Literature DB >> 24249769

Large deviations and gradient flows.

Stefan Adams1, Nicolas Dirr, Mark Peletier, Johannes Zimmer.   

Abstract

In recent work we uncovered intriguing connections between Otto's characterization of diffusion as an entropic gradient flow on the one hand and large-deviation principles describing the microscopic picture (Brownian motion) on the other. In this paper, we sketch this connection, show how it generalizes to a wider class of systems and comment on consequences and implications. Specifically, we connect macroscopic gradient flows with large-deviation principles, and point out the potential of a bigger picture emerging: we indicate that, in some non-equilibrium situations, entropies and thermodynamic free energies can be derived via large-deviation principles. The approach advocated here is different from the established hydrodynamic limit passage but extends a link that is well known in the equilibrium situation.

Keywords:  Wasserstein gradient flow; large-deviation theory; non-equilibrium system

Year:  2013        PMID: 24249769     DOI: 10.1098/rsta.2012.0341

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  5 in total

1.  Entropy and convexity for nonlinear partial differential equations.

Authors:  John M Ball; Gui-Qiang G Chen
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2013-11-18       Impact factor: 4.226

2.  Computing diffusivities from particle models out of equilibrium.

Authors:  Peter Embacher; Nicolas Dirr; Johannes Zimmer; Celia Reina
Journal:  Proc Math Phys Eng Sci       Date:  2018-04-11       Impact factor: 2.704

Review 3.  Some Recent Advances in Energetic Variational Approaches.

Authors:  Yiwei Wang; Chun Liu
Journal:  Entropy (Basel)       Date:  2022-05-18       Impact factor: 2.738

4.  Generative modeling of single-cell time series with PRESCIENT enables prediction of cell trajectories with interventions.

Authors:  Grace Hui Ting Yeo; Sachit D Saksena; David K Gifford
Journal:  Nat Commun       Date:  2021-05-28       Impact factor: 14.919

5.  Acceleration of Convergence to Equilibrium in Markov Chains by Breaking Detailed Balance.

Authors:  Marcus Kaiser; Robert L Jack; Johannes Zimmer
Journal:  J Stat Phys       Date:  2017-05-18       Impact factor: 1.548

  5 in total

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