Noise Reinstates Collapsed Populations: Stochastic Reversal of Deterministic Extinction

Fuente: arXiv
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Auteurs principaux: Vijayan, Vinesh, Priyadharshini, B, Kumar, R Sathish, Janaki, G
Format: Preprint
Publié: 2025
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author Vijayan, Vinesh
Priyadharshini, B
Kumar, R Sathish
Janaki, G
author_facet Vijayan, Vinesh
Priyadharshini, B
Kumar, R Sathish
Janaki, G
contents Conventional wisdom suggests that environmental noise drives populations toward extinction. In contrast, we report a paradoxical phenomenon in which stochasticity reverses a deterministic tipping point, thereby preventing collapse. Using a hybrid model that integrates logistic growth with a density-triggered sigmoidal collapse, we uncover a striking reversal: deterministic fragility on one side, and stochastic rescue under weak noise on the other. Our analysis demonstrates that noise disrupts the convergence of deterministic trajectories toward extinction by altering the phase space topology, enabling back-transitions to viable states. This mechanism gives rise to noise-induced metastability and reveals a form of stochastic robustness not captured by deterministic models. These findings suggest that natural fluctuations can serve as a stabilizing force in complex systems, offering a compelling counter-narrative to classical models in ecology, epidemiology, and beyond. We advocate for a re-evaluation of stabilization strategies, emphasizing the constructive role of stochasticity in averting population collapse.
format Preprint
id arxiv_https___arxiv_org_abs_2507_03954
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Noise Reinstates Collapsed Populations: Stochastic Reversal of Deterministic Extinction
Vijayan, Vinesh
Priyadharshini, B
Kumar, R Sathish
Janaki, G
Populations and Evolution
Mathematical Physics
Chaotic Dynamics
Computational Physics
Conventional wisdom suggests that environmental noise drives populations toward extinction. In contrast, we report a paradoxical phenomenon in which stochasticity reverses a deterministic tipping point, thereby preventing collapse. Using a hybrid model that integrates logistic growth with a density-triggered sigmoidal collapse, we uncover a striking reversal: deterministic fragility on one side, and stochastic rescue under weak noise on the other. Our analysis demonstrates that noise disrupts the convergence of deterministic trajectories toward extinction by altering the phase space topology, enabling back-transitions to viable states. This mechanism gives rise to noise-induced metastability and reveals a form of stochastic robustness not captured by deterministic models. These findings suggest that natural fluctuations can serve as a stabilizing force in complex systems, offering a compelling counter-narrative to classical models in ecology, epidemiology, and beyond. We advocate for a re-evaluation of stabilization strategies, emphasizing the constructive role of stochasticity in averting population collapse.
title Noise Reinstates Collapsed Populations: Stochastic Reversal of Deterministic Extinction
topic Populations and Evolution
Mathematical Physics
Chaotic Dynamics
Computational Physics
url https://arxiv.org/abs/2507.03954