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Cotlar's inequality for maximal truncations
Statement
Assume Countable Choice (The Axiom of Countable Choice ()). Let satisfy the pointwise size bound , the -Hölder smoothness bound for with , and the cancellation bound . Let be a principal-value distribution extending (Calderón–Zygmund kernels and their associated operators) and let be the convolution operator with , bounded on . Then for every and almost every , where is the centered Hardy–Littlewood maximal operator of The centered and uncentered Hardy-Littlewood maximal functions and is the maximal truncated operator of Maximal truncated singular integrals.
Facts & Assumptions
Given: Countable Choice; ; ; a kernel with the size, Hölder and cancellation bounds; a principal-value distribution extending ; the convolution operator with , bounded on ; a Schwartz function ; a point ; a scale ; the canonical dimension-dependent nonnegative radially nonincreasing with and , and its mollifiers (The mollifier family generated by a unit-mass smooth bump; the approximate-identity properties are recorded in A unit-mass smooth bump generates an approximate identity).
is absolutely convergent and (Maximal truncated singular integrals).
For and , defines a smooth function of polynomial growth, and is the convolution of the tempered distribution with the Schwartz function (Convolution of a tempered distribution with a schwartz function, Tempered convolution is smooth with polynomial growth).
A principal-value distribution for has a sequence such that it satisfies for every (Calderón–Zygmund kernels and their associated operators).
If is measurable, radially nonincreasing and integrable and , then for every (Radially decreasing kernels are dominated by the maximal function).
Convolution of functions on is , whenever the integral converges absolutely (Convolution of two functions on ); on -finite products a nonnegative product-measurable integrand may be integrated in either order (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product); the Schwartz conventions are those of Schwartz space and its seminorms.
Exponentials dominate every fixed polynomial at positive infinity, and Euclidean balls of positive radius have positive finite Lebesgue measure. (The exponential dominates every fixed nonnegative integer power at , Euclidean balls have positive finite Lebesgue measure)
Proof
Fix the auxiliary bump once as a function of dimension only: let for and otherwise, put and with . The derivatives of on have the form , with ; [F6] makes each derivative and its difference quotient tend to zero at , proving smoothness across that point. Thus is smooth, supported in the closed radius- ball, nonnegative and radially nonincreasing since . Its mass is finite by boundedness and compact support, and positive since it is bounded below by on the radius- ball, which has positive measure by [F6]. This gives the required unit-mass bump with support inside . All its derivative bounds and depend only on . For fixed put and . By [F2,F3], is smooth and equals the principal-value limit . This need not be an absolutely convergent integral near . If , the support condition implies , so in that region the same formula is an ordinary absolutely convergent integral. Near the origin retain the principal-value limit and use the cancellation estimate in the next step.
Case . Write along for all sufficiently large such that , with the three pieces obtained by inserting and splitting at : , , and ; the three pieces are absolutely convergent and their sum is the truncation . Here because on the domain; by the mean value theorem, the bound and polar coordinates of the punctured ball; and by the cancellation bound after the substitution . Finally . Hence , the last inequality because gives .
Case of the error bound. Since is supported in , for one has on the support, so and, substituting in the formula of step 1.1, whence the Hölder bound gives .
The convolution identity is . Indeed, by the bounds in steps 1.2 and 2.1, is integrable and its convolution with converges absolutely; also converges absolutely by the size bound and Schwartz decay. For the remaining term use the distribution pairing rather than interchange nonabsolute kernel integrals. The compactly supported integral converges in every Schwartz seminorm: all derivatives of decay rapidly, uniformly over in the fixed compact support. Continuity of the tempered distribution therefore permits its pairing to pass through that integral. This gives . Applying the same argument to gives : its Schwartz seminorms are bounded by integrals of , finite for every . Hence , proving the identity.
Steps 2.1 and 1.2 together show that for every and every , where , , and is nonnegative, radially nonincreasing and integrable; note .
First term bound: , using that is radially nonincreasing with and applying the domination lemma [F4] with (a smooth function of polynomial growth, hence locally integrable).
Second term bound: by step 3.2 and the domination lemma [F4] applied to , which is radially nonincreasing, integrable with .
For every and every , steps 3.1, 4.1 and 4.2 give ; taking the supremum over and using [F1] yields the asserted inequality with redefined to absorb , in particular for almost every .
Depends on
- The exponential dominates every fixed nonnegative integer power at $+\infty$
- Euclidean balls have positive finite Lebesgue measure
- Calderón–Zygmund kernels and their associated operators
- The centered and uncentered Hardy-Littlewood maximal functions
- Convolution of a tempered distribution with a schwartz function
- Convolution of two functions on $\mathbb{R}^n$
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Maximal truncated singular integrals
- The mollifier family generated by a unit-mass smooth bump
- Schwartz space and its seminorms
- Radially decreasing kernels are dominated by the maximal function
- A unit-mass smooth bump generates an $L^1$ approximate identity
- Tempered convolution is smooth with polynomial growth
- Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
Used by
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Sources
- Loukas Grafakos, Classical Fourier Analysis, third edition (standard reference, not scraped)
- Mark Williams, Notes on Harmonic Analysis (standard reference, not scraped)