Run time statistics in models of growth in disrrdered media
Journal of Statistical PhysicsPublished 1 November 1994
Matteo Marsili
Citations36
SJR quartileQ2
SJR score0.67
SNIP1.00
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TL;DR
Models for growth in disordered media, which are deterministic once the random environment is specified, can be transformed into stochastic growth processes with a time-dependent noise.
Abstract
Models for growth in disordered media, which are deterministic once the random environment is specified, can be transformed into stochastic growth processes with a time-dependent noise. The mapping generally induces a memory in the stochastic process. This transformation is proposed and discussed in detail. An approximation scheme is worked out analytically and possible applications are discussed.
Keywords
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