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Infinite family of second-law-like inequalities

Perez Espigares, Carlos et al · American Physical Society · 2012

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The probability distribution function for an out of equilibrium system may sometimes be approximated by a physically motivated "trial" distribution. A particularly interesting case is when a driven system (e.g., active matter) is approximated by a thermodynamic one. We show here that every set of trial distributions yields an inequality playing the role of a generalization of the second law. The better the approximation is, the more constraining the inequality becomes: this suggests a criterion for its accuracy, as well as an optimization procedure that may be implemented numerically and even experimentally. The fluctuation relation behind this inequality, a natural and practical extension of the Hatano-Sasa theorem, does not rely on the a priori knowledge of the stationary probability distribution. Fil: Perez Espigares, Carlos. Universidad de Granada. Facultad de Ciencias. Departamento de Electromagnetismo y Física de la Materia. Instituto "Carlos I" de Física Teórica y Computacional; España Fil: Kolton, Alejandro Benedykt. Comisión Nacional de Energía Atómica. Gerencia del Área de Energía Nuclear; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina

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APA 7

Perez Espigares, C. E. A. (2012). Infinite family of second-law-like inequalities. http://hdl.handle.net/11336/195927

MLA

Perez Espigares, Carlos et al. "Infinite family of second-law-like inequalities." 2012. http://hdl.handle.net/11336/195927.

Chicago

Perez Espigares, Carlos et al. 2012. "Infinite family of second-law-like inequalities.". http://hdl.handle.net/11336/195927.

Harvard

Perez Espigares, C. E. A. 2012, Infinite family of second-law-like inequalities, American Physical Society, available at: http://hdl.handle.net/11336/195927 [Accessed 8 Aug. 2026].

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Title
Infinite family of second-law-like inequalities
Author / contributors
Perez Espigares, Carlos et al
Publisher
American Physical Society
Publication year
2012
ISSN
1063-651X
ISSN
1063-651X
Language
English

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