66
Chapter 4: Transference Couples and Weighted Maximal Estimates
We close the discussion with some observations about the relationship
between the existing literature and our results in this section. Theorem 4.22
constitutes a weighted generalization of the unweighted result in [2, Theorem
(1.1)]; that is, Theorem 4.22 essentially reduces to [2, Theorem (1.1)] when
w E Wp is specialized to be the function identically one on R. In the special
case of Theorem 4.20 where w = 1, %F = X(_1/2,1/2), and {k3},>1 is the
Dirichlet kernel for T, we have the unweighted Carleson-Hunt Theorem for
LI(R), 1 < p < oo, which was shown by other methods in [14]. The situation
regarding the weighted Carleson-Hunt Theorem in the setting of R is more
complicated. It is known in the literature that the demonstration in [12]
of the weighted Carleson-Hunt Theorem for T can be adapted to provide a
weighted Carleson-Hunt Theorem for L1(w), w E Ap(R), 1 < p < oo (see the
comments in [10, p. 466]). Theorem 4.20 falls short of this much generality,
since it only provides the weighted Carleson-Hunt Theorem for L1(w) when
wEWW.
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