Two-weight estimates for sparse square functions and the separated bump conjecture

S. Kakaroumpas
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Abstract

We show that two-weight $L^2$ bounds for sparse square functions, uniformly with respect to the sparseness constant of the underlying sparse family, and in both directions, do not imply a two-weight $L^2$ bound for the Hilbert transform. We present an explicit example, making use of the construction due to Reguera--Thiele from [18]. At the same time, we show that such two-weight bounds for sparse square functions do not imply both separated Orlicz bump conditions of the involved weights for $p=2$ (and for Young functions satisfying an appropriate integrability condition). We rely on the domination of $L\log L$ bumps by Orlicz bumps (for Young functions satisfying an appropriate integrability condition) observed by Treil--Volberg in [20].
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稀疏平方函数的二权估计和分离凹凸猜想
我们证明了稀疏平方函数的二权$L^2$界,一致地关于底层稀疏族的稀疏常数,在两个方向上,并不意味着希尔伯特变换的二权$L^2$界。我们给出一个明确的例子,利用[18]中的Reguera- Thiele的结构。同时,我们证明了稀疏平方函数的这种双权限并不意味着对于p=2$(以及对于满足适当可积条件的Young函数)所涉及的权值的两个分离的Orlicz凹凸条件。我们依靠Treil—Volberg在[20]中观察到的Orlicz凸点(对于满足适当可积条件的Young函数)对$L\log L$凸点的支配。
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