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A stochastic explosive reaction system with sampling

Published online by Cambridge University Press:  14 July 2016

Donald A. Dawson*
Affiliation:
Carleton University
Klaus Fleischmann*
Affiliation:
Academy of Sciences of the GDR
*
Postal address: Department of Mathematics and Statistics, Carleton University, Ottawa, Canada K1S 5B6.
∗∗Postal address: Karl Weierstrass Institute of Mathematics, Academy of Sciences of the GDR, Box 1304, Berlin, DDR-1086, GDR.

Abstract

Large stochastic systems of marked particles are considered. These ‘populations' grow according to pairwise mutually catalytic reactions and in addition particles may exchange their type (mark) by a sampling procedure. We are interested in the explosive behavior of the model and its high density properties (law of large numbers).

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1989 

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References

[1] Athreya, K. B. (1969) On a characteristic property of Pólya's urn. Stud. Sci. Math. Hung. 4, 3135.Google Scholar
[2] Billingsley, P. (1968) Convergence of Probability Measures. Wiley, New York.Google Scholar
[3] Dawson, D. A. and Hochberg, K. J. (1982) Wandering random measures in the Fleming–Viot model. Ann. Prob. 10, 554580.CrossRefGoogle Scholar
[4] Eigen, M. and Schuster, P. (1979) The Hypercycle. Springer-Verlag.CrossRefGoogle Scholar
[5] Fife, P. C. (1979) Mathematical Aspects of Reacting and Diffusing Systems. Lecture Notes in Biomathematics 28, Springer-Verlag, Berlin.Google Scholar
[6] Gihman, I. I. and Skorohod, A. V. (1980) The Theory of Stochastic Processes I. Springer-Verlag, Berlin.Google Scholar
[7] Johnson, N. L. and Kotz, S. (1977) Urn Models and Their Application. Wiley, New York.Google Scholar
[8] Kurtz, T. G. (1970) Solutions of ordinary differential equations as limit of pure jump Markov processes. J. Appl. Prob. 7, 4958.Google Scholar