The generalized Langevin equation with power-law memory in a nonlinear potential well. (14th April 2020)
- Record Type:
- Journal Article
- Title:
- The generalized Langevin equation with power-law memory in a nonlinear potential well. (14th April 2020)
- Main Title:
- The generalized Langevin equation with power-law memory in a nonlinear potential well
- Authors:
- Glatt-Holtz, Nathan E
Herzog, David P
McKinley, Scott A
Nguyen, Hung D - Abstract:
- Abstract: 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 (i.e. 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 (i.e. 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 inAbstract: 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 (i.e. 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 (i.e. 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. … (more)
- Is Part Of:
- Nonlinearity. Volume 33:Number 6(2020)
- Journal:
- Nonlinearity
- Issue:
- Volume 33:Number 6(2020)
- Issue Display:
- Volume 33, Issue 6 (2020)
- Year:
- 2020
- Volume:
- 33
- Issue:
- 6
- Issue Sort Value:
- 2020-0033-0006-0000
- Page Start:
- 2820
- Page End:
- 2852
- Publication Date:
- 2020-04-14
- Subjects:
- anomalous diffusion -- asymptotic coupling -- invariant measure
60H10
Nonlinear theories -- Periodicals
Mathematical analysis -- Periodicals
Mathematical analysis
Nonlinear theories
Periodicals
515 - Journal URLs:
- http://www.iop.org/Journals/no ↗
http://iopscience.iop.org/0951-7715/ ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1361-6544/ab74af ↗
- Languages:
- English
- ISSNs:
- 0951-7715
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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