2005
DOI: 10.5565/publmat_49105_03
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Extrapolation and sharp norm estimates for classical operators on weighted Lebesgue spaces

Abstract: We obtain sharp weighted L p estimates in the Rubio de Francia extrapolation theorem in terms of the Ap characteristic constant of the weight. Precisely, if for a given 1 < r < ∞ the norm of a sublinear operator on L r (w) is bounded by a function of the Ar characteristic constant of the weight w, then for p > r it is bounded on L p (v) by the same increasing function of the Ap characteristic constant of v, and for p < r it is bounded on L p (v) by the same increasing function of the r−1 p−1 power of the Ap ch… Show more

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Cited by 100 publications
(110 citation statements)
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“…By the sharp form of Rubio de Francia's extrapolation theorem due to Dragičević, Grafakos, Pereyra and Petermichl [6], this implies the corresponding weighted L p bound,…”
Section: Introductionmentioning
confidence: 99%
“…By the sharp form of Rubio de Francia's extrapolation theorem due to Dragičević, Grafakos, Pereyra and Petermichl [6], this implies the corresponding weighted L p bound,…”
Section: Introductionmentioning
confidence: 99%
“…Consult also the works of Gundy and Wheeden [9], Dragičević et al [8] and Lerner [12,13] for related results. See also the book by Wilson [25] for an overview of weighted square function inequalities.…”
Section: Introductionmentioning
confidence: 99%
“…For 1 ≤ p < 2 the operator norm is of the order [w] 1/(p−1) Ap and this is optimal [DGPPet,Sec 4.1]. However for p > 2 the linear results obtained by extrapolation in [DGPPet] are not optimal.…”
Section: Discussionmentioning
confidence: 99%