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Stochastic Processes and their Applications
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Stochastic Processes and their Applications
Article . 2009
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Localization for branching random walks in random environment

Authors: Hu, Yueyun; Yoshida, Nobuo;

Localization for branching random walks in random environment

Abstract

We consider branching random walks in $d$-dimensional integer lattice with time-space i.i.d. offspring distributions. This model is known to exhibit a phase transition: If $d \ge 3$ and the environment is "not too random", then, the total population grows as fast as its expectation with strictly positive probability. If,on the other hand, $d \le 2$, or the environment is ``random enough", then the total population grows strictly slower than its expectation almost surely. We show the equivalence between the slow population growth and a natural localization property in terms of "replica overlap". We also prove a certain stronger localization property, whenever the total population grows strictly slower than its expectation almost surely.

17 pages

Keywords

Statistics and Probability, random environment, FOS: Physical sciences, 60K37 (Primary), localization, Modelling and Simulation, Branching processes (Galton-Watson, birth-and-death, etc.), FOS: Mathematics, Processes in random environments, Mathematical Physics, Phase transition, Random environment, Applied Mathematics, Probability (math.PR), Interacting random processes; statistical mechanics type models; percolation theory, 60K37 (Primary); 60F05, 60J80, 60K35, 82D30 (Secondary), Mathematical Physics (math-ph), phase transition, Localization, branching random walk, Branching random walk, 60F05, 60J80, 60K35, 82D30 (Secondary), Mathematics - Probability, Statistical mechanics of random media, disordered materials (including liquid crystals and spin glasses)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Top 10%
Green
hybrid