Dissipative trapping without permanent pinning in a random friction landscape

Preprint on the transport of an inertial particle driven by an Ornstein–Uhlenbeck force in a spatially random Coulomb-friction landscape. The paper establishes that Brownian-scale transport can be suppressed while escape from every finite interval remains almost sure. It also derives local high-threshold activation and transmission laws and compares them with regenerative Monte Carlo calculations. The record includes the manuscript, supplemental derivations, source code and processed figure data, and all 11 raw CSV inputs for the reported numerical study. The data cover 4.9 million independent paths sampled at three coupled time-grid resolutions. The raw data are distributed in 59 numbered parts. Follow RAW-DATA-README.md to reassemble and verify the ZIP archive.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-10
DOI
https://doi.org/10.5281/zenodo.24090883
Primary Topic
stochastic dynamics and bifurcation
Type
preprint
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preprint

Dissipative trapping without permanent pinning in a random friction landscape

Weiqi Jiang
Zenodo (CERN European Organization for Nuclear Research)
stochastic dynamics and bifurcation
preprint

Dissipative trapping without permanent pinning in a random friction landscape

Weiqi Jiang
preprint en

Abstract

Preprint on the transport of an inertial particle driven by an Ornstein–Uhlenbeck force in a spatially random Coulomb-friction landscape. The paper establishes that Brownian-scale transport can be suppressed while escape from every finite interval remains almost sure. It also derives local high-threshold activation and transmission laws and compares them with regenerative Monte Carlo calculations. The record includes the manuscript, supplemental derivations, source code and processed figure data, and all 11 raw CSV inputs for the reported numerical study. The data cover 4.9 million independent paths sampled at three coupled time-grid resolutions. The raw data are distributed in 59 numbered parts. Follow RAW-DATA-README.md to reassemble and verify the ZIP archive.

Zenodo (CERN European Organization for Nuclear Research)
Chinese Academy of Sciences (CN), Institute of Theoretical Physics (CN)
stochastic dynamics and bifurcation
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