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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2022
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| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2204.10217 |
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| _version_ | 1866929592782028800 |
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| author | Müller, Fenna von Renesse, Max |
| author_facet | Müller, Fenna von Renesse, Max |
| contents | We propose estimators for dynamic second order response theory in coarse grained variables for driven out-of-equilibrium subsystems. The error is controlled through the the notion of subsystem spectral gap for the convergence of coarse grained observables. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2204_10217 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | Adiabatic Approximation of Coarse Grained Second Order Response Müller, Fenna von Renesse, Max Probability Data Analysis, Statistics and Probability We propose estimators for dynamic second order response theory in coarse grained variables for driven out-of-equilibrium subsystems. The error is controlled through the the notion of subsystem spectral gap for the convergence of coarse grained observables. |
| title | Adiabatic Approximation of Coarse Grained Second Order Response |
| topic | Probability Data Analysis, Statistics and Probability |
| url | https://arxiv.org/abs/2204.10217 |