We investigate subdiffusion in the quenched trap model by mapping the problem onto a new stochastic process: Brownian motion stopped at the operational time S(α) = ∑(x=-∞)(∞) (n(x))(α) where n(x) is the visitation number at site x and α is a measure of the disorder. In the limit of zero temperature we recover the renormalization group solution found by Monthus. Our approach is an alternative to the renormalization group and is capable of dealing with any disorder strength.
Time transformation for random walks in the quenched trap model.
Published 2010 in Physical Review Letters
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- Publication year
2010
- Venue
Physical Review Letters
- Publication date
2010-12-28
- Fields of study
Medicine, Physics
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Semantic Scholar, PubMed
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