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The biased annihilating branching process

Published online by Cambridge University Press:  01 July 2016

Claudia Neuhauser*
Affiliation:
University of Southern California
Aidan Sudbury*
Affiliation:
Monash University
*
Postal address: Department of Mathematics, University of Southern California, Los Angeles, CA 90089-1113, USA. Partially supported by the National Science Foundation.
∗∗Postal address: Mathematics Department, Monash University, Clayton, VIC 3168, Australia.

Abstract

In the biased annihilating branching process, particles place offspring on empty neighboring sites at rate A and destroy neighbors at rate 1. It is conjectured that for any λ ≥ 0 the population will spread to ∞, and this is shown in one dimension for The process on a finite graph when starting with a non-empty configuration has limiting distribution vλ /(λ +1), the product measure with density λ/(1 +λ). It is shown that vλ /(λ +1) and δ Ø are the only stationary distributions on Moreover, if and the initial configuration is non-empty, then the limiting measure is vλ /(λ +1) provided the initial measure converges.

Type
Research Article
Copyright
Copyright © Applied Probability Trust 1993 

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References

Bramson, M. and Gray, L. (1985) The survival of the branching annihilating random walk. Z. Wahrscheinlichkeitsth. 68, 447460.CrossRefGoogle Scholar
Bramson, M., Ding, W. D. and Durrett, R. (1991) Annihilating branching processes. Stoch. Proc. Appl. 27, 118.Google Scholar
Ding, W. D., Durrett, R. and Liggett, T. (1990) Ergodicity of reversible reaction diffusion processes. Prob. Theory Rel. Fields 85, 1326.Google Scholar
Harris, T. E. (1974) Contact interactions on a lattice. Ann. Prob. 2, 969988.Google Scholar
Liggett, T. M. (1977) The stochastic evolution of infinite systems of interacting particle systems. Ecole d'Eté de Probabilité de Saint-Flour VI, 1976. Springer Lecture Notes in Mathematics 598, 187248.Google Scholar
Liggett, T. M. (1985) Interacting Particle Systems. Springer-Verlag, New York.CrossRefGoogle Scholar
Sudbury, A. W. (1989a) The branching annihilating process with non-nearest neighbour interactions. Monash University Research Report No. 194.Google Scholar
Sudbury, A. W. (1989b) Geometric bounds for a particle moving under different random walk regimes. Preprint.Google Scholar
Sudbury, A. W. (1990) The branching annihilating process: an interacting particle system. Ann. Prob. 18, 581601.Google Scholar
Yaguchi, H. (1990) Entropy analysis of a nearest neighbor attractive/repulsive exclusion process on one-dimensional lattices. Ann. Prob. 18, 556580.Google Scholar
Ziezold, H. and Grillenberger, C. (1988) On the critical infection rate of the one-dimensional basic contact process: numerical results. J. Appl. Prob. 25, 18.Google Scholar