2013
DOI: 10.1103/physreve.87.042133
|View full text |Cite
|
Sign up to set email alerts
|

Velocity distribution for quasistable acceleration in the presence of multiplicative noise

Abstract: Processes that are far both from equilibrium and from phase transition are studied. It is shown that a process with mean velocity that exhibits power-law growth in time can be analyzed using the Langevin equation with multiplicative noise. The solution to the corresponding Fokker-Planck equation is derived. Results of the numerical solution of the Langevin equation and simulation of the motion of particles in a billiard system with a time-dependent boundary are presented.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
16
0

Year Published

2014
2014
2016
2016

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 13 publications
(17 citation statements)
references
References 25 publications
1
16
0
Order By: Relevance
“…and coincides with the distribution obtained in [73] for a = 0. Then, the expression of the mean of x(t) is …”
Section: Fokker-planck Equation For Island Size Distributionsupporting
confidence: 89%
“…and coincides with the distribution obtained in [73] for a = 0. Then, the expression of the mean of x(t) is …”
Section: Fokker-planck Equation For Island Size Distributionsupporting
confidence: 89%
“…If this is the case, then one can consider a continuous driving protocol instead of repeated quenches and all the results will be the same. Such a setup was analyzed by Jarzynski [213] followed by other works [193,[220][221][222][223][224]]. An interesting and nontrivial result that emerges from this analysis is a nonequilibrium exponential velocity distribution (to be contrasted with the Gaussian Maxwell distribution).…”
Section: Heating a Particle In A Fluctuating Chaotic Cavitymentioning
confidence: 99%
“…The assumption ε ≪ 1 is not particularly restrictive; even if particles begin with an initial speed comparable to or less than u c , energy gaining collisions are more likely than energy losing collisions due to the flux factor in the biased distribution, and a slow particle will gain roughly mu 2 c of energy during a collision according to Eq. (18). Therefore, a slow particle will more than likely gain speed u c ∼ O(1) during a single bounce, and after 1/δ bounces, where δ ≪ 1 is some small number, the particle will more than likely have a speed v such that u c /v δ ≪ 1.…”
Section: Energy Statisticsmentioning
confidence: 99%
“…The details of the separation of variables, including existence, uniqueness, and boundary conditions, are given in Ref. [18] and will be omitted here. We also acknowledge a similar, much older, one-dimensional solution given in Ref.…”
Section: Energy Diffusionmentioning
confidence: 99%