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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 →

xa on (0,1) and on (1,) calibrates Lp membership

Example

Fix a>0 and let

f0(x):=xaχ(0,1)(x),f(x):=xaχ(1,)(x)

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

  1. f0Lp exactly when ap<1.
  2. fLp 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 fpdμ (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=logx (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

Proof technique: Integrate xap on (0,1) and on (1,) using the real-power antiderivative and compare the two thresholds ap<1 and ap>1.

1.1

Because f0p=xapχ(0,1) and fp=xapχ(1,), [L1] reduces both claims to the improper integrals of xap.

L1given
2.1

On (0,1), the antiderivative is x1ap/(1ap) when ap1, so the improper integral converges when 1ap>0, that is, when ap<1. If ap=1, it is 01dx/x, which diverges by [L2]. If ap>1, then xapx1 on (0,1), so divergence follows from [L2] and the comparison test [L3].

L2L3step 1.1
2.2

On (1,), the same antiderivative converges when 1ap<0, that is, when ap>1. If ap=1, it is again 1dx/x, which diverges by [L2]. If ap<1, then xapx1 for x1, so divergence follows from [L2] and the comparison test [L3].

L2L3step 1.1
3.1

Steps 2.1 and 2.2 prove the two threshold claims.

step 2.1step 2.2
ExampleConstruction: Literature-sourcedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-08-31Open item page →

ka membership in p

Example

For a>0, define a sequence on N by a0:=0 and ak:=ka for k1. Then (ak)k0 belongs to p exactly when

ap>1.

Facts & Assumptions

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

[L1]

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

[L2]

The real p-series k1ks converges exactly when s>1 (The p-series for a real exponent p converges exactly when p is greater than one).

Verification

Proof technique: Apply the real p-series test to the series kap and read off the threshold ap>1.

1.1

By [L1], the sequence (ak) lies in p exactly when [L1, given] k=0akp=k=1kap converges.

2.1

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

L2step 1.1
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 n1, let X={0,,n1} with counting measure, and let f:XR be given by f(k)=xk. Then

fp=(k=0n1xkp)1/p(0<p<),

and

f=max0k<nxk.

For every rational p1, these are exactly the published p-norms on Rn from The p-norms xp for rational p1, and x; the displayed finite-sum formula itself remains valid for every real p>0.

Facts & Assumptions

Given: An integer n1, the finite set X={0,,n1}, and a function f(k)=xk.

[L1]

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

[L2]

For rational p1, The p-norms xp for rational p1, and x defines the finite-dimensional p-norms by the same finite-sum formula, and for n1 it defines the same maximum norm.

Verification

Proof technique: Unwind the counting-measure integral on a finite set and compare it term by term with the published p-norms on Rn.

1.1

Extending (x0,,xn1) by zeros outside {0,,n1} turns it [L1, given] into a sequence in the setting of [L1]. The resulting p and L formulas are exactly the two displayed expressions.

2.1

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

supx[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
1.1

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

given
1.2

If 0<ε<1, then {f>ε}=Q[0,1], which is null by [L2]; if ε1, then {f>ε}=, which is also null. Hence every ε>0 is an essential bound in the sense of [L1], and therefore f=0.

L1L2
2.1

Steps 1.1 and 1.2 prove the two claims.

step 1.1step 1.2
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

01fgdλ=fpgq.

Facts & Assumptions

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

[L1]

Equality in Holder holds when fp and gq are proportional almost everywhere (Equality in Holder's inequality for 1<p<).

Verification

Proof technique: Choose nonnegative functions with fp and gq proportional almost everywhere and invoke the equality theorem.

1.1

The functions satisfy [given] fp=apχ[0,1],gq=bqχ[0,1], so fp=(ap/bq)gq almost everywhere.

2.1

Applying [L1] gives equality in Holder: [L1, step 1.1] 01fgdλ=fpgq.

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

fp=(2p1+12)1/p,

and therefore fp2=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

Proof technique: Compute the p-norms explicitly for a two-step simple function with two distinct values and let p tend to infinity.

1.1

Direct computation gives [given, algebra] fpp=01fpdλ=2p2+1p2=2p1+12.

2.1

Hence [L1, step 1.1, algebra] fp=(2p1+12)1/p=2(12+2p1)1/p. For p1, its bracket lies between 1/2 and 1, so its 1/p power lies between 21/p and 1 and therefore tends to 1. Thus fp2. 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+g22+fg22=2f22+2g22=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

Proof technique: Evaluate all four L2 norms on a pair of simple indicator functions and compare the two sides directly.

1.1

Since f and g are disjoint indicators of sets of measure 1/2, [given, algebra] f22=g22=12,f+g22=1,fg22=1.

2.1

Therefore [L1, step 1.1] f+g22+fg22=1+1=2=212+212=2f22+2g22, 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)=xaχ(0,1)(x), one has f0Lp exactly when ap<1 (xa on (0,1) and on (1,) calibrates Lp membership).

Counterexample

Proof technique: Use the power-function family xa near 0 with 1/2a<1.

1.1

Choose a=3/4 and set f(x):=x3/4χ(0,1)(x). Then [L1, given] a1=3/4<1, so [L1] gives fL1. But a2=3/2>1, so [L1] also gives fL2.

2.1

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)=xaχ(1,)(x), one has fLp exactly when ap>1 (xa on (0,1) and on (1,) calibrates Lp membership).

Counterexample

Proof technique: Use the power-function family xa at infinity with 1/2<a1.

1.1

Choose a=3/4 and set f(x):=x3/4χ(1,)(x). Then [L1] a2=3/2>1, so [L1] gives fL2. But a1=3/41, so gives fL1.

L1given
2.1

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 1p and 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

Proof 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.

1.1

On [0,1] with Lebesgue measure, let [L1, given, algebra] f:=χ[0,1/2] and g:=χ(1/2,1]. Then f1/2=(01/21dλ)2=14,g1/2=14, while f+g1/2=(011dλ)2=1.

2.1

Therefore [step 1.1, L1] f+g1/2=1>14+14=f1/2+g1/2, 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

Proof 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.

1.1

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

1.2

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

2.1

Thus a nonzero measurable function can have zero Lp seminorm.

step 1.1step 1.2
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 hp=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

Proof 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 Lp.

1.1

Let fn:=h for every n, where h is the function from [L1]. Then [L1, L2] (fn) is constant, hence Cauchy in the representative p-distance.

2.1

Also [L1, step 1.1] fnhp=0,fn0p=hp=0 for every n. So the same sequence converges both to h and to 0, even though those two functions are distinct pointwise.

3.1

Therefore the representative-space distance does not have unique limits [step 2.1] 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 1p<r, one has LpLr.

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

Proof technique: Refute with the two power-function counterexamples on the line: one witness lies in L1L2 and another lies in L2L1.

1.1

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

L1
1.2

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

2.1

Hence the displayed universal inclusion statement is false.

step 1.1step 1.2
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 ffp is a norm.

Facts & Assumptions

Given: A nonzero function with zero seminorm.

[L1]

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

[L2]

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

Refutation

Proof technique: Refute with a nonzero function supported on a null set, whose seminorm is 0.

1.1

Let f be the function from [L1]. Then f0 pointwise but [L1] fp=0.

2.1

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

Proof technique: Refute with the indicator of the rationals on [0,1], whose pointwise supremum is 1 but whose essential supremum is 0.

1.1

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

L1
2.1

Therefore the statement is false.

step 1.1
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 fnun, 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

Proof technique: Refute in L1 by the published typewriter witness: the sequence converges in norm and therefore is Cauchy, but it has no pointwise limit anywhere on [0,1].

1.1

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

L1given
2.1

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.

3.1

Therefore the universal claim is false.

step 2.1
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+g1/2>f1/2+g1/2 (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

Proof technique: Refute with the explicit 1/2-triangle-inequality failure on two indicators.

1.1

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

L1L2
2.1

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

step 1.1
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 fp and gq was proved only for 1<p< (Equality in Holder's inequality for 1<p<).

Refutation

Proof technique: Refute at the endpoint p=1, q= with f=χA and g=1 on a proper positive-measure subset A. Equality holds, but the functions are not proportional on the whole space.

1.1

Let A=[0,1/2], let f:=χA, and let g:=χ[0,1]. Then [L1, given, algebra] 01fgdλ=λ(A)=12,f1=12,g=1. So equality holds in Holder: 01fgdλ=f1g.

2.1

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.

3.1

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

Sources