Geometric Phase of Stochastic Oscillators
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866909786366279680 |
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| author | Du, Yangyang |
| author_facet | Du, Yangyang |
| contents | Several definitions of phase have been proposed for stochastic oscillators, among which the mean-return-time phase and the stochastic asymptotic phase have drawn particular attention. Quantitative comparisons between these two definitions have been done in previous studies, but physical interpretations of such a relation are still missing. In this work, we illustrate this relation using the geometric phase, which is an essential concept in both classical and quantum mechanics. We use properties of probability currents and the generalized Doob's h-transform to explain how the geometric phase arises in stochastic oscillators. Such an analogy is also reminiscent of the noise-induced phase shift in oscillatory systems with deterministic perturbation, allowing us to compare the phase responses in deterministic and stochastic oscillators. The resulting framework unifies these distinct phase definitions and reveals that their difference is governed by a geometric drift term analogous to curvature. This interpretation bridges spectral theory, stochastic dynamics, and geometric phase, and provides new insight into how noise reshapes oscillatory behavior. Our results suggest broader applications of geometric-phase concepts to coupled stochastic oscillators and neural models. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2509_10900 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Geometric Phase of Stochastic Oscillators Du, Yangyang Mathematical Physics Statistical Mechanics Chaotic Dynamics Neurons and Cognition Several definitions of phase have been proposed for stochastic oscillators, among which the mean-return-time phase and the stochastic asymptotic phase have drawn particular attention. Quantitative comparisons between these two definitions have been done in previous studies, but physical interpretations of such a relation are still missing. In this work, we illustrate this relation using the geometric phase, which is an essential concept in both classical and quantum mechanics. We use properties of probability currents and the generalized Doob's h-transform to explain how the geometric phase arises in stochastic oscillators. Such an analogy is also reminiscent of the noise-induced phase shift in oscillatory systems with deterministic perturbation, allowing us to compare the phase responses in deterministic and stochastic oscillators. The resulting framework unifies these distinct phase definitions and reveals that their difference is governed by a geometric drift term analogous to curvature. This interpretation bridges spectral theory, stochastic dynamics, and geometric phase, and provides new insight into how noise reshapes oscillatory behavior. Our results suggest broader applications of geometric-phase concepts to coupled stochastic oscillators and neural models. |
| title | Geometric Phase of Stochastic Oscillators |
| topic | Mathematical Physics Statistical Mechanics Chaotic Dynamics Neurons and Cognition |
| url | https://arxiv.org/abs/2509.10900 |