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    Noise enables conditional recovery from collapse: Probabilistic persistence in threshold-activated systems

    Vinesh Vijayan*, B. Priyadharshini, R. Sathish Kumar, and G. Janaki

    • Department of Science and Humanities, Rathinam Technical Campus, Coimbatore 641021, India

    • *Contact author: vinesh.physics@rathinam.in

    Phys. Rev. E 112, 064212 – Published 19 December, 2025

    DOI: https://doi.org/10.1103/xgq1-nnqb

    Abstract

    We report a paradoxical phenomenon where stochasticity reverses deterministic collapse in threshold-activated systems. By using a hybrid logistic-sigmoidal map, we show that weak noise alters phase-space topology, enabling probabilistic recovery from extinction. Lyapunov and quasipotential analyses reveal noise-induced metastability and stochastic robustness absent in deterministic frameworks. These results suggest that environmental variability can stabilize nonlinear systems, offering a counternarrative to classical extinction theory.

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