Global wellposedness of general nonlinear evolution equations for distributions on the Fourier half space

IF 1.7 2区 数学 Q1 MATHEMATICS
Kenji Nakanishi , Baoxiang Wang
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引用次数: 0

Abstract

The Cauchy problem is studied for very general systems of evolution equations, where the time derivative of solution is written by Fourier multipliers in space and analytic nonlinearity, with no other structural requirement. We construct a function space for the Fourier transform embedded in the space of distributions, and establish the global wellposedness with no size restriction. The major restriction on the initial data is that the Fourier transform is supported on the half space, decaying at the boundary in the sense of measure. We also require uniform integrability for the orthogonal directions in the distribution sense, but no other condition. In particular, the initial data may be much more rough than the tempered distributions, and may grow polynomially at the spatial infinity. A simpler argument is also presented for the solutions locally integrable in the frequency. When the Fourier support is slightly more restricted to a conical region, the generality of equations is extremely wide, including those that are even locally illposed in the standard function spaces, such as the backward heat equations, as well as those with infinite derivatives and beyond the natural boundary of the analytic nonlinearity. As more classical examples, our results may be applied to the incompressible and compressible Navier-Stokes and Euler equations, the nonlinear diffusion and wave equations, and so on. In particular, the wellposedness includes uniqueness of very weak solution for those equations, under the Fourier support condition, but with no restriction on regularity or size of solutions. The major drawback of the Fourier support restriction is that the solutions cannot be real valued.
傅里叶半空间上分布的一般非线性演化方程的全局适定性
研究了非常一般的演化方程组的柯西问题,其中解的时间导数由空间和解析非线性的傅里叶乘子表示,没有其他结构要求。构造了嵌入分布空间的傅里叶变换的函数空间,并建立了不受大小限制的全局适定性。初始数据的主要限制是傅里叶变换在半空间上得到支持,在测量意义上在边界处衰减。我们还要求正交方向在分布意义上一致可积,但没有其他条件。特别是,初始数据可能比缓和分布粗糙得多,并且可能在空间无穷大处多项式增长。对于解在频率上局部可积,给出了一个更简单的论证。当傅里叶支持稍微局限于圆锥区域时,方程的普遍性非常广泛,包括那些甚至在标准函数空间中局部不适定的方程,例如后向热方程,以及那些具有无限导数和超出解析非线性自然边界的方程。作为更经典的例子,我们的结果可以应用于不可压缩和可压缩的Navier-Stokes方程和Euler方程,非线性扩散方程和波动方程等。特别地,适定性包括在傅里叶支持条件下这些方程的极弱解的唯一性,但对解的正则性和大小没有限制。傅里叶支持限制的主要缺点是解不能是实值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.20
自引率
5.90%
发文量
271
审稿时长
7.5 months
期刊介绍: The Journal of Functional Analysis presents original research papers in all scientific disciplines in which modern functional analysis plays a basic role. Articles by scientists in a variety of interdisciplinary areas are published. Research Areas Include: • Significant applications of functional analysis, including those to other areas of mathematics • New developments in functional analysis • Contributions to important problems in and challenges to functional analysis
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