Aging and sub-aging for one-dimensional random walks amongst random conductances

We consider random walks amongst random conductances in the cases where the conductances can be arbitrarily small, with a heavy-tailed distribution at 0, and where the conductances may or may not have a heavy-tailed distribution at infinity. We study the long time behaviour of these processes and prove aging statements. When the heavy tail is only at 0, we prove that aging can be observed for the maximum of the process, i.e. the same maximal value is attained repeatedly over long time-scales. When there are also heavy tails at infinity, we prove a classical aging result for the position of the walker, as well as a sub-aging result that occurs on a shorter time-scale.

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Publication Details

Journal
Stochastic Processes and their Applications
Published
2025-01-09
DOI
https://doi.org/10.1016/j.spa.2025.104562
Citations
1
Primary Topic
Theoretical and Computational Physics
Type
article
Field-Weighted Citation Impact
1.26

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article

Aging and sub-aging for one-dimensional random walks amongst random conductances

Daniel Kious, David A. Croydon, Carlo Scali
1 citations
Stochastic Processes and their Applications
Theoretical and Computational Physics
1.26
article

Aging and sub-aging for one-dimensional random walks amongst random conductances

Daniel Kious, David A. Croydon, Carlo Scali
article en
1 citations

Abstract

We consider random walks amongst random conductances in the cases where the conductances can be arbitrarily small, with a heavy-tailed distribution at 0, and where the conductances may or may not have a heavy-tailed distribution at infinity. We study the long time behaviour of these processes and prove aging statements. When the heavy tail is only at 0, we prove that aging can be observed for the maximum of the process, i.e. the same maximal value is attained repeatedly over long time-scales. When there are also heavy tails at infinity, we prove a classical aging result for the position of the walker, as well as a sub-aging result that occurs on a shorter time-scale.

Stochastic Processes and their ApplicationsVol. 182
Kyoto University (JP), University of Bath (GB), Technical University of Munich (DE)
Engineering and Physical Sciences Research Council
Openalex Percentile: Top 25%
Theoretical and Computational Physics
1.26
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