These notes give the basic ingredients of the theory of weighted
Hardy spaces of tempered distribution on Rn and illustrate the
techniques used. The authors consider properties of weights in a
general setting; they derive mean value inequalities for wavelet
transforms and introduce halfspace techniques with, for example,
nontangential maximal functions and g-functions. This leads to
several equivalent definitions of the weighted Hardy space HPW.
Fourier multipliers and singular integral operators are applied to
the weighted Hardy spaces and complex interpolation is considered.
One tool often used here is the atomic decomposition. The methods
developed by the authors using the atomic decomposition in the
strictly convex case p>1 are of special interest.
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