Diffusion approximation for slow motion in fully coupled averaging

Victor Bakhtin*, Yuri Kifer

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

41 Scopus citations

Abstract

In systems which combine fast and slow motions it is usually impossible to study directly corresponding two scale equations and the averaging principle suggests to approximate the slow motion by averaging in fast variables. We consider the averaging setup when both fast and slow motions are diffusion processes depending on each other (fully coupled) and show that there exists a diffusion process which approximates the slow motion in the L2 sense much better than the averaged motion prescribed by the averaging principle.

Original languageEnglish
Pages (from-to)157-181
Number of pages25
JournalProbability Theory and Related Fields
Volume129
Issue number2
DOIs
StatePublished - Jun 2004

Keywords

  • Averaging
  • Diffusion
  • Limit theorems
  • Stochastic differential equations

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