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Probability density function method for langevin equations with colored noise

  • Peng Wang*
  • , Alexandre M. Tartakovsky
  • , Daniel M. Tartakovsky
  • *Corresponding author for this work
  • Pacific Northwest National Laboratory
  • University of California at San Diego

Research output: Contribution to journalArticlepeer-review

Abstract

Understanding the mesoscopic behavior of dynamical systems described by Langevin equations with colored noise is a fundamental challenge in a variety of fields. We propose a new approach to derive closed-form equations for joint and marginal probability density functions of state variables. This approach is based on a so-called large-eddy-diffusivity closure and can be used to model a wide class of non-Markovian processes described by the noise with an arbitrary correlation function. We demonstrate the accuracy of the proposed probability density function method for several linear and nonlinear Langevin equations.

Original languageEnglish
Article number140602
JournalPhysical Review Letters
Volume110
Issue number14
DOIs
StatePublished - 2 Apr 2013
Externally publishedYes

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