For an analytic H1 space on the unit disk function, its fixed-aperture non-tangential maximal function obeys the displayed strong bound. First replace by , . The fact that modulus powers of holomorphic functions are subharmonic gives . Since a Poisson maximal function is dominated by the Hardy-Littlewood maximal function, the strong Hardy-Littlewood maximal inequality yields . Pointwise interior convergence and the Fatou lemma remove . Analyticity permits this endpoint estimate; general boundary data have only a weak maximal bound.
We prove sufficiency by a non-tangential maximal function and the layer cake representation. Write . First : three hyperbolic geodesic caps corresponding to arcs of normalized length , with equally spaced centers, cover the unit disc. This handles interior points and large arcs, not only a thin boundary strip.
Fix aperture two and set . The crucial H1 non-tangential maximal inequality on the disk is
Here is its endpoint proof. For let , which is holomorphic across the closed unit disc. Since modulus powers of holomorphic functions are subharmonic, Poisson comparison gives
The estimate that a Poisson maximal function is dominated by the Hardy-Littlewood maximal function yields . The strong Hardy-Littlewood maximal inequality now gives
For each interior point , hence . The Fatou lemma proves the maximal inequality. This uses a genuine maximal bound; the Hardy-Littlewood maximal function is not strongly bounded on .
For , the set is open, since each interior point witnessing this strict inequality has an open boundary shadow. Write its disjoint arc components as . If and , the arc centered at with angular half-width lies in , because there. Thus it lies in one component , and has angular projection in with . The geodesic-cap and Carleson-box comparison puts all such points in for a fixed enlargement factor whenever is small. For large , use . If or is the entire circle, that same total-mass estimate applies. Summing, without needing the enlarged caps to be disjoint, gives
The layer cake representation and the proved H1 non-tangential maximal inequality on the disk finish the argument:
Thus the two conditions are equivalent, with their least admissible constants comparable: and . This is the Carleson embedding theorem on the disk, proved at the analytic endpoint.
Write in angular coordinates on the unit circle. The centered Hardy-Littlewood maximal function is
where is the centered circular arc of angular radius , with giving the whole circle. The Hardy-Littlewood maximal inequality in this one-dimensional setting is the weak-type estimate
The precise constant is not important for differentiation, but we prove this one explicitly.
Let and choose a compact subset . For each point of , choose a centered arc whose average of exceeds . A finite subfamily covers . Order these arcs by decreasing length and retain an arc precisely when it is disjoint from the previously retained arcs. Every rejected arc meets a retained arc of at least its length and lies in the latter's triple, interpreted on the circle and truncated to the whole circle if necessary. If the retained disjoint arcs are , then
This is the interval version of the Wiener covering lemma. The superlevel set is measurable: the average at each fixed radius is continuous in the center, by translation continuity in , so is open. Inner regularity of Lebesgue measure now passes the compact-set bound to , proving the Hardy-Littlewood maximal inequality. The same finite-interval argument gives the line version for integrable functions on the real line.
To prove differentiation, first recall that continuous functions are dense in on the circle. Approximate an integrable function by simple functions; for each of their measurable sets, inner and outer regularity give a compact subset and an open superset with arbitrarily small measure difference. A continuous cutoff between these sets approximates the indicator in . Combining finitely many cutoffs proves the claimed density.
For a representative of finite almost everywhere, define its local absolute oscillation by
If is continuous and , the triangle inequality and continuity of give
Thus the Hardy-Littlewood maximal inequality and the elementary integral bound for a superlevel set yield, for every ,
Choose continuous with arbitrarily small. It follows that outside a null set, by using positive rational . In particular,
for almost every . This proves the requested Lebesgue differentiation theorem, including the stronger absolute-oscillation formulation, rather than assuming pointwise convergence of the approximating continuous functions.
For failure at a specified point, use coordinates and put . Let be one on the annuli for , and zero elsewhere, including at zero. This bounded measurable function is integrable. Since , the average over the centered interval satisfies
Indeed, the outermost annulus occupies all but the fraction of that interval, and has value one or zero according to parity. The even-radius subsequence tends to one and the odd-radius subsequence to zero, so no centered-average limit exists at . The normalization of cancels from these averages. This is how oscillating annuli obstruct differentiation at a point without contradicting almost-everywhere differentiation.
The layer cake representation with gives
For each , split
Since and the maximal operator is sublinear,
The weak Hardy-Littlewood maximal inequality therefore gives
Substitution into the distribution formula and another application of Tonelli theorem yield
Thus the Strong Lp bound for the Hardy-Littlewood maximal function holds with
Approximate in by continuous . The limsup local oscillation of is bounded by the maximal function of plus the vanishing oscillation of . The weak Hardy-Littlewood maximal inequality makes the exceptional set have measure at most ; let the approximation error tend to zero.
The centered Hardy-Littlewood maximal function is
The Hardy-Littlewood maximal inequality gives, for example,
This valid constant follows from the disjoint-interval covering argument: a compact subset of the superlevel set has a finite cover by intervals of average above ; select disjoint intervals whose triples cover it, bound their total length by , and use inner regularity. An optimal constant is not required.