Conditioned stochastic stability of equilibrium states on uniformly expanding repellers
Year: 2026
Type: article
Abstract: We propose a notion of conditioned stochastic stability of invariant measures on repellers: we consider whether quasi-ergodic measures of absorbing Markov processes, generated by random perturbations of the deterministic dynamics and conditioned upon survival in a neighbourhood of a repeller, converge to an invariant measure in the zero-noise limit. Under suitable choices of the random perturbation, we find that equilibrium states on uniformly expanding repellers are conditioned stochastically stable. In the process, we contribute to the rigorous foundation for the existence of ‘natural measures’, which were proposed by Kantz and Grassberger [Repellers, semi-attractors, and long-lived chaotic transients. Phys. D , vol. 17(1), 1985, pp. 75–86] to aid the understanding of chaotic transients.
Language: English
Subfield: Mathematical Physics
Field: Mathematics
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,550
Awards: G1600321425, G2019088203, G3262250305, Attractors in random dynamical systems with bounded noise: persistence, resilience and bifurcations, Breakthrough mathematics for dynamical systems and data, G5368403867, Bifurcations of random dynamical systems with bounded noise, EPSRC Centre for Doctoral Training in Mathematics of Random Systems: Analysis, Modelling and Simulation
OpenAlex ID: W4396645844
