As a Corollary to the main result of the paper, we give a new proof of the inequalitywhere T is either the Hilbert transform ( Amer J Math 129 (5):1355-1375, 2007), a Riesz transform (Proc Amer Math Soc 136(4):1237-1249, 2008), or the Beurling operator (Duke Math J 112(2):281-305, 2002). The weight w is non-negative, and the linear growth in the A 2 characteristic on the right is sharp. Prior proofs relied strongly on Haar shift operators (CR Acad Sci Paris Sér I Math 330(6):455-460, 2000) and Bellman function techniques. The new proof uses Haar shifts, and then uses an elegant 'two weight T 1 theorem' of Nazarov-Treil-Volberg (Math Res Lett 15(3):583-597, 2008) to immediately identify relevant Carleson measure estimates, which are in turn verified using an appropriate corona decomposition of the weight w.
Abstract. We provide a counterexample to the Sarason Conjecture for the Bergman space and present a characterisation of bounded Toeplitz products on the Bergman space in terms of test functions by means of a dyadic model approach. We also present some results about two-weighted estimates for the Bergman projection. Finally, we introduce the class B ∞ and give sharp estimates for the one-weighted Bergman projection.
We disprove the following a priori estimate for the Hilbert transform H and the Hardy Littlewood maximal operator M :This is a sequel to paper [5] by the first author, which shows the existence of a Haar multiplier operator for which the inequality holds.
We prove sharp estimates for the Bergman projection in weighted Bergman spaces in terms of the Békollé constant. Our main tools are a dyadic model dominating the operator and an adaptation of a method of Cruz-Uribe, Martell and Pérez.2010 Mathematics Subject Classification. Primary: 47B38, 30H20 Secondary: 42C40, 42A61,42A50 .
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.