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Maximal-function characterisations of real Hardy spaces
Statement
Assume Countable Choice. Let , and let with . Then there is , depending only on , and the fixed kernel , such that for every and every the following assertions are equivalent:
- ;
- for some (equivalently, for every );
- .
Here , are the maximal functions of Radial and nontangential maximal functions of a tempered distribution and is the grand maximal function of Grand maximal test class of order N and the grand maximal function. Moreover the extended quantities , and are finite exactly on the common set of satisfying 1-3, and on that set they are equivalent: with depending only on and finitely many Schwartz seminorms of together with quantitative nonvanishing data for near zero (as used in the deconvolution lemma). Consequently the space of The real Hardy space defined by a radial maximal function does not depend on the choice of admissible , and for each admissible the grand maximal function may be used to define the same space with an equivalent quasi-norm for every order ; for two admissible kernels the two radial definitions agree because both are equivalent to for every . The recorded admissible thresholds of the sources are for the nontangential class with derivatives through [DKKP], for the radial class with derivatives through [MSV, section 1, p. 16, for ], and [CUW], stated there for the grand maximal functions normalised by the test classes of those papers; the proof below uses an unspecified finite that is at least as large as the order thresholds consumed by the finitely many comparison estimates for the fixed kernel (the deconvolution constants of the comparison lemmas depend on the kernel, so the order threshold asserted here depends on as well as on and ), and the existence of such a finite threshold is what is asserted.
Facts & Assumptions
Given: Countable Choice, , , with , , and a fixed order .
Pointwise domination by the grand maximal function: and for every , provided is the order of the grand maximal function (The grand maximal function dominates every admissible radial and nontangential maximal function).
Tangential comparison: for and , (The tangential maximal function is controlled by the aperture-one nontangential maximal function in ).
Grand dominated by tangential: for every there are and with whenever (The grand maximal function is pointwise dominated by a tangential maximal function).
Good-set estimates: assertion 5 of Truncated maximal functions: finiteness, comparison estimates and the good-set bound uses the extended centered average of that item for general nonnegative Borel inputs. When and , the input belongs to , so and the standard maximal operator can be used. Assertions 1-4 of the same lemma provide the truncated functions and their finiteness, grand/tangential comparison, tangential/aperture-one comparison and good-set bound.
Hardy-Littlewood boundedness: for (The centered maximal operator is bounded on for ).
The maximal functions are Borel measurable, so all expressions are meaningful with values in (Measurability and lower semicontinuity of the smooth maximal functions).
: on each compact , Holder gives , and compact sets have finite measure because they are bounded (Holder's inequality for integrals, including the endpoint cases, Lebesgue measure is sigma-finite, and every metrically bounded subset of has finite outer measure).
If nonnegative measurable functions increase pointwise to , then their integrals increase to by the monotone convergence theorem (Monotone convergence for the integral).
Proof technique: a priori good-set argument, then removal of the a priori finiteness by truncation, then the pointwise domination for the converse.
Proof
A priori estimate. Assume and let , , so that and . Let and be the constants of [F3], let be the norm constant from [F2], and let be the powered Hardy-Littlewood constant from [F5] at . Put and , so that by [F2], [F3] for every . Let be the threshold of [F4, assertion 5]; fix and let be the constant of [F4, assertion 5] at this order. Set . On one has pointwise, hence . On , [F4, assertion 5] gives at every point at which is finite, hence almost everywhere. Since [F1] gives , we have ; [F7] gives its local integrability and hence on this input. Integrating, by [F5] with . Combining the two pieces, , so ; this is the a priori estimate, with a constant independent of at each fixed order .
Finiteness of when . Let be arbitrary with . Choose as in assertion 1 of [F4] for the fixed exponent of the theorem and then as in assertions 2-4 of [F4], where and are as above (note that may be much larger than the theorem's fixed ; it is used only to prove finiteness). With set , , , and with , the product of the constants in assertions 2 and 3 of [F4]. Assertion 1 of [F4] gives . On one has , so . On , assertion 4 of [F4] gives with . Since , [F7] gives on this input; integrating as in step 1.1 and using [F5] gives with independent of (but depending on the fixed and hence on ). Hence for every . Take for . Then the weights increase pointwise to and the ranges increase to . For each fixed witness , eventually and its weight tends to , so pointwise. By [F8], monotone convergence gives .
The implication 13 and the norm bound. Let satisfy 1. By step 2.1, , so the a priori estimate of step 1.1 applies at every order and gives with independent of , where is the constant from [F5] at ; then [F2], [F3] give for the same orders , since the estimates of steps 1.1 and 2.1 hold with the stated constants for every such . Thus 1 implies 3 for every , with the stated norm bound.
The remaining implications. If 3 holds, then [F1] gives and for every , so 3 implies 1 and 2 for every aperture, with the displayed bounds (the first inequality is pointwise since ). If 2 holds for some , then pointwise, so 2 implies 1. Hence all three assertions are equivalent, the quantities are finite exactly on the common set, and the displayed equivalence of extended norms holds with constants depending only on and the kernel data used in the deconvolution comparison and in . The last sentence about the kernel-independence of follows by applying the equivalence to two admissible kernels and a common order . This proves the theorem.
Depends on
- Radial and nontangential maximal functions of a tempered distribution
- Grand maximal test class of order N and the grand maximal function
- The real Hardy space $H^p$ defined by a radial maximal function
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Measurability and lower semicontinuity of the smooth maximal functions
- The grand maximal function dominates every admissible radial and nontangential maximal function
- The tangential maximal function is controlled by the aperture-one nontangential maximal function in $L^p$
- The grand maximal function is pointwise dominated by a tangential maximal function
- Truncated maximal functions: finiteness, comparison estimates and the good-set bound
- The centered maximal operator is bounded on $L^p(\mathbb{R}^n)$ for $1<p<\infty$
- Holder's inequality for integrals, including the endpoint cases
- Lebesgue measure is sigma-finite, and every metrically bounded subset of $\mathbb{R}^n$ has finite outer measure
- Monotone convergence for the integral
Used by
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Sources
- David Cruz-Uribe SFO, Li-An Daniel Wang, Variable Hardy Spaces, arXiv:1211.6505 (2012) (standard reference, not scraped)
- Marcin Bownik, Anisotropic Hardy Spaces and Wavelets, Memoirs of the American Mathematical Society 164 (2003), no. 781 (standard reference, not scraped)
- Shai Dekel, Gerard Kerkyacharian, George Kyriazis, Pencho Petrushev, A New Proof of the Atomic Decomposition of Hardy Spaces, Constructive Theory of Functions (Sozopol 2016), pp. 59-73 (standard reference, not scraped)
- Stefano Meda, Peter Sjogren, Maria Vallarino, Atomic decompositions and operators on Hardy spaces, Revista de la Union Matematica Argentina 50 (2009), no. 2, 15-22 (standard reference, not scraped)
- Li-An Daniel Wang, Multiplier Theorems on Anisotropic Hardy Spaces (PhD dissertation, University of Oregon, 2012) (standard reference, not scraped)