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The Duality of and - Examples
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
- 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
- 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
- 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
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- 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 Derivative and the Mean Value Theorems
- The Duality of Lᵖ and L^q
- The Exponential Function
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Lᵖ Spaces Holder Minkowski and Riesz Fischer
- 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
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
This examples page keeps the concrete leaves of the duality theorem together: explicit norming functions, the counting-measure instance, the quotient warning that point evaluation does not descend to , and the two endpoint boundary witnesses that keep the and seams honest.
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
A power function on realizes the duality norm on the unit interval
Example
Let with conjugate exponent , and choose with . On with Lebesgue measure, define Then , the class has , and So this explicit power pair realizes the norm of the duality functional.
Facts & Assumptions
Given: An exponent , its conjugate exponent , and a real parameter with .
The pairing functional has norm (The functional has norm ; for assume is semifinite).
Verification
Proof technique: Take with , normalize the extremizer explicitly, and compute both norms by one-variable power integrals.
Since , one has and therefore Hence and
The chosen function satisfies Step 1.1 therefore gives so .
Also so another use of step 1.1 gives By step 1.1 and [L1], this equals .
The functional on has norm
Example
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()).
Let and let be conjugate to . On with Lebesgue measure, define Then is a bounded linear functional on and with the endpoint convention when .
Facts & Assumptions
Given: The Axiom of Countable Choice and an exponent with conjugate exponent .
The interval has Lebesgue measure (A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included).
If , then the pairing functional has norm in the ranges treated on the A page (The functional has norm ; for assume is semifinite).
Verification
Let . [given, construct] Then so is exactly the pairing functional associated to .
By [L1], if then so
If , then everywhere and on a set of positive measure, so .
Applying [L2] to step 1.1 and steps 1.2-1.3 gives
Every bounded linear functional on is summation against a unique sequence
Example
Every bounded linear functional has a unique sequence such that and
Facts & Assumptions
Given: A bounded linear functional on .
The counting-measure corollary says that every bounded linear functional on is represented by a unique sequence, with equality of norms (Counting measure specializes the representation theorem to and ).
On counting measure over , the integral pairing is exactly the series pairing for sequences ( is the space of counting measure).
Verification
Apply [L1] with . Then there is a unique sequence such that for every , and
The summation formula is exactly the counting-measure integral pairing from [L2], so this is the concrete instance of the A-page theorem.
Point evaluation at is not well defined on
Statement refuted
Point evaluation at defines a map on .
Facts & Assumptions
Given: Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). Let carry Lebesgue measure, and let .
Elements of are equivalence classes modulo almost-everywhere equality, so a pointwise operation on representatives descends only if it is independent of the chosen representative (The space as the quotient by null functions).
The singleton has Lebesgue measure (A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included).
Counterexample
Let and on . [given, construct] Then so point evaluation at distinguishes these two representatives.
By [L2], the set is null, so almost everywhere. [L1, L2, step 1.1] Therefore [L1] says that and define the same element of .
A well-defined map on cannot assign two different values to [L1, step 1.1, step 2.1] the same class. Steps 1.1 and 2.1 show that evaluation at would have to do exactly that, so it does not descend to .
The zero-countable / infinity-cocountable measure space breaks the endpoint of duality
Statement refuted
For , every bounded linear functional on is represented by a unique element of on every measure space.
Facts & Assumptions
Given: Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). Let be an uncountable set, let and define
Under countable choice, a countable union of at most countable sets is at most countable, and every subset of an at most countable set is at most countable (Countable unions of at most countable sets, assuming , Every subset of an at most countable set is at most countable).
A sigma-algebra is an algebra of subsets closed under countable unions, and a measure has value on and is countably additive on pairwise disjoint measurable sequences (Sigma-algebras, Measures on sigma-algebras).
The space is built from integrable representatives, is the space of essentially bounded measurable functions, and passes to almost-everywhere equivalence classes (The class of integrable functions, The space of essentially bounded measurable functions, The space as the quotient by null functions).
Chebyshev-Markov gives (Chebyshev-Markov inequality for the integral).
Counterexample
The family contains and is closed under complements by definition. Let lie in . If every is at most countable, then is at most countable by [L1]. If some is cocountable, then so [L1] makes the complement at most countable. Thus is a sigma-algebra on .
The function satisfies . Let be pairwise disjoint in . If two members were cocountable, then would be at most countable by [L1], contradicting that is uncountable. So at most one is cocountable. If every is at most countable, then is at most countable by [L1], and both sides of countable additivity are . If some is cocountable, then is at most countable by [L1], so the union is cocountable and both sides of countable additivity are . Hence is a measure on .
By definition of , a measurable set has finite -measure exactly when it is at most countable, and then its -measure is . In particular, is measurable and because is at most countable.
Let and choose an integrable representative . For each , set . By [L4], Step 3.1 therefore gives , so each is at most countable. By [L1], is at most countable and hence null. Thus every element of is the zero class.
The constant functions and are both in , but they do not define the same class because and step 3.1 gives that is not null. Thus contains at least two distinct classes.
Since has only the zero class by step 4.1, its only bounded linear functional is the zero functional. Both and represent that zero functional, because for the unique class in . By step 4.2, those two classes are distinct, so uniqueness fails. Therefore the representation theorem is false on this measure space.
A bounded functional on need not come from
Remark
There exists a bounded linear functional on that is not of the form for any .
The standard witness extends point evaluation at from to by Hahn-Banach. This examples page records that classical boundary fact but does not prove it here; the page-level warning already appeared in The case is recorded but not proved here ‡.
Sources
- John K. Hunter, Measure Theory, Proposition 7.13
- Gerald B. Folland, Real Analysis, 2nd ed., Section 6.2
- Richard F. Bass, Real Analysis for Graduate Students, Section 15.4
- Gerald B. Folland, Real Analysis, 2nd ed., Section 2.5
- John K. Hunter, Measure Theory, Section 7.4
- Gerald B. Folland, Real Analysis, 2nd ed., paragraph after Theorem 6.15
- John K. Hunter, Measure Theory, paragraph after Theorem 7.14