How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
The Baire Principles of Functional Analysis — Examples
1 · Prerequisites
- Approximation and Compactness in C(K)
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- 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
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Metric Spaces
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Normed and Banach Spaces
- Order, Zorn's Lemma, and the Axiom of Choice
- Polynomial Rings, the Division Algorithm and Roots
- 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
- Simple Field Extensions and the Construction of the Complex Numbers
- Suprema and Infima
- The Baire Principles of Functional Analysis
- The Derivative and the Mean Value Theorems
- The Fundamental Theorems of Calculus
- The Riemann Integral: Definition and Integrability
- The ZFC Axioms and the Basic Set Constructions
- Topology of ℝ
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
These examples show both the dense singular behaviour predicted by Baire category and the failures caused by dropping completeness.
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
Condensation of singularities
Example
Assume DC. Let be Banach, let be normed, and let be not uniformly bounded. Then singular vectors, those with , form a dense set.
Facts & Assumptions
Given: DC, as displayed, and failure of uniform boundedness.
Verification
The second alternative of Baire dichotomy for a pointwise-defined family of bounded linear operators applies directly.
Therefore every nonempty open ball contains a singular vector, which is the condensation assertion.
Uniform boundedness fails on the incomplete space c_00
Statement refuted
Pointwise bounded families on arbitrary normed spaces need not be uniformly operator-norm bounded.
Facts & Assumptions
Given: with the supremum norm and .
Counterexample
Every is bounded and by testing the th unit vector.
For fixed finitely supported , for all sufficiently large , so .
The partial sums of lie in and are Cauchy in the sup norm but converge in its completion to a non-finitely-supported sequence. Thus the domain is incomplete and steps 1.1--1.2 refute the claim.
A bounded bijection of incomplete normed spaces need not be open
Statement refuted
A bounded bijective linear map between arbitrary normed spaces need not be open.
Facts & Assumptions
Given: The identity .
Counterexample
Since , is bounded and bijective.
Its inverse is unbounded: for , but .
The target is incomplete by Uniform boundedness fails on the incomplete space c_00. The partial sums of are also Cauchy in the norm but have no limit in , so the domain is incomplete as well.
If were open, its inverse would be continuous at , hence bounded by linearity, contradicting step 1.2.
A closed everywhere-defined graph need not be bounded without completeness
Statement refuted
Without completeness, a linear operator with closed everywhere-defined graph need not be bounded.
Facts & Assumptions
Given: .
Counterexample
The equal-coordinate vectors from A bounded bijection of incomplete normed spaces need not be open show that is unbounded.
If in sup norm and in norm, then every coordinate converges to both and , hence .
Thus the graph is closed in the product norm (The graph of a linear operator with a linear domain), while step 1.1 shows the operator is unbounded.
Differentiation on C^1[0,1] is closed and unbounded in the supremum norm
Example
With supremum norms, , , has closed graph but is unbounded.
Facts & Assumptions
Given: and uniformly, with .
Verification
Newton--Leibniz Newton–Leibniz needs only continuity on , differentiability on , and a Riemann-integrable extension of the interior derivative gives . Passing to uniform limits yields .
Since is continuous, the integral function is differentiable with derivative ; hence and . The graph (The graph of a linear operator with a linear domain) is closed.
For integers , put . Then whereas , so is unbounded.