Alphabeta Math
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.

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✓ 18 results · all verified · 9 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 9 not AI-judged were verified by owner audit (typically over a confirmed judge false positive), not failures.

The Lp Spaces Holder Minkowski and Riesz Fischer: Examples and Counterexamples

1 · Prerequisites

2 · Summary

The companion page keeps the standard witnesses next to the main theorem chain: the power-function families for inclusion thresholds, the counting-measure dictionary, the essential-supremum and Holder-equality models, the explicit p→∞ computation, and the exact failures the main page warns about.

3 · Logical flowchart

4 · Definitions, theorems and proofs

None yet.

5 · Examples, counterexamples and false statements

ExampleConstruction: Literature-sourcedVerification: AI-generatedprecheck passaudited 2026-08-31Open item page →

x−a on (0,1) and on (1,∞) calibrates Lp membership

Example

Fix a>0 and let

f0(x):=x−aχ(0,1)(x),f∞(x):=x−aχ(1,∞)(x)

on R with Lebesgue measure. Then for every p>0:

  1. f0∈Lp exactly when ap<1.
  2. f∞∈Lp exactly when ap>1.

So the single power family produces both inclusion failures on R.

Facts & Assumptions

Given: Real numbers a>0 and p>0.

[L1]

Membership in Lp means finiteness of ∫∣f∣p dμ (The function space Lp(μ) for 0<p<∞).

[L2]

Positive-base power functions have the usual antiderivatives away from the logarithmic endpoint, and ∫dx/x=log⁡x (Continuity and derivatives of positive-base real powers, The natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t).

[L3]

The comparison tests for improper integrals are available (Comparison tests for improper integrals).

Verification

technique · Integrate $x^{-ap}$ on $(0,1)$ and on $(1,\infty)$ using the real-power antiderivative and compare the two thresholds $ap<1$ and $ap>1$
1.1L1given

Because ∣f0∣p=x−apχ(0,1) and ∣f∞∣p=x−apχ(1,∞), [L1] reduces both claims to the improper integrals of x−ap.

2.1L2L3step 1.1

On (0,1), the antiderivative is x1−ap/(1−ap) when ap≠1, so the improper integral converges when 1−ap>0, that is, when ap<1. If ap=1, it is ∫01dx/x, which diverges by [L2]. If ap>1, then x−ap≥x−1 on (0,1), so divergence follows from [L2] and the comparison test [L3].

2.2L2L3step 1.1

On (1,∞), the same antiderivative converges when 1−ap<0, that is, when ap>1. If ap=1, it is again ∫1∞dx/x, which diverges by [L2]. If ap<1, then x−ap≥x−1 for x≥1, so divergence follows from [L2] and the comparison test [L3].

3.1step 2.1step 2.2∎

Steps 2.1 and 2.2 prove the two threshold claims.

ExampleConstruction: Literature-sourcedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-08-31Open item page →

k−a membership in ℓp

Example

For a>0, define a sequence on N by a0:=0 and ak:=k−a for k≥1. Then (ak)k≥0 belongs to ℓp exactly when

ap>1.

Facts & Assumptions

Given: Real numbers a>0 and p>0.

[L1]

ℓp is the counting-measure version of Lp (ℓp is the Lp space of counting measure).

[L2]

The real p-series ∑k≥1k−s converges exactly when s>1 (The p-series for a real exponent p converges exactly when p is greater than one).

Verification

technique · Apply the real $p$-series test to the series $\sum k^{-ap}$ and read off the threshold $ap>1$
1.1L1given

By [L1], the sequence (ak) lies in ℓp exactly when [L1, given] ∑k=0∞∣ak∣p=∑k=1∞k−ap converges.

2.1L2step 1.1∎

By [L2], that series converges exactly when ap>1.

ExampleConstruction: AI-adaptedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-08-31Open item page →

Finite counting measure on n points recovers Rn p-norms

Example

Let n≥1, let X={0,…,n−1} with counting measure, and let f:X→R be given by f(k)=xk. Then

∥f∥p=(∑k=0n−1∣xk∣p)1/p(0<p<∞),

and

∥f∥∞=max⁡0≤k<n∣xk∣.

For every rational p≥1, these are exactly the published p-norms on Rn from The p-norms ∥x∥p for rational p≥1, and ∥x∥∞; the displayed finite-sum formula itself remains valid for every real p>0.

Facts & Assumptions

Given: An integer n≥1, the finite set X={0,…,n−1}, and a function f(k)=xk.

[L1]

ℓp is the counting-measure version of Lp (ℓp is the Lp space of counting measure).

[L2]

For rational p≥1, The p-norms ∥x∥p for rational p≥1, and ∥x∥∞ defines the finite-dimensional p-norms by the same finite-sum formula, and for n≥1 it defines the same maximum norm.

Verification

technique · Unwind the counting-measure integral on a finite set and compare it term by term with the published $p$-norms on $\mathbb R^n$
1.1L1given

Extending (x0,…,xn−1) by zeros outside {0,…,n−1} turns it into a sequence in the setting of [L1]. The resulting ℓp and L∞ formulas are exactly the two displayed expressions.

2.1L2step 1.1∎

In the ranges stated in [L2], those expressions are exactly the published [step 1.1, L2] norms on Rn. For other real p>0, step 1.1 still gives the displayed Lp functional, without claiming that the earlier finite-dimensional page called it a norm.

ExampleConstruction: Literature-sourcedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-08-31Open item page →

Indicator of the rationals has zero essential supremum but pointwise supremum one

Example

On [0,1] with Lebesgue measure, let f:=χQ∩[0,1]. Then

sup⁡x∈[0,1]f(x)=1,∥f∥∞=0.

So essential supremum and pointwise supremum need not agree.

Facts & Assumptions

Given: The function f=χQ∩[0,1] on [0,1].

[L1]

The essential supremum is the infimum of the essential bounds (The essential supremum of a measurable function with respect to a measure).

[L2]

Q is countable, and every at most countable subset of R is null (Q is countably infinite, Every at most countable subset of R has measure zero).

Verification

technique · Use that the rationals in $[0,1]$ are countable and therefore null, so every positive threshold is exceeded only on a null set
1.1given

The pointwise supremum is 1 because f(x)=1 on every rational point of [0,1].

1.2L1L2

If 0<ε<1, then {f>ε}=Q∩[0,1], which is null by [L2]; if ε≥1, then {f>ε}=∅, which is also null. Hence every ε>0 is an essential bound in the sense of [L1], and therefore ∥f∥∞=0.

2.1step 1.1step 1.2∎

Steps 1.1 and 1.2 prove the two claims.

ExampleConstruction: Literature-sourcedVerification: AI-generatedprecheck passaudited 2026-08-31Open item page →

Proportional functions realise the equality case of Holder

Example

Fix 1<p<∞, let q be its conjugate exponent, and work on [0,1] with Lebesgue measure. For positive constants a,b, define

f:=aχ[0,1],g:=bχ[0,1].

Then

∫01∣fg∣ dλ=∥f∥p∥g∥q.

Facts & Assumptions

Given: Constants a,b>0, an exponent 1<p<∞, and its conjugate q.

[L1]

Equality in Holder holds when ∣f∣p and ∣g∣q are proportional almost everywhere (Equality in Holder's inequality for 1<p<∞).

Verification

technique · Choose nonnegative functions with $|f|^p$ and $|g|^q$ proportional almost everywhere and invoke the equality theorem
1.1given

The functions satisfy [given] ∣f∣p=apχ[0,1],∣g∣q=bqχ[0,1], so ∣f∣p=(ap/bq)∣g∣q almost everywhere.

2.1L1step 1.1∎

Applying [L1] gives equality in Holder: [L1, step 1.1] ∫01∣fg∣ dλ=∥f∥p∥g∥q.

ExampleConstruction: AI-adaptedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-08-31Open item page →

A two-step function shows the Lp norm converging to the essential supremum

Example

On [0,1] with Lebesgue measure, let

f:=2χ[0,1/2]+χ(1/2,1].

Then

∥f∥p=(2p−1+12)1/p,

and therefore ∥f∥p→2=∥f∥∞ as p→∞.

Facts & Assumptions

Given: The two-step function f above.

[L1]

The Lp norms of essentially bounded Lr functions converge to the essential supremum (Lp norms converge to the essential supremum for essentially bounded Lr functions).

Verification

technique · Compute the $p$-norms explicitly for a two-step simple function with two distinct values and let $p$ tend to infinity
1.1givenalgebra

Direct computation gives [given, algebra] ∥f∥pp=∫01∣f∣p dλ=2p2+1p2=2p−1+12.

2.1L1step 1.1algebra∎

Hence [L1, step 1.1, algebra] ∥f∥p=(2p−1+12)1/p=2(12+2−p−1)1/p. For p≥1, its bracket lies between 1/2 and 1, so its 1/p power lies between 2−1/p and 1 and therefore tends to 1. Thus ∥f∥p→2. This agrees with [L1] because the essential supremum of f is 2.

ExampleConstruction: AI-adaptedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-08-31Open item page →

The parallelogram law on two indicator functions in L2

Example

On [0,1] with Lebesgue measure, let

f:=χ[0,1/2],g:=χ(1/2,1].

Then

∥f+g∥22+∥f−g∥22=2∥f∥22+2∥g∥22=2.

Facts & Assumptions

Given: The two indicator functions f and g above.

[L1]

The L2 parallelogram law has already been proved (The parallelogram law in L2).

Verification

technique · Evaluate all four $L^2$ norms on a pair of simple indicator functions and compare the two sides directly
1.1givenalgebra

Since f and g are disjoint indicators of sets of measure 1/2, [given, algebra] ∥f∥22=∥g∥22=12,∥f+g∥22=1,∥f−g∥22=1.

2.1L1step 1.1∎

Therefore [L1, step 1.1] ∥f+g∥22+∥f−g∥22=1+1=2=2⋅12+2⋅12=2∥f∥22+2∥g∥22, exactly as [L1] predicts.

CounterexampleConstruction: Literature-sourcedVerification: AI-generatedprecheck passaudited 2026-08-31Open item page →

L1 is not a subset of L2 on the line

Statement refuted

On R with Lebesgue measure, every L1 function lies in L2.

Facts & Assumptions

[L1]

For f0(x)=x−aχ(0,1)(x), one has f0∈Lp exactly when ap<1 (x−a on (0,1) and on (1,∞) calibrates Lp membership).

Counterexample

technique · Use the power-function family $x^{-a}$ near $0$ with $1/2\le a<1$
1.1L1given

Choose a=3/4 and set f(x):=x−3/4χ(0,1)(x). Then [L1, given] a⋅1=3/4<1, so [L1] gives f∈L1. But a⋅2=3/2>1, so [L1] also gives f∉L2.

2.1step 1.1∎

Thus f is an L1 function on R that does not lie in L2, [step 1.1] refuting the claim.

CounterexampleConstruction: Literature-sourcedVerification: AI-generatedprecheck passaudited 2026-08-31Open item page →

L2 is not a subset of L1 on the line

Statement refuted

On R with Lebesgue measure, every L2 function lies in L1.

Facts & Assumptions

[L1]

For f∞(x)=x−aχ(1,∞)(x), one has f∞∈Lp exactly when ap>1 (x−a on (0,1) and on (1,∞) calibrates Lp membership).

Counterexample

technique · Use the power-function family $x^{-a}$ at infinity with $1/2<a\le1$
1.1L1given

Choose a=3/4 and set f(x):=x−3/4χ(1,∞)(x). Then [L1] a⋅2=3/2>1, so [L1] gives f∈L2. But a⋅1=3/4≯1, so gives f∉L1.

2.1step 1.1∎

Thus f is an L2 function on R that does not lie in L1, [step 1.1] refuting the claim.

RemarkRemark: AI-adaptedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-08-31Open item page →

The published typewriter sequence shows why Riesz-Fischer only promises a subsequence

The published false statement FALSE: convergence in L^1(mu) forces almost-everywhere convergence records the typewriter sequence: it converges in L1 but has no pointwise limit anywhere. So the subsequence clause in Riesz-Fischer completeness of Lp for 1≤p≤∞ and Assuming Countable Choice, Lp-convergent sequences have almost-everywhere convergent subsequences is not cosmetic. Without it, the theorem would be false already on [0,1].

CounterexampleConstruction: AI-adaptedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-08-31Open item page →

The half-norm fails the triangle inequality on two indicators

Statement refuted

On every measure space, the functional ∥ ⋅ ∥1/2 satisfies the triangle inequality.

Facts & Assumptions

Given: The 0<p<1 non-norm proposition The p-functional need not be a norm for 0<p<1.

[L1]

The proof of The p-functional need not be a norm for 0<p<1 uses two disjoint equal-mass indicators to violate the triangle inequality.

Counterexample

technique · Take two disjoint indicators of equal positive measure. Then the $1/2$-functional of the sum exceeds the sum of the two $1/2$-functionals
1.1L1givenalgebra

On [0,1] with Lebesgue measure, let [L1, given, algebra] f:=χ[0,1/2] and g:=χ(1/2,1]. Then ∥f∥1/2=(∫01/21 dλ)2=14,∥g∥1/2=14, while ∥f+g∥1/2=(∫011 dλ)2=1.

2.1step 1.1L1∎

Therefore [step 1.1, L1] ∥f+g∥1/2=1>14+14=∥f∥1/2+∥g∥1/2, so the triangle inequality fails. This is exactly the phenomenon summarized in [L1].

CounterexampleConstruction: Literature-sourcedVerification: AI-generatedprecheck passaudited 2026-08-31Open item page →

A nonzero function on a null set has zero Lp seminorm

Statement refuted

Every nonzero measurable function has positive Lp seminorm.

Facts & Assumptions

Given: The rational indicator on [0,1].

[L1]

Q is countable and countable subsets of R are null (Q is countably infinite, Every at most countable subset of R has measure zero).

[L2]

Null functions are exactly the zero-seminorm class in every range treated on this page (Null functions form a linear subspace and are exactly the zero-seminorm class).

Counterexample

technique · Use the indicator of a countable null subset of $[0,1]$. It is not the zero function, but its $p$-seminorm and essential supremum both vanish
1.1given

Let f:=χQ∩[0,1]. Then f is not the zero function, [given] because f(q)=1 for every rational q∈[0,1].

1.2L1L2

By [L1], the support of f is null, so f=0 almost everywhere. Therefore [L1, L2] [L2] gives ∥f∥p=0 in every finite-p range treated on the page, and also ∥f∥∞=0.

2.1step 1.1step 1.2∎

Thus a nonzero measurable function can have zero Lp seminorm.

CounterexampleConstruction: AI-adaptedVerification: AI-generatedprecheck passaudited 2026-08-31Open item page →

A Cauchy sequence in calligraphic Lp can converge to two distinct functions

Statement refuted

In the representative space Lp(μ), the p-distance always gives unique limits.

Facts & Assumptions

Given: A nonzero null-supported function from A nonzero function on a null set has zero Lp seminorm.

[L1]

The previous counterexample supplies a measurable function h≢0 with ∥h∥p=0 (A nonzero function on a null set has zero Lp seminorm).

[L2]

Lp(μ) is the representative function space before quotienting (The function space Lp(μ) for 0<p<∞).

Counterexample

technique · Take the constant sequence equal to a nonzero function supported on a null set. Its distance to the zero function is $0$, so it converges to both itself and $0$ in the pseudometric on calligraphic $L^p$
1.1L1L2

Let fn:=h for every n, where h is the function from [L1]. Then (fn) is constant, hence Cauchy in the representative p-distance.

2.1L1step 1.1

Also ∥fn−h∥p=0,∥fn−0∥p=∥h∥p=0 for every n. So the same sequence converges both to h and to 0, even though those two functions are distinct pointwise.

3.1step 2.1∎

Therefore the representative-space distance does not have unique limits before passing to almost-everywhere classes.

False statementConstruction: Literature-sourcedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-08-31Open item page →

FALSE: Lp includes into Lr on every measure space when p<r

Statement

For every measure space and every exponents 1≤p<r≤∞, one has Lp⊆Lr.

Facts & Assumptions

Given: The two power-function counterexamples on R.

[L1]

There is an L1 function on R that is not in L2 (L1 is not a subset of L2 on the line).

[L2]

There is an L2 function on R that is not in L1 (L2 is not a subset of L1 on the line).

Refutation

technique · Refute with the two power-function counterexamples on the line: one witness lies in $L^1\setminus L^2$ and another lies in $L^2\setminus L^1$
1.1L1

Taking p=1 and r=2, [L1] already contradicts the claim.

1.2L2

The reverse failure [L2] shows why the line supports neither global [L2] inclusion.

2.1step 1.1step 1.2∎

Hence the displayed universal inclusion statement is false.

False statementConstruction: Literature-sourcedVerification: AI-generatedprecheck passaudited 2026-08-31Open item page →

FALSE: the p-seminorm on calligraphic Lp is a norm

Statement

On the representative space Lp(μ), the functional f↦∥f∥p is a norm.

Facts & Assumptions

Given: A nonzero function with zero seminorm.

[L1]

The previous counterexample supplies a measurable function f≢0 with ∥f∥p=0 (A nonzero function on a null set has zero Lp seminorm).

[L2]

A norm must satisfy the separation axiom N(v)=0⇔v=0 (A norm on a real vector space, the induced metric, and the dictionary with the metric axioms).

Refutation

technique · Refute with a nonzero function supported on a null set, whose seminorm is $0$
1.1L1

Let f be the function from [L1]. Then f≠0 pointwise but [L1] ∥f∥p=0.

2.1L2step 1.1∎

This violates the separation axiom in [L2], so the p-seminorm on [step 1.1, L2] Lp(μ) is not a norm.

False statementConstruction: Literature-sourcedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-08-31Open item page →

FALSE: the essential supremum equals the pointwise supremum

Statement

For every measurable function, the essential supremum equals the pointwise supremum.

Facts & Assumptions

Given: The rational-indicator example on [0,1].

[L1]

The function χQ∩[0,1] has pointwise supremum 1 but essential supremum 0 (Indicator of the rationals has zero essential supremum but pointwise supremum one).

Refutation

technique · Refute with the indicator of the rationals on $[0,1]$, whose pointwise supremum is $1$ but whose essential supremum is $0$
1.1L1

The single function from [L1] already violates the claimed equality.

2.1step 1.1∎

Therefore the statement is false.

False statementConstruction: Literature-sourcedVerification: AI-generatedprecheck passaudited 2026-08-31Open item page →

FALSE: representatives of every Lp-Cauchy sequence converge pointwise almost everywhere

Statement

For every Cauchy sequence (un) in Lp(μ) and every choice of measurable representatives fn∈un, the sequence (fn) converges pointwise almost everywhere.

Facts & Assumptions

Given: The published typewriter-sequence false statement.

[L1]

The published false statement FALSE: convergence in L^1(mu) forces almost-everywhere convergence supplies a sequence converging in L1 but not almost everywhere.

Refutation

technique · Refute in $L^1$ by the published typewriter witness: the sequence converges in norm and therefore is Cauchy, but it has no pointwise limit anywhere on $[0,1]$
1.1L1given

The sequence from [L1] converges in L1, hence is Cauchy in L1.

2.1L1step 1.1

The same source records representatives that fail to converge almost [L1, step 1.1] everywhere. So representatives of a Cauchy sequence in Lp need not converge pointwise almost everywhere.

3.1step 2.1∎

Therefore the universal claim is false.

False statementConstruction: Literature-sourcedVerification: AI-generatedprecheck passaudited 2026-08-31Open item page →

FALSE: L1/2 with its p-functional is a normed space

Statement

The space L1/2(μ) with the functional ∥ ⋅ ∥1/2 is a normed space.

Facts & Assumptions

Given: The explicit half-norm triangle-inequality failure.

[L1]

The previous counterexample exhibits functions with ∥f+g∥1/2>∥f∥1/2+∥g∥1/2 (The half-norm fails the triangle inequality on two indicators).

[L2]

A normed space requires a norm, hence the triangle inequality (A norm on a real vector space, the induced metric, and the dictionary with the metric axioms).

Refutation

technique · Refute with the explicit $1/2$-triangle-inequality failure on two indicators
1.1L1L2

The functions from [L1] violate the triangle inequality required by [L2].

2.1step 1.1∎

Therefore L1/2(μ) with ∥ ⋅ ∥1/2 is not a normed space.

False statementConstruction: Literature-sourcedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-08-31Open item page →

FALSE: Holder equality forces the functions themselves to be proportional

Statement

Whenever equality holds in Holder's inequality, the two functions themselves are proportional almost everywhere.

Facts & Assumptions

Given: The endpoint pair (p,q)=(1,∞) on [0,1] with Lebesgue measure.

[L1]

Holder's inequality includes the endpoint cases (Holder's inequality for integrals, including the endpoint cases).

[L2]

The strict proportionality criterion on ∣f∣p and ∣g∣q was proved only for 1<p<∞ (Equality in Holder's inequality for 1<p<∞).

Refutation

technique · Refute at the endpoint $p=1$, $q=\infty$ with $f=\chi_A$ and $g=1$ on a proper positive-measure subset $A$. Equality holds, but the functions are not proportional on the whole space
1.1L1givenalgebra

Let A=[0,1/2], let f:=χA, and let g:=χ[0,1]. Then ∫01∣fg∣ dλ=λ(A)=12,∥f∥1=12,∥g∥∞=1. So equality holds in Holder: ∫01∣fg∣ dλ=∥f∥1∥g∥∞..

2.1L2step 1.1

There is no constant c with f=cg almost everywhere, because on [L2, step 1.1] A one would need c=1 while on (1/2,1] one would need c=0. This does not contradict [L2], because [L2] does not cover the endpoint p=1.

3.1step 1.1step 2.1∎

Thus equality in Holder does not force the functions themselves to be [step 1.1, step 2.1] proportional almost everywhere.

Sources