Electronic Journal of Probability
- Electron. J. Probab.
- Volume 22 (2017), paper no. 6, 20 pp.
One-point localization for branching random walk in Pareto environment
We consider a branching random walk on the lattice, where the branching rates are given by an i.i.d. Pareto random potential. We show a very strong form of intermittency, where with high probability most of the mass of the system is concentrated in a single site with high potential. The analogous one-point localization is already known for the parabolic Anderson model, which describes the expected number of particles in the same system. In our case, we rely on very fine estimates for the behaviour of particles near a good point. This complements our earlier results that in the rescaled picture most of the mass is concentrated on a small island.
Electron. J. Probab., Volume 22 (2017), paper no. 6, 20 pp.
Received: 29 April 2016
Accepted: 22 December 2016
First available in Project Euclid: 17 January 2017
Permanent link to this document
Digital Object Identifier
Mathematical Reviews number (MathSciNet)
Zentralblatt MATH identifier
Primary: 60K37: Processes in random environments
Secondary: 60J80: Branching processes (Galton-Watson, birth-and-death, etc.)
Ortgiese, Marcel; Roberts, Matthew I. One-point localization for branching random walk in Pareto environment. Electron. J. Probab. 22 (2017), paper no. 6, 20 pp. doi:10.1214/16-EJP22. https://projecteuclid.org/euclid.ejp/1484622023