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Asymptotic behavior of velocity process in the Smoluchowski–Kramers approximation for stochastic differential equations

Published online by Cambridge University Press:  01 July 2016

Kiyomasa Narita*
Affiliation:
Kanagawa University
*
Postal address: Department of Mathematics, Faculty of Technology, Kanagawa University, Rokkakubashi Kanagawa-ku, Yokohama 221, Japan.

Abstract

Here a response of a non-linear oscillator of the Liénard type with a large parameter α ≥ 0 is formulated as a solution of a two-dimensional stochastic differential equation with mean-field of the McKean type. This solution is governed by a special form of the Fokker–Planck equation such as the Smoluchowski–Kramers equation, which is an equation of motion for distribution functions in position and velocity space describing the Brownian motion of particles in an external field. By a change of time and displacement we find that the velocity process converges to a one-dimensional Ornstein–Uhlenbeck process as α →∞.

Type
Research Article
Copyright
Copyright © Applied Probability Trust 1991 

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References

Chandrasekhar, S. (1954) Stochastic problems in physics and astronomy. In Selected Papers on Noise and Stochastic Processes , ed. Wax, N.. Dover, New York.Google Scholar
Gardiner, C. W. (1983) Handbook of Stochastic Methods. Springer Series on Synergetics 13, Springer-Verlag, Berlin.CrossRefGoogle Scholar
Van Kampen, N. G. (1981) Stochastic Processes in Physics and Chemistry. North-Holland, Amsterdam.Google Scholar
Kramers, H. A. (1940) Brownian motion in a field of force and the diffusion model of chemical reactions. Physica 7, 284304.Google Scholar
Leonard, C. (1986) Une loi des grands nombres pour des systèmes de diffusions avec interaction et à coefficients non bornés. Ann. Inst. H. Poincaré, Prob. Statist. 22, 237262.Google Scholar
Narita, K. (1989) Stochastic Liénard equation with mean-field interaction. SIAM J. Appl. Math. 49, 888905.CrossRefGoogle Scholar
Narita, K. (1991) The Smoluchowski–Kramers approximation for stochastic Liénard equation with mean-field. Adv. Appl. Prob. 23, 303316 (this issue).CrossRefGoogle Scholar
Risken, H. (1984) The Fokker–Planck Equation. Springer Series on Synergetics 18, Springer-Verlag, Berlin.Google Scholar
Schuss, Z. (1980) Theory and Applications of Stochastic Differential Equations. Wiley, New York.Google Scholar
Smoluchowski, M. (1916) Drei Vortrage über Diffusion, Brownsche Bewegung und Koagulation von Kolloidteilchen. Phys. Z. 17, 557585.Google Scholar