Global well-posedness of 3-D inhomogeneous Navier-Stokes equations with ill-prepared initial data
Ping Zhang, Zhifei Zhang

TL;DR
This paper proves the global well-posedness of 3-D inhomogeneous Navier-Stokes equations for large, ill-prepared initial data that vary slowly in one spatial direction, extending previous results to more general initial conditions.
Contribution
It establishes global solutions for a broader class of initial data that do not meet smallness conditions, improving upon prior well-posedness results for ill-prepared data.
Findings
Global well-posedness for large ill-prepared initial data
Initial data do not satisfy previous smallness conditions
Significant extension of well-posedness results to more general initial conditions
Abstract
In this paper, we investigate the global well-posedness of 3-D incompressible inhomogeneous Navier-Stokes equations with ill-prepared large initial data which are slowly varying in one space variable, that is, initial data of the form for any and being sufficiently small. We remark that initial data of this type do not satisfy the smallness conditions in \cite{c-p-z,HPZ3} no matter how small is. In particular, this result greatly improves the global well-posedness result in \cite{PZZ3} with the so-called well-prepared initial data.
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Taxonomy
TopicsNavier-Stokes equation solutions · Advanced Mathematical Physics Problems · Computational Fluid Dynamics and Aerodynamics
