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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):=∫E2x χ[0,1](x) dλ(x). Then ν≪λ and dνdλ=2x χ[0,1](x)λ-almost everywhere.

Facts & Assumptions

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

[L1]

A nonnegative measurable function defines a measure by E↦∫Eh dλ. (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
1.1L1given

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

2.1step 1.1L2L3algebra∎

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)=∫Eh dλ. Therefore [L3] identifies h as a representative of dν/dλ.

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

Facts & Assumptions

Given: The measure ν=12 λ ⁣↾[0,1]+12 μc.

[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
1.1A1L1given

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

2.1step 1.1L3∎

The sets Xn=[−n,n] form a common finite exhaustion for λ and the finite measure ν. Since ν=12 λ ⁣↾[0,1]+12 μc 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.

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
1.1L1A1given

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.

2.1step 1.1L3∎

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

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):=∫E2x χ[0,1](x) dλ(x). Then dμdλ=2,dνdμ=x χ[0,1](x),dνdλ=2x χ[0,1](x), so dνdλ=dνdμdμdλλ-almost everywhere.

Facts & Assumptions

Given: The measures μ=2λ and ν(E)=∫E2x χ[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 ν≪μ≪λ hypotheses, Radon--Nikodym derivatives satisfy the chain rule (Radon-Nikodym derivatives satisfy the chain rule along nu << mu << lambda).

Verification

technique · direct
1.1L1L3given

On the measurable space [0,1], the measures λ, μ, and ν are finite, their one-set exhaustion is common, and [L3] gives ν≪μ≪λ. For every measurable set E, one has μ(E)=∫E2 dλ and ν(E)=∫E2x χ[0,1](x) dλ(x). Therefore [L1] lets us take dμ/dλ=2 and dν/dλ=2x χ[0,1].

2.1step 1.1L2algebra∎

The function x χ[0,1] satisfies ∫Ex dμ=∫E2x dλ=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 ν≪μ≪λ. Applying [L2] now yields dνdλ=dνdμdμdλ=x⋅2=2xλ-almost everywhere on [0,1].

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,x≤0,x2,0≤x≤1,1,x≥1. Let μF be the Lebesgue-Stieltjes measure of F. Then μF(E)=∫E2x χ[0,1](x) dλ(x)(E∈B(R)), so the density recovered from F is 2x χ[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
1.1L1givenalgebra

The function F is nondecreasing and right-continuous, so [L1] gives a Borel measure μF. For every a<b, direct integration shows ∫(a,b]2x χ[0,1](x) dλ(x)=F(b)−F(a), because both sides are 0 off [0,1], and on [0,1] they equal b2−a2 or the corresponding truncated interval increment.

2.1step 1.1L1L2L3L4∎

By [L3], E↦∫E2xχ[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 μF≪λ; λ is sigma-finite and [−n,n] is a common finite exhaustion. Therefore [L2] identifies 2x χ[0,1] as a representative of dμF/dλ.

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)=∫Ef dc for every measurable set E. (The measure with density f relative to μ)

Counterexample

technique · direct
1.1L1L2assume-contraalgebra

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

2.1step 1.1L2contradiction: total mass onedischarge-contradiction∎

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

CounterexampleConstruction: Literature-sourcedVerification: AI-generatedprecheck passverified 2026-09-23 (gpt-6-sol)Open item page →

x−1dλ 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)=∫Ex−1χ(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]

Under its stated Axiom of Choice, the finite-measure theorem proves the epsilon-delta criterion only under a finiteness hypothesis. This contextual observation is not used to construct the counterexample (For finite signed or complex measures, absolute continuity is equivalent to the epsilon-delta small-set condition).

Counterexample

technique · direct
1.1L1given

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

2.1step 1.1givenalgebra∎

Let ε:=1 and let δ>0. Put a:=min⁡(δ/2,1/2) and E:=(0,a)⊆(0,1). Then λ(E)=a<δ, but ν(E)=∫0adxx=+∞>1. The measure ν is sigma-finite: (0,1)=⋃m≥2(1/m,1) and every displayed interval has finite ν-mass, while ν vanishes off (0,1). Thus the epsilon-delta conclusion fails for an absolutely continuous sigma-finite measure.

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
1.1L1L2construct

Let h0:=0 and h1:=χC. For every measurable set E, [L1] and [L2] give ∫Eh1 dλ=λ(E∩C)=0=∫Eh0 dλ. Thus both h0 and h1 represent the zero measure relative to λ.

2.1step 1.1L3∎

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.

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 νa≪λ and νs⊥λ. (Every sigma-finite signed measure admits a Lebesgue decomposition relative to a sigma-finite positive measure)

Counterexample

technique · direct
1.1L1L2assume-contraalgebra

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.

2.1step 1.1contradiction: concentration off a null setdischarge-contradiction∎

If νs⊥λ, 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.

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)=∫Ex−1/2χ(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
1.1L1L2givenalgebra

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

2.1step 1.1L1∎

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

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
1.1L1givenalgebra

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.

2.1step 1.1L2L3contradiction: concentration on a null setdischarge-contradiction∎

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.

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 ν≪μ, 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
1.1L1L2given

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.

2.1step 1.1L3∎

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

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 ν≪μ is equivalent to the epsilon-delta small-set condition.

Facts & Assumptions

Given: The measure ν(E)=∫Ex−1χ(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
1.1L1given

By [L1], the measure ν satisfies ν≪λ.

2.1step 1.1L2algebra∎

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.

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 ν≪μ, then there is always a nonnegative measurable function f with ν(E)=∫Ef dμ 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)=∫Ef dc 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 b−a (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
1.1L1L3givenalgebra

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.

2.1step 1.1L1L2L4contradiction: total mass onedischarge-contradiction∎

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]f dc=0. Hence the theorem fails without sigma-finiteness of the dominating measure.

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 ν≪μ, then dν/dμ is bounded.

Facts & Assumptions

Given: The measure ν(E)=∫Ex−1/2χ(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
1.1L1L2givenalgebra

The function x−1/2χ(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 ∫01x−1/2 dλ=2.

2.1step 1.1L1∎

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.

Sources