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Rate of Convergence of a Stochastic Particle System for the Smoluchowski Coagulation Equation
Authors:Madalina Deaconu  Nicolas Fournier  Etienne Tanré
Affiliation:(1) IECN—INRIA Lorraine, Campus Scientifique, BP 239, 54506 Vandoeuvre lès Nancy Cedex, France;(2) IECN, Campus Scientifique, BP 239, 54506 Vandoeuvre lès Nancy Cedex, France;(3) INRIA Sophia-Antipolis, 2004 route des Lucioles, BP 93, 06902 Sophia Antipolis, France
Abstract:By continuing the probabilistic approach of Deaconu et al. (2001), we derive a stochastic particle approximation for the Smoluchowski coagulation equations. A convergence result for this model is obtained. Under quite stringent hypothesis we obtain a central limit theorem associated with our convergence. In spite of these restrictive technical assumptions, the rate of convergence result is interesting because it is the first obtained in this direction and seems to hold numerically under weaker hypothesis. This result answers a question closely connected to the Open Problem 16 formulated by Aldous (1999).
Keywords:Smoluchowski coagulation equation  interacting stochastic particle systems  Monte Carlo methods  central limit theorem
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