Literature DB >> 29073017

Direct measurement of weakly nonequilibrium system entropy is consistent with Gibbs-Shannon form.

Momčilo Gavrilov1, Raphaël Chétrite1,2,3, John Bechhoefer4.   

Abstract

Stochastic thermodynamics extends classical thermodynamics to small systems in contact with one or more heat baths. It can account for the effects of thermal fluctuations and describe systems far from thermodynamic equilibrium. A basic assumption is that the expression for Shannon entropy is the appropriate description for the entropy of a nonequilibrium system in such a setting. Here we measure experimentally this function in a system that is in local but not global equilibrium. Our system is a micron-scale colloidal particle in water, in a virtual double-well potential created by a feedback trap. We measure the work to erase a fraction of a bit of information and show that it is bounded by the Shannon entropy for a two-state system. Further, by measuring directly the reversibility of slow protocols, we can distinguish unambiguously between protocols that can and cannot reach the expected thermodynamic bounds.

Entities:  

Keywords:  Shannon entropy; feedback trap; information theory; second law; stochastic thermodynamics

Year:  2017        PMID: 29073017      PMCID: PMC5651767          DOI: 10.1073/pnas.1708689114

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  21 in total

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Authors:  Antoine Bérut; Artak Arakelyan; Artyom Petrosyan; Sergio Ciliberto; Raoul Dillenschneider; Eric Lutz
Journal:  Nature       Date:  2012-03-07       Impact factor: 49.962

2.  Entropy production along a stochastic trajectory and an integral fluctuation theorem.

Authors:  Udo Seifert
Journal:  Phys Rev Lett       Date:  2005-07-20       Impact factor: 9.161

Review 3.  The entropy concept for non-equilibrium states.

Authors:  Elliott H Lieb; Jakob Yngvason
Journal:  Proc Math Phys Eng Sci       Date:  2013-10-08       Impact factor: 2.704

4.  Minimal energy cost for thermodynamic information processing: measurement and information erasure.

Authors:  Takahiro Sagawa; Masahito Ueda
Journal:  Phys Rev Lett       Date:  2009-06-24       Impact factor: 9.161

5.  Fast, bias-free algorithm for tracking single particles with variable size and shape.

Authors:  Andrew J Berglund; Matthew D McMahon; Jabez J McClelland; J Alexander Liddle
Journal:  Opt Express       Date:  2008-09-01       Impact factor: 3.894

6.  High-precision test of Landauer's principle in a feedback trap.

Authors:  Yonggun Jun; Momčilo Gavrilov; John Bechhoefer
Journal:  Phys Rev Lett       Date:  2014-11-04       Impact factor: 9.161

Review 7.  Feedback traps for virtual potentials.

Authors:  Momčilo Gavrilov; John Bechhoefer
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2017-03-06       Impact factor: 4.226

8.  Erasure without Work in an Asymmetric Double-Well Potential.

Authors:  Momčilo Gavrilov; John Bechhoefer
Journal:  Phys Rev Lett       Date:  2016-11-10       Impact factor: 9.161

9.  Comparison of free-energy estimators and their dependence on dissipated work.

Authors:  Seongjin Kim; Yong Woon Kim; Peter Talkner; Juyeon Yi
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2012-10-17

10.  Experimental test of Landauer's principle in single-bit operations on nanomagnetic memory bits.

Authors:  Jeongmin Hong; Brian Lambson; Scott Dhuey; Jeffrey Bokor
Journal:  Sci Adv       Date:  2016-03-11       Impact factor: 14.136

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Journal:  J Chem Phys       Date:  2018-12-14       Impact factor: 3.488

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3.  Thermodynamics of Majority-Logic Decoding in Information Erasure.

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Journal:  Entropy (Basel)       Date:  2019-03-15       Impact factor: 2.524

4.  A Programmable Mechanical Maxwell's Demon.

Authors:  Zhiyue Lu; Christopher Jarzynski
Journal:  Entropy (Basel)       Date:  2019-01-14       Impact factor: 2.524

5.  Fluctuation relations for irreversible emergence of information.

Authors:  J Ricardo Arias-Gonzalez
Journal:  Sci Rep       Date:  2022-10-14       Impact factor: 4.996

  5 in total

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