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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