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引用次数: 3
摘要
本文的主要目的是建立Baernstein和Sawyer[1]关于单参数Hardy空间H p (R n)上傅里叶乘子有界性定理的双参数版本,它改进了Calder´on和Torchinsky[1]先前的结果。更pre-cisely,我们证明了有界性bi-parameter傅里叶乘数运营商的勒贝格空间L p (R n 1×R n 2) (1 < p <∞)和bi-parameter哈代空间H p (R n 1×R n 2) (0 < p≤1)优化规律的乘数是bi-parameter Besov空间B (n 12日22)2、1 (R n 1×R n 2)和B(1,年代2)2,问(R n 1×R n 2)。Besov正则性假设明显弱于Sobolev正则性假设。因此,我们的结果锐化了已知的双参数傅里叶乘子的H¨ormander乘子定理,使用Sobolev正则性,就像Baernstein和Sawyer改进了Calder ' on和Torchinsky的结果一样。我们的方法不同于Baernstein和Sawyer在单参数设置中使用的方法。我们利用双参数littlewood - paly - stein理论和双参数Hardy空间hp (rn1 × rn2) (0 < p≤1)的原子分解来建立我们的主要结果(定理1.6)。此外,在我们的情况下,双参数的性质涉及到更多的微妙之处,其中原子被支持在任意开集而不是矩形上。
Hörmander Fourier multiplier theorems with optimal regularity in bi-parameter Besov spaces
The main aim of this paper to establish a bi-parameter version of a theorem of Baernstein and Sawyer [1] on boundedness of Fourier multipliers on one-parameter Hardy spaces H p ( R n ) which improves an earlier result of Calder´on and Torchinsky [2]. More pre-cisely, we prove the boundedness of the bi-parameter Fourier multiplier operators on the Lebesgue spaces L p ( R n 1 × R n 2 ) (1 < p < ∞ ) and bi-parameter Hardy spaces H p ( R n 1 × R n 2 ) (0 < p ≤ 1) with optimal regularity for the multiplier being in the bi-parameter Besov spaces B ( n 12 , n 22 ) 2 , 1 ( R n 1 × R n 2 ) and B ( s 1 ,s 2 ) 2 ,q ( R n 1 × R n 2 ). The Besov regularity assumption is clearly weaker than the assumption of the Sobolev regularity. Thus our results sharpen the known H¨ormander multiplier theorem for the bi-parameter Fourier multipliers using the Sobolev regularity in the same spirit as Baernstein and Sawyer improved the result of Calder´on and Torchinsky. Our method is differential from the one used by Baernstein and Sawyer in the one-parameter setting. We employ the bi-parameter Littlewood-Paley-Stein theory and atomic decomposition for the bi-parameter Hardy spaces H p ( R n 1 × R n 2 ) (0 < p ≤ 1) to establish our main result (Theorem 1.6). Moreover, the bi-parameter nature involves much more subtlety in our situation where atoms are supported on arbitrary open sets instead of rectangles.
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