Abstract
In a recent paper [3], a class of reversible growth models on a fairly general set of sites was introduced and studied. These models are generalizations of the finite reversible nearest particle systems on the integers, which have been considered in several papers in recent years (see [1] and [2], for example). The focus of attention in these growth models is the probability of survival of the system. Typically there are natural one parameter families of models, and one wishes to determine the critical value for that parameter, which is the point at which survival with positive probability begins to occur. Once this is done, it is of interest to determine the manner in which the survival probability approaches its limit (which is usually zero) as the parameter approaches the critical value from above.
Research supported in part by NSF Grant MCS 83–00836. This work was carried out at the Institute for Mathematics and its Applications at the University of Minnesota. Its hospitality is gratefully acknowledged.
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References
Griffeath, D, and Liggett, T.M. (1982). Critical phenomena for Spitzer’s reversible nearest particle systems. The Annals of Probability 10, 881–895.
Liggett, T.M. (1986). Applications of the Dirichlet principle to finite reversible nearest particle systems. Probabi1ity Theory and Related Fields To appear.
Liggett, T.M. (1986). Reversible growth models on symmetric sets. Proceedings of the 1985 Taniguchi Symposium on Probabilistic Methods in Mathematical Physics.
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Liggett, T.M. (1987). Reversible Growth Models on Zd: Some Examples. In: Kesten, H. (eds) Percolation Theory and Ergodic Theory of Infinite Particle Systems. The IMA Volumes in Mathematics and Its Applications, vol 8. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-8734-3_13
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DOI: https://doi.org/10.1007/978-1-4613-8734-3_13
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