The generalized Langevin equation with power-law memory in a nonlinear potential well
The generalized Langevin equation with power-law memory in a nonlinear potential well
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非线性势阱中具有幂律记忆的广义朗之万方程
DOI:
10.1088/1361-6544/ab74af
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发表时间:
2020
期刊:
影响因子:
1.7
通讯作者:
Nguyen, Hung D
中科院分区:
文献类型:
--
作者:
Glatt-Holtz, Nathan E;Herzog, David P;McKinley, Scott A;Nguyen, Hung D
The generalized Langevin equation (GLE) is a stochastic integro-differential equation that has been used to describe the velocity of microparticles in viscoelastic fluids. In this work, we consider the large-time asymptotic properties of a Markovian approximation to the GLE in the presence of a wide class of external potential wells. The qualitative behavior of the GLE is largely determined by its memory kernel K, which summarizes the delayed response of the fluid medium on the particles past movement. When K can be expressed as a finite sum of exponentials, it has been shown that long-term time-averaged properties of the position and velocity do not depend on K at all. In certain applications, however, it is important to consider the GLE with a power law memory kernel. Using the fact that infinite sums of exponentials can have power law tails, we study the infinite-dimensional version of the Markovian GLE in a potential well. In the case where the memory kernel K is integrable (ie in the asymptotically diffusive regime), we are able to extend previous results and show that there is a unique stationary distribution for the GLE system and that the long-term statistics of the position and velocity do not depend on K. However, when K is not integrable (ie in the asymptotically subdiffusive regime), we are able to show the existence of an invariant probability measure but uniqueness remains an open question. In particular, the method of asymptotic coupling used in the integrable case to show uniqueness does not apply when K fails to be integrable.
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影响因子:
2
作者:
G. Didier;Hung D. Nguyen
通讯作者:
Hung D. Nguyen
DOI:
10.1007/s00020-015-2254-1
发表时间:
2015-06
期刊:
--
影响因子:
--
作者:
M. Grothaus;Patrik Stilgenbauer
通讯作者:
M. Grothaus;Patrik Stilgenbauer
影响因子:
3.4
作者:
Weber, Stephanie C.;Thompson, Michael A.;Theriot, Julie A.
通讯作者:
Theriot, Julie A.
影响因子:
2.4
作者:
Kharchenko, Vasyl O.;Goychuk, Igor
通讯作者:
Goychuk, Igor
影响因子:
3.7
作者:
Martin Lysy;N. Pillai;David B. Hill;M. Forest;John Mellnik;Paula A. Vasquez;Scott A. McKinley
通讯作者:
Scott A. McKinley