THE BOUCHAUD-ANDERSON MODEL WITH DOUBLE-EXPONENTIAL POTENTIAL

• 成果类型: Article
• 署名作者: Muirhead, S.; Pymar, R.; dos Santos, R. S.
• 署名单位: University of London; King's College London; University of London; Birkbeck University London; Leibniz Association; Weierstrass Institute for Applied Analysis & Stochastics
• 刊物名称: ANNALS OF APPLIED PROBABILITY
• ISSN/ISSBN: 1050-5164
• DOI: 10.1214/18-AAP1417
• 发表日期: 2019
• 页码: 264-325
• 关键词: branching random-walk; parabolic problems; intermittency; localization; weak

摘要

The Bouchaud-Anderson model (BAM) is a generalisation of the parabolic Anderson model (PAM) in which the driving simple random walk is replaced by a random walk in an inhomogeneous trapping landscape; the BAM reduces to the PAM in the case of constant traps. In this paper, we study the BAM with double-exponential potential. We prove the complete localisation of the model whenever the distribution of the traps is unbounded. This may be contrasted with the case of constant traps (i.e., the PAM), for which it is known that complete localisation fails. This shows that the presence of an inhomogeneous trapping landscape may cause a system of branching particles to exhibit qualitatively distinct concentration behaviour.