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arXiv math/0310346math.CA
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平面上方向希尔伯特变换的极大值定理

Maximal Theorems for the Directional Hilbert Transform on the Plane

Michael T Lacey, Xiaochun Li

摘要:

对于平面上的Schwartz函数$f$和非零$v\in\ZR^2$,将$f$在方向$v$上的希尔伯特变换定义为$$ H_vf(x)=\text{p.v.}\int_\ZR f(x-vy) \frac{dy}y $$。令$ζ$是在环$1\le| ξ|\le2$中具有频率支持的Schwartz函数。证明了极大算子$$ \sup_{\abs v=1}\abs{H_vζ* f} $$将$L^2$映射到弱$L^2$,并且对于$p>2$,将$L^p$映射到$L^p$. $L^2$估计值非常精确。该方法的证明是基于技术有关的逐点收敛的傅立叶级数,特别是最近的证明莱西和Thiele。

英文摘要:

For a Schwartz function $f$ on the plane and a non-zero $v\in\ZR^2$ define the Hilbert transform of $f$ in the direction $v$ to be $$ H_vf(x)=\text{p.v.}\int_\ZR f(x-vy) \frac{dy}y $$ Let $ζ$ be a Schwartz function with frequency support in the annulus $1\le| ξ|\le2$. We prove that the maximal operator $$ \sup_{\abs v=1}\abs{H_vζ* f} $$ maps $L^2$ into weak $L^2$, and $L^p$ into $L^p$ for $p>2$. The $L^2$ estimate is sharp. The method of proof is based upon techniques related to the pointwise convergence of Fourier series, especially the recent proof given by Lacey and Thiele.

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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