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Mathematics of Computation

Published by the American Mathematical Society since 1960 (published as Mathematical Tables and other Aids to Computation 1943-1959), Mathematics of Computation is devoted to research articles of the highest quality in computational mathematics.

ISSN 1088-6842 (online) ISSN 0025-5718 (print)

The 2020 MCQ for Mathematics of Computation is 1.78.

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A stochastic particle numerical method for 3D Boltzmann equations without cutoff
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by Nicolas Fournier and Sylvie Méléard PDF
Math. Comp. 71 (2002), 583-604 Request permission

Abstract:

Using the main ideas of Tanaka, the measure-solution $\{P_t\}_t$ of a $3$-dimensional spatially homogeneous Boltzmann equation of Maxwellian molecules without cutoff is related to a Poisson-driven stochastic differential equation. Using this tool, the convergence to $\{P_t\}_t$ of solutions $\{P^l_t\}_t$ of approximating Boltzmann equations with cutoff is proved. Then, a result of Graham-Méléard is used and allows us to approximate $\{P^l_t\}_t$ with the empirical measure $\{\mu ^{l,n}_t\}_t$ of an easily simulable interacting particle system. Precise rates of convergence are given. A numerical study lies at the end of the paper.
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Additional Information
  • Nicolas Fournier
  • Affiliation: Institut Elie Cartan, Faculté de Sciences, B.P. 239, 54506 Vandoeune-les-Nancy Cedex, France
  • Email: Nicolas.Fournier@antares.iecn.u-nancy.fr
  • Sylvie Méléard
  • Affiliation: Laboratoire de Probabilités, Paris 6, 4 place Jussieu, 75252 Paris cedex 05, France; and MODALX, UFR SEGMI, Université Paris 10, 92000 Nanterre, France
  • Email: sylm@ccr.jussieu.fr
  • Received by editor(s): March 14, 2000
  • Published electronically: October 25, 2001
  • © Copyright 2001 American Mathematical Society
  • Journal: Math. Comp. 71 (2002), 583-604
  • MSC (2000): Primary 60J75, 60H10, 60K35, 82C40
  • DOI: https://doi.org/10.1090/S0025-5718-01-01339-4
  • MathSciNet review: 1885616