Thermodynamically Constrained Information Geometric Regularization for Compressible Flows

TL;DR

This paper introduces a thermodynamically constrained information geometric regularization for compressible flows, improving shock mitigation and singularity handling while preserving inviscid properties.

Contribution

It extends existing geometric regularization methods by incorporating thermodynamic constraints via Shannon entropy, connecting thermodynamics with geometric mechanics for fluid modeling.

Findings

Mitigates cusp singularities in simulations

Maintains benefits of inviscid regularization

Demonstrates effectiveness in 1D and 2D simulations

Abstract

We construct and analyze a thermodynamic extension of the recently proposed information geometric regularization of Cao and Sch\"afer. The construction extends their shock-mitigating Hessian metric geometry using the Shannon entropy to constrain the regularized motion based on a thermodynamic length. Reformulating the equations in terms of mass and specific entropy explicitly connects the thermodynamic state to a position in the diffeomorphism group, allowing for a derivation of the regularized equations using an information geometric mechanics formalism based on geodesics on a Hessian manifold with a dual affine connection. The dynamics are defined using a pullback geometry for the Levi--Civita connection, describing constrained geodesic motion, and the cubic Amari--Chentsov tensor describing the information geometric correction. This new compressible fluid model introduces an anisotropic stress tensor to the momentum equation that vanishes along isentropic directions and an additional elliptic equation coupled to the barotropic regularization. Numerical simulations in one and two spatial dimensions demonstrate that the geometrically consistent incorporation of a thermodynamic constraint mitigates cusp singularities previously observed in other approaches while still maintaining the benefits of an inviscid regularization.