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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Sequential Uniform Boundedness with Countable Choice: Examples
1 · Prerequisites
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient 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
- 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
- Geometric Hahn Banach and Convex Separation
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Metric Spaces
- 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
- 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
- Sequential Uniform Boundedness with Countable Choice
- Simple Field Extensions and the Construction of the Complex Numbers
- Suprema and Infima
- The ZFC Axioms and the Basic Set Constructions
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
Coordinate truncations on have exact operator norm one and converge to every input. A local proof of completeness assembles unique scalar coordinate limits without choice. The optional application of the sequential theorem explicitly assumes .
On the incomplete space , the operators have norm , while each orbit is eventually zero. Reciprocal truncations give a Cauchy sequence without a limit in the domain, isolating the missing completeness hypothesis.
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
Coordinate partial sums on c_0
Example
Let or and with the supremum norm and coordinates indexed by . Define if and otherwise. For put Then is Banach, each is bounded linear, for each , and for every . These assertions are choice-free. Under , the sequential uniform boundedness theorem also supplies a qualitative uniform bound.
Facts & Assumptions
Given: The specified field, space, coordinate vectors, and finite truncations.
consists of bounded null sequences, with coordinatewise operations and the supremum norm (The sequence spaces c_0 and ell-infinity).
Every nonempty bounded-above set of reals has a supremum (The Cauchy-sequence reals have the least-upper-bound property); applying this to negatives also supplies infima of nonempty bounded-below sets.
Complex norms use the modulus; norm-metric completeness has the same meaning over either scalar field (Real and complex scalar conventions for normed spaces). Modulus is definite, multiplicative, and subadditive (Conjugation is an involutive real-field automorphism, , and modulus is definite, multiplicative, and subadditive).
Replacement forms the image of a set under a uniquely specified assignment (The Axiom Schema of Replacement: for each formula , if defines a class function on then its image on is a set).
A normed space is Banach if every norm-Cauchy sequence converges in it (Banach space).
Finite vector sums start at the zero vector and append one summand at each successor (Linear combination of a finite list, and the span as the smallest linear subspace containing ).
A linear map with a bound is bounded (A bounded linear operator between normed spaces).
The norm of a bounded operator is its unit-ball supremum (The operator norm as the least bound and as the unit-sphere or unit-ball supremum).
Under , a pointwise bounded sequence from a Banach space to a normed space has uniformly bounded operator norms (Sequential uniform boundedness under countable choice).
Verification
We first prove scalar completeness from the real supremum property. A real Cauchy sequence is bounded: take with for and successively take the larger of and each of . This finite process produces a bound . Each tail has a unique infimum in , and exists. Given , take with for . For fixed and every , all terms in the -tail are in , so its nonempty tail has infimum in that same interval. For , . Thus . Using proves . If two scalar limits differed by , sufficiently late terms within of both would give by triangle inequality. Hence the limit is unique.
Each is a null sequence of norm one. Computing each coordinate in the finite sum gives for and for : when the sole nonzero contribution is , and otherwise every contribution is zero. This calculation follows directly from appending the summands in the recursive finite sum. Thus is eventually zero and lies in . At each coordinate, , so is linear. Also for all , hence and is bounded.
For , the modulus formula yields : the first inequalities follow from , and the last from , comparing nonnegative squares. Therefore the real and imaginary parts of a complex Cauchy sequence are real Cauchy sequences. Their unique limits from step 1.1 give complex limit , since the modulus of the difference is bounded by the sum of the two coordinate errors. The scalar triangle inequality again proves uniqueness.
The estimate in step 1.2 bounds the unit-ball image by . Since and , this image contains as a norm value. Its supremum is therefore exactly for every , including the one-coordinate projection . Also .
The coordinate formula gives . Given , take with for . For the tail supremum is at most , proving . If already vanishes beyond , the error is exactly zero for .
Let be any norm-Cauchy sequence in . For each fixed , , so the coordinate sequence is scalar Cauchy and has a unique limit . Replacement applied on to the unique pair produces a set of these pairs, the graph of a function . This uses unique existence, not a choice of witnesses from non-singleton sets.
If for , then for fixed and , the scalar triangle inequality gives . Since the last term tends to zero, ; a positive excess would be contradicted by making that term smaller than half the excess. Taking and one such gives for every , so is bounded. All subsequent suprema are legitimate by the real supremum property. Thus for general the uniform coordinate bound implies for . Taking proves norm convergence in the bounded-sequence space.
Given , take one with , and then with for , since . For such , . Hence , and the arbitrary Cauchy sequence converges in . This proves is Banach over both fields. The choices here concern a single given ; no simultaneous selection is used.
Under , apply the sequential theorem with domain and codomain : step 5.1 proves the domain Banach, step 1.2 supplies bounded linear maps and the pointwise bound . Its conclusion is a finite common bound for the . Step 2.2 has already computed that bound as without any choice principle, and step 2.3 proves the promised convergence.
Remarks
This concrete example is library-generated. The local completeness proof develops the coordinate-limit method in MIT 18.102 notes, Theorem 16 and following exercise, printed pp.5–6; those notes leave the case as an exercise. Neither a general basis theorem nor another examples page supplies a premise here.
A complete domain is necessary for sequential uniform boundedness
Statement refuted
Every pointwise bounded sequence of bounded linear operators between normed spaces has uniformly bounded operator norms, even when the domain is not assumed complete.
Facts & Assumptions
Given: and . We construct the domain and operators below in ZF, without choice.
is the normed space of bounded null sequences with coordinatewise operations and supremum norm (The sequence spaces c_0 and ell-infinity).
A linear subspace carries the restriction of the ambient norm (Normed subspace).
The real field has the least-upper-bound property and is a complete ordered field (The Cauchy-sequence reals have the least-upper-bound property).
A finite set admits a bijection from a von Neumann natural (Finite, countably infinite, countable, uncountable); a subset of a finite set is finite (A subset of a finite set is finite, with , and equality holds if and only if , clause 1).
The natural order is defined additively and has trichotomy (Order on the natural numbers, Trichotomy of the order on ).
The zero base and successor implication prove a property for every natural (The principle of mathematical induction).
Complex norm terminology uses modulus and the same norm metric (Real and complex scalar conventions for normed spaces); scalar modulus is multiplicative and subadditive (Conjugation is an involutive real-field automorphism, , and modulus is definite, multiplicative, and subadditive).
A bound makes a linear map bounded (A bounded linear operator between normed spaces), and its operator norm is the unit-ball supremum (The operator norm as the least bound and as the unit-sphere or unit-ball supremum).
The naturals are cofinal in a complete ordered field, and their positive reciprocals get below every positive bound (Every complete ordered field is Archimedean, For every in a complete ordered field there is a natural with ).
Banach means that every norm-Cauchy sequence converges in the space (Banach space).
Counterexample
Define . Its zero vector has cutoff . If have cutoffs and , then vanishes for , since . It is therefore a vector subspace of , normed by the inherited supremum norm. The same argument is valid over , using the modulus convention.
This is exactly the finite-support space. If has cutoff , its support is a subset of the finite natural , hence finite. Conversely, every finite support has a bijection . We prove the range of every map has a natural upper bound by induction on . At , use bound . At , the restriction to has a bound by the induction hypothesis; choose the larger of and by trichotomy. This bounds the old values and the one new value at , hence the whole range. Induction gives a bound for , so for . A scalar sequence with finite support is bounded as well: successively taking the maximum of and the finitely many gives a real bound, and the cutoff makes it null. Thus this converse applies to arbitrary finite-support scalar sequences, not only those already presented in .
For each define by . For scalars , . Also , so is bounded and its unit-ball supremum is at most . For , let have coordinate at and zero elsewhere. It belongs to , has norm , and , giving . At , and its norm is zero; at , .
For with cutoff , when . For , . Thus bounds the entire orbit, also when and . On the other hand, given any real , Archimedean cofinality gives , and . The sequence is pointwise bounded but its operator norms are unbounded.
For , let if and otherwise. Its support is , so it lies in . For , the difference has nonzero coordinates precisely , where its magnitude is . Equality is attained at . Hence ; for it is zero. Given , take with using the reciprocal property in the real field. For any , symmetry and the displayed formula bound the distance by . Thus this sequence is norm-Cauchy.
If it had norm limit , then for each fixed and every , . A constant nonnegative real bounded by a null sequence is zero: if positive, eventually that upper bound is smaller than half the constant. Therefore for every . This contradicts the cutoff of established in step 1.1. The Cauchy sequence has no limit in , so the domain is not Banach. Together with step 3.1 this exhibits exactly the failure when completeness of the domain is omitted.
Remarks
The witness and its verification are library-generated as specified by the design. MIT 18.102 notes, printed pp.5–6, Definition 14 and the discussion following Theorem 16 provide the completeness and sequence-space setting, not attribution of this exact counterexample. All operators, vectors, and finite-support bounds above are explicit; the example makes no claim about failure of a choice principle.