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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Product Measures and the Fubini Tonelli Theorems
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Areas of Elementary Plane Figures
- Binary Operations, Monoids, Groups and Subgroups
- 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
- Countability Axioms and Cardinal Functions
- Determinants of Matrices over a Commutative Ring
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Finite Probability and the Probabilistic Method
- Foundations of the Real Numbers for Analysis
- Fubini and Change of Variables
- Fundamental Trigonometric Identities
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Improper and Parameter-Dependent Multiple Integrals
- Improper Integrals
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Lebesgue Measure on Euclidean Space
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- 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
- Power Series and Real-Analytic Functions
- Properties of the Integral and the Working FTC
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Separation Axioms: the Hierarchy
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Sigma Algebras and Borel Sets
- Simple Field Extensions and the Construction of the Complex Numbers
- Sine, Cosine, and the Definition of Pi
- Subspaces, Products, and Quotients
- Suprema and Infima
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- The Derivative and the Mean Value Theorems
- The Exponential Function
- The Inverse and Implicit Function Theorems
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Real Gamma and Beta Functions
- The Riemann Integral in Rᵐ and Jordan Content
- The Riemann Integral: Definition and Integrability
- The Topology of Euclidean Space
- The Total Derivative in ℝᵐ → ℝⁿ
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Vector Spaces, Linear Subspaces, Span and Direct Sums
- Volumes of Elementary Solids and Solids of Revolution
2 · Summary
This page fixes the sigma-finite product-measure route used throughout the rest of the measure-theory track: sections, the measurable-set and functional forms of Tonelli and Fubini, the completed-product weakening, the Euclidean product identifications, and the geometric payoffs that later pages reuse.
The false statements isolate the exact hypotheses that do real work: sigma-finiteness for uniqueness and Tonelli, absolute integrability for Fubini, completion for pointwise section measurability, and second countability for the Euclidean Borel-product identification.
3 · Logical flowchart
4 · Definitions, theorems and proofs
Measurable rectangles in a product of measurable spaces
Definition
Let and be measurable spaces. A subset of is a measurable rectangle if it has the form with and .
The ambient sigma-algebras matter: the same set may be a measurable rectangle for one pair and not for another.
The product sigma-algebra and its finite iterates
Definition
Let and be measurable spaces. Their product sigma-algebra is
the sigma-algebra on generated by the measurable rectangles of Measurable rectangles in a product of measurable spaces.
For the empty family, put and define its empty product sigma-algebra by
For a nonempty finite family of measurable spaces with , the finite product sigma-algebra is defined recursively by
This recursive definition is the finite base case used later when the library passes to countable product constructions.
Finite disjoint unions of measurable rectangles form an algebra generating the product sigma-algebra
Statement
Let and be measurable spaces. The family of finite disjoint unions of measurable rectangles in is an algebra of subsets of , and it generates .
Facts & Assumptions
Given: Measurable spaces and .
A measurable rectangle has the form with and . (Measurable rectangles in a product of measurable spaces)
The product sigma-algebra is the sigma-algebra generated by the measurable rectangles. (The product sigma-algebra and its finite iterates)
For rectangles, and
If for , take the nonempty Boolean atoms generated by in and by in . The products of an -atom and a -atom are finitely many pairwise disjoint measurable rectangles partitioning , and each , hence also , is the union of a subfamily of these product atoms.
Proof
By [L1] and [A1], the intersection of two measurable rectangles is again a measurable rectangle, and the complement of a measurable rectangle is a finite union of measurable rectangles.
Let be the family of finite disjoint unions of measurable rectangles. It contains and . If , then [A2] disjointifies the finite union into finitely many pairwise disjoint measurable rectangles, so . Likewise belongs to by step 1.1. Thus is an algebra.
Every measurable rectangle belongs to , so [L2] gives The reverse inclusion holds because every member of is a finite union of measurable rectangles and hence lies in . Therefore , and is an algebra generating the product sigma-algebra.
The product measure can also be constructed from the rectangle algebra by Caratheodory extension
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). The page's main theorem chain defines the sigma-finite product measure through sections and iterated integrals. There is a second standard construction. Its additional input is the separate verification, carried out in the references above, that the rectangle rule extends consistently to a premeasure on the algebra of Finite disjoint unions of measurable rectangles form an algebra generating the product sigma-algebra. Once that premeasure has been established, Assuming countable choice, a premeasure extends through its induced outer measure extends it to the generated product sigma-algebra; the extension theorem does not itself supply the premeasure verification.
When the rectangle premeasure is sigma-finite, Assuming countable choice, the Carathéodory domain is the completion of the sigma-finite extension identifies the full Caratheodory domain with the completion of that generated extension. Uniqueness of the product measure itself is supplied separately by the main product-measure theorem later on this page, not by either cited Caratheodory result.
Sections E_x, E^y, f_x, and f^y on a product
Definition
Let . For and , the horizontal and vertical sections of are
If is a function, its sections are
The notation remembers which variable has been frozen: the subscript freezes , while the superscript freezes .
Every section of a product-measurable set is measurable
Statement
Let and be measurable spaces. If , then for every and for every .
Facts & Assumptions
Given: Measurable spaces and , and a set .
The product sigma-algebra is generated by the measurable rectangles. (The product sigma-algebra and its finite iterates)
The generated sigma-algebra is the smallest sigma-algebra containing the generating family. (Nonempty intersections of sigma-algebras are sigma-algebras, so the generated sigma-algebra exists and is minimal)
For fixed , and for fixed ,
For fixed , and the analogous formulas hold for vertical sections.
Proof
Fix and let be the family of sets such that . By [A1], every measurable rectangle belongs to . By [A2], is a sigma-algebra on . Since [L1] says is generated by the measurable rectangles, [L2] gives . Therefore .
Fix and let be the family of sets such that . The same argument shows that is a sigma-algebra containing all measurable rectangles, hence all of . Therefore . Since and were arbitrary, every horizontal and vertical section of is measurable.
Every section of a product-measurable function is measurable
Statement
Let and be measurable spaces, and let be -measurable. Then is -measurable for every , and is -measurable for every .
Facts & Assumptions
Given: Measurable spaces and , and a product-measurable function .
A function into is measurable once the preimages of a generating family for are measurable. (A generating family on the codomain suffices to test measurability)
Sections of product-measurable sets are measurable. (Every section of a product-measurable set is measurable)
For every Borel set ,
Proof
Fix and let be a generating family for . For each , the set is product-measurable, so [L2] and [A1] give . By [L1], is therefore -measurable.
Fix . The same argument gives for every generator , so [L1] implies that is -measurable. Thus every horizontal and vertical section of is measurable.
FALSE: if every horizontal and vertical section is measurable, then the set is product-measurable
Statement
If has measurable horizontal sections for every and measurable vertical sections for every , then .
Facts & Assumptions
Given: Assume the Axiom of Countable Choice. Let be the set of countable ordinals, let be the sigma-algebra of countable and cocountable subsets of , and let
Every section of a product-measurable set is measurable. (Every section of a product-measurable set is measurable)
A sigma-algebra is closed under complements and countable unions, and under countable choice a countable union of countable sets is countable. (Sigma-algebras, The Axiom of Countable Choice (), Countable unions of at most countable sets, assuming )
For sigma-finite measures, the two iterated section-measure integrals of a product-measurable set agree. (For sigma-finite measures, the two section-measure integrals of a measurable set agree)
Define on by for countable and for cocountable . The same countable-union argument as in [L2] shows that is a finite measure on .
Refutation
For each , the section is countable by the choice of , hence measurable for . For each , the section has countable complement , hence is cocountable and measurable.
Suppose for contradiction that were product-measurable for . Since , the measure is finite and hence sigma-finite, so [L3] would give But step 1.1 makes for every and for every , so the two sides are and , a contradiction. Therefore is not product-measurable, even though all of its sections are measurable. This does not contradict [L1], which proves only the forward implication from product-measurability to section measurability.
For sigma-finite measures, the section-measure functions are measurable
Statement
Let and be sigma-finite measure spaces, and let . Then the functions
are measurable from and into .
Facts & Assumptions
Given: Sigma-finite measure spaces and , and a set .
Finite disjoint unions of measurable rectangles form an algebra that generates . (Finite disjoint unions of measurable rectangles form an algebra generating the product sigma-algebra)
If an algebra generates a sigma-algebra, then its monotone class is that same sigma-algebra. (The monotone class generated by an algebra equals the sigma-algebra it generates)
Pointwise monotone limits of measurable functions are measurable. (Sequential suprema, infima, limsup, liminf, and pointwise limits of measurable functions are measurable)
Since is sigma-finite, there are measurable sets with for every . Likewise there are measurable with .
If , then and for every . If , then , and continuity from above on the finite-measure space gives .
Proof
Fix and let be the family of sets for which is -measurable. If is a measurable rectangle, then so . By [A2], is a monotone class. Hence [L1] and [L2] imply that every product-measurable set lies in .
Applying step 1.1 to the given set shows that is measurable for every . Because , one has for each , so [L3] gives measurability of .
The same argument with the finite-measure exhaustion shows that is measurable. Therefore both section-measure functions are measurable.
For sigma-finite measures, the two section-measure integrals of a measurable set agree
Statement
Let and be sigma-finite measure spaces, and let . Then
Facts & Assumptions
Given: Sigma-finite measure spaces and , and a set .
The section-measure functions and are measurable. (For sigma-finite measures, the section-measure functions are measurable)
Finite disjoint unions of measurable rectangles form an algebra generating . (Finite disjoint unions of measurable rectangles form an algebra generating the product sigma-algebra)
The monotone class generated by an algebra coincides with the generated sigma-algebra. (The monotone class generated by an algebra equals the sigma-algebra it generates)
Monotone convergence allows integrals of increasing nonnegative functions to pass to the limit. (Monotone convergence for the integral)
Since and are sigma-finite, there are measurable exhaustions and with .
Proof
Fix . Let be the family of measurable subsets such that If , then for and otherwise, so both integrals equal . Finite additivity gives the same equality for the algebra of [L2].
If inside , then [L1] and [L4] give and similarly on . Thus is a monotone class. By [L2] and [L3], every measurable subset of belongs to .
Put . Step 1.2 gives Now for and otherwise, so as the two integrands increase pointwise to and .
Applying [L4] on both sides of step 2.1 and then letting gives This is the claimed equality.
The product measure of two sigma-finite measure spaces
Definition
Let and be sigma-finite measure spaces. For , define
The two displayed integrals are well-defined by For sigma-finite measures, the section-measure functions are measurable and equal by For sigma-finite measures, the two section-measure integrals of a measurable set agree. This is the product measure of and .
For sigma-finite factors, the product measure exists, has the rectangle formula, is sigma-finite, and is unique
Statement
Let and be sigma-finite measure spaces. Then:
- the set function of The product measure of two sigma-finite measure spaces is a measure on ;
- for measurable rectangles,
- the measure is sigma-finite; and
- it is the unique measure on with the rectangle formula.
Facts & Assumptions
Given: Sigma-finite measure spaces and .
For every product-measurable set , (The product measure of two sigma-finite measure spaces)
Monotone convergence passes increasing limits through nonnegative integrals. (Monotone convergence for the integral)
A measure is determined by its values on a sigma-finite generating pi-system. (Measures agreeing on a generating pi-system are equal under an increasing finite-measure exhaustion from that pi-system)
Measurable rectangles form a pi-system that generates .
Since and are sigma-finite, there are measurable exhaustions and with .
Proof
If is a measurable rectangle, then so This is the rectangle formula.
Let be pairwise disjoint measurable subsets of , and put . Then is a disjoint union, so for every . Therefore Since , [L2] gives Thus is a measure.
By [A2] and step 1.1, each rectangle has finite product measure and Hence is sigma-finite.
Let be another measure on with the same rectangle formula. Step 1.1 shows that and agree on the generating pi-system of measurable rectangles, and step 2.1 gives the required sigma-finite exhaustion. Therefore [L3] implies on all of . This proves existence, the rectangle formula, sigma-finiteness, and uniqueness.
FALSE: the rectangle formula determines a unique product measure without any sigma-finiteness hypothesis
Statement
For arbitrary measure spaces, any two measures on that agree on every measurable rectangle must agree everywhere.
Facts & Assumptions
Given: Lebesgue measure on , counting measure on , the diagonal , and the two measures on the same product sigma-algebra supplied by the standard non-sigma-finite Lebesgue/counting construction in the listed Tao source, with on measurable rectangles and .
Under sigma-finiteness, the rectangle formula does determine a unique product measure. (For sigma-finite factors, the product measure exists, has the rectangle formula, is sigma-finite, and is unique)
Refutation
The witness in the Given line satisfies exactly the hypothesis of the displayed claim: and are measures on the same product sigma-algebra and agree on every measurable rectangle.
The same witness also satisfies , so . Hence the displayed universal uniqueness claim is false. This shows why the sigma-finiteness hypothesis in [L1] is essential.
Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
Statement
Let and be sigma-finite measure spaces, and let be product-measurable. Then and are measurable, and
Facts & Assumptions
Given: Sigma-finite measure spaces and , and a product-measurable function .
Sections of a product-measurable function are measurable. (Every section of a product-measurable function is measurable)
For a measurable set , the indicator function satisfies (For sigma-finite measures, the two section-measure integrals of a measurable set agree)
Every nonnegative measurable function admits an increasing sequence of nonnegative simple functions converging pointwise to it. (Every nonnegative measurable function admits an explicit increasing sequence of simple approximations)
Monotone convergence passes increasing limits through the integral. (Monotone convergence for the integral)
Proof
If is a nonnegative simple function, write with and measurable sets . Applying [L2] to each indicator and summing yields The inner integral functions are measurable because the same is true for each and simple combinations preserve measurability.
Choose simple functions by [L3]. Then for each and one has and , so [L4] gives Applying [L4] once more to the equalities of step 1.1 yields the stated measurability and the equality of all three integrals.
FALSE: Tonelli's theorem still holds without any sigma-finiteness hypothesis
Statement
For arbitrary measure spaces, every nonnegative product-measurable function satisfies Tonelli's theorem.
Facts & Assumptions
Given: Lebesgue measure on , counting measure on , the diagonal , and the indicator function .
Tonelli's theorem holds on sigma-finite product spaces. (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product)
Counting measure on the uncountable set is not sigma-finite in the sense of Finite, sigma-finite, and semifinite measures.
For every , the diagonal sections are and .
Refutation
The diagonal is closed in , so is a nonnegative measurable function; by [A1], it lives on a product space outside the sigma-finite scope of [L1].
For fixed , [A2] gives , so
For fixed , [A2] gives , so
Steps 1.2 and 1.3 give unequal iterated integrals for the same nonnegative measurable function on a non-sigma-finite product space. Hence the displayed universal claim is false, and [L1] cannot be extended by simply deleting sigma-finiteness.
Fubini's theorem for L^1 functions on a sigma-finite product
Statement
Let and be sigma-finite measure spaces, and let belong to . Then:
- for -almost every , the section belongs to ;
- for -almost every , the section belongs to ;
- after assigning the value on the exceptional parameter sets, the section-integral functions are integrable; and
- the three integrals agree:
Facts & Assumptions
Given: Sigma-finite measure spaces and , and a function .
Tonelli's theorem holds for nonnegative measurable functions on . (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product)
A complex-valued function belongs to exactly when its absolute value has finite integral. (The class of integrable functions)
The Lebesgue integral is linear on . (The Lebesgue integral is linear on )
The triangle inequality gives for every integrable function . (The modulus of an integral is bounded by the integral of the modulus)
Proof
By [L2], the function is nonnegative measurable, and [L1] gives Therefore for -almost every , so for -almost every . The same argument with the variables reversed gives for -almost every and shows that the section integrals of are integrable.
For almost every from step 1.1, [L4] gives Define the section integral to be on the exceptional null set where . The right-hand side is integrable over by step 1.1, so this extended section-integral function is integrable. The same convention and conclusion hold for .
Write , where are the positive and negative parts of the real and imaginary parts of . Each of is integrable because . Applying [L1] to these four nonnegative functions and recombining with [L3] yields the stated equality of the three integrals.
To use Fubini safely, first use Tonelli on |f|
The safe workflow is:
- apply Tonelli's theorem for nonnegative measurable functions on a sigma-finite product to ;
- check that the resulting iterated integral is finite; then
- invoke Fubini's theorem for L^1 functions on a sigma-finite product.
This is the point of the absolute-integrability hypothesis in Fubini's theorem. Without it, the iterated integrals may exist separately and still disagree.
The completed product measure
Definition
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). Let and be sigma-finite measure spaces. The completed product measure is the completion of the measure on :
Its sigma-algebra consists of sets that differ from an -measurable set by a subset of a -null set, exactly as in The completion domain and proposed completed set function of a measure space.
Tonelli and Fubini for the completed product, with only almost-everywhere section measurability
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()), and let be the completed product of two sigma-finite measure spaces.
- If is -measurable, then for -almost every the section is -measurable, for -almost every the section is -measurable, and
- If , the same almost-everywhere section-measurability conclusion holds and the same equality of integrals is valid.
Facts & Assumptions
Given: The Axiom of Countable Choice, two sigma-finite measure spaces, their completed product , and either a nonnegative -measurable function or an integrable function .
Assuming countable choice, a function measurable for a completion is almost everywhere equal to one measurable for the original sigma-algebra. (A function measurable for a completion is almost everywhere equal to one measurable for the original sigma-algebra)
Tonelli and Fubini hold on the uncompleted product sigma-algebra. (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product, Fubini's theorem for L^1 functions on a sigma-finite product)
The integral is unchanged by almost-everywhere equality. (Two integrable functions are equal almost everywhere exactly when all of their indefinite integrals agree)
On a complete measure space, almost-everywhere equality with a measurable function implies measurability. (On a complete measure space, equality almost everywhere preserves measurability)
Integrable complex functions have integrable real and imaginary parts. (Integrable real and complex functions, and their integrals)
Proof
By [L1], choose a product-measurable function such that almost everywhere for . Let , so . By the completion definition, choose a product-measurable null set with .
Apply the nonnegative case of [L2] to . Since [L2] gives , Tonelli yields Hence for -almost every and for -almost every . Because and , the equalities and fail only on null sections of the completed factor spaces. For such , the section is almost everywhere equal to the measurable section , so [L4] makes -measurable; similarly for .
In the nonnegative case, apply Tonelli from [L2] to . Since almost everywhere on the complete product space, the completed integral of equals that of , and the section integrals agree for the almost-everywhere parameters isolated in step 1.2. This proves part 1.
If , apply [L1] separately to and . This gives product-measurable real-valued functions such that and almost everywhere. Put . Then is product-measurable, almost everywhere, and [L3] applied to and shows . The case of [L2] applies to , step 1.2 transfers the almost-everywhere section measurability from to , and [L3] transfers the equality of integrals from to . This proves part 2.
FALSE: every section of a completed-product measurable function is measurable
Statement
If is measurable for the completed product , then is measurable for every and is measurable for every .
Facts & Assumptions
Given: Lebesgue measure on , a non-Lebesgue-measurable set , the set , and the indicator function .
For completed products, section measurability is guaranteed only for almost every parameter. (Tonelli and Fubini for the completed product, with only almost-everywhere section measurability)
The completed product sigma-algebra contains every subset of a -null set. (The completed product measure)
On measurable rectangles, the product measure satisfies . (For sigma-finite factors, the product measure exists, has the rectangle formula, is sigma-finite, and is unique)
Refutation
For each , the rectangle satisfies by [L3], so is -null.
Because , [L2] puts in the completed product sigma-algebra, so is measurable for the completed product.
The section at is , which is not measurable because is not Lebesgue measurable. Thus the displayed claim fails even though is measurable for the completed product, and [L1] is sharp.
The Borel product of R^m and R^n is the Borel sigma-algebra of R^{m+n}
Statement
Let . Under the identification one has
Facts & Assumptions
Given: Positive integers and the identification .
The Borel sigma-algebra on a topological space is the sigma-algebra generated by its open sets. (The Borel sigma-algebra of a topological space)
Continuous maps pull Borel sets back to Borel sets. (A continuous map has Borel preimages of Borel sets)
The coordinate projections and are continuous.
Every open set in is a countable union of open rectangles with and open.
Proof
If and are Borel, then so [L2] makes Borel in . Therefore every measurable rectangle for belongs to , and hence
By [A2], every open set in is a countable union of open rectangles, hence belongs to . Since [L1] says a Borel sigma-algebra is generated by the open sets, this gives the reverse inclusion. Combining with step 1.1 proves the equality.
The equality B(X) tensor B(Y) = B(X x Y) needs second countability
The proof of The Borel product of R^m and R^n is the Borel sigma-algebra of R^{m+n} uses the fact that every open subset of the product is a countable union of open rectangles. That countable basis input is exactly where second countability enters. Without it, can be strictly smaller than .
On Borel subsets of R^{m+n}, the product lambda_m times lambda_n agrees with lambda_{m+n}
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). Let . Under the identification the product measure and the Euclidean Lebesgue measure agree on every Borel subset of .
Facts & Assumptions
Given: The Axiom of Countable Choice, positive integers , and the identification .
The Borel sigma-algebra on is . (The Borel product of R^m and R^n is the Borel sigma-algebra of R^{m+n})
The product measure on sigma-finite spaces exists and satisfies the rectangle formula. (For sigma-finite factors, the product measure exists, has the rectangle formula, is sigma-finite, and is unique)
Assuming countable choice, Lebesgue measure of a box is the product of its side lengths. (A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included)
Assuming countable choice, Lebesgue measure is sigma-finite and finite on bounded sets. (Lebesgue measure is sigma-finite, and every metrically bounded subset of has finite outer measure)
Two measures that agree on a sigma-finite generating pi-system agree on the generated sigma-algebra. (Measures agreeing on a generating pi-system are equal under an increasing finite-measure exhaustion from that pi-system)
Rational half-open boxes in form a sigma-finite generating pi-system for .
Proof
Let be a rational half-open box. Split it as with and . Then step 2 of [L2] and [L3] give
By [L4], both measures are sigma-finite on the pi-system of [A1]. Step 1.1 shows that they agree there, and [L1] identifies the generated sigma-algebra with . Therefore [L5] implies on every Borel set.
The Euclidean Lebesgue measure is the completion of the product of the factor Lebesgue measures
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). Let . Under the identification the Lebesgue measure is the completion of the product measure .
Facts & Assumptions
Given: The Axiom of Countable Choice and positive integers .
On Borel sets, agrees with . (On Borel subsets of R^{m+n}, the product lambda_m times lambda_n agrees with lambda_{m+n})
Assuming countable choice, the full Lebesgue sigma-algebra is the completion of the Borel Lebesgue measure. ( is exactly the completion of the restriction of to the Borel sets)
For sigma-finite factors, the product measure is the unique measure on the product sigma-algebra with the rectangle formula. (For sigma-finite factors, the product measure exists, has the rectangle formula, is sigma-finite, and is unique)
Assuming countable choice, Euclidean Lebesgue measure is sigma-finite. (Lebesgue measure is sigma-finite, and every metrically bounded subset of has finite outer measure)
Assuming countable choice, Euclidean Lebesgue measure is complete. (Assuming countable choice, is a sigma-algebra containing every elementary set and is a complete measure extending elementary volume)
The completed product measure is the completion of the product measure. (The completed product measure)
Proof
Let and . By [L2], choose Borel cores and Borel null hulls such that and . The slabs and are Euclidean null: for example, , and [L1], [L3], and [L4] give Euclidean measure to each Borel rectangle in this union. Since [L2] makes Euclidean Lebesgue measurable.
Step 1.1 puts every measurable rectangle in , so . Let be the restriction of to this product sigma-algebra. For the rectangle in step 1.1, completeness [L5] and the null symmetric difference give ; [L1] and [L2] identify this with . Thus has the product rectangle formula. By [L4] the factors are sigma-finite, so uniqueness in [L3] gives .
Because the product sigma-algebra is contained in the complete Euclidean Lebesgue sigma-algebra and the measures agree there by step 2.1, its completion is contained in . Conversely, if , [L2] gives a Borel and a Borel null set with . The Borel sets belong to the product sigma-algebra, and [L1] and step 2.1 give . Hence belongs to the completion of the product measure. The domains and measures therefore coincide, which is exactly the completion claim of [L6].
FALSE: the product of two complete measure spaces is complete
Statement
If and are complete measure spaces, then the product measure space is complete.
Facts & Assumptions
Given: Lebesgue measure on , a non-Lebesgue-measurable set , the set , and the line .
The completed product measure is generally a genuine completion of the uncompleted product measure. (The Euclidean Lebesgue measure is the completion of the product of the factor Lebesgue measures)
Every section of a product-measurable set is measurable. (Every section of a product-measurable set is measurable)
On measurable rectangles, the product measure satisfies . (For sigma-finite factors, the product measure exists, has the rectangle formula, is sigma-finite, and is unique)
Refutation
For each , the rectangle satisfies by [L3], so is -null.
Because , [L1] makes Lebesgue measurable in .
If belonged to , its horizontal section at would be , which is not Lebesgue measurable, contradicting [L2]. Thus the product sigma-algebra misses a subset of a product-null set, so the product of two complete Lebesgue spaces need not be complete. This is exactly why [L1] needs an actual completion step.
FALSE: the product Lebesgue sigma-algebra is the full Euclidean Lebesgue sigma-algebra
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). For all ,
Facts & Assumptions
Given: The Axiom of Countable Choice, Lebesgue measure on , a non-Lebesgue-measurable set , the set , and the line .
The Euclidean Lebesgue measure is the completion of the product measure. (The Euclidean Lebesgue measure is the completion of the product of the factor Lebesgue measures)
Every section of a product-measurable set is measurable. (Every section of a product-measurable set is measurable)
On measurable rectangles, the product measure satisfies . (For sigma-finite factors, the product measure exists, has the rectangle formula, is sigma-finite, and is unique)
Refutation
For each , the rectangle satisfies by [L3], so is -null.
Because , [L1] makes Lebesgue measurable in .
If the displayed equality were true, then would belong to . But then [L2] would force the horizontal section to be Lebesgue measurable, a contradiction. Therefore the product sigma-algebra is strictly smaller than the full Euclidean Lebesgue sigma-algebra. The correct statement is the completion statement of [L1].
The region under a nonnegative measurable function is product-measurable and has measure equal to the integral
Statement
Let be a sigma-finite measure space, let be Lebesgue measure on , and let be measurable. Then
belongs to and
Facts & Assumptions
Given: A sigma-finite measure space and a measurable function .
Tonelli's theorem holds for the sigma-finite product . (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product)
Arithmetic operations preserve measurability. (Arithmetic and lattice operations preserve measurability whenever they are defined)
Proof
The function is measurable by [L2], so is product-measurable.
For fixed , the section of is whose one-dimensional Lebesgue measure is exactly , including the cases and . Applying [L1] to therefore gives This is the claimed area formula.
The graph of a measurable function R^n to R is Lebesgue null
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). Let and let be Lebesgue measurable. Then its graph is Lebesgue measurable and has -dimensional Lebesgue measure zero.
Facts & Assumptions
Given: The Axiom of Countable Choice, a positive integer , and a Lebesgue measurable function .
Arithmetic operations preserve measurability. (Arithmetic and lattice operations preserve measurability whenever they are defined)
Tonelli's theorem holds on sigma-finite products. (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product)
Assuming countable choice, countable subsets of Euclidean space are Lebesgue null. (Every at most countable subset of is Lebesgue null; in particular )
Proof
The function is measurable by [L1], so is measurable.
For each , the section is the singleton , which is countable and therefore Lebesgue null by [L3]. Applying [L2] to yields Hence the graph is Lebesgue null.
The distribution function of absolute value
Definition
Let be a measure space and let be measurable. The distribution function of is the map defined by
This is the tail function that appears in the layer-cake formula.
For 0 < p < infinity, the layer-cake formula computes the integral of |f|^p from the distribution function
Statement
Let be a measure space, let be measurable, and let . Then where either side may be .
Facts & Assumptions
Given: A measurable function and a real number .
The distribution function is . (The distribution function of absolute value)
The derivative of is on , and the fundamental theorem of calculus recovers by integrating that derivative. (Continuity and derivatives of positive-base real powers, The second fundamental theorem: if is differentiable on with and is integrable, then )
Every nonnegative measurable function admits increasing simple approximations. (Every nonnegative measurable function admits an explicit increasing sequence of simple approximations)
Monotone convergence passes increasing limits through the integral. (Monotone convergence for the integral)
Proof
Fix . By [L2],
Let be a nonnegative simple function, with the sets pairwise disjoint and the coefficients . Then Using step 1.1 for each coefficient and exchanging the resulting finite sum with the real integral gives
By [L3], choose simple functions . Then , and for each one has , hence by [L1]. Applying [L4] first on and then on to the identities from step 2.1 yields
The polar surface set function on the unit sphere
Definition
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). Fix and write Let This map is continuous. If is Borel, then is Borel and is Borel in by A continuous map has Borel preimages of Borel sets, hence Borel in by The Borel sigma-algebra of a subspace is the trace of the ambient Borel sigma-algebra. It is therefore Lebesgue measurable by Assuming countable choice, every Borel subset of is Lebesgue measurable. Define
The next theorem proves that this is a Borel measure on and that it is exactly the surface measure needed for polar coordinates.
Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). Let , let be the unit sphere, and let be the set function of The polar surface set function on the unit sphere. Then is a finite Borel measure on , and for every Borel measurable , Moreover, is the unique Borel measure on with this property.
Facts & Assumptions
Given: The Axiom of Countable Choice, a positive integer , and a Borel measurable function .
The set function is defined by for Borel . (The polar surface set function on the unit sphere)
Linear dilations scale Lebesgue measure by the determinant. (A linear map of sends Lebesgue measurable sets to Lebesgue measurable sets, with when is invertible and Lebesgue null when it is not)
Two measures that agree on a sigma-finite generating pi-system agree on the generated sigma-algebra. (Measures agreeing on a generating pi-system are equal under an increasing finite-measure exhaustion from that pi-system)
Tonelli's theorem turns equality of measures on sets into the corresponding equality of nonnegative integrals. (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product)
Assuming countable choice, bounded subsets of Euclidean space have finite outer measure. (Lebesgue measure is sigma-finite, and every metrically bounded subset of has finite outer measure)
Let be . This map is continuous, so defines a measure on the Borel subsets of .
Sets of the form with and Borel form a sigma-finite generating pi-system for the Borel sigma-algebra of .
Proof
For Borel put . By [A1], each is Borel. If is pairwise disjoint, then the sets are pairwise disjoint and , so countable additivity of makes a Borel measure. It is finite because by [L5].
For Borel and , [L1] gives . The dilation has determinant , so [L2] gives Therefore
Step 2.1 shows that and the product measure agree on the generating pi-system of [A2]. Both are sigma-finite there, so [L3] implies that they agree on every Borel subset of . Applying [L4] to this measure identity gives the stated polar-coordinate integral formula for every nonnegative Borel measurable . If is another Borel measure on with the same integral formula, apply that formula to , where . Then so by [L1]. Thus , proving uniqueness.
Polar coordinates recover the published ball-volume and Gaussian formulas
Assuming the Axiom of Countable Choice required by Polar coordinates decompose Lebesgue measure into r^{n-1} dr d sigma, applying the polar formula to radial indicators recovers the published volume formulas The closed form for the volume of the unit -ball and The volume of a radius- closed -ball is . The cited The plane Gaussian integral equals by polar coordinates is instead an earlier instance of the same polar method; the present theorem subsumes that two-dimensional calculation rather than providing an independent Gamma-function route to it.
This page records the bridge, not a duplicate proof of those already-published closed forms.
A C^1 diffeomorphism maps Lebesgue null sets to Lebesgue null sets
Statement
Let be open and let be a diffeomorphism. If is Lebesgue null, then is Lebesgue null.
Facts & Assumptions
Given: Open sets , a diffeomorphism , and a null set .
Lipschitz self-maps of Euclidean space send null sets to null sets. (A Lipschitz map sends null sets to null sets)
Lebesgue measure is countably subadditive. (Finite and countable subadditivity of measures)
There are closed cubes with such that for each there is a Lipschitz map agreeing with on . This is the standard cube-and-clamp construction: choose an open cube whose closure still lies in , use continuity of there to get a derivative bound and hence a Lipschitz bound on that cube, then compose with the coordinatewise clamp onto the cube to obtain a global Lipschitz extension.
Proof
Write using [A1]. Each set is null, and the global Lipschitz extension from [A1] agrees with on . Therefore [L1] gives for every .
Since , [L2] implies Hence is Lebesgue null.
A C^1 diffeomorphism maps Lebesgue measurable sets to Lebesgue measurable sets
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). Let be open and let be a diffeomorphism. If is Lebesgue measurable, then is Lebesgue measurable.
Facts & Assumptions
Given: The Axiom of Countable Choice, open sets , a diffeomorphism , and a Lebesgue measurable set .
A diffeomorphism maps null sets to null sets. (A C^1 diffeomorphism maps Lebesgue null sets to Lebesgue null sets)
Assuming countable choice, every Lebesgue measurable set is a Borel set up to a null modification. ( is exactly the completion of the restriction of to the Borel sets)
Continuous preimages of Borel sets are Borel. (A continuous map has Borel preimages of Borel sets)
Proof
By [L2], write with Borel and contained in a null set. Since is continuous, [L3] implies that is Borel. Also [L1] makes null.
Therefore is a Borel set union a null set, hence Lebesgue measurable by [L2].
The published Riemann change-of-variables theorem already gives the Lebesgue formula for continuous compactly supported integrands
Statement
Let be open and let be a diffeomorphism. If is continuous and compactly supported, then
Facts & Assumptions
Given: Open sets , a diffeomorphism , and a continuous compactly supported function .
The published Riemann change-of-variables theorem holds for compactly supported integrands. (A compactly supported Riemann integrand admits the global change-of-variables formula from a diffeomorphism near the relevant compact preimage)
On Jordan measurable compact sets, the Riemann and Lebesgue integrals agree. (Lebesgue outer measure is at most Jordan outer content, and a bounded Jordan measurable set is Lebesgue measurable with Lebesgue measure equal to its Jordan content)
Proof
Because has compact support inside , there is a compact Jordan set containing . Then vanishes on , so both integrals in the statement reduce to integrals over and .
The Riemann theorem [L1] applies on these compact sets, and [L2] identifies those Riemann integrals with the corresponding Lebesgue integrals. Therefore the displayed Lebesgue change-of-variables formula holds.
A C^1 diffeomorphism satisfies the change-of-variables formula for nonnegative Lebesgue measurable functions
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). Let be open and let be a diffeomorphism. For every nonnegative Lebesgue measurable ,
Facts & Assumptions
Given: The Axiom of Countable Choice, open sets , a diffeomorphism , and a nonnegative Lebesgue measurable function .
The formula already holds for continuous compactly supported integrands. (The published Riemann change-of-variables theorem already gives the Lebesgue formula for continuous compactly supported integrands)
Monotone convergence passes increasing limits through the integral. (Monotone convergence for the integral)
Every nonnegative measurable function admits increasing simple approximations. (Every nonnegative measurable function admits an explicit increasing sequence of simple approximations)
Assuming countable choice, Lebesgue measurable sets are Borel up to null sets, and preserves both null sets and Lebesgue measurability. ( is exactly the completion of the restriction of to the Borel sets, A C^1 diffeomorphism maps Lebesgue null sets to Lebesgue null sets, A C^1 diffeomorphism maps Lebesgue measurable sets to Lebesgue measurable sets)
The class of Borel sets for which is a monotone class containing the open rectangles of .
Proof
By [L1], the change-of-variables formula holds for continuous compactly supported functions. Approximating indicators of open rectangles from below by such functions and using [L2] shows that the set formula of [A1] holds for open rectangles. Because the class in [A1] is a monotone class, the monotone class theorem extends the set formula to all Borel sets in .
Let be a nonnegative simple Lebesgue measurable function. By [L4], replace each by a Borel set differing from it only by a null set. The set formula from step 1.1 and null-set invariance in [L4] then give the change-of-variables formula for .
Choose simple functions by [L3]. Step 2.1 applies to each , and [L2] lets on both sides. This yields the formula for .
A C^1 diffeomorphism satisfies the change-of-variables formula for L^1 functions
Statement
Let be open and let be a diffeomorphism. If belongs to , then
Facts & Assumptions
Given: Open sets , a diffeomorphism , and a function .
The change-of-variables formula holds for nonnegative measurable functions. (A C^1 diffeomorphism satisfies the change-of-variables formula for nonnegative Lebesgue measurable functions)
The Lebesgue integral is linear on . (The Lebesgue integral is linear on )
Proof
Write , where are the positive and negative parts of the real and imaginary parts of . Since , all four functions are integrable and nonnegative.
Apply [L1] to and recombine the four resulting equalities by [L2]. This yields the stated formula for .
Finite product measures are the base case for countable product constructions
The finite product construction is the library's base case for later countable product arguments. Associativity of the finite product means one can speak unambiguously about , but this page does not infer any Kolmogorov-extension theorem or infinite-product measure from that finite fact alone.
5 · Examples, counterexamples and false statements
None yet.
Sources
- John K. Hunter, Measure Theory, Section 5.1
- John K. Hunter, Measure Theory, paragraph before Definition 5.10
- John K. Hunter, Measure Theory, Proposition 5.11 and Definitions 5.12-5.13
- Terence Tao, An Introduction to Measure Theory, Section 1.7.3
- John K. Hunter, Measure Theory, Section 5.1 and Section 5.4
- John K. Hunter, Measure Theory, Proposition 5.2
- John K. Hunter, Measure Theory, Theorem 5.15
- Gerald B. Folland, Real Analysis, 2nd ed., Exercise 47
- Terence Tao, An Introduction to Measure Theory, Corollary 1.7.17
- Terence Tao, An Introduction to Measure Theory, Theorem 1.7.15
- Terence Tao, An Introduction to Measure Theory, Proposition 1.7.11
- John K. Hunter, Measure Theory, Theorem 5.14
- Terence Tao, An Introduction to Measure Theory, Remark 1.7.12
- Terence Tao, An Introduction to Measure Theory, Theorem 1.7.18
- Gerald B. Folland, Real Analysis, 2nd ed., Theorem 2.37
- Gerald B. Folland, Real Analysis, 2nd ed., remark after Theorem 2.37
- Terence Tao, An Introduction to Measure Theory, Theorem 1.7.21
- John K. Hunter, Measure Theory, Theorem 5.18
- Gerald B. Folland, Real Analysis, 2nd ed., Theorem 2.39
- John K. Hunter, Measure Theory, Theorem 5.21
- John K. Hunter, Measure Theory, Example 5.20
- John K. Hunter, Measure Theory, Proposition 5.3
- Terence Tao, An Introduction to Measure Theory, Corollary 1.7.19
- Terence Tao, An Introduction to Measure Theory, Example 1.7.13
- Gerald B. Folland, Real Analysis, 2nd ed., Section 2.6 opening paragraph
- Gerald B. Folland, Real Analysis, 2nd ed., Exercise 50
- Gerald B. Folland, Real Analysis, 2nd ed., Section 6.4
- Gerald B. Folland, Real Analysis, 2nd ed., Proposition 6.24
- Gerald B. Folland, Real Analysis, 2nd ed., Theorem 2.49
- Gerald B. Folland, Real Analysis, 2nd ed., Proposition 2.53 and Corollary 2.55
- Gerald B. Folland, Real Analysis, 2nd ed., Theorem 2.47
- Terence Tao, An Introduction to Measure Theory, Exercise 1.7.21
- Gerald B. Folland, Real Analysis, 2nd ed., Exercise 45