Mathematical study of a new Navier-Stokes-alpha model with nonlinear filter equation -- Part I
Manuel Fernando Cortez, Oscar Jarrin
TL;DR
This work provides a rigorous mathematical analysis of a novel Navier–Stokes–alpha type model featuring a nonlinear filter that adapts eddy damping via an indicator $A$. The authors establish global existence of weak Leray solutions, derive a conditional uniqueness result under regularity assumptions on $A$ and the mollifier $\\varphi$, and prove convergence to classical models as $\\alpha\\to0$ (NS) and $\\beta\\to1$ (Leray–alpha). They also study the long-time behavior by constructing a global attractor and giving explicit, parameter-dependent upper bounds on its fractal dimension, highlighting how forcing and regularization parameters influence attractor size. The results rely on a regularized filter equation to secure $H^2$ control and use periodic boundary conditions to exploit Fourier-analytic techniques, yielding a coherent theoretical justification for the alpha-model as a robust regularization of NS with meaningful turbulence-relevant dynamics.
Abstract
This article is devoted to the mathematical study of a new Navier-Stokes-alpha model with a nonlinear filter equation. For a given indicator function, this filter equation was first considered by W. Layton, G. Rebholz, and C. Trenchea to select eddies for damping based on the understanding of how nonlinearity acts in real flow problems. Numerically, this nonlinear filter equation was applied to the nonlinear term in the Navier-Stokes equations to provide a precise analysis of numerical diffusion and error estimates. Mathematically, the resulting alpha-model is described by a doubly nonlinear parabolic-elliptic coupled system. We therefore undertake the first theoretical study of this system by considering periodic boundary conditions in the spatial variable. Specifically, we address the existence and uniqueness of weak Leray-type solutions, their rigorous convergence to weak Leray solutions of the classical Navier-Stokes equations, and their long-time dynamics through the concept of the global attractor and some upper bounds for its fractal dimension. Handling the nonlinear filter equation together with the well-known nonlinear transport term makes certain estimates delicate, particularly when deriving upper bounds on the fractal dimension. For the latter, we adapt techniques developed for hyperbolic-type equations.
