2022
DOI: 10.1007/s00526-021-02130-2
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Jump processes as generalized gradient flows

Abstract: We have created a functional framework for a class of non-metric gradient systems. The state space is a space of nonnegative measures, and the class of systems includes the Forward Kolmogorov equations for the laws of Markov jump processes on Polish spaces. This framework comprises a definition of a notion of solutions, a method to prove existence, and an archetype uniqueness result. We do this by using only the structure that is provided directly by the dissipation functional, which need not be homogeneous, a… Show more

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Cited by 19 publications
(8 citation statements)
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“…We pay attention to precisely quantifying the energy dissipation since this information is key to derive the compactness results to be used in Section 4. Denote by F n = (F n K σ ) K ∈ T ,σ ∈ E K the approximate fluxes at time step n ≥ 1, then taking inspiration in [29,30], we introduce the primal dissipation potential by setting…”
Section: Discrete Energy/dissipation Estimatesmentioning
confidence: 99%
“…We pay attention to precisely quantifying the energy dissipation since this information is key to derive the compactness results to be used in Section 4. Denote by F n = (F n K σ ) K ∈ T ,σ ∈ E K the approximate fluxes at time step n ≥ 1, then taking inspiration in [29,30], we introduce the primal dissipation potential by setting…”
Section: Discrete Energy/dissipation Estimatesmentioning
confidence: 99%
“…Our construction of an information geometry for dynamics is heavily based on the idea of using Legendre duality for the force and flux relation, proposed in the recent work of large deviations theory and the macroscopic fluctuation theorem for MJP and CRN led by A.Mieleke, R.I.A.Petterson, M.A.Peletier, D.R.M. Renger, J.Zimmer, and others 3 [75][76][77][78][79][80][81][82]. We clarified its information-geometric aspects in the context of CRN and thermodynamics in our previous work [83].…”
Section: Aim and Contributions Of This Workmentioning
confidence: 99%
“…48 Furthermore, dissipation functions have been recognized since the seminal work of Onsager [124][125][126]. However, only quadratic dissipation functions have been investigated until very recently [75][76][77][78][79][80][81][82]. This may be partly because we lack an adequate geometric language to handle the non-quadratic cases, i.e., information geometry.…”
Section: Generalized Gradient Flow and De Giorgi's Formulationmentioning
confidence: 99%
“…Our work, which takes a different route, not only sheds new light onto the unveiling of a gradient flow structure for (1.1), but also provides the well-posedness (in the sense of entropy solutions) of (1.1) for a general class of interaction potentials, including the Newtonian potential, which we believe to be novel. This route is inspired by deterministic particle approximations (DPA) designed for equations like (1.1) [24,27,28,34], by recent advances in the theory of generalized gradient structures [32,45], and by the asymptotic limits of such structures [43,47]. More explicitly, we introduce a DPA for the approximation of (1.1) that possesses a generalized gradient structure, and show that this approximation converges to the unique entropy solution of (1.1), which also exhibits a gradient structure.…”
Section: Introductionmentioning
confidence: 99%