Local well-posedness of the $1d$ compressible Navier-Stokes system with rough data
Ke Chen, Ruilin Hu, Quoc-Hung Nguyen

TL;DR
This paper introduces a novel method to establish local well-posedness for the one-dimensional compressible Navier-Stokes equations with rough initial data, utilizing smoothing and Lipschitz estimates for parabolic equations with discontinuous coefficients.
Contribution
It develops a new analytical approach based on smoothing and Lipschitz estimates to handle rough initial data in 1D compressible Navier-Stokes systems.
Findings
Proves local well-posedness for rough initial data
Establishes smoothing estimates for parabolic equations with discontinuous coefficients
Provides a framework for analyzing rough data in compressible fluid models
Abstract
This paper presents a new approach to the local well-posedness of the compressible Navier-Stokes systems with rough initial data. Our approach is based on establishing some smoothing and Lipschitz-type estimates for the parabolic equation with piecewise continuous coefficients.
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Taxonomy
TopicsAdvanced Mathematical Physics Problems · Navier-Stokes equation solutions · Stability and Controllability of Differential Equations
