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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2307.07690 |
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| _version_ | 1866915427260563456 |
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| author | Nguyen, Hung D. Wang, Lekun |
| author_facet | Nguyen, Hung D. Wang, Lekun |
| contents | We study the long time statistics of a two-dimensional Hamiltonian system in the presence of Gaussian white noise. While the original dynamics is known to exhibit finite time explosion, we demonstrate that under the impact of the stochastic forcing as well as a deterministic perturbation, the solutions are exponentially attractive toward the unique invariant probability measure. This extends previously established results in which the system is shown to be noise-induced stable in the sense that the solutions are bounded in probability. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2307_07690 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Geometric ergodicity of a stochastic Hamiltonian system Nguyen, Hung D. Wang, Lekun Probability We study the long time statistics of a two-dimensional Hamiltonian system in the presence of Gaussian white noise. While the original dynamics is known to exhibit finite time explosion, we demonstrate that under the impact of the stochastic forcing as well as a deterministic perturbation, the solutions are exponentially attractive toward the unique invariant probability measure. This extends previously established results in which the system is shown to be noise-induced stable in the sense that the solutions are bounded in probability. |
| title | Geometric ergodicity of a stochastic Hamiltonian system |
| topic | Probability |
| url | https://arxiv.org/abs/2307.07690 |