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15 results · all verified · 2 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 13 not AI-judged were verified by owner audit (typically over a confirmed judge false positive), not failures.

The Radon Nikodym Theorem and Lebesgue Decomposition — Examples

1 · Prerequisites

2 · Summary

The companion page keeps the standard densities, decompositions, and failure modes beside the theorem chain: concrete decompositions first, then the separate witnesses for the two sigma-finiteness hypotheses, almost-everywhere nonuniqueness of representatives, and the finite-versus-unbounded seams.

3 · Logical flowchart

4 · Definitions, theorems and proofs

None yet.

5 · Examples, counterexamples and false statements

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

The density 2x on [0,1] is the Radon-Nikodym derivative of its density measure

Example

Let ν be the measure on (R,B(R)) defined by ν(E):=E2xχ[0,1](x)dλ(x). Then νλ and dνdλ=2xχ[0,1](x)λ-almost everywhere.

Facts & Assumptions

Given: The measurable function h(x)=2xχ[0,1](x).

[L1]

A nonnegative measurable function defines a measure by EEhdλ. (The measure with density f relative to μ)

[L2]

Integrating against a density recovers the product integral. (Integrating against a density agrees with integrating the product)

[L3]

For a sigma-finite positive base and a signed measure satisfying the common finite-exhaustion hypothesis, the Radon--Nikodym derivative is the almost-everywhere class of a function whose measurable-set integrals recover the measure (The Radon-Nikodym derivative as an almost-everywhere equivalence class).

Verification

technique · direct
1.1

By [L1], ν is a measure with density h relative to λ, so in particular νλ.

L1given
2.1

The measure λ is sigma-finite, ν is finite because ν(R)=1, and [n,n] is a common finite exhaustion. For every measurable E, the definition of ν gives ν(E)=Ehdλ. Therefore [L3] identifies h as a representative of dν/dλ.

step 1.1L2L3algebra
ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-08-31Open item page →

The Lebesgue decomposition of one half Lebesgue plus one half Cantor measure

Example

Assume the Axiom of Countable Choice. Let ν:=12λ ⁣[0,1]+12μc, where μc is the Cantor measure. Then the Lebesgue decomposition of ν relative to λ is νa=12λ ⁣[0,1],νs=12μc.

Facts & Assumptions

Given: The measure ν=12λ ⁣[0,1]+12μc.

[L1]

The Cantor measure is singular with respect to Lebesgue measure. (The Cantor measure is a singular atomless probability measure concentrated on the Cantor set)

[A1]

The restriction λ ⁣[0,1] is absolutely continuous with respect to λ because intersection with [0,1] preserves Lebesgue-null sets.

[L3]

Under a common finite exhaustion, the Lebesgue decomposition relative to a fixed positive measure is unique (The Lebesgue decomposition of a sigma-finite signed measure is unique).

Verification

technique · direct
1.1

The measure 12λ ⁣[0,1] is absolutely continuous with respect to λ by [A1], while 12μc is singular with respect to λ by [L1]. Their sum is ν by definition.

A1L1given
2.1

The sets Xn=[n,n] form a common finite exhaustion for λ and the finite measure ν. Since ν=12λ ⁣[0,1]+12μc is already a decomposition into an absolutely continuous part and a singular part, [L3] forces it to be the Lebesgue decomposition of ν relative to λ.

step 1.1L3
ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-08-31Open item page →

The measure δ0+λ ⁣[0,1] splits into discrete and absolutely continuous parts

Example

Assume the Axiom of Countable Choice. Let μ:=δ0+λ ⁣[0,1]. Then in the three-part decomposition of Every finite Borel measure on R has a unique absolutely continuous, discrete, and singular-continuous decomposition one has μd=δ0,μac=λ ⁣[0,1],μsc=0.

Facts & Assumptions

Given: The finite Borel measure μ=δ0+λ ⁣[0,1].

[L1]

Dirac measure is a finite Borel measure concentrated at one point. (The Dirac set function at a point, A Dirac set function is a probability measure)

[A1]

The restriction λ ⁣[0,1] is absolutely continuous with respect to λ.

[L3]

Every finite Borel measure on R has a unique absolutely continuous, discrete, and singular-continuous decomposition. (Every finite Borel measure on R has a unique absolutely continuous, discrete, and singular-continuous decomposition)

Verification

technique · direct
1.1

By [L1], δ0 is discrete. By [A1], λ ⁣[0,1] is absolutely continuous with respect to λ. Their sum is μ, and neither summand has an atomless singular part.

L1A1given
2.1

Therefore the displayed decomposition has exactly the form required by [L3], and uniqueness there forces μd=δ0, μac=λ ⁣[0,1], and μsc=0.

step 1.1L3
ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-08-31Open item page →

The chain rule for Radon-Nikodym derivatives on [0,1]

Example

Let μ:=2λ on [0,1], and let ν(E):=E2xχ[0,1](x)dλ(x). Then dμdλ=2,dνdμ=xχ[0,1](x),dνdλ=2xχ[0,1](x), so dνdλ=dνdμdμdλλ-almost everywhere.

Facts & Assumptions

Given: The measures μ=2λ and ν(E)=E2xχ[0,1](x)dλ(x).

[L1]

For an absolutely continuous signed measure and a sigma-finite positive base satisfying a common finite exhaustion, a Radon--Nikodym derivative is any representative whose measurable-set integrals recover the measure (The Radon-Nikodym derivative as an almost-everywhere equivalence class).

[L3]

Integrals over null sets vanish (A nonnegative integral over a null set vanishes).

[L2]

Under the sigma-finiteness, common finite-exhaustion, and νμλ hypotheses, Radon--Nikodym derivatives satisfy the chain rule (Radon-Nikodym derivatives satisfy the chain rule along nu << mu << lambda).

Verification

technique · direct
1.1

On the measurable space [0,1], the measures λ, μ, and ν are finite, their one-set exhaustion is common, and [L3] gives νμλ. For every measurable set E, one has μ(E)=E2dλ and ν(E)=E2xχ[0,1](x)dλ(x). Therefore [L1] lets us take dμ/dλ=2 and dν/dλ=2xχ[0,1].

L1L3given
2.1

The function xχ[0,1] satisfies Exdμ=E2xdλ=ν(E), so it represents dν/dμ. On the measurable space [0,1], all three measures are finite, the one-set exhaustion X1=[0,1] is common, and νμλ. Applying [L2] now yields dνdλ=dνdμdμdλ=x2=2xλ-almost everywhere on [0,1].

step 1.1L2algebra
ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-08-31Open item page →

A piecewise-quadratic distribution function recovers its density

Example

Assume the Axiom of Countable Choice. Define F(x):={0,x0,x2,0x1,1,x1. Let μF be the Lebesgue-Stieltjes measure of F. Then μF(E)=E2xχ[0,1](x)dλ(x)(EB(R)), so the density recovered from F is 2xχ[0,1](x).

Facts & Assumptions

Given: The piecewise-quadratic distribution function F above.

[L1]

A nondecreasing right-continuous function on R defines a Lebesgue--Stieltjes measure. Two Borel measures finite on compact sets and agreeing on all half-open intervals are equal (Assuming countable choice, a nondecreasing right-continuous function defines a Borel measure on R, The interval data on (a,b] determines the Borel measure uniquely).

[L3]

A nonnegative measurable density defines a measure (The measure with density f relative to μ).

[L2]

For an absolutely continuous signed measure and a sigma-finite positive base satisfying a common finite exhaustion, a Radon--Nikodym derivative is represented by a measurable function whose measurable-set integrals recover the measure (The Radon-Nikodym derivative as an almost-everywhere equivalence class).

[L4]

Integrals over null sets vanish (A nonnegative integral over a null set vanishes).

Verification

technique · direct
1.1

The function F is nondecreasing and right-continuous, so [L1] gives a Borel measure μF. For every a<b, direct integration shows (a,b]2xχ[0,1](x)dλ(x)=F(b)F(a), because both sides are 0 off [0,1], and on [0,1] they equal b2a2 or the corresponding truncated interval increment.

L1givenalgebra
2.1

By [L3], EE2xχ[0,1]dλ is a finite Borel measure and hence is finite on compact sets. The Lebesgue--Stieltjes measure μF is also finite, because F has total increment 1. The two measures agree on every half-open interval by step 1.1, so [L1] makes them equal on all Borel sets. Thus [L4] makes μFλ; λ is sigma-finite and [n,n] is a common finite exhaustion. Therefore [L2] identifies 2xχ[0,1] as a representative of dμF/dλ.

step 1.1L1L2L3L4
CounterexampleConstruction: Literature-sourcedVerification: AI-generatedprecheck passaudited 2026-08-31Open item page →

Counting measure on [0,1] shows the dominating measure needs sigma-finiteness

Statement refuted

Lebesgue measure on [0,1] has a Radon-Nikodym density with respect to counting measure on [0,1].

Facts & Assumptions

Given: Counting measure c on [0,1] and Lebesgue measure λ on [0,1].

[L1]

Counting measure is a measure, and for a singleton one has c({x})=1. (Counting measure on an arbitrary set, Counting measure is a measure)

[L2]

A density representation would mean λ(E)=Efdc for every measurable set E. (The measure with density f relative to μ)

Counterexample

technique · direct
1.1

Suppose λ(E)=Efdc for every measurable set E[0,1]. Applying this to a singleton {x} and using [L1] gives 0=λ({x})={x}fdc=f(x)(x[0,1]). Thus f=0 pointwise.

L1L2assume-contraalgebra
2.1

Step 1.1 and [L2] then give λ([0,1])=[0,1]fdc=0, contradicting the fact that the interval has Lebesgue mass 1. Therefore no such density exists.

step 1.1L2contradiction: total mass onedischarge-contradiction
CounterexampleConstruction: Literature-sourcedVerification: AI-generatedprecheck passaudited 2026-08-31Open item page →

x1dλ on (0,1) shows finiteness is needed in the epsilon-delta criterion

Statement refuted

The epsilon-delta small-set condition characterises absolute continuity for every sigma-finite measure.

Facts & Assumptions

Given: The measure ν(E)=Ex1χ(0,1)(x)dλ(x) on R.

[L1]

A nonnegative measurable density defines a measure (The measure with density f relative to μ), and its integral over every Lebesgue-null set vanishes (A nonnegative integral over a null set vanishes), so the resulting measure is absolutely continuous with respect to λ.

[L2]

The finite-measure theorem proves the epsilon-delta criterion only under a finiteness hypothesis. (For finite signed or complex measures, absolute continuity is equivalent to the epsilon-delta small-set condition)

Counterexample

technique · direct
1.1

By [L1], the measure ν is absolutely continuous with respect to λ.

L1given
2.1

Let ε:=1 and let δ>0. Put E:=(0,δ/2). Then λ(E)=δ/2<δ, but ν(E)=0δ/2dxx=+>1. So the epsilon-delta conclusion fails for this absolutely continuous sigma-finite measure.

step 1.1L2algebra
CounterexampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-08-31Open item page →

Two Radon-Nikodym derivatives can differ on a null set

Statement refuted

Assume the Axiom of Countable Choice. The Radon-Nikodym derivative is a uniquely determined function.

Facts & Assumptions

Given: Countable choice, the zero measure on (R,B(R)), and the Cantor set C.

[L1]

The Cantor set is Lebesgue measurable and Lebesgue null. (The Cantor set is an uncountable subset of R of Lebesgue measure zero)

[L2]

The integral of a nonnegative function over a null set vanishes. (A nonnegative integral over a null set vanishes)

[L3]

A Radon-Nikodym derivative is only an almost-everywhere equivalence class of representing functions. (The Radon-Nikodym derivative as an almost-everywhere equivalence class)

Counterexample

technique · direct
1.1

Let h0:=0 and h1:=χC. For every measurable set E, [L1] and [L2] give Eh1dλ=λ(EC)=0=Eh0dλ. Thus both h0 and h1 represent the zero measure relative to λ.

L1L2construct
2.1

The functions h0 and h1 are not equal pointwise because h1=1 on C, but [L3] says only almost-everywhere equality is required. Hence pointwise uniqueness fails.

step 1.1L3
CounterexampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-08-31Open item page →

Lebesgue plus counting measure has no Lebesgue decomposition relative to Lebesgue measure

Statement refuted

The measure λ ⁣[0,1]+c on [0,1] admits a Lebesgue decomposition relative to Lebesgue measure, where c is counting measure.

Facts & Assumptions

Given: The measure ν:=λ ⁣[0,1]+c on [0,1].

[L1]

Counting measure gives value 1 to every singleton. (Counting measure on an arbitrary set, Counting measure is a measure)

[L2]

A Lebesgue decomposition would have the form ν=νa+νs with νaλ and νsλ. (Every sigma-finite signed measure admits a Lebesgue decomposition relative to a sigma-finite positive measure)

Counterexample

technique · direct
1.1

Suppose ν=νa+νs were such a decomposition. For each x[0,1], absolute continuity gives νa({x})=0, so νs({x})=ν({x})=1.

L1L2assume-contraalgebra
2.1

If νsλ, then νs is concentrated on some Lebesgue-null set N. But every x[0,1]N satisfies {x}[0,1]N, so concentration would force νs({x})=0, contradicting step 1.1. Therefore no such decomposition exists.

step 1.1contradiction: concentration off a null setdischarge-contradiction
CounterexampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-08-31Open item page →

An absolutely continuous finite measure can have an unbounded Radon-Nikodym derivative

Statement refuted

Every absolutely continuous finite measure has a bounded Radon-Nikodym derivative.

Facts & Assumptions

Given: The measure ν(E)=Ex1/2χ(0,1](x)dλ(x) on R.

[L1]

A nonnegative measurable density defines a positive measure; when that measure is absolutely continuous with respect to a sigma-finite base and satisfies the common finite-exhaustion hypothesis, a density recovering all measurable-set values represents its Radon--Nikodym derivative (The measure with density f relative to μ, The Radon-Nikodym derivative as an almost-everywhere equivalence class).

[L2]

The integral over a null set vanishes (A nonnegative integral over a null set vanishes).

Counterexample

technique · direct
1.1

The density x1/2χ(0,1] is integrable on (0,1], since 01x1/2dλ=2. Therefore [L1] makes ν a finite measure, and [L2] shows that it vanishes on every Lebesgue-null set. Thus νλ; the exhaustion [n,n] verifies the remaining Radon--Nikodym hypotheses.

L1L2givenalgebra
2.1

The same density represents dν/dλ, but it is unbounded near 0. Hence a finite absolutely continuous measure need not have a bounded derivative.

step 1.1L1
False statementConstruction: Literature-sourcedVerification: AI-generatedprecheck passaudited 2026-08-31Open item page →

FALSE: every measure is absolutely continuous or singular with respect to Lebesgue measure

Statement

False claim: Every finite Borel measure on R is either absolutely continuous with respect to Lebesgue measure or singular with respect to Lebesgue measure.

Facts & Assumptions

Given: The measure ν:=λ ⁣[0,1]+μc.

[L1]

The Cantor measure μc is singular with respect to Lebesgue measure, and it is concentrated on the Cantor set C with μc(C)=1. (The Cantor measure is a singular atomless probability measure concentrated on the Cantor set)

[L2]

Lebesgue measure is the Lebesgue--Stieltjes measure of the identity (Lebesgue measure is the Lebesgue-Stieltjes measure of the identity function).

[L3]

The Lebesgue--Stieltjes measure of a nondecreasing right-continuous function F assigns (a,b] the increment F(b)F(a) (Assuming countable choice, a nondecreasing right-continuous function defines a Borel measure on R).

Refutation

technique · direct
1.1

The measure ν is not absolutely continuous with respect to λ: the Cantor set C is Lebesgue null by [L1], but ν(C)=λ(C)+μc(C)=1.

L1givenalgebra
2.1

By [L2] and [L3], λ((0,1])=1, so a Lebesgue-null set N satisfies λ((0,1]N)=1. The measure ν is therefore not singular with respect to λ: if it were concentrated on N, then 0<λ((0,1]N)ν((0,1]N), contradicting concentration on N. Thus ν is neither absolutely continuous nor singular.

step 1.1L2L3contradiction: concentration on a null setdischarge-contradiction
False statementConstruction: Literature-sourcedVerification: AI-generatedprecheck passaudited 2026-08-31Open item page →

FALSE: the Radon-Nikodym derivative is a uniquely determined function

Statement

Assume the Axiom of Countable Choice.

False claim: For νμ, the derivative dν/dμ is a uniquely determined pointwise function.

Facts & Assumptions

Given: Countable choice, the zero measure, and the Cantor set C.

[L2]

The integral over a null set vanishes. (A nonnegative integral over a null set vanishes)

[L3]

The Radon-Nikodym derivative is only an almost-everywhere equivalence class. (The Radon-Nikodym derivative as an almost-everywhere equivalence class)

Refutation

technique · direct
1.1

The functions 0 and χC both integrate to 0 over every measurable set by [L1] and [L2], so they both represent the Radon-Nikodym derivative of the zero measure with respect to Lebesgue measure.

L1L2given
2.1

These two representing functions are not equal pointwise, while [L3] allows exactly this kind of null-set discrepancy. Hence pointwise uniqueness is false.

step 1.1L3
False statementConstruction: Literature-sourcedVerification: AI-generatedprecheck passaudited 2026-08-31Open item page →

FALSE: the epsilon-delta condition characterises absolute continuity for every measure

Statement

False claim: For every signed or complex measure ν, absolute continuity νμ is equivalent to the epsilon-delta small-set condition.

Facts & Assumptions

Given: The measure ν(E)=Ex1χ(0,1)(x)dλ(x).

[L1]

This nonnegative density defines a measure (The measure with density f relative to μ), and the integral over every Lebesgue-null set vanishes (A nonnegative integral over a null set vanishes), so the measure is absolutely continuous with respect to Lebesgue measure by Absolute continuity of a signed or complex measure with respect to a positive measure.

Refutation

technique · direct
1.1

By [L1], the measure ν satisfies νλ.

L1given
2.1

With ε=1, every δ>0 fails: for E=(0,δ/2) one has λ(E)<δ but ν(E)=0δ/2dxx=+>1. Thus the epsilon-delta condition does not follow from absolute continuity in this sigma-finite but nonfinite case.

step 1.1L2algebra
False statementConstruction: Literature-sourcedVerification: AI-generatedprecheck passaudited 2026-08-31Open item page →

FALSE: the Radon-Nikodym theorem holds without sigma-finiteness

Statement

False claim: If positive measures satisfy νμ, then there is always a nonnegative measurable function f with ν(E)=Efdμ for every measurable set E, even when μ is not sigma-finite.

Facts & Assumptions

Given: Counting measure c and Lebesgue measure λ on [0,1].

[L1]

Counting measure is a measure with c({x})=1 for each point. (Counting measure on an arbitrary set, Counting measure is a measure)

[L2]

A nonnegative density representation would satisfy λ(E)=Efdc on every measurable set (The measure with density f relative to μ).

[L3]

The interval [0,1] is uncountable (Every nondegenerate interval of R is uncountable).

[L4]

Lebesgue measure is the Lebesgue--Stieltjes measure of the identity, and that measure assigns (a,b] the increment ba (Lebesgue measure is the Lebesgue-Stieltjes measure of the identity function, Assuming countable choice, a nondecreasing right-continuous function defines a Borel measure on R).

Refutation

technique · direct
1.1

Lebesgue measure is absolutely continuous with respect to counting measure on [0,1], because every counting-null measurable set is empty. Moreover, a set has finite counting measure only when it is finite. If c were sigma-finite, [0,1] would be a countable union of finite sets and hence countable, contradicting [L3]. Thus the dominating measure is not sigma-finite.

L1L3givenalgebra
2.1

If a density f as in [L2] existed, then applying it to singletons and using [L1] would give f(x)=0 for every x[0,1]. But [L4] gives λ((0,1])=1, whereas the assumed representation gives λ((0,1])=(0,1]fdc=0. Hence the theorem fails without sigma-finiteness of the dominating measure.

step 1.1L1L2L4contradiction: total mass onedischarge-contradiction
False statementConstruction: Literature-sourcedVerification: AI-generatedprecheck passaudited 2026-08-31Open item page →

FALSE: absolutely continuous measures always have bounded Radon-Nikodym derivatives

Statement

False claim: If νμ, then dν/dμ is bounded.

Facts & Assumptions

Given: The measure ν(E)=Ex1/2χ(0,1](x)dλ(x).

[L1]

A nonnegative measurable density defines a positive measure; when that measure is absolutely continuous with respect to a sigma-finite base and satisfies the common finite-exhaustion hypothesis, a density recovering all measurable-set values represents its Radon--Nikodym derivative (The measure with density f relative to μ, The Radon-Nikodym derivative as an almost-everywhere equivalence class).

[L2]

The integral over a null set vanishes (A nonnegative integral over a null set vanishes).

Refutation

technique · direct
1.1

The function x1/2χ(0,1] defines a finite measure by [L1], and [L2] makes it absolutely continuous with respect to λ. Because λ is sigma-finite and the measure is finite, the exhaustion [n,n] verifies the remaining Radon--Nikodym hypotheses. Moreover 01x1/2dλ=2.

L1L2givenalgebra
2.1

The same function is a representative of dν/dλ, and it is unbounded near 0. Therefore absolute continuity alone does not force boundedness of the derivative.

step 1.1L1

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