How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Fatou limits for Poisson extensions of L1 boundary data
Statement
Assume countable choice. If , then for -almost every one has as within every fixed nontangential region , . The assertion uses an almost-everywhere representative of and makes no claim about arbitrary tangential paths.
Facts & Assumptions
Given: Countable choice, a function , and the nontangential regions of [L1].
The region , the nontangential maximal function , the circle maximal function and the definition are as in the two definitions cited; the regions increase with the aperture, so verifying a nontangential limit for every integer aperture verifies it for every (The circle maximal function and nontangential approach regions, The Poisson integral of a finite complex boundary measure).
Weak type: for every and (The circle maximal function is weak type one one for finite measures).
Nontangential maximal bound: for every finite complex Borel measure , every and every (Poisson nontangential maximal function is controlled by circle maximal averages).
For the Poisson integral is complex harmonic, hence continuous on ; for continuous the radial functions satisfy (Poisson extension is an Lp contraction and converges in finite Lp, The Poisson kernel is a boundary approximate identity).
The kernel satisfies , , and as for every (The Poisson kernel is positive, has total mass one, and concentrates at a boundary point, The Poisson kernel on the unit disc, The one-dimensional torus and its normalized Haar integral).
Continuous complex functions on are dense in (Continuous functions are dense in of finite tori and of bounded intervals).
The set is countable and dense in ; every nonempty open subset of therefore contains a point of it ( is a countable dense subset of , and rational open boxes form a countable basis).
Chebyshev's inequality: for and (Chebyshev-Markov inequality for the integral).
A countable union of measurable -null sets is -null (Finite and countable subadditivity of measures).
Proof
Continuous data converge in every cone. Let , and , and let ; choose with for . For with and one has because , so for every the triangle inequality gives , using and the cone condition. Hence, by [L5] and the unit mass of the kernel, and the last supremum tends to as ; since inside forces , this is less than for close enough to . Thus along , and in particular the cone limsup is for every integer .
The cone limsup is Borel measurable. Fix an integer and let , countable and dense in by [L7]. For put . For fixed the summand is the product of the constant restricted to the Borel set ; a countable supremum of Borel measurable functions is Borel measurable, so every is Borel measurable and so is . Moreover, since is continuous on by [L4] and is dense, the supremum over the points of in the open set equals the supremum over all of : every point of is a limit of points of . Therefore is exactly the cone limsup, and it is Borel measurable.
Pointwise error bound. Let and let be an integer. By step 1.1, for every , and limsup subadditivity gives where the middle inequality uses and the last one is [L3] with aperture and measure , together with and from [L1].
Small measure of the bad sets. Fix an integer and . If a point satisfies and , then step 2.1 gives ; hence By [L2] and [L8], applied to the function , the first set has measure at most and the second at most , so for every continuous . Given , [L6] supplies a continuous with ; hence for every , and consequently .
The exceptional set is null. For each integer , the set is a countable union of Borel sets of -measure zero by steps 1.2 and 3.1, hence is -null by [L9]; the union over the countably many integers is then -null as well.
Conclusion. Let , so that the complement of has full measure. Then for every integer : for every there is with for all with . Given , choose an integer ; since by [L1], the same witnesses as within . Thus the nontangential limit exists and equals for every outside the null set . If almost everywhere is another representative, then for the corresponding cone limsups, so the bad set for is contained in , and the latter is a countable union of null sets by [L8] and [L9]; hence the assertion is independent of the representative.
Depends on
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- The circle maximal function and nontangential approach regions
- The Poisson integral of a finite complex boundary measure
- The Poisson kernel on the unit disc
- The one-dimensional torus and its normalized Haar integral
- The circle maximal function is weak type one one for finite measures
- Continuous functions are dense in $L^p$ of finite tori and of bounded intervals
- The Poisson kernel is a boundary approximate identity
- The Poisson kernel is positive, has total mass one, and concentrates at a boundary point
- Chebyshev-Markov inequality for the integral
- Finite and countable subadditivity of measures
- Poisson extension is an Lp contraction and converges in finite Lp
- Poisson nontangential maximal function is controlled by circle maximal averages
- $\mathbb{Q}^n$ is a countable dense subset of $\mathbb{R}^n$, and rational open boxes form a countable basis
Used by
Dependency tree · two levels
110 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Axler, Bourdon and Ramey, Harmonic Function Theory, second edition, Chapter 6 (standard reference, not scraped)
- Herbert Koch, Notes for Harmonic and Real Analysis (University of Bonn, 2014-15), Chapter 3 (standard reference, not scraped)