Hostname: page-component-848d4c4894-nr4z6 Total loading time: 0 Render date: 2024-05-23T17:01:44.439Z Has data issue: false hasContentIssue false

Convergence of Isotropic Scattering Transport Process to Brownian Motion

Published online by Cambridge University Press:  22 January 2016

Rights & Permissions [Opens in a new window]

Extract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Let us consider transporting particle in the n-dimensional Euclidian space Rn. It is assumed that a particle originating at a point x∈Rn moves in a straight line with constant speed c and continues to move until it suffers a collision. The probability that the particle has a collision between t and t + Δ is + o(Δ), where k is constant. When a particle has a collision, say at y in Rn, it moves afresh from y with an isotropic choice of direction independent of past history.

Type
Research Article
Copyright
Copyright © Editorial Board of Nagoya Mathematical Journal 1970

References

[1] Dynkin, E.B. Markov processes, Springer, 1965.Google Scholar
[2] Ikeda, N. and Nomoto, H.; Branching transport processes, Seminar on Prob., 25(1966), 63104 (Japanese).Google Scholar
[3] Monin, A.S.; A statistical interpretation of the scattering of macroscopic particles, Th. Prob. Appl., 3(1956), 298311 (English translation).Google Scholar
[4] Pinsky, M.A. Differential equations with a small parameter and the central limit theorem for functions defined on a finite Markov chain, Z. Wahr. Geb., 9(1968), 101111.CrossRefGoogle Scholar
[5] Trotter, H.F. Approximation of semigroup of operators, Pacific J. Math., 8(1958), 887919.Google Scholar
[6] Watanabe, To. Weak convergence of the isotropic scattering transport process with one speed in the plane to Brownian motion. Proc. Japan Acad., 44(1968), 677680.Google Scholar