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

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Let ρ<1\rho<1, let β,λ≥0\beta,\lambda\geq0, and let Zβ,λZ^{\beta,\lambda} be the limiting process. For h>1h>1, define

θ(h):=P(sup⁡s≤1Zsβ,λ=sup⁡s≤hZsβ,λ).\theta(h):=\mathbb{P}\left(\sup_{s\leq1}Z^{\beta,\lambda}_s=\sup_{s\leq h}Z^{\beta,\lambda}_s\right).

Aging conjecture.

lim⁡n→∞Pβ,λ/n(sup⁡s≤n1+1/ρXs=sup⁡s≤n1+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

lim⁡h→1θ(h)=1,lim⁡h→∞θ(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.

References

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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