Particle system algorithm and chaos propagation related to non-conservative McKean type stochastic differential equations

Autor: Anthony Le Cavil, Nadia Oudjane, Francesco Russo
Přispěvatelé: Unité de Mathématiques Appliquées (UMA), École Nationale Supérieure de Techniques Avancées (ENSTA Paris), EDF R&D (EDF R&D), EDF (EDF), Laboratoire de Finance des Marchés d'Energie (FiME Lab), Université Paris Dauphine-PSL, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-CREST-EDF R&D (EDF R&D), EDF (EDF)-EDF (EDF), Optimisation et commande (OC), École Nationale Supérieure de Techniques Avancées (ENSTA Paris)-École Nationale Supérieure de Techniques Avancées (ENSTA Paris), The third named author has benefited partially from thesupport of the ``FMJH Program Gaspard Monge in optimization and operationresearch' (Project 2014-1607H).
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Popis: We discuss numerical aspects related to a new class of nonlinear Stochastic Differential Equations in the sense of McKean, which are supposed to represent non conservative nonlinear Partial Differential equations (PDEs). We propose an original interacting particle system for which we discuss the propagation of chaos. We consider a time-discretized approximation of this particle system to which we associate a random function which is proved to converge to a solution of a regularized version of a nonlinear PDE.
arXiv admin note: substantial text overlap with arXiv:1504.03882
Databáze: OpenAIRE