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arXiv 1306.5791math.AP
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一类KdV-type方程II的大数据局部适定性

Large data local well-posedness for a class of KdV-type equations II

Benjamin Harrop-Griffiths

摘要:

本文考虑方程\partial_t + \partial_x^3)u=F(u,u_x,u_{xx})的Cauchy问题,其中F是一个没有常数项或线性项,也没有二次uu_{xx}项的多项式.对于不含二次项的多项式非线性,Kenig-Ponce-Vega证明了H^s在大s时的局部适定性。本文证明了低正则性索伯列夫空间的局部适定性,并将结果推广到某些二次非线性情形。结果是基于空间和估计类似的Marzuola-梅特卡夫-Tataru准线性薛定谔方程。

英文摘要:

We consider the Cauchy problem for an equation of the form \partial_t+\partial_x^3)u=F(u,u_x,u_{xx}) where F is a polynomial with no constant or linear terms and no quadratic uu_{xx} term. For a polynomial nonlinearity with no quadratic terms, Kenig-Ponce-Vega proved local well-posedness in H^s for large s. In this paper we prove local well-posedness in low regularity Sobolev spaces and extend the result to certain quadratic nonlinearities. The result is based on spaces and estimates similar to those used by Marzuola-Metcalfe-Tataru for quasilinear Schrodinger equations.

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