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arXiv:1902.04598math-ph

On the information content of the difference from hamiltonian evolution

Marius Buliga

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Abstract

A dissipative version of hamiltonian mechanics is proposed via a principle of minimal information content of the deviation from hamiltonian evolution. We show that we can cover viscosity, plasticity, damage and unilateral contact. This article continues arXiv:1807.10480

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Subjects
math-phMathematical Physics cs.ITInformation Theory

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  1. Lagrangian Neural Networks 1 comment

    • I found the previous Hamiltonian Neural Networks [0]. If the authors are here, I'd be interested to use [1] for a version with dissipation. [0] https://greydanus.github.io/2019/05/15/hamiltonian-nns/ [1] https://arxiv.org/abs/1902.04598

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