Random attractors and nonergodic attractors for diffusions with degeneracies
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866914011288698880 |
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| author | Bakhtin, Yuri Raquépas, Renaud Young, Lai-Sang |
| author_facet | Bakhtin, Yuri Raquépas, Renaud Young, Lai-Sang |
| contents | We consider a diffusion on a bounded domain, assuming that the system is irreducible inside the domain and that the diffusion has varying degree of degeneracy on the domain's boundary. The long-term statistical properties of typical trajectories started inside the domain may be governed by one invariant measure or more than one invariant measure. We describe various possible scenarios. In dimensions 1 and 2 under boundary hyperbolicity assumptions, we give a complete classification of the limiting behavior and answer the question whether sequential averaging involving more than one invariant distribution occurs. In all cases, we compute the set of weak limit points of empirical measures. Our hitting-time estimates used to prove transience or recurrence are based on a new version of the Foster-Lyapunov technique. Extensions to nonhyperbolic boundaries and higher dimensions are discussed and an application to growth rates in scalable networks is given. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2508_20968 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Random attractors and nonergodic attractors for diffusions with degeneracies Bakhtin, Yuri Raquépas, Renaud Young, Lai-Sang Probability Dynamical Systems 37A25, 37H30, 60J60 We consider a diffusion on a bounded domain, assuming that the system is irreducible inside the domain and that the diffusion has varying degree of degeneracy on the domain's boundary. The long-term statistical properties of typical trajectories started inside the domain may be governed by one invariant measure or more than one invariant measure. We describe various possible scenarios. In dimensions 1 and 2 under boundary hyperbolicity assumptions, we give a complete classification of the limiting behavior and answer the question whether sequential averaging involving more than one invariant distribution occurs. In all cases, we compute the set of weak limit points of empirical measures. Our hitting-time estimates used to prove transience or recurrence are based on a new version of the Foster-Lyapunov technique. Extensions to nonhyperbolic boundaries and higher dimensions are discussed and an application to growth rates in scalable networks is given. |
| title | Random attractors and nonergodic attractors for diffusions with degeneracies |
| topic | Probability Dynamical Systems 37A25, 37H30, 60J60 |
| url | https://arxiv.org/abs/2508.20968 |