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arXiv 2308.08078math.AP

具有奇异数据的 Kuramoto-Sivashinsky 方程解的存在性与解析性

Existence and analyticity of solutions of the Kuramoto-Sivashinsky equation with singular data

David M. Ambrose, Milton C. Lopes Filho, Helena J. Nussenzveig Lopes

AI总结:

本文研究 Kuramoto-Sivashinsky 方程在低正则奇异数据下的适定性,分别在 Wiener 代数型空间和不同维数的伪测度空间中建立解的存在性、抛物正则化增益及正时刻解析性。

摘要:

我们证明了具有低正则性数据的 Kuramoto-Sivashinsky 方程在基于 Wiener 代数的函数空间以及伪测度空间中解的存在性。在任意空间维数下,我们允许数据的原函数属于 Wiener 代数。在一维空间中,我们还允许数据属于一个负阶伪测度空间。在二维空间中,我们也允许数据属于一个比一维情形多一阶正则性的伪测度空间。在进行存在性论证的过程中,我们证明了与数据相比,解具有抛物型正则性增益。随后,我们证明这些解在其存在区间内的任意正时刻实际上都是解析的。

英文摘要:

We prove existence of solutions to the Kuramoto-Sivashinsky equation with low-regularity data, in function spaces based on the Wiener algebra and in pseudomeasure spaces. In any spatial dimension, we allow the data to have its antiderivative in the Wiener algebra. In one spatial dimension, we also allow data which is in a pseudomeasure space of negative order. In two spatial dimensions, we also allow data which is in a pseudomeasure space one derivative more regular than in the one-dimensional case. In the course of carrying out the existence arguments, we show a parabolic gain of regularity of the solutions as compared to the data. Subsequently, we show that the solutions are in fact analytic at any positive time in the interval of existence.

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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