Fractional stochastic differential equations satisfying fluctuation-dissipation theorem

dc.contributor.author

Li, L

dc.contributor.author

Liu, J-G

dc.contributor.author

Lu, Jianfeng

dc.date.accessioned

2017-04-23T15:43:06Z

dc.date.available

2017-04-23T15:43:06Z

dc.date.issued

2017-04-23

dc.description.abstract

We consider in this work stochastic differential equation (SDE) model for particles in contact with a heat bath when the memory effects are non-negligible. As a result of the fluctuation-dissipation theorem, the differential equations driven by fractional Brownian noise to model memory effects should be paired with Caputo derivatives and based on this we consider fractional stochastic differential equations (FSDEs), which should be understood in an integral form. We establish the existence of strong solutions for such equations. In the linear forcing regime, we compute the solutions explicitly and analyze the asymptotic behavior, through which we verify that satisfying fluctuation-dissipation indeed leads to the correct physical behavior. We further discuss possible extensions to nonlinear forcing regime, while leave the rigorous analysis for future works.

dc.identifier

http://arxiv.org/abs/1612.04274v1

dc.identifier.uri

https://hdl.handle.net/10161/14051

dc.relation.isreplacedby

10161/15666

dc.relation.isreplacedby

http://hdl.handle.net/10161/15666

dc.subject

math.PR

dc.subject

math.PR

dc.subject

math-ph

dc.subject

math.MP

dc.title

Fractional stochastic differential equations satisfying fluctuation-dissipation theorem

dc.type

Journal article

duke.contributor.orcid

Lu, Jianfeng|0000-0001-6255-5165

pubs.author-url

http://arxiv.org/abs/1612.04274v1

pubs.organisational-group

Chemistry

pubs.organisational-group

Duke

pubs.organisational-group

Mathematics

pubs.organisational-group

Physics

pubs.organisational-group

Trinity College of Arts & Sciences

Files