Abstract
We explore the relationships and differences between the “standard” dyadic square function S(f) and a pointwise smaller square function S b (f) due to Stephen Buckley. In dimension one, S(f)=S b (f), but in higher dimensions, S b (f) can vanish on a cube in which S(f) is everywhere positive, and uniform boundedness of S b (f) does not imply the same of S(f). However, uniform boundedness of S b (f) implies local exponential-square integrability of both S(f) and f. The second implication is surprising because the result of [2] requires S(f)∈L ∞ to infer that f is in the local exponential L 2 class.
AMS Subject Classification (2000): 42B25.
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References
Buckley, S.M.: Summation conditions on weights. Michigan Math. Journal 40, 153–170 (1993)
Chang, S.Y.A., Wilson, J.M., Wolff, T.H.: Some weighted norm inequalities concerning the Schroedinger operators. Comm. Math. Helv. 60, 217–246 (1985)
Chanillo, S., Wheeden, R.L.: Some weighted norm inequalities for the area integral. Indiana U. Math. Jour. 36, 277–294 (1987)
Stein, E.M.: Singular Integrals and Differentiability Properties of Functions. Princeton University Press, Princeton (1970)
Wilson, M.: Weighted Littlewood–Paley theory and exponential-square integrability. Springer Lecture Notes in Mathematics, vol. 1924. Springer, New York (2007)
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Nazarov, F., Wilson, M. (2012). The Buckley Dyadic Square Function. In: Bilyk, D., De Carli, L., Petukhov, A., Stokolos, A., Wick, B. (eds) Recent Advances in Harmonic Analysis and Applications. Springer Proceedings in Mathematics & Statistics, vol 25. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4565-4_23
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DOI: https://doi.org/10.1007/978-1-4614-4565-4_23
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