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arxiv: 0804.4814 · v1 · pith:AJEWSF76new · submitted 2008-04-30 · 🧮 math.PR · math.SP

The spectrum of the random environment and localization of noise

classification 🧮 math.PR math.SP
keywords noiserandomenvironmentregularspectrumanalyticbecomescentering
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We consider random walk on a mildly random environment on finite transitive d- regular graphs of increasing girth. After scaling and centering, the analytic spectrum of the transition matrix converges in distribution to a Gaussian noise. An interesting phenomenon occurs at d = 2: as the limit graph changes from a regular tree to the integers, the noise becomes localized.

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