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✓ 9 results · all verified · 6 also independently AI-judged
Every result on this page is machine-checked by a proof checker and read in full and owner-audited; the judge is an additional, independent cross-model AI review of the proofs. The 3 not AI-judged were verified by owner audit (typically over a confirmed judge false positive), not failures.

The Maximal Function and Lebesgue Differentiation — Examples

1 · Prerequisites

2 · Summary

These examples keep the design’s concrete leaves local to MT-17. The page computes the maximal function of the unit-interval indicator, shows its nonintegrable tail, exhibits a unit-mass spike with the weak-type scaling, records the class-level nature of Lebesgue points through 1Q, and shows an endpoint with density one half.

The remaining items sharpen the density and differentiation theorems: a compact positive-measure set can still miss part of every interval, Steinhaus drops out quickly from density points, no measurable set has density one half in every interval, and a bounded locally integrable function can still fail to differentiate on a singleton null set.

3 · Logical flowchart

4 · Definitions, theorems and proofs

ExampleConstruction: Literature-sourcedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-04Open item page →

The centered maximal function of 1[0,1] on R

Example

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)).

Let f=1[0,1] on R. Then the centered maximal function is Mf(x)={12(1−x),x≤0,1,0<x<1,12x,x≥1. In particular Mf(0)=Mf(1)=1/2 and Mf(x)∼(2∣x∣)−1 at infinity.

Facts & Assumptions

Given: The Axiom of Countable Choice and the function f=1[0,1] on R.

[L1]

The centered maximal function is the supremum of normalized averages of ∣f∣ over centered intervals. (The centered and uncentered Hardy-Littlewood maximal functions)

Verification

technique · direct
1.1L1givenalgebra

Let x>1, and let Ir=[x−r,x+r] with r>0. If r≤x−1, then [L1, given, algebra] Ir∩[0,1]=∅ and the average is 0. If x−1<r<x, then Ir∩[0,1]=[x−r,1], so the average is r−x+12r=12−x−12r, which increases with r. If r≥x, then Ir contains [0,1], so the average is 1/(2r), which decreases with r. The maximum is therefore attained at r=x, with value 1/(2x).

1.2L1givenchoosealgebra

If 0<x<1, choose r<min⁡{x,1−x}; then [x−r,x+r]⊆[0,1], so [L1, given, choose, algebra] the average equals 1. Since no average of an indicator can exceed 1, one has Mf(x)=1 on (0,1).

2.1step 1.1algebra

The same calculation with the reflected interval shows that for x<0 the [step 1.1, algebra] maximum is attained at r=1−x and equals 1/(2(1−x)). At the endpoints this gives Mf(0)=Mf(1)=1/2.

3.1step 1.1step 1.2step 2.1∎

Steps 1.1, 1.2, and 2.1 give the displayed formula.

CounterexampleConstruction: Literature-sourcedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-04Open item page →

The maximal function of 1[0,1] is not integrable

Statement refuted

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)).

The centered maximal function of 1[0,1] belongs to L1(R).

Facts & Assumptions

Given: The Axiom of Countable Choice and the function f=1[0,1] on R.

[L1]

The centered maximal function is Mf(x)=sup⁡r>012r∫x−rx+r∣f(y)∣ dy. (The centered and uncentered Hardy-Littlewood maximal functions)

Counterexample

technique · direct
1.1L1givenalgebra

Let x≥1 and take the centered interval [0,2x], which has centre x [L1, given, algebra] and contains [0,1]. Then [L1] gives Mf(x)≥12x∫011 dy=12x.

2.1step 1.1algebra

Therefore [step 1.1, algebra] ∫1RMf(x) dx≥12∫1Rdxx=12log⁡R(R>1). Letting R→∞ shows ∫1∞Mf(x) dx=+∞. Hence Mf∉L1(R).

3.1step 2.1∎

So the displayed claim is false.

ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-04Open item page →

A unit-mass spike has a large maximal superlevel set

Example

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)).

For ε>0, define fε:=ε−11[0,ε]. Then ∥fε∥1=1, and for every x≥ε, Mfε(x)≥12x. Consequently, for every 0<t≤(2ε)−1, λ({x∈R:Mfε(x)>t})≥12t−ε.

Facts & Assumptions

Given: The Axiom of Countable Choice, a real number ε>0, and the spike fε=ε−11[0,ε].

[L1]

The centered maximal operator is weak type (1,1). (The centered Hardy-Littlewood maximal operator is weak type (1,1))

Verification

technique · direct
1.1givenalgebra

One has [given, algebra] ∥fε∥1=∫0εε−1 dx=1.

1.2L1givenalgebra

If x≥ε, then the centered interval [0,2x] contains the [L1, given, algebra] support of fε, so Mfε(x)≥12x∫0εε−1 dy=12x.

2.1step 1.2algebra

If 0<t≤(2ε)−1 and ε≤x<1/(2t), then [step 1.2, algebra] step 1.2 gives Mfε(x)>t. Therefore [ε,1/(2t))⊆{Mfε>t}, so λ({Mfε>t})≥12t−ε.

3.1L1step 1.1step 2.1∎

This explicit family matches the weak-type t−1 scale from [L1] on a [L1, step 1.1, step 2.1] unit-L1 example.

ExampleConstruction: Literature-sourcedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-04Open item page →

The Lloc1 class of 1Q has every point as a Lebesgue point

Example

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)).

Let f=1Q on R. Then the Lloc1 class of f is the zero class, and its Lebesgue set is all of R.

Facts & Assumptions

Given: The Axiom of Countable Choice and the Dirichlet function f=1Q on R.

[L1]

The Lebesgue set of a class consists of the points where some representative has vanishing averaged oscillation. (Lebesgue points and the Lebesgue set of an Lloc1 class)

Verification

technique · direct
1.1L2given

The set Q is countable, so [L2] gives [L2, given] 1Q=0 almost everywhere. Thus the Lloc1 class of f is the same as the class of the zero function.

2.1L1step 1.1algebra∎

For the zero representative and every x∈R, [L1, step 1.1, algebra] 1λ(B(x,r))∫B(x,r)∣0−0∣ dλ=0(r>0). Therefore every point is a Lebesgue point of the zero representative, so by [L1] the Lebesgue set of the class is all of R.

ExampleConstruction: Literature-sourcedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-04Open item page →

An endpoint of an interval has density one half, not one

Example

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)).

For E=[0,1]⊆R, the endpoint 0 is not a density-one point of E; instead, Θ(E,0)=12.

Facts & Assumptions

Given: The Axiom of Countable Choice and the interval E=[0,1].

[L1]

Density is computed by Θ(E,0)=lim⁡r→0+λ(E∩(−r,r))λ((−r,r)) when the limit exists. (Density of a measurable set at a point)

Verification

technique · direct
1.1L2givenalgebra

For every 0<r≤1, [L2, given, algebra] E∩(−r,r)=[0,r), so [L2] gives λ(E∩(−r,r))λ((−r,r))=r2r=12.

2.1L1step 1.1∎

The ratio in step 1.1 is constant for all sufficiently small r, so [L1] [L1, step 1.1] gives Θ(E,0)=1/2. In particular 0 is not a density-one point of E.

ExampleConstruction: Literature-sourcedVerification: AI-generatedprecheck passaudited 2026-09-04Open item page →

A positive-measure compact set can miss part of every interval

Example

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)).

There exists a compact set K⊆[0,1] with positive Lebesgue measure such that every nonempty open interval in R contains a point outside K.

Facts & Assumptions

Given: The Axiom of Countable Choice and the unit interval [0,1].

[L1]

The rationals are countable. (Q is countably infinite)

[L2]

The geometric series satisfies ∑k=1∞2−k−2=14. (For ∣r∣<1, ∑k≥0rk=1/(1−r), and for ∣r∣≥1 the series diverges)

[L3]

Lebesgue measure is countably subadditive on measurable sets. (Finite and countable subadditivity of measures)

[L4]

A subset of R is compact if and only if it is closed and bounded. (A subset of R is compact if and only if it is closed and bounded)

Verification

technique · direct
1.1L2L3givenchooseconstructalgebra

Enumerate Q∩(0,1) as (qk)k≥1 using [L1]. For each [L1, given, choose, construct] k, choose an open interval Ik centred at qk of length below 2−k−2, and put U:=⋃k≥1Ik. The set U is open and dense in (0,1) because every nonempty open [L1, L2, L3, given, choose, construct, algebra] interval in (0,1) contains a rational point qk and hence meets Ik. Also [L3] and [L2] give λ(U)≤∑k=1∞λ(Ik)<∑k=1∞2−k−2=14.

2.1step 1.1algebra

Define [L4, L5, step 1.1, algebra] K:=[0,1]∖U. Then K is closed and bounded, hence compact by [L4]. By [L5] and step 1.1, λ(K)≥λ([0,1])−λ(U)>1−14=34, so K has positive measure. Let J be a nonempty open interval in R. If J is not [L4, L5, step 1.1, algebra] contained in [0,1], then J already contains a point outside K⊆[0,1]. If J⊆(0,1), then step 1.1 gives J∩U≠∅, so J contains a point outside K. Thus every nonempty open interval contains a point outside K.

3.1step 2.1∎

The compact set K therefore has positive measure while missing part of [step 2.1] every interval.

ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-09-04Open item page →

Steinhaus follows in two lines from the density theorem

Example

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)).

If E⊆Rn is Lebesgue measurable and λ(E)>0, then the difference set E−E:={x−y:x,y∈E} contains an open neighbourhood of 0.

Facts & Assumptions

Given: The Axiom of Countable Choice and a measurable set E⊆Rn with λ(E)>0.

[L1]

Almost every point of E is a density-one point of E. (Lebesgue density theorem)

Verification

technique · direct
1.1L1L3givenchoosealgebra

By [L1], choose a density-one point x∈E. Then there is r>0 such that [L1, L3, given, choose] λ(E∩B(x,r))>34λ(B(x,r)). Because [L3] makes the ball measure continuous in the radius, choose 0<δ<r with λ(B(x,r+δ)∖B(x,r−δ))<14λ(B(x,r)). If ∥h∥2<δ, then B(x,r−δ)⊆B(x+h,r)⊆B(x,r+δ), so B(x+h,r)△B(x,r)⊆B(x,r+δ)∖B(x,r−δ). Therefore λ(B(x+h,r)△B(x,r))<14λ(B(x,r)).

2.1L2step 1.1algebra

Fix ∥h∥2<δ. Translation invariance [L2] gives [L2, step 1.1, algebra] λ((E−h)∩B(x,r))=λ(E∩B(x+h,r))≥λ(E∩B(x,r))−λ(B(x+h,r)△B(x,r))>12λ(B(x,r)). Together with step 1.1, both E∩B(x,r) and (E−h)∩B(x,r) have measure greater than half of λ(B(x,r)), so they intersect. Choose z∈E∩(E−h). Then z∈E and z+h∈E, so h=(z+h)−z∈E−E.

3.1step 2.1∎

Every h with ∥h∥2<δ lies in E−E, so E−E contains the open [step 2.1] ball B(0,δ).

False statementConstruction: Literature-sourcedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-04Open item page →

FALSE: some measurable set has density one half in every interval

Statement

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)).

There is a Lebesgue measurable set E⊆R such that λ(E∩I)λ(I)=12 for every nondegenerate bounded interval I.

Facts & Assumptions

Given: The Axiom of Countable Choice, and assume there is a measurable set E⊆R with half-density in every nondegenerate bounded interval.

[L1]

Almost every point of a measurable set is a density-one point of that set. (Lebesgue density theorem)

Refutation

technique · direct
1.1L2givenalgebra

Applying the hypothesis to I=[0,1] and [L2], one gets [L2, given, algebra] λ(E∩[0,1])=12. So E has positive measure.

2.1L1step 1.1givenchoosecontradiction: density at xdischarge-contradiction∎

By [L1], almost every point of E is a density-one point of E. Choose [L1, step 1.1, given, choose, contradiction: density at x, discharge-contradiction] such a point x∈E. But the hypothesis applied to every interval (x−r,x+r) gives λ(E∩(x−r,x+r))2r=12(r>0), so the density of E at x is 1/2, not 1. This contradiction refutes the claim.

ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-09-04Open item page →

A locally integrable function can fail to differentiate on a null set

Example

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)).

Define f(x):=∑k=0∞1(2−2k−1, 2−2k)(x)(x∈R). Then f is bounded and locally integrable, but the averages Arf(0) do not converge as r→0+. Thus differentiation can fail on the null set {0}.

Facts & Assumptions

Given: The Axiom of Countable Choice and the function f above.

[L1]

Ball averages are the normalized interval averages in one dimension. (The average of a locally integrable function over a Euclidean ball)

[L2]

Lebesgue differentiation holds almost everywhere for locally integrable functions. (Lebesgue differentiation theorem on Rn)

Verification

technique · direct
1.1givenalgebra

The function f takes only the values 0 and 1, so it is measurable and [given, algebra] bounded by 1. Hence it is locally integrable on R.

1.2L1givenalgebra

For rm:=2−2m, the set on which f=1 inside (−rm,rm) is [L1, given, algebra] exactly the disjoint union ⋃k≥m(2−2k−1,2−2k), whose total length is ∑k≥m2−2k−1=2−2m−11−2−2=2−2m+13. Therefore Armf(0)=12rm∫−rmrmf(x) dx=13.

2.1L1step 1.2algebra

For sm:=2−2m−1, the set on which f=1 inside (−sm,sm) is [L1, step 1.2, algebra] exactly ⋃k≥m+1(2−2k−1,2−2k), whose total length is ∑k≥m+12−2k−1=2−2m−13. Hence Asmf(0)=12sm∫−smsmf(x) dx=16.

3.1L2step 1.2step 2.1∎

Steps 1.2 and 2.1 give two sequences of radii tending to 0 along which [L2, step 1.2, step 2.1] Arf(0) tends to different values. So Arf(0) has no limit as r→0+. This does not contradict [L2], because the exceptional set here is the singleton null set {0}.

5 · Examples, counterexamples and false statements

None yet.

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