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| Natura: | Preprint |
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2026
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| Accesso online: | https://arxiv.org/abs/2605.09805 |
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| _version_ | 1866913110154018816 |
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| author | Bosch, Mark van den van Gaans, Onno Lunel, Sjoerd Verduyn |
| author_facet | Bosch, Mark van den van Gaans, Onno Lunel, Sjoerd Verduyn |
| contents | Wright's delay differential equation is one of the prime examples of a fully nonlinear equation without an explicit solution and whose dynamics can be understood by analytic means. In this paper, we introduce stochastic perturbations by adding Brownian noise with a bounded Lipschitz noise coefficient to a transformed version of Wright's equation. The transformation considered plays an important role in the deterministic theory as well. We demonstrate that this stochastically perturbed equation has (at least) two invariant measures: a trivial measure concentrated at $-1$ and a nontrivial measure on $(-1,\infty)$. The crucial and most challenging step of the proof is showing that every solution is bounded away from $-1$ in probability. In addition, a major part of our analysis is devoted to deriving detailed estimates for Itô processes with a negative drift. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_09805 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Stochastic Wright's Equation: Existence of Invariant Measures Bosch, Mark van den van Gaans, Onno Lunel, Sjoerd Verduyn Probability Dynamical Systems Wright's delay differential equation is one of the prime examples of a fully nonlinear equation without an explicit solution and whose dynamics can be understood by analytic means. In this paper, we introduce stochastic perturbations by adding Brownian noise with a bounded Lipschitz noise coefficient to a transformed version of Wright's equation. The transformation considered plays an important role in the deterministic theory as well. We demonstrate that this stochastically perturbed equation has (at least) two invariant measures: a trivial measure concentrated at $-1$ and a nontrivial measure on $(-1,\infty)$. The crucial and most challenging step of the proof is showing that every solution is bounded away from $-1$ in probability. In addition, a major part of our analysis is devoted to deriving detailed estimates for Itô processes with a negative drift. |
| title | Stochastic Wright's Equation: Existence of Invariant Measures |
| topic | Probability Dynamical Systems |
| url | https://arxiv.org/abs/2605.09805 |