Vector ₂ weights and a Hardy-Littlewood maximal function
Vector ₂ weights and a Hardy-Littlewood maximal function
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矢量 2 权重和 Hardy-Littlewood 极大值函数
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发表时间:
2001
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通讯作者:
M. Goldberg
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作者:
M. Christ;M. Goldberg
An analogue of the Hardy-Littlewood maximal function is introduced, for functions taking values in finite-dimensional Hilbert spaces. It is shown to be L2 bounded with respect to weights in the class A2 of Treil, thereby extending a theorem of Muckenhoupt from the scalar to the vector case. A basic chapter of the subject of singular integral operators is the weighted norm theory, which provides a necessary and sufficient condition on a nonnegative function w for such operators, and for the Hardy-Littlewood maximal function M , to be bounded in L with respect to the measure w(x) dx. See [3], [6], [12]. More recently, aspects of this theory have been extended first by Treil and Volberg [17, 18], then by other authors, to functions taking values in finite-dimensional Hilbert spaces, with weights taking values in the corresponding spaces of Hermitian forms. These extensions have relied on new ideas, quite different from those employed in the scalar case by earlier authors, and have shed new light on the scalar theory. Nonetheless, some aspects of the scalar theory had apparently not been successfully generalized, including M itself. Indeed, doubts have been expressed [20, 17] as to whether there could exist any useful analogue of M . In this note we introduce a vector analogue of the Hardy-Littlewood maximal function, and prove its boundedness, in the simplest case, p = 2. In doing so, we seek firstly, to clarify the relationships between the new vector theory, and the more familiar scalar case, and secondly, to open up an alternative approach to the subject, which might lead to vector analogues of other features of the scalar theory. The second author [5] has carried this program further by demonstrating that the analogue of our theorem holds for all 1 < p < ∞, and that the boundedness of singular integral operators on L(R,H, w) can be deduced from our theorem, in the spirit of [3]. When specialized to the scalar case, our analysis differs from that in [3] in that we study the operator f 7→ w1/2M(w−1/2f) on unweighted L, rather than M on w–weighted L. Although the direct analysis in this conjugated framework is slightly more intricate than [3], its generalization from the scalar to the vector setting is transparent. Received by the editors June 22, 2000. 2000 Mathematics Subject Classification. Primary 42B25. The first author was supported in part by NSF grant DMS-9970660. He thanks the staff of the Bamboo Garden hotel in Shenzhen, PRC, for the hospitable atmosphere in which a portion of this work was done. The second author was supported by an NSF graduate fellowship. c ©2001 American Mathematical Society 1995 1996 MICHAEL CHRIST AND MICHAEL GOLDBERG 1. A Maximal Operator Let H be a separable Hilbert space, possibly of infinite dimension. Denote by M the space of all nonnegative Hermitian quadratic forms on H that are bounded with respect to the norm of H. The same symbol ‖ · ‖ will denote the norm either of an element of H, or of an element of M, considered as a linear operator from H to H. If w : R 7→ M is measurable and locally integrable in the sense that the function x 7→ ‖w(x)‖ is locally integrable, define L(R,H, w(x) dx) to be the Banach space of all equivalence classes of measurable functions f : R 7→ H for which ∫ Rn〈w(x)f(x), f(x)〉 p/2 dx is finite. To simplify notation we will systematically write gE = 1 |E| ∫ E g, where E ⊂ R, |E| denotes the Lebesgue measure of E, g takes values in R,H, or M, and the integral is taken with respect to Lebesgue measure. For v ∈ M or R and r ∈ R, the notation v E means (vE) . A2 = A2(R,H) is by definition the class of all w : R 7→ M such that w,w−1 are locally integrable and there exists C <∞ such that ‖w Q (w−1) 1/2 Q ‖ ≤ C for every cube Q ⊂ R. (1.1) The smallest constant C satisfying this inequality will be called the A2 “norm” of w. Treil and Volberg [17] have proved that if H has finite dimension, then the Hilbert transform H maps L(R,H, w(x) dx) boundedly to itself, if and only if w ∈ A2. When H has finite dimension, (1.1) is equivalent to