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Branching random walks on trees

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  • Madras, Neal
  • Schinazi, Rinaldo

Abstract

Let p(x, y) be the transition probability of an isotropic random walk on a tree, where each site has d [greater-or-equal, slanted]3 neighbors. We define a branching random walk by letting a particle at site x give birth to a new particle at site y at rate [lambda]dp(x, y), jump to y at rate vdp(x, y), and die at rate [delta]. Let [lambda]2 (respectively, [mu]2) be the infimum of [lambda] such that the process starting with one particle has positive probability of surviving forever (respectively, of having a fixed site occupied at arbitrarily large times). We compute [lambda]2 and [mu]2 exactly, proving that [lambda]2

Suggested Citation

  • Madras, Neal & Schinazi, Rinaldo, 1992. "Branching random walks on trees," Stochastic Processes and their Applications, Elsevier, vol. 42(2), pages 255-267, September.
  • Handle: RePEc:eee:spapps:v:42:y:1992:i:2:p:255-267
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    Cited by:

    1. Lalley, Steven P. & Sellke, Thomas M., 2002. "Anisotropic contact processes on homogeneous trees," Stochastic Processes and their Applications, Elsevier, vol. 101(2), pages 163-183, October.
    2. Durrett, Rick & Jung, Paul, 2007. "Two phase transitions for the contact process on small worlds," Stochastic Processes and their Applications, Elsevier, vol. 117(12), pages 1910-1927, December.

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