 Robert H. Kraichnan

In this work we consider the problem of constructing initial conditions for a flow model such that the resulting flow evolution leads to a self-similar energy cascade consistent with Kolmogorov's statistical theory of turbulence. As a first…

Fluid Dynamics · Physics 2026-03-24 Pritpal Matharu , Bartosz Protas , Tsuyoshi Yoneda

A rigorous study is carried out for the randomly forced Burgers equation in the inviscid limit. No closure approximations are made. Instead the probability density functions of velocity and velocity gradient are related to the statistics of…

chao-dyn · Physics 2009-10-31 Weinan E , Eric Vanden Eijnden
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