Literature DB >> 25166972

Probability density function method for Langevin equations with colored noise.

Peng Wang1, Alexandre M Tartakovsky1, Daniel M Tartakovsky2.   

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.

Mesh:

Year:  2013        PMID: 25166972     DOI: 10.1103/PhysRevLett.110.140602

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  2 in total

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Authors:  Tyler E Maltba; Hongli Zhao; Daniel M Tartakovsky
Journal:  Cogn Neurodyn       Date:  2021-11-03       Impact factor: 3.473

2.  Ubiquity of anomalous transport in porous media: Numerical evidence, continuous time random walk modelling, and hydrodynamic interpretation.

Authors:  Xiao-Rong Yang; Yan Wang
Journal:  Sci Rep       Date:  2019-03-14       Impact factor: 4.379

  2 in total

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