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The Radon Nikodym Theorem and Lebesgue Decomposition — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Areas of Elementary Plane Figures
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Variation and the Riemann–Stieltjes Integral
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Lebesgue Measure on Euclidean Space
- Lebesgue-Stieltjes Measures and Distribution Functions
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Measurable Functions and Simple Approximation
- Measures and Their Basic Properties
- Metric Spaces
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Order, Zorn's Lemma, and the Axiom of Choice
- Outer Measure and the Caratheodory Extension Theorem
- Polynomial Rings, the Division Algorithm and Roots
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Sequences and Limits
- Series: Convergence and the Nonnegative Tests
- Sigma Algebras and Borel Sets
- Signed and Complex Measures Hahn and Jordan
- Simple Field Extensions and the Construction of the Complex Numbers
- Subspaces, Products, and Quotients
- Suprema and Infima
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- The Lebesgue Integral and the Convergence Theorems
- The Radon Nikodym Theorem and Lebesgue Decomposition
- The Riemann Integral in Rᵐ and Jordan Content
- The Riemann Integral: Definition and Integrability
- The Topology of Euclidean Space
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Vector Spaces, Linear Subspaces, Span and Direct Sums
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
The density on is the Radon-Nikodym derivative of its density measure
Example
Let be the measure on defined by Then and
Facts & Assumptions
Given: The measurable function .
A nonnegative measurable function defines a measure by . (The measure with density relative to )
Integrating against a density recovers the product integral. (Integrating against a density agrees with integrating the product)
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
By [L1], is a measure with density relative to , so in particular .
The measure is sigma-finite, is finite because , and is a common finite exhaustion. For every measurable , the definition of gives . Therefore [L3] identifies as a representative of .
The Lebesgue decomposition of one half Lebesgue plus one half Cantor measure
Example
Assume the Axiom of Countable Choice. Let where is the Cantor measure. Then the Lebesgue decomposition of relative to is
Facts & Assumptions
Given: The measure .
The Cantor measure is singular with respect to Lebesgue measure. (The Cantor measure is a singular atomless probability measure concentrated on the Cantor set)
The restriction is absolutely continuous with respect to because intersection with preserves Lebesgue-null sets.
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
The measure is absolutely continuous with respect to by [A1], while is singular with respect to by [L1]. Their sum is by definition.
The sets form a common finite exhaustion for and the finite measure . Since is already a decomposition into an absolutely continuous part and a singular part, [L3] forces it to be the Lebesgue decomposition of relative to .
The measure splits into discrete and absolutely continuous parts
Example
Assume the Axiom of Countable Choice. Let 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
Facts & Assumptions
Given: The finite Borel measure .
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)
The restriction is absolutely continuous with respect to .
Every finite Borel measure on 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
By [L1], is discrete. By [A1], is absolutely continuous with respect to . Their sum is , and neither summand has an atomless singular part.
Therefore the displayed decomposition has exactly the form required by [L3], and uniqueness there forces , , and .
The chain rule for Radon-Nikodym derivatives on
Example
Let on , and let Then so
Facts & Assumptions
Given: The measures and .
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).
Integrals over null sets vanish (A nonnegative integral over a null set vanishes).
Under the sigma-finiteness, common finite-exhaustion, and hypotheses, Radon--Nikodym derivatives satisfy the chain rule (Radon-Nikodym derivatives satisfy the chain rule along nu << mu << lambda).
Verification
On the measurable space , the measures , , and are finite, their one-set exhaustion is common, and [L3] gives . For every measurable set , one has and . Therefore [L1] lets us take and .
The function satisfies , so it represents . On the measurable space , all three measures are finite, the one-set exhaustion is common, and . Applying [L2] now yields
A piecewise-quadratic distribution function recovers its density
Example
Assume the Axiom of Countable Choice. Define Let be the Lebesgue-Stieltjes measure of . Then so the density recovered from is .
Facts & Assumptions
Given: The piecewise-quadratic distribution function above.
A nondecreasing right-continuous function on 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 , The interval data on determines the Borel measure uniquely).
A nonnegative measurable density defines a measure (The measure with density relative to ).
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).
Integrals over null sets vanish (A nonnegative integral over a null set vanishes).
Verification
The function is nondecreasing and right-continuous, so [L1] gives a Borel measure . For every , direct integration shows because both sides are off , and on they equal or the corresponding truncated interval increment.
By [L3], is a finite Borel measure and hence is finite on compact sets. The Lebesgue--Stieltjes measure is also finite, because has total increment . 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 ; is sigma-finite and is a common finite exhaustion. Therefore [L2] identifies as a representative of .
Counting measure on shows the dominating measure needs sigma-finiteness
Statement refuted
Lebesgue measure on has a Radon-Nikodym density with respect to counting measure on .
Facts & Assumptions
Given: Counting measure on and Lebesgue measure on .
Counting measure is a measure, and for a singleton one has . (Counting measure on an arbitrary set, Counting measure is a measure)
A density representation would mean for every measurable set . (The measure with density relative to )
Counterexample
Suppose for every measurable set . Applying this to a singleton and using [L1] gives Thus pointwise.
Step 1.1 and [L2] then give contradicting the fact that the interval has Lebesgue mass . Therefore no such density exists.
on 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 on .
A nonnegative measurable density defines a measure (The measure with density relative to ), 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 .
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
By [L1], the measure is absolutely continuous with respect to .
Let and let . Put . Then , but So the epsilon-delta conclusion fails for this absolutely continuous sigma-finite measure.
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 , and the Cantor set .
The Cantor set is Lebesgue measurable and Lebesgue null. (The Cantor set is an uncountable subset of of Lebesgue measure zero)
The integral of a nonnegative function over a null set vanishes. (A nonnegative integral over a null set vanishes)
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
Let and . For every measurable set , [L1] and [L2] give Thus both and represent the zero measure relative to .
The functions and are not equal pointwise because on , but [L3] says only almost-everywhere equality is required. Hence pointwise uniqueness fails.
Lebesgue plus counting measure has no Lebesgue decomposition relative to Lebesgue measure
Statement refuted
The measure on admits a Lebesgue decomposition relative to Lebesgue measure, where is counting measure.
Facts & Assumptions
Given: The measure on .
Counting measure gives value to every singleton. (Counting measure on an arbitrary set, Counting measure is a measure)
A Lebesgue decomposition would have the form with and . (Every sigma-finite signed measure admits a Lebesgue decomposition relative to a sigma-finite positive measure)
Counterexample
Suppose were such a decomposition. For each , absolute continuity gives , so
If , then is concentrated on some Lebesgue-null set . But every satisfies , so concentration would force , contradicting step 1.1. Therefore no such decomposition exists.
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 on .
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 relative to , The Radon-Nikodym derivative as an almost-everywhere equivalence class).
The integral over a null set vanishes (A nonnegative integral over a null set vanishes).
Counterexample
The density is integrable on , since Therefore [L1] makes a finite measure, and [L2] shows that it vanishes on every Lebesgue-null set. Thus ; the exhaustion verifies the remaining Radon--Nikodym hypotheses.
The same density represents , but it is unbounded near . Hence a finite absolutely continuous measure need not have a bounded derivative.
FALSE: every measure is absolutely continuous or singular with respect to Lebesgue measure
Statement
False claim: Every finite Borel measure on is either absolutely continuous with respect to Lebesgue measure or singular with respect to Lebesgue measure.
Facts & Assumptions
Given: The measure .
The Cantor measure is singular with respect to Lebesgue measure, and it is concentrated on the Cantor set with . (The Cantor measure is a singular atomless probability measure concentrated on the Cantor set)
Lebesgue measure is the Lebesgue--Stieltjes measure of the identity (Lebesgue measure is the Lebesgue-Stieltjes measure of the identity function).
The Lebesgue--Stieltjes measure of a nondecreasing right-continuous function assigns the increment (Assuming countable choice, a nondecreasing right-continuous function defines a Borel measure on ).
Refutation
The measure is not absolutely continuous with respect to : the Cantor set is Lebesgue null by [L1], but
By [L2] and [L3], , so a Lebesgue-null set satisfies . The measure is therefore not singular with respect to : if it were concentrated on , then contradicting concentration on . Thus is neither absolutely continuous nor singular.
FALSE: the Radon-Nikodym derivative is a uniquely determined function
Statement
Assume the Axiom of Countable Choice.
False claim: For , the derivative is a uniquely determined pointwise function.
Facts & Assumptions
Given: Countable choice, the zero measure, and the Cantor set .
The Cantor set is Lebesgue null. (The Cantor set is an uncountable subset of of Lebesgue measure zero)
The integral over a null set vanishes. (A nonnegative integral over a null set vanishes)
The Radon-Nikodym derivative is only an almost-everywhere equivalence class. (The Radon-Nikodym derivative as an almost-everywhere equivalence class)
Refutation
The functions and both integrate to 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.
These two representing functions are not equal pointwise, while [L3] allows exactly this kind of null-set discrepancy. Hence pointwise uniqueness is false.
FALSE: the epsilon-delta condition characterises absolute continuity for every measure
Statement
False claim: For every signed or complex measure , absolute continuity is equivalent to the epsilon-delta small-set condition.
Facts & Assumptions
Given: The measure .
This nonnegative density defines a measure (The measure with density relative to ), 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.
The valid theorem requires finiteness. (For finite signed or complex measures, absolute continuity is equivalent to the epsilon-delta small-set condition)
Refutation
By [L1], the measure satisfies .
With , every fails: for one has but Thus the epsilon-delta condition does not follow from absolute continuity in this sigma-finite but nonfinite case.
FALSE: the Radon-Nikodym theorem holds without sigma-finiteness
Statement
False claim: If positive measures satisfy , then there is always a nonnegative measurable function with for every measurable set , even when is not sigma-finite.
Facts & Assumptions
Given: Counting measure and Lebesgue measure on .
Counting measure is a measure with for each point. (Counting measure on an arbitrary set, Counting measure is a measure)
A nonnegative density representation would satisfy on every measurable set (The measure with density relative to ).
The interval is uncountable (Every nondegenerate interval of is uncountable).
Lebesgue measure is the Lebesgue--Stieltjes measure of the identity, and that measure assigns the increment (Lebesgue measure is the Lebesgue-Stieltjes measure of the identity function, Assuming countable choice, a nondecreasing right-continuous function defines a Borel measure on ).
Refutation
Lebesgue measure is absolutely continuous with respect to counting measure on , because every counting-null measurable set is empty. Moreover, a set has finite counting measure only when it is finite. If were sigma-finite, would be a countable union of finite sets and hence countable, contradicting [L3]. Thus the dominating measure is not sigma-finite.
If a density as in [L2] existed, then applying it to singletons and using [L1] would give for every . But [L4] gives , whereas the assumed representation gives . Hence the theorem fails without sigma-finiteness of the dominating measure.
FALSE: absolutely continuous measures always have bounded Radon-Nikodym derivatives
Statement
False claim: If , then is bounded.
Facts & Assumptions
Given: The measure .
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 relative to , The Radon-Nikodym derivative as an almost-everywhere equivalence class).
The integral over a null set vanishes (A nonnegative integral over a null set vanishes).
Refutation
The function defines a finite measure by [L1], and [L2] makes it absolutely continuous with respect to . Because is sigma-finite and the measure is finite, the exhaustion verifies the remaining Radon--Nikodym hypotheses. Moreover
The same function is a representative of , and it is unbounded near . Therefore absolute continuity alone does not force boundedness of the derivative.
Sources
- John K. Hunter, Measure Theory, Example 6.23 and Example 6.28
- Richard F. Bass, Real Analysis for Graduate Students, Proposition 13.2 discussion
- John K. Hunter, Measure Theory, Example 2.37 and §6.8
- Sheldon Axler, Measure, Integration & Real Analysis, paragraph after 9.36
- Sheldon Axler, Measure, Integration & Real Analysis, Exercise 14
- Sheldon Axler, Measure, Integration & Real Analysis, Exercise 13
- John K. Hunter, Measure Theory, Example 6.28
- Richard F. Bass, Real Analysis for Graduate Students, Chapter 13