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✓ 8 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 2 not AI-judged were verified by owner audit (typically over a confirmed judge false positive), not failures.

Modes of Convergence Egorov and Lusin: Examples and Counterexamples

1 · Prerequisites

2 · Summary

The companion page carries the witnesses that make the implication diagram on the main page concrete. The typewriter sequence separates convergence in measure and in L1 from pointwise almost-everywhere convergence; the translated unit intervals show exactly where finite measure enters; the spike family separates convergence in measure from convergence in L1; and the Dirichlet-function and disjoint-spike examples keep the Lusin and uniform integrability traps visible instead of leaving them as prose.

3 · Logical flowchart

4 · Definitions, theorems and proofs

None yet.

5 · Examples, counterexamples and false statements

ExampleConstruction: Literature-sourcedVerification: AI-generatedprecheck passaudited 2026-08-28Open item page →

The typewriter sequence converges in measure and in L^1 but nowhere pointwise

Example

On [0,1] with Lebesgue measure, define f0:=0,f2k+j:=χIk,jfor k≥0, 0≤j<2k, where Ik,j=[j2−k,(j+1)2−k) for j<2k−1 and Ik,2k−1=[1−2−k,1]. Then:

  1. fn→0 in measure.
  2. fn→0 in L1([0,1]).
  3. For every x∈[0,1], the sequence (fn(x)) does not converge.

So the typewriter sequence separates convergence in measure and in L1 from almost-everywhere convergence.

Facts & Assumptions

Given: Lebesgue measure on [0,1] and the typewriter sequence (fn) of the Example, including its initial value f0=0.

[L1]

Convergence in measure means that for every real ε>0, μ({∣fn−f∣>ε})→0. (Convergence in measure)

[L2]

Convergence in L1(μ) means ∫∣fn−f∣ dμ→0. (Convergence in L^1(mu))

[L3]

Almost-everywhere convergence means pointwise convergence off a measurable null set. (Convergence almost everywhere relative to a measure)

Verification

technique · direct
1.1givenL2algebra

If 2k≤n<2k+1, then fn is the indicator of a dyadic interval of length 2−k, so ∫01∣fn∣ dλ=2−k.

1.2given

Fix x∈[0,1]. In each generation k≥1 there is exactly one interval Ik,jk containing x, so f2k+jk(x)=1. The same generation also contains intervals missing x, hence infinitely many indices n with fn(x)=0. So (fn(x)) takes the values 0 and 1 infinitely often and therefore does not converge.

2.1step 1.1L2

Since 2k≤n<2k+1 forces k→∞ as n→∞, step 1.1 gives ∫01∣fn∣ dλ→0. Therefore fn→0 in L1([0,1]) by [L2].

2.2step 1.1L1

Fix ε∈(0,1). When 2k≤n<2k+1, the set {∣fn−0∣>ε} is exactly the support interval of fn, so it has measure 2−k. Thus these bad-set measures tend to 0, and [L1] gives fn→0 in measure.

3.1step 1.2step 2.1step 2.2L3∎

Step 2.2 proves convergence in measure, step 2.1 proves convergence in L1, and step 1.2 shows that [L3] fails at every point.

ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-08-28Open item page →

The leftmost dyadic intervals give an explicit almost-everywhere Riesz subsequence

Example

For the typewriter sequence of The typewriter sequence converges in measure and in L^1 but nowhere pointwise, take the subsequence g0:=f1=χ[0,1],gk:=f2k=χ[0,2−k)(k≥1).

Then gk→0 on (0,1], fails only at 0, and in fact converges almost uniformly to 0.

Facts & Assumptions

Given: The typewriter sequence (fn) and its leftmost-interval subsequence gk:=f2k.

[L1]

The typewriter sequence is the sequence of dyadic interval indicators defined in The typewriter sequence converges in measure and in L^1 but nowhere pointwise.

[L2]

Convergence in measure has an almost-everywhere convergent subsequence. (Riesz's subsequence theorem for convergence in measure)

[L3]

On a finite measure space, convergence in measure has an almost-uniformly convergent subsequence. (On a finite measure space, convergence in measure has an almost-uniformly convergent subsequence)

Verification

technique · direct
1.1L1

By [L1], g0=f1=χ[0,1], and for k≥1 the index 2k picks the first dyadic interval of generation k, so gk=χ[0,2−k).

2.1step 1.1choosealgebra

If x∈(0,1], choose K with 2−K<x. Then for every k≥K one has x∉[0,2−k), so gk(x)=0. Thus gk(x)→0 for every x∈(0,1], while gk(0)=1 for all k.

2.2step 1.1choosealgebra

Let ε>0, put δ:=min⁡{ε/2,1/2}, and take E:=[0,δ). Then λ(E)=δ<ε, and if x∈[δ,1] and 2−k<δ then gk(x)=0. So gk→0 uniformly on [δ,1], which is almost-uniform convergence.

3.1step 2.1step 2.2L2L3∎

Step 2.1 exhibits an explicit almost-everywhere convergent subsequence of the typewriter family, matching the general existence promised by [L2], and step 2.2 strengthens it to almost-uniform convergence, matching [L3].

CounterexampleConstruction: Literature-sourcedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-08-28Open item page →

The translates of the unit interval converge almost everywhere to zero but not in measure

Statement refuted

almost-everywhere convergence implies convergence in measure on every measure space.

Facts & Assumptions

Given: Lebesgue measure on R and the sequence fn:=χ[n,n+1].

[L1]

Almost-everywhere convergence means pointwise convergence off a measurable null set. (Convergence almost everywhere relative to a measure)

[L2]

Convergence in measure means that for every real ε>0, μ({∣fn−f∣>ε})→0. (Convergence in measure)

Counterexample

technique · direct
1.1givenL1

Fix x∈R. If n>x+1, then x∉[n,n+1], so fn(x)=0. Hence fn(x)→0 for every x∈R, and therefore almost everywhere by [L1].

1.2givenL2

For every n one has {∣fn−0∣>1/2}=[n,n+1], whose Lebesgue measure is 1. So the bad-set measures do not tend to 0, and [L2] fails.

2.1step 1.1step 1.2∎

This sequence satisfies the premise of the refuted statement and violates its conclusion.

CounterexampleConstruction: AI-generatedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-08-28Open item page →

The translated unit intervals show that Egorov needs finite total measure

Statement refuted

Egorov's theorem holds on every measure space.

Facts & Assumptions

Given: Lebesgue measure on R and the sequence fn:=χ[n,n+1].

[L1]

This sequence converges almost everywhere to 0 but not in measure. (The translates of the unit interval converge almost everywhere to zero but not in measure)

[L2]

Almost-uniform convergence implies convergence in measure. (Almost uniform convergence implies almost-everywhere convergence and convergence in measure)

Counterexample

technique · direct
1.1L1

By [L1], the sequence fn=χ[n,n+1] converges almost everywhere to 0.

2.1L1L2discharge-contradiction∎

If this convergence were almost uniform, then [L2] would force convergence in measure as well. But [L1] says that convergence in measure fails. So the convergence is not almost uniform.

CounterexampleConstruction: Literature-sourcedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-08-28Open item page →

The spikes k chi_(0,1/k) converge almost everywhere and in measure to zero but not in L^1

Statement refuted

convergence in measure implies convergence in L1(μ).

Facts & Assumptions

Given: Lebesgue measure on [0,1] and the sequence defined by f0:=0 and fn(x):=n χ(0,1/n)(x) for n≥1.

[L1]

Almost-everywhere convergence means pointwise convergence off a measurable null set. (Convergence almost everywhere relative to a measure)

[L2]

Convergence in measure means that for every real ε>0, μ({∣fn−f∣>ε})→0. (Convergence in measure)

[L3]

Convergence in L1(μ) means ∫∣fn−f∣ dμ→0. (Convergence in L^1(mu))

Counterexample

technique · direct
1.1givenL1

Fix x∈[0,1]. If x>0, then 1/n<x for all large n, so fn(x)=0 eventually; and fn(0)=0 for every n. Thus fn(x)→0 for every x∈[0,1], hence almost everywhere by [L1].

1.2givenL2

Fix ε>0. For all n>ε one has {∣fn−0∣>ε}=(0,1/n), whose measure is 1/n→0. So fn→0 in measure by [L2].

1.3

For every n≥1, [given, L3, algebra] ∫01∣fn∣ dλ=∫01/nn dλ=1. So the L1 errors from 0 never tend to 0, and [L3] fails.

2.1step 1.1step 1.2step 1.3∎

The sequence converges almost everywhere and in measure to 0, but not in L1.

ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-08-28Open item page →

Egorov for x^k on the unit interval

Example

On [0,1] with Lebesgue measure, the functions fk(x):=xk converge pointwise to the function f(x)={0,0≤x<1,1,x=1.

For every ε∈(0,1), the exceptional set (1−ε,1] has measure ε, and on the closed core [0,1−ε] the convergence is uniform with estimate ∣xk−f(x)∣≤(1−ε)k.

Facts & Assumptions

Given: Lebesgue measure on [0,1], the sequence fk(x):=xk, and ε∈(0,1).

[L1]

Egorov's theorem says that on a finite measure space, almost-everywhere convergence implies almost-uniform convergence. (Egorov's theorem)

Verification

technique · direct
1.1given

If 0≤x<1, then xk→0, while 1k=1 for every k. Thus fk→f pointwise on [0,1].

2.1step 1.1algebra

Put E:=(1−ε,1]. Then λ(E)=ε, and for x∈[0,1−ε] one has f(x)=0 and ∣fk(x)−f(x)∣=xk≤(1−ε)k. Since (1−ε)k→0, the convergence is uniform on [0,1−ε].

3.1step 2.1L1∎

This is the almost-uniform conclusion predicted abstractly by [L1], and here the exceptional set and the uniform estimate are explicit.

ExampleConstruction: Literature-sourcedVerification: AI-generatedprecheck passaudited 2026-08-28Open item page →

The Dirichlet function satisfies Lusin's conclusion without being continuous anywhere

Example

Let D:=1Q∩[0,1] on [0,1]. Then for every ε>0 there is a closed set F⊆[0,1] with λ([0,1]∖F)<ε such that D∣F is continuous, even though D is nowhere continuous on [0,1].

Facts & Assumptions

Given: The Dirichlet function D:=1Q∩[0,1] and a real ε>0.

[L1]

The rationals are countable. (Q is countably infinite)

[L2]

For measurable (Ek) one has μ(⋃kEk)≤∑k=0∞μ(Ek). (Finite and countable subadditivity of measures)

[L3]

If A⊆B are measurable, then λ(A)≤λ(B). (Measures are monotone)

[L5]

Verification

technique · direct
1.1L1L2choose

By [L1], enumerate the rationals in [0,1] as (qj)j≥1. For each j, choose an open interval Uj centred at qj with length below ε2−j−1, and put U:=⋃j≥1Uj. Then Q∩[0,1]⊆U, and [L2] gives λ(U)≤∑j=1∞λ(Uj)<ε.

2.1step 1.1L3L4

Put F:=[0,1]∖U. Since U is open, [L4] makes F closed, and F contains no rationals. Therefore D∣F=0, so the restriction is continuous. Also [0,1]∖F=U∩[0,1]⊆U, so [L3] and step 1.1 give λ([0,1]∖F)≤λ(U)<ε.

3.1step 2.1L5∎

By [L5], every neighbourhood of every point of [0,1] meets both Q and its complement, so D is nowhere continuous on [0,1]. Thus step 2.1 is about the restriction D∣F, not continuity of D at the points of F.

ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-08-28Open item page →

A uniformly integrable family need not admit a single integrable majorant

Example

On [0,1] with Lebesgue measure, define ak:=∑j=1k−112j2,Ik:=[ak,ak+12k2),fk:=k χIk.

Then the family (fk)k≥1 is uniformly integrable, but no integrable function dominates all of it almost everywhere.

Facts & Assumptions

Given: Lebesgue measure on [0,1], the intervals Ik, and the functions fk:=k χIk.

[L1]

Uniform integrability means that for every ε>0 there is M>0 such that ∫{∣fk∣>M}∣fk∣ dμ<ε for every k. (A uniformly integrable family)

[L2]

On finite measure spaces, uniform integrability is equivalent to L1-boundedness plus uniform absolute continuity. (On a finite measure space, uniform integrability is equivalent to L^1-boundedness plus uniform absolute continuity)

Verification

technique · direct
1.1givenalgebra

The series ∑k=1∞12k2 converges to a value below 1, so the intervals Ik are pairwise disjoint subsets of [0,1]. Also ∫∣fk∣ dλ=kλ(Ik)=12k.

2.1step 1.1L1algebra

If M>0 and k≤M, then {∣fk∣>M}=∅; if k>M, then {∣fk∣>M}=Ik and ∫{∣fk∣>M}∣fk∣ dλ=12k≤12⌊M⌋+2. Hence the family is uniformly integrable by [L1].

2.2step 1.1algebra

If g were an integrable majorant for all fk, then ∣g∣≥g≥k almost everywhere on Ik. Since the intervals are pairwise disjoint, ∫∣g∣ dλ≥∑k=1∞∫Ik∣g∣ dλ≥∑k=1∞12k=+∞, contradicting integrability of g.

3.1step 2.1step 2.2L2∎

This family is therefore uniformly integrable but has no single integrable majorant. The example is exactly the failure of the false statement paired with [L2].

Sources