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On a general kinetic equation for many-particle systems with interaction, fragmentation and coagulation

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Belavkin, V. P. and Kolokoltsov, V. N. (Vasiliĭ Nikitich). (2003) On a general kinetic equation for many-particle systems with interaction, fragmentation and coagulation. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol.459 (No.2031). pp. 727-748. ISSN 1364-5021

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Official URL: http://dx.doi.org/10.1098/rspa.2002.1026

Abstract

We deduce the most general kinetic equation that describe the low density limit of general Feller processes for the systems of random number of particles with interaction, collisions, fragmentation and coagulation. This is done by studying the limiting as ε -> 0 evolution of Feller processes on ∪n∞ Xn with X = Rd or X = Zd described by the generators of the form ε-1 ∑K k=0 εkB(k), K ∈ N, where B(k) are the generators of k-arnary interaction, whose general structure is also described in the paper.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Science > Statistics
Library of Congress Subject Headings (LCSH): Particles -- Dynamics, Particles -- Mathematical models
Journal or Publication Title: Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
Publisher: The Royal Society
ISSN: 1364-5021
Date: 2003
Volume: Vol.459
Number: No.2031
Page Range: pp. 727-748
Identification Number: 10.1098/rspa.2002.1026
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
References: [1] D.J. Aldous. Deterministic and stochastic models for coalescence (aggregation and coagulation): a review of the mean-field theory for probabilists. Bernoulli 5:1 (1999), 3-48. [2] V.P. Belavkin. Quantum branching processes and nonlinear dynamics of multi-quantum systems Dokl. Acad. Nauk SSSR 301:6 (1988), 1348- 1352. [3] V.P. Belavkin. In: Mathematical models of statistical physics (in Rus- sian). Tyumen, 1982 , 3-12. [4] V.P. Belavkin. A Quantum Nonadapted Ito Formula and Stochastic Analysis in Fock Scale. J. Funct. Anal. 102:2 (1991), 414-447. [5] V.P. Belavkin, V.N. Kolokoltsov. Stochastic Evolutions As Boundary Value Problems. In: Infinite Dimensional Analysis and Quantum Probability, RIMS Kokyuroku 1227, 83-95. [6] V.P. Belavkin, V.P. Maslov. Uniformization method in the theory of nonlinear hamiltonian systems of Vlasov and Hartree type. Teoret. i Matem. Fizika 33:1 (1977), 17-31. English transl. in Theor. Math. Phys. 43:3, 852-862. [7] V.P. Belavkin, V.P. Maslov, C.E. Tariverdiev. Asymptotic dynamics of the system of large number of particles described by the Kolmogorov- Feller equation. Teoret. i Matem. Fizika 49:3 (1981). [8] Ph. Courrµege. Sur la form integro-differentielle des operateurs de C1 k dans C satisfaisant au principe du maximum. Seminaire Brelot- Choquet-Deny (Therie du potentiel) 10e annee (1965/66), nu. 2. [9] N. Jacob. Pseudo-Differential Operators and Markov Processes. Mathematical Research 94, Academie Verlag 1996. [10] M. Kac. Probability and Related Topics in Physical Science. Inter-science, New York, 1959. [11] V.N. Kolokoltsov. Semiclassical Analysis for Diffusions and Stochastic Processes Springer Lecture Notes Math. 1724, 2000. [12] M.A. Leontovich. Main equations of the kinetic theory from the point of view of random processes. Journal of Experimantal and Theoretical Physics (in Russian) 5 (1935), 211-231. [13] J.R. Norris. Cluster Coagulation. Comm. Math. Phys. 209 (2000), 407-435. [14] H. Spohn. Large Scale Dynamics of Interacting Particles. Springer- Verlag 1991 [15] A. Sznitman. Topics in Propagation of Chaos. In: Ecole d'Ete de Probabilites de Saint-Flour XIX-1989. Springer Lecture Notes Math. 1464 (1991), 167-255.
URI: http://wrap.warwick.ac.uk/id/eprint/39368

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