The aging conjecture for the running maximum of the Mott random walk

Let ρ<1\rho<1, let β,λ0\beta,\lambda\geq0, and let Zβ,λZ^{\beta,\lambda} be the limiting process. For h>1h>1, define

θ(h):=P(sups1Zsβ,λ=supshZsβ,λ).\theta(h):=\mathbb{P}\left(\sup_{s\leq1}Z^{\beta,\lambda}_s=\sup_{s\leq h}Z^{\beta,\lambda}_s\right).

Aging conjecture.

limnPβ,λ/n(supsn1+1/ρXs=supsn1+1/ρhXs)=θ(h)for every h>1,\lim_{n\to\infty}\mathbb{P}^{\beta,\lambda/n}\left(\sup_{s\leq n^{1+1/\rho}}X_s=\sup_{s\leq n^{1+1/\rho}h}X_s\right)=\theta(h)\qquad\text{for every }h>1,

with

limh1θ(h)=1,limhθ(h)=0.\lim_{h\to1}\theta(h)=1,\qquad \lim_{h\to\infty}\theta(h)=0.

This predicts aging of the running maximum: on the anomalous time scale, the maximum over a time interval remains unchanged when the observation interval is enlarged by a factor hh with probability tending to θ(h)\theta(h). The source presents this as an expected property and does not establish it.

Sources & referencesView supporting material

Primary source

David A. Croydon, Ryoki Fukushima and Stefan Junk, “Anomalous scaling regime for one-dimensional Mott variable-range hopping”, arXiv:2010.01779 (2022).

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