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${\mathbf R}^{3}$中Navier-Stokes方程的适定性和稳定性结果

Wellposedness and stability results for the Navier-Stokes equations in ${\mathbf R}^{3}$

Jean-Yves Chemin, Isabelle Gallagher

摘要:

在以前的工作中,我们提出了一类初始数据的三维,周期,不可压缩的Navier-Stokes方程斯托克斯方程,产生一个整体光滑的解决方案,虽然初始数据的范数可以选择任意大。本文的目的是双重的。首先,我们适应的情况下,整个空间的建设:我们证明了,如果某一非线性函数的初始数据是足够小的,在Koch-Tataru型空间,那么有一个整体解决方案的Navier-斯托克斯方程。我们提供了一个例子,初始数据满足非线性小的条件,但其范数是任意大的$ C^{-1}$。然后在非线性小性假设下证明了一个稳定性结果。更确切地说,我们表明,新的小假设也适用于线性叠加的平移和扩张迭代的初始数据,在建设的精神,由作者和H。Bahouri,从而产生了大量不同的例子。

英文摘要:

In a previous work, we presented a class of initial data to the three dimensional, periodic, incompressible Navier-Stokes equations, generating a global smooth solution although the norm of the initial data may be chosen arbitrarily large. The aim of this article is twofold. First, we adapt the construction to the case of the whole space: we prove that if a certain nonlinear function of the initial data is small enough, in a Koch-Tataru type space, then there is a global solution to the Navier-Stokes equations. We provide an example of initial data satisfying that nonlinear smallness condition, but whose norm is arbitrarily large in $ C^{-1}$. Then we prove a stability result on the nonlinear smallness assumption. More precisely we show that the new smallness assumption also holds for linear superpositions of translated and dilated iterates of the initial data, in the spirit of a construction by the authors and H. Bahouri, thus generating a large number of different examples.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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