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PreprintCC BY 4.0arXiv

Time-delayed feedback turns Arrhenius escape logarithmic

Abstract

Thermal escape is governed by the Arrhenius law, where the mean escape time scales exponentially with the barrier height. We show that the non-Markovianity induced by time-delayed feedback in the confining force removes this exponential scaling. Beyond a threshold set by the curvature of the minimum, the delay destabilizes the well, and the thermal noise seeds an instability that is subsequently amplified deterministically to the boundary leading to \textit{slingshot} escape trajectories. The escape time becomes logarithmic in the barrier, its fluctuations follow a Gumbel law, and an optimal delay enables escape faster than free diffusion. Our results propose time delay as a tunable and experimentally feasible control parameter for accelerating activated processes.

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BibTeX
@misc{podgaetsky2026timedelayed,
  title = {{Time-delayed feedback turns Arrhenius escape logarithmic}},
  author = {Roy Podgaetsky and Vishwajeet Kumar and Arnab Pal and Ohad Shpielberg},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2608.30624},
  eprint = {2608.30624},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2608.30624},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Time-delayed feedback turns Arrhenius escape logarithmic
AU  - Roy Podgaetsky
AU  - Vishwajeet Kumar
AU  - Arnab Pal
AU  - Ohad Shpielberg
PY  - 2026
DA  - 2026/09/06
PB  - arXiv
DO  - 10.48550/arxiv.2608.30624
UR  - https://arxiv.org/abs/2608.30624
AB  - Thermal escape is governed by the Arrhenius law, where the mean escape time scales exponentially with the barrier height. We show that the non-Markovianity induced by time-delayed feedback in the confining force removes this exponential scaling. Beyond a threshold set by the curvature of the minimum, the delay destabilizes the well, and the thermal noise seeds an instability that is subsequently amplified deterministically to the boundary leading to \textit{slingshot} escape trajectories. The escape time becomes logarithmic in the barrier, its fluctuations follow a Gumbel law, and an optimal delay enables escape faster than free diffusion. Our results propose time delay as a tunable and experimentally feasible control parameter for accelerating activated processes.
ER  -