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arXiv 1907.02483math.APmath-phmath.MP
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小数据下二维Boltzmann方程的全局良好性分析

Small data global well-posedness for a Boltzmann equation via bilinear spacetime estimates

University of Texas at Austin(德克萨斯大学奥斯汀分校)

Thomas Chen, Ryan Denlinger, Nataša Pavlović

AI总结:

本文通过双线性时空估计和Kaniel-Shinbrot迭代,研究了二维Boltzmann方程在小初始数据下的全局良好性与散射性质。

摘要:

我们对具有常数碰撞核的Boltzmann方程进行了新的分析。在二维空间中,临界Lebesgue空间是$L^2_{x,v}$;我们证明了全局良好性及散射性质,假设初始数据$f_0$足够光滑且局部化,并且$f_0$在$L^2_{x,v}$范数下足够小。证明依赖于Boltzmann方程碰撞“增益”项的新临界双线性时空估计,以及Kaniel-Shinbrot迭代的新应用。

英文摘要:

We provide a new analysis of the Boltzmann equation with constant collision kernel in two space dimensions. The scaling-critical Lebesgue space is $L^2_{x,v}$; we prove global well-posedness and a version of scattering, assuming that the data $f_0$ is sufficiently smooth and localized, and the $L^2_{x,v}$ norm of $f_0$ is sufficiently small. The proof relies upon a new scaling-critical bilinear spacetime estimate for the collision "gain" term in Boltzmann's equation, combined with a novel application of the Kaniel-Shinbrot iteration.

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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