Hamiltonian Information Geometric Regularization of the Compressible Euler Equations
William Barham, Brian K. Tran, Ben S. Southworth, and Florian Sch\"afer

TL;DR
This paper analyzes the thermodynamic and geometric properties of the information geometric regularization (IGR) for the compressible Euler equations, introducing Hamiltonian models and examining their numerical and theoretical behaviors.
Contribution
It decomposes IGR into conservative and dissipative parts, introduces Hamiltonian regularized models, and provides new insights into energy conservation and entropy production.
Findings
IGR conserves acoustic waves
HRE and HIGR models show defects in shock simulations
Decomposition aids in analyzing thermodynamic properties
Abstract
The recently proposed information geometric regularization (IGR) was the first inviscid regularization of the multi-dimensional compressible Euler equations, which enabled the simulation of realistic compressible fluid models at an unprecedented scale. However, the thermodynamic effects of this regularization have not yet been understood in a principled manner. To achieve a proper understanding of the thermodynamic aspects of the IGR, we decompose the regularization into its conservative dynamics, framed as a Hamiltonian subsystem, and its dissipative dynamics. In so doing, we further introduce two more models to compare to IGR, the Hamiltonian regularized Euler (HRE) model, which is the first multi-dimensional, non-dispersive Hamiltonian regularization of the compressible Euler equations with energy, as well as the Hamiltonian IGR (HIGR) model, which modifies the dissipation used in…
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Taxonomy
TopicsNavier-Stokes equation solutions · Gas Dynamics and Kinetic Theory · Model Reduction and Neural Networks
