From Non-local to Local Navier–Stokes Equations

IF 1.6 2区 数学 Q2 MATHEMATICS, APPLIED
Oscar Jarrín, Geremy Loachamín
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引用次数: 0

Abstract

Inspired by some experimental (numerical) works on fractional diffusion PDEs, we develop a rigorous framework to prove that solutions to the fractional Navier–Stokes equations, which involve the fractional Laplacian operator \((-\Delta )^{\frac{\alpha }{2}}\) with \(\alpha <2\), converge to a solution of the classical case, with \(-\Delta \), when \(\alpha \) goes to 2. Precisely, in the setting of mild solutions, we prove uniform convergence in the \(L^{\infty }_{t,x}\)-space and derive a precise convergence rate, revealing some phenomenological effects. As a bi-product, we prove strong convergence in the \(L^{p}_{t}L^{q}_{x}\)-space. Finally, our results are also generalized to the coupled setting of the Magnetic-hydrodynamic system.

从非局部纳维-斯托克斯方程到局部纳维-斯托克斯方程
受一些关于分数扩散 PDE 的实验(数值)工作的启发,我们建立了一个严格的框架来证明分数 Navier-Stokes 方程的解,其中涉及分数拉普拉斯算子 \((-\Delta )^{frac\{alpha }{2}}\) with \(\alpha <2\),当 \(\alpha \) 变为 2 时,会收敛到经典情况下的解,即 \(-\Delta \)。准确地说,在温和解的设置中,我们证明了在\(L^{\infty }_{t,x}\)空间中的均匀收敛性,并推导出精确的收敛率,揭示了一些现象学效应。作为副产品,我们证明了在\(L^{p}_{t}L^{q}_{x}\)空间中的强收敛性。最后,我们的结果还被推广到磁流体动力学系统的耦合设置中。
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来源期刊
CiteScore
3.30
自引率
5.60%
发文量
103
审稿时长
>12 weeks
期刊介绍: The Applied Mathematics and Optimization Journal covers a broad range of mathematical methods in particular those that bridge with optimization and have some connection with applications. Core topics include calculus of variations, partial differential equations, stochastic control, optimization of deterministic or stochastic systems in discrete or continuous time, homogenization, control theory, mean field games, dynamic games and optimal transport. Algorithmic, data analytic, machine learning and numerical methods which support the modeling and analysis of optimization problems are encouraged. Of great interest are papers which show some novel idea in either the theory or model which include some connection with potential applications in science and engineering.
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