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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Finite Dimensional Normed Spaces and Riesz Lemma — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- 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
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Finite Dimensional Normed Spaces and Riesz Lemma
- 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 Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Measurable Functions and Simple Approximation
- Measures and Their Basic Properties
- Metric Spaces
- Modes of Convergence Egorov and Lusin
- 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
- 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
- Set Theory Beyond Choice: Recorded, Not Proved Here
- Sigma Algebras and Borel Sets
- Simple Field Extensions and the Construction of the Complex Numbers
- Suprema and Infima
- The Derivative and the Mean Value Theorems
- The Exponential Function
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Lᵖ Spaces Holder Minkowski and Riesz Fischer
- The Riemann Integral: Definition and Integrability
- 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
The companion page keeps the FA-3 results concrete: explicit norm constants, the separated-sphere witness from Riesz's lemma, a standard Heine-Borel failure in , the polynomial-space obstruction to completeness, an explicit three-point Kuratowski embedding, and the contrast between discontinuous functionals on incomplete spaces and the choice-sensitive Banach-space story.
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
Explicit comparison constants for the standard norms on K^n
Example
Let and let with . Define
Then
In particular, the abstract norm-equivalence theorems on the A page can be read with explicit constants on these three standard coordinate norms.
Facts & Assumptions
Given: A field , an integer , and a vector .
On , the displayed , Euclidean, and max formulas are the standard norms of The -norms for rational , and , and every norm on is equivalent to every other (For all norms on are equivalent).
On finite-dimensional complex spaces every two norms are equivalent (All norms on a finite-dimensional complex normed space are equivalent).
Verification
Since every summand is nonnegative and one of them equals , one has , hence . Also so .
By Cauchy-Schwarz for the vectors and , Also for every , so .
Combining steps 1.1 and 2.1 yields the displayed chain. Thus [L1] and [L2] become concrete on these coordinate norms.
Remarks
- The constants are sharp in the standard basis: makes and .
An infinite separated subset of the unit sphere
Example
Assume Dependent Choice. Let be a normed space that is not the span of any finite list. Then the unit sphere of contains an infinite subset whose distinct points are all more than apart.
Facts & Assumptions
Given: Dependent Choice and a normed space that is not the span of any finite list.
Under these hypotheses, for every there is a sequence of unit vectors with for (Under dependent choice, Riesz lemma builds an infinite separated sequence in the unit sphere).
Verification
Apply [L1] with . This gives a sequence of unit vectors such that whenever .
The set is therefore an infinite subset of the unit sphere whose distinct points are pairwise more than apart.
Heine-Borel fails in ell^2
Statement refuted
Refuted claim: every closed and bounded subset of an infinite-dimensional Banach space is compact.
Take the Hilbert space
Its closed unit ball is closed and bounded, but it is not compact.
Facts & Assumptions
Given: The space , its standard unit vectors , and its closed unit ball .
In any normed space with no ordered basis of finite length, the closed unit ball is not compact (In an infinite-dimensional normed space the closed unit ball is not compact).
The classical sequence spaces are Banach; in particular is Banach (The classical spaces are Banach spaces).
A vector space with a finite spanning set has no linearly independent subset equinumerous with (If has a spanning set with elements, then every linearly independent subset of is finite with at most elements; in particular has no linearly independent subset equinumerous with ).
Counterexample
The standard unit vectors are linearly independent: if , then the -th coordinate of that sequence is , so every . Therefore the set is linearly independent and is equinumerous with . By [L3], cannot be spanned by any finite list, hence it admits no ordered basis of finite length. Each belongs to and has norm , so every lies in the closed unit ball. Also for one has .
By [L2], is a Banach space. Since step 1.1 shows that admits no ordered basis of finite length, [L1] implies that is not compact. This closed unit ball is closed and bounded by definition, so it refutes the claim.
Remarks
- The Banach-space adjective in the refuted claim is there because the failure is not an incompleteness issue. The obstruction is infinite dimension.
The polynomial space admits no complete norm
Statement refuted
Refuted claim: the polynomial space over a scalar field can be made into a Banach space by some norm.
Let and let be the polynomial ring of The polynomial ring over a commutative ring as finitely supported coefficient sequences with convolution, regarded as a vector space over . Then no norm on is complete.
Facts & Assumptions
Given: A scalar field and the vector space of polynomials in one indeterminate.
A Banach space has no countably infinite Hamel basis (A Banach space has no countably infinite Hamel basis).
A basis is a linearly independent spanning subset (Basis of a vector space: a linearly independent spanning subset; and ordered basis: an injective finite list whose image is a basis).
The polynomial ring is the set of finite sums (The polynomial ring over a commutative ring as finitely supported coefficient sequences with convolution).
Counterexample
The set spans by [L3], because every polynomial is a finite linear combination of monomials. It is linearly independent: if as a polynomial, then every coefficient is . Hence [L2] makes a countably infinite Hamel basis of .
If some norm on were complete, then [L1] would forbid the countably infinite Hamel basis from step 1.1. This contradiction shows that no norm on is complete.
The Kuratowski embedding of a finite metric space
Example
Let with metric determined by
Using as basepoint, the based Kuratowski map is given by
where each function is recorded by its values on . These three points in are at the same pairwise sup distances as the original metric space.
Facts & Assumptions
Given: The three-point metric space above.
The based Kuratowski map preserves all distances (The based Kuratowski distance map is an isometric embedding).
Verification
By definition, . Evaluating this on the three points gives , , and .
The sup distances are , , and , exactly matching , , and . This is the concrete instance promised by [L1].
Discontinuous linear functionals on infinite-dimensional Banach spaces are not available in ZF + DC
Remark
On an infinite-dimensional Banach space, the existence of a discontinuous linear functional is a choice-sensitive statement. Full Choice gives one immediately from an infinite Hamel basis: pick the basis, prescribe an unbounded coefficient functional on it, and extend linearly. The opposite direction is not a theorem of ZF + DC. Howard and Tachtsis record the consistency boundary, and Heil's discussion of Hamel bases spells out the elementary "basis gives an unbounded functional" half.
The point for this page is negative rather than positive: the explicit discontinuous functional on the companion example below lives on the incomplete space , not on a Banach space. That distinction is exactly why this remark is kept separate from the example and why it never serves as a dependency.
A choice-free discontinuous linear functional on c_00
Example
Let
with the supremum norm , a norm in the sense of A norm on a real vector space, the induced metric, and the dictionary with the metric axioms. Define
Because every has finite support, the displayed sum is really finite. The map is linear but unbounded, hence discontinuous.
Facts & Assumptions
Given: The space with its supremum norm and the standard unit vectors .
Linearity means preserving scalar combinations (Linear map between vector spaces over the same field).
A normed space is a vector space equipped with a norm (A norm on a real vector space, the induced metric, and the dictionary with the metric axioms).
Verification
Because every element of has finite support, the displayed sum for has only finitely many nonzero terms. Therefore is well defined, and termwise addition shows for all scalars and all . Thus is linear by [L1].
For each , the unit vector satisfies and . Hence the values of on the unit sphere are unbounded, so no constant can satisfy for all . Thus is unbounded.
Every bounded linear functional on a normed space is continuous at , so an unbounded linear functional cannot be continuous. Therefore is a discontinuous linear functional on .
Remarks
- This is the explicit incomplete-space witness promised by the companion remark. No choice principle is used anywhere in the construction.
Sources
- Andrew Lin and Casey Rodriguez, MIT 18.102 Introduction to Functional Analysis
- Tomasz Kochanek, Functional analysis, Lecture 1
- Gerald Teschl, Topics in Real and Functional Analysis
- Christopher Heil, A Basis Theory Primer
- James Dugundji, Topology
- Paul Howard and Eleftherios Tachtsis, On infinite-dimensional Banach spaces and weak forms of the axiom of choice