2018
DOI: 10.5565/publmat6211804
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Weighted square function inequalities

Abstract: For an integrable function f on [0, 1) d , let S(f ) and M f denote the corresponding dyadic square function and the dyadic maximal function of f , respectively. The paper contains the proofs of the following statements.(. The exponent 1/2 is shown to be the best possible.(ii) For any p > 1, there are no constants cp, αp depending only on p such that for all dyadic Ap weights

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Cited by 15 publications
(3 citation statements)
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References 25 publications
(24 reference statements)
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“…for A 1 weights w. This improves the main result of [15], where a similar estimate (with √ 5 in place of 2) was proved for dyadic martingales. In view of [1, Theorem 1.3], it seems unlikely that the A 1 characteristic in (1.5) can be replaced by a function of any A p characteristic with p > 1, although for dyadic martingales even the A ∞ characteristic suffices [10, Theorem 2].…”
Section: Consequences Of the Weighted Estimatesupporting
confidence: 80%
“…for A 1 weights w. This improves the main result of [15], where a similar estimate (with √ 5 in place of 2) was proved for dyadic martingales. In view of [1, Theorem 1.3], it seems unlikely that the A 1 characteristic in (1.5) can be replaced by a function of any A p characteristic with p > 1, although for dyadic martingales even the A ∞ characteristic suffices [10, Theorem 2].…”
Section: Consequences Of the Weighted Estimatesupporting
confidence: 80%
“…for A 1 weights w. This improves the main result of [Osę18], where a similar estimate (with √ 5 in place of 2) was proved for dyadic martingales. In view of [BO21, Theorem 1.3], it seems unlikely that the A 1 characteristic in (1.5) can be replaced by a function of any A p characteristic with p > 1, although for dyadic martingales even the A ∞ characteristic suffices [GW74,Theorem 2].…”
Section: Introductionsupporting
confidence: 80%
“…We will exploit the concavity of B in appropriate directions; to this end, we need the following auxiliary geometrical fact, taken from [24]. We provide an easy proof for the sake of completeness.…”
Section: Necessity Of the θ-Regularity Conditionmentioning
confidence: 99%