arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1208.0544math.AP
收藏

准线性薛定谔方程II:小数据和立方非线性

Quasilinear Schrödinger equations II: Small data and cubic nonlinearities

Jeremy L. Marzuola, Jason Metcalfe, Daniel Tataru

摘要:

在本项目的第一部分中,我们研究了小数据下一般拟线性薛定谔方程的低正则性局部适定性。这改进了,在小数据制度,以前的结果凯尼格,庞塞,和织女星以及凯尼格,庞塞,Rolvung,和织女星。在二次相互作用的设置中,(平移不变)的函数空间,其中使用的立方体上的$l^1$求和,以占Mizohata的可积性条件,这是一个必要条件的$L^2$适定性的线性方程。对于立方相互作用,这种可积性条件与薛定谔方程的固有$L^2$性质更好地吻合,并且这种可求和性不是必需的。因此,我们能够证明小数据的适定性在$H^s$空间。

英文摘要:

In part I of this project we examined low regularity local well-posedness for generic quasilinear Schrödinger equations with small data. This improved, in the small data regime, the preceding results of Kenig, Ponce, and Vega as well as Kenig, Ponce, Rolvung, and Vega. In the setting of quadratic interactions, the (translation invariant) function spaces which were utilized incorporated an $l^1$ summability over cubes in order to account for Mizohata's integrability condition, which is a necessary condition for the $L^2$ well-posedness for the linearized equation. For cubic interactions, this integrability condition meshes better with the inherent $L^2$ nature of the Schrödinger equation, and such summability is not required. Thus we are able to prove small data well-posedness in $H^s$ spaces.

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。

↑