A Large Deviation Perspective on Ratio Observables in Reset Processes: Robustness of Rate Functions
| dc.contributor.author | Coghi, F | |
| dc.contributor.author | Harris, RJ | |
| dc.date.accessioned | 2020-04-08T08:37:55Z | |
| dc.date.available | 2020-02-24 | |
| dc.date.available | 2020-04-08T08:37:55Z | |
| dc.date.issued | 2020-03 | |
| dc.identifier.citation | Coghi, F., & Harris, R. (2020). A Large Deviation Perspective on Ratio Observables in Reset Processes: Robustness of Rate Functions. Journal Of Statistical Physics, 179(1), 131-154. doi: 10.1007/s10955-020-02513-3 | en_US |
| dc.identifier.issn | 0022-4715 | |
| dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/63519 | |
| dc.description.abstract | We study large deviations of a ratio observable in discrete-time reset processes. The ratio takes the form of a current divided by the number of reset steps and as such it is not extensive in time. A large deviation rate function can be derived for this observable via contraction from the joint probability density function of current and number of reset steps. The ratio rate function is differentiable and we argue that its qualitative shape is ‘robust’, i.e. it is generic for reset processes regardless of whether they have short- or long-range correlations. We discuss similarities and differences with the rate function of the efficiency in stochastic thermodynamics. | en_US |
| dc.language | en | |
| dc.publisher | Springer Science and Business Media LLC | en_US |
| dc.relation.ispartof | Journal of Statistical Physics | |
| dc.rights | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | |
| dc.rights | Attribution 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/us/ | * |
| dc.title | A Large Deviation Perspective on Ratio Observables in Reset Processes: Robustness of Rate Functions | en_US |
| dc.type | Article | en_US |
| dc.rights.holder | © The Author(s) 2020 | |
| dc.identifier.doi | 10.1007/s10955-020-02513-3 | |
| pubs.notes | Not known | en_US |
| pubs.publication-status | Published online | en_US |
| dcterms.dateAccepted | 2020-02-24 | |
| rioxxterms.funder | Default funder | en_US |
| rioxxterms.identifier.project | Default project | en_US |
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Except where otherwise noted, this item's license is described as This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
