Solution

ID: past-exam-of-the-mathematics-course-of-the-university-of-cambridge/2013/iii/paper-7/3/solution

The relevant version of Wiener covering lemma is the finite ball selection lemma: from a finite collection of open Euclidean balls one can select pairwise disjoint balls such that the original union is contained in , where has the same centre and three times the radius. To prove it, repeatedly retain a largest-radius remaining ball and discard every ball meeting it. If a discarded ball has radius and meets a retained ball of radius , every point of the former is at distance less than from the latter's centre. This proves the containment and, by scaling Lebesgue measure,
This is a covering result; no Fourier-algebra version of Wiener's lemma is involved.
We use it for a disjoint ball decomposition modulo null sets of . The empty set needs only the empty family. Otherwise put . For an open residual set of positive finite measure, inner regularity of Lebesgue measure supplies a compact with . Cover by finitely many open balls whose closures lie in , and use the Wiener covering lemma to select disjoint balls. Their total measure is at least . Remove their closures to obtain the open residual set . Ball boundaries are null sets, so
All retained balls, including those from different stages, are pairwise disjoint and contained in . They form a countable family. The uncovered set is contained in together with their countably many boundaries, and both have measure zero. Enumerating the retained balls gives
Next consider the uncentered maximal function of a finite measure. For every real , its strict superlevel set is
Indeed, membership in the ball is exactly the strict condition in the supremum. This union is open, proving that is lower semicontinuous as an extended nonnegative function; it may take the value infinity.
For , take a compact subset of this superlevel set and choose a finite cover by balls satisfying the displayed density inequality. The Wiener covering lemma selects disjoint balls whose triples cover . Since is a probability measure,
Take the supremum over compact using inner regularity of Lebesgue measure. This works even if the open superlevel set was initially unbounded, and proves the uncentered maximal weak-type inequality
For a finite positive measure of mass , scaling gives instead.
One important use is the Lebesgue differentiation theorem. For , approximate it in by a compactly supported continuous , and set . The limiting mean oscillation of at is at most , since that of vanishes by continuity. The preceding weak-type estimate and the elementary integral bound on give
Let the approximation error tend to zero and then take countably many . The local averages of converge to almost everywhere. Localizing extends this to locally integrable functions. Thus the maximal estimate turns norm approximation by continuous functions into almost-everywhere information about local averages.

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