Dynamical Large Deviations for Homogeneous Systems with Long Range Interactions and the Balescu–Guernsey–Lenard Equation
We establish a large deviation principle for time dependent trajectories (paths) of the empirical density of N particles with long range interactions, for homogeneous systems. This result extends the classical kinetic theory that leads to the Balescu–Guernsey–Lenard kinetic equation, by the explicit...
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Veröffentlicht in: | Journal of statistical physics 2022-02, Vol.186 (2), Article 22 |
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description | We establish a large deviation principle for time dependent trajectories (paths) of the empirical density of
N
particles with long range interactions, for homogeneous systems. This result extends the classical kinetic theory that leads to the Balescu–Guernsey–Lenard kinetic equation, by the explicit computation of the probability of typical and large fluctuations. The large deviation principle for the paths of the empirical density is obtained through explicit computations of a large deviation Hamiltonian. This Hamiltonian encodes all the cumulants for the fluctuations of the empirical density, after time averaging of the fast fluctuations. It satisfies a time reversal symmetry, related to the detailed balance for the stochastic process of the empirical density. This explains in a very simple way the increase of the macrostate entropy for the most probable states, while the stochastic process is time reversible, and describes the complete stochastic process at the level of large deviations. |
doi_str_mv | 10.1007/s10955-021-02854-7 |
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N
particles with long range interactions, for homogeneous systems. This result extends the classical kinetic theory that leads to the Balescu–Guernsey–Lenard kinetic equation, by the explicit computation of the probability of typical and large fluctuations. The large deviation principle for the paths of the empirical density is obtained through explicit computations of a large deviation Hamiltonian. This Hamiltonian encodes all the cumulants for the fluctuations of the empirical density, after time averaging of the fast fluctuations. It satisfies a time reversal symmetry, related to the detailed balance for the stochastic process of the empirical density. This explains in a very simple way the increase of the macrostate entropy for the most probable states, while the stochastic process is time reversible, and describes the complete stochastic process at the level of large deviations.</description><identifier>ISSN: 0022-4715</identifier><identifier>EISSN: 1572-9613</identifier><identifier>DOI: 10.1007/s10955-021-02854-7</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Density ; Deviation ; Kinetic equations ; Kinetic theory ; Mathematical and Computational Physics ; Physical Chemistry ; Physics ; Physics and Astronomy ; Quantum Physics ; Statistical Physics and Dynamical Systems ; Stochastic models ; Stochastic processes ; Theoretical ; Time dependence</subject><ispartof>Journal of statistical physics, 2022-02, Vol.186 (2), Article 22</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021</rights><rights>COPYRIGHT 2022 Springer</rights><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c358t-8f4ee5cd16228754bc8c2bfe56b1a66ea76a955ad487031d9db8303f6f911d9b3</citedby><cites>FETCH-LOGICAL-c358t-8f4ee5cd16228754bc8c2bfe56b1a66ea76a955ad487031d9db8303f6f911d9b3</cites><orcidid>0000-0002-1623-0818</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10955-021-02854-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10955-021-02854-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids></links><search><creatorcontrib>Feliachi, Ouassim</creatorcontrib><creatorcontrib>Bouchet, Freddy</creatorcontrib><title>Dynamical Large Deviations for Homogeneous Systems with Long Range Interactions and the Balescu–Guernsey–Lenard Equation</title><title>Journal of statistical physics</title><addtitle>J Stat Phys</addtitle><description>We establish a large deviation principle for time dependent trajectories (paths) of the empirical density of
N
particles with long range interactions, for homogeneous systems. This result extends the classical kinetic theory that leads to the Balescu–Guernsey–Lenard kinetic equation, by the explicit computation of the probability of typical and large fluctuations. The large deviation principle for the paths of the empirical density is obtained through explicit computations of a large deviation Hamiltonian. This Hamiltonian encodes all the cumulants for the fluctuations of the empirical density, after time averaging of the fast fluctuations. It satisfies a time reversal symmetry, related to the detailed balance for the stochastic process of the empirical density. This explains in a very simple way the increase of the macrostate entropy for the most probable states, while the stochastic process is time reversible, and describes the complete stochastic process at the level of large deviations.</description><subject>Density</subject><subject>Deviation</subject><subject>Kinetic equations</subject><subject>Kinetic theory</subject><subject>Mathematical and Computational Physics</subject><subject>Physical Chemistry</subject><subject>Physics</subject><subject>Physics and Astronomy</subject><subject>Quantum Physics</subject><subject>Statistical Physics and Dynamical Systems</subject><subject>Stochastic models</subject><subject>Stochastic processes</subject><subject>Theoretical</subject><subject>Time dependence</subject><issn>0022-4715</issn><issn>1572-9613</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kctq3DAUhkVpINMkL5CVoGtPJdm6eJkm0yRgCOSyFrJ9NHGYkWYku2Wgi75D3zBPktO40F0RQhf-79x-Qs45W3LG9JfMWS1lwQTHbWRV6A9kwaUWRa14-ZEsGBOiqDSXx-RTzi-MsdrUckF-Xh2C2w6d29DGpTXQK_g-uHGIIVMfE72J27iGAHHK9OGQR9hm-mMYn2kTw5reu4DIbRghuW6GXOjp-Az0q9tA7qbXX7-vJ0ghwwGvDQSXerraT-8pTsmRd5sMZ3_PE_L0bfV4eVM0d9e3lxdN0ZXSjIXxFYDseq6EMFpWbWc60XqQquVOKXBaOeze9ZXRrOR93bemZKVXvub4assT8nmOu0txP0Ee7UucUsCUViiuasO1Eahazqo1lm6H4OOIXeHqAQcUA_gB_y-UMYZXlWQIiBnoUsw5gbe7NGxdOljO7B9b7GyLRVvsuy1WI1TOUEYxTi_9q-U_1Bt4bJN-</recordid><startdate>20220201</startdate><enddate>20220201</enddate><creator>Feliachi, Ouassim</creator><creator>Bouchet, Freddy</creator><general>Springer US</general><general>Springer</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-1623-0818</orcidid></search><sort><creationdate>20220201</creationdate><title>Dynamical Large Deviations for Homogeneous Systems with Long Range Interactions and the Balescu–Guernsey–Lenard Equation</title><author>Feliachi, Ouassim ; Bouchet, Freddy</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c358t-8f4ee5cd16228754bc8c2bfe56b1a66ea76a955ad487031d9db8303f6f911d9b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Density</topic><topic>Deviation</topic><topic>Kinetic equations</topic><topic>Kinetic theory</topic><topic>Mathematical and Computational Physics</topic><topic>Physical Chemistry</topic><topic>Physics</topic><topic>Physics and Astronomy</topic><topic>Quantum Physics</topic><topic>Statistical Physics and Dynamical Systems</topic><topic>Stochastic models</topic><topic>Stochastic processes</topic><topic>Theoretical</topic><topic>Time dependence</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Feliachi, Ouassim</creatorcontrib><creatorcontrib>Bouchet, Freddy</creatorcontrib><collection>CrossRef</collection><jtitle>Journal of statistical physics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Feliachi, Ouassim</au><au>Bouchet, Freddy</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dynamical Large Deviations for Homogeneous Systems with Long Range Interactions and the Balescu–Guernsey–Lenard Equation</atitle><jtitle>Journal of statistical physics</jtitle><stitle>J Stat Phys</stitle><date>2022-02-01</date><risdate>2022</risdate><volume>186</volume><issue>2</issue><artnum>22</artnum><issn>0022-4715</issn><eissn>1572-9613</eissn><abstract>We establish a large deviation principle for time dependent trajectories (paths) of the empirical density of
N
particles with long range interactions, for homogeneous systems. This result extends the classical kinetic theory that leads to the Balescu–Guernsey–Lenard kinetic equation, by the explicit computation of the probability of typical and large fluctuations. The large deviation principle for the paths of the empirical density is obtained through explicit computations of a large deviation Hamiltonian. This Hamiltonian encodes all the cumulants for the fluctuations of the empirical density, after time averaging of the fast fluctuations. It satisfies a time reversal symmetry, related to the detailed balance for the stochastic process of the empirical density. This explains in a very simple way the increase of the macrostate entropy for the most probable states, while the stochastic process is time reversible, and describes the complete stochastic process at the level of large deviations.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s10955-021-02854-7</doi><orcidid>https://orcid.org/0000-0002-1623-0818</orcidid></addata></record> |
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subjects | Density Deviation Kinetic equations Kinetic theory Mathematical and Computational Physics Physical Chemistry Physics Physics and Astronomy Quantum Physics Statistical Physics and Dynamical Systems Stochastic models Stochastic processes Theoretical Time dependence |
title | Dynamical Large Deviations for Homogeneous Systems with Long Range Interactions and the Balescu–Guernsey–Lenard Equation |
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