A stochastic version and a Liouville theorem for hamiltonian inclusions with convex dissipation
Marius Buliga

TL;DR
This paper introduces a stochastic extension of Hamiltonian systems with convex dissipation and establishes a Liouville theorem based on a minimal dissipation cost functional, advancing the understanding of their statistical properties.
Contribution
It presents a novel stochastic formulation of Hamiltonian systems with convex dissipation and proves a Liouville theorem in this context, filling a gap in the statistical theory.
Findings
Developed a stochastic version of the SBEN principle.
Proved a Liouville type theorem for dissipative Hamiltonian systems.
Connected dissipation cost functional with statistical properties.
Abstract
The statistical counterpart of the formalism of hamiltonian systems with convex dissipation arXiv:0810.1419 , arXiv:1408.3102 is a completely open subject. Here are described a stochastic version of the SBEN principle and a Liouville type theorem which uses a minimal dissipation cost functional.
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Control and Stability of Dynamical Systems · Statistical Mechanics and Entropy
