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Convergence Rate for the Approximation of the Limit Law of Weakly Interacting Particles 2: Application to the Burgers Equation

Mireille Bossy 1 Denis Talay 1
1 OMEGA - Probabilistic numerical methods
CRISAM - Inria Sophia Antipolis - Méditerranée , UHP - Université Henri Poincaré - Nancy 1, Université Nancy 2, CNRS - Centre National de la Recherche Scientifique : UMR7502
Abstract : In this paper, we construct a stochastic particles method for the Burgers equation with a monotonic initial condition; we prove that the convergence rate is $\displaystyleO\left(\frac1\sqrtN +\sqrt\D\right)$ for the $L^1(I\!\!R \times \Omega)$-norm of the error. To obtain that result, we link the PDE and the algorithm to a system of weakly interacting stochastic particles; the difficulty of the analysis comes from the discontinuity of the interaction kernel, equal to the Heaviside function. In~\citebossy_talay-93, we show how the algorithm and the result extend to the case of non monotonic initial conditions for the Burgers equation; we also treat the case of nonlinear PDE's related to particles systems with Lipschitz interaction kernels. Our next objective is to adapt our methodology to the (more difficult) case of the 2-D inviscid Navier-Stokes equation.
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https://hal.inria.fr/inria-00074265
Contributor : Rapport de Recherche Inria <>
Submitted on : Wednesday, May 24, 2006 - 2:53:53 PM
Last modification on : Wednesday, September 11, 2019 - 11:12:08 AM
Document(s) archivé(s) le : Tuesday, April 12, 2011 - 4:20:11 PM

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  • HAL Id : inria-00074265, version 1

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Mireille Bossy, Denis Talay. Convergence Rate for the Approximation of the Limit Law of Weakly Interacting Particles 2: Application to the Burgers Equation. [Research Report] RR-2410, INRIA. 1994, pp.49. ⟨inria-00074265⟩

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