A Mechanical Model of Brownian Motion for One Massive Particle Including Slow Light Particles

2017 ◽  
Vol 170 (2) ◽  
pp. 286-350
Author(s):  
Song Liang
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Song Liang

Abstract We provide a connection between Brownian motion and a classical Newton mechanical system in dimension d ≥ 3 {d\geq 3} . This paper is an extension of [S. Liang, A mechanical model of Brownian motion for one massive particle including slow light particles, J. Stat. Phys. 170 2018, 2, 286–350]. Precisely, we consider a system of one massive particle interacting with an ideal gas, evolved according to non-random Newton mechanical principles, via interaction potentials, without any assumption requiring that the initial energies of the environmental particles should be restricted to be “high enough”. We prove that, as in the high-dimensional case, the position/velocity process of the massive particle converges to a diffusion process when the mass of the environmental particles converges to 0, while the density and the velocities of them go to infinity.


1983 ◽  
Vol 62 (4) ◽  
pp. 427-448 ◽  
Author(s):  
D. D�rr ◽  
S. Goldstein ◽  
J. L. Lebowitz

1981 ◽  
Vol 78 (4) ◽  
pp. 507-530 ◽  
Author(s):  
D. Dürr ◽  
S. Goldstein ◽  
J. L. Lebowitz

2010 ◽  
Vol 22 (07) ◽  
pp. 733-838 ◽  
Author(s):  
SHIGEO KUSUOKA ◽  
SONG LIANG

We give a connection between diffusion processes and classical mechanical systems in this paper. Precisely, we consider a system of plural massive particles interacting with an ideal gas, evolved according to classical mechanical principles, via interaction potentials. We prove the almost sure existence and uniqueness of the solution of the considered dynamics, prove the convergence of the solution under a certain scaling limit, and give the precise expression of the limiting process, a diffusion process.


1989 ◽  
Vol 55 (3-4) ◽  
pp. 649-693 ◽  
Author(s):  
Paola Calderoni ◽  
Detlef D�rr ◽  
Shigeo Kusuoka

2007 ◽  
Vol 44 (02) ◽  
pp. 393-408 ◽  
Author(s):  
Allan Sly

Multifractional Brownian motion is a Gaussian process which has changing scaling properties generated by varying the local Hölder exponent. We show that multifractional Brownian motion is very sensitive to changes in the selected Hölder exponent and has extreme changes in magnitude. We suggest an alternative stochastic process, called integrated fractional white noise, which retains the important local properties but avoids the undesirable oscillations in magnitude. We also show how the Hölder exponent can be estimated locally from discrete data in this model.


1986 ◽  
Vol 23 (04) ◽  
pp. 893-903 ◽  
Author(s):  
Michael L. Wenocur

Brownian motion subject to a quadratic killing rate and its connection with the Weibull distribution is analyzed. The distribution obtained for the process killing time significantly generalizes the Weibull. The derivation involves the use of the Karhunen–Loève expansion for Brownian motion, special function theory, and the calculus of residues.


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