Evidence map›Paper›PMID 31329064›Full record

ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2019

Fokker-Planck representations of non-Markov Langevin equations: application to delayed systems.

Luca Giuggioli, Zohar Neu

Abstract read
In one paragraph

Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Nonlinear dynamics of delay systems: an overview.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Luca GiuggioliDepartment of Engineering Mathematics, University of Bristol, Woodland Road, Bristol BS8 1UB, UK.
Zohar NeuDepartment of Engineering Mathematics, University of Bristol, Woodland Road, Bristol BS8 1UB, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Noise and time delays, or history-dependent processes, play an integral part in many natural and man-made systems. The resulting interplay between random fluctuations and time non-locality are essential features of the emerging complex dynamics in non-Markov systems. While stochastic differential equations in the form of Langevin equations with additive noise for such systems exist, the corresponding probabilistic formalism is yet to be developed. Here we introduce such a framework via an infinite hierarchy of coupled Fokker-Planck equations for the n-time probability distribution. When the non-Markov Langevin equation is linear, we show how the hierarchy can be truncated at n = 2 by converting the time non-local Langevin equation to a time-local one with additive coloured noise. We compare the resulting Fokker-Planck equations to an earlier version, solve them analytically and analyse the temporal features of the probability distributions that would allow to distinguish between Markov and non-Markov features. This article is part of the theme issue 'Nonlinear dynamics of delay systems'.

Indexed as

delayed Langevin equationFokker–Planckequationgeneralized Langevin equationnon-Markov processesstochastic systems

Identifiers

PMID31329064
PMCPMC6661320

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.