2018
DOI: 10.1090/tran/7365
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Control of pseudodifferential operators by maximal functions via weighted inequalities

Abstract: Abstract. We establish general weighted L 2 inequalities for pseudodifferential operators associated to the Hörmander symbol classes S m ρ,δ . Such inequalities allow to control these operators by fractional "non-tangential" maximal functions, and subsume the optimal range of Lebesgue space bounds for pseudodifferential operators. As a corollary, several known Muckenhoupt type bounds are recovered, and new bounds for weights lying in the intersection of the Muckenhoupt and reverse Hölder classes are obtained. … Show more

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Cited by 5 publications
(16 citation statements)
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References 39 publications
(108 reference statements)
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“…Interestingly, while there are several authors who have studied such scaling as it applies to symbols (see Stein [15] for a more classical exposition; Beltran and Bennett [2] and Beltran [1] relate this kind of scaling to novel geometric maximal function inequalities), there do not appear to be any previous instances of a decomposition of this sort being applied to general phases Φ or in geometric settings as we have here. In Section 4 we will see that the decomposition (regarding V f as an analysis operator) is so efficient that it essentially diagonalizes (1)-at no point do we even need a T T * argument or to employ orthogonality of any of the various terms we encounter.…”
Section: A Customized Frequency Space Decompositionmentioning
confidence: 96%
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“…Interestingly, while there are several authors who have studied such scaling as it applies to symbols (see Stein [15] for a more classical exposition; Beltran and Bennett [2] and Beltran [1] relate this kind of scaling to novel geometric maximal function inequalities), there do not appear to be any previous instances of a decomposition of this sort being applied to general phases Φ or in geometric settings as we have here. In Section 4 we will see that the decomposition (regarding V f as an analysis operator) is so efficient that it essentially diagonalizes (1)-at no point do we even need a T T * argument or to employ orthogonality of any of the various terms we encounter.…”
Section: A Customized Frequency Space Decompositionmentioning
confidence: 96%
“…where b 0 and b 1 are the parameters associated to the boxes B 0 and B 1 in the definition (1). Our theorem is as follows:…”
Section: Formulation and Introductionmentioning
confidence: 95%
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