Alphabeta Math
Pipeline-generated
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.

Sequential Uniform Boundedness with Countable Choice: Examples

1 · Prerequisites

2 · Summary

Coordinate truncations on c0 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 ACω.

On the incomplete space c00, the operators Tnx=nxn have norm n, 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

ExampleConstruction: AI-generatedVerification: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-10Open item page →

Coordinate partial sums on c_0

Example

Let K=R or C and X=c0(K) with the supremum norm and coordinates indexed by N={0,1,}. Define (ej)i=1 if i=j and 0 otherwise. For N0 put PNx=j=0Nxjej. Then X is Banach, each PN:XX is bounded linear, PNxx for each xX, and PN=1 for every N0. These assertions are choice-free. Under ACω, the sequential uniform boundedness theorem also supplies a qualitative uniform bound.

Facts & Assumptions

Given: The specified field, space, coordinate vectors, and finite truncations.

[F1]

c0 consists of bounded null sequences, with coordinatewise operations and the supremum norm (The sequence spaces c_0 and ell-infinity).

[F2]

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.

[F3]

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, zz=z2, and modulus is definite, multiplicative, and subadditive).

[F5]

A normed space is Banach if every norm-Cauchy sequence converges in it (Banach space).

[F6]

Finite vector sums start at the zero vector and append one summand at each successor (Linear combination of a finite list, and the span span(S) as the smallest linear subspace containing S).

[F7]

A linear map with a bound TxCx is bounded (A bounded linear operator between normed spaces).

[F8]

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).

[F9]

Under ACω, a pointwise bounded sequence from a Banach space to a normed space has uniformly bounded operator norms (Sequential uniform boundedness under countable choice).

Verification

1.1

We first prove scalar completeness from the real supremum property. A real Cauchy sequence (am) is bounded: take M with amaM<1 for mM and successively take the larger of aM+1 and each of a0,,aM1. This finite process produces a bound B. Each tail has a unique infimum bN=inf{am:mN} in [B,B], and L=sup{bN:NN} exists. Given η>0, take M with alam<η for l,mM. For fixed mM and every NM, all terms in the N-tail are in [amη,am+η], so its nonempty tail has infimum in that same interval. For N<M, bNbMam+η. Thus amηbMLam+η. Using η=ε/2 proves amL. If two scalar limits differed by d>0, sufficiently late terms within d/3 of both would give d<2d/3 by triangle inequality. Hence the limit is unique.

F2algebra
1.2

Each ej is a null sequence of norm one. Computing each coordinate in the finite sum gives (PNx)i=xi for iN and (PNx)i=0 for i>N: when iN the sole nonzero contribution is xi(ei)i=xi, and otherwise every contribution is zero. This calculation follows directly from appending the summands in the recursive finite sum. Thus PNx is eventually zero and lies in c0. At each coordinate, PN(ax+by)i=a(PNx)i+b(PNy)i, so PN is linear. Also (PNx)ix for all i, hence PNxx and PN is bounded.

F1F6F7givenalgebra
2.1

For z=a+ib, the modulus formula yields a,bza+b: the first inequalities follow from a2,b2a2+b2, and the last from (a+b)2=a2+b2+2aba2+b2, comparing nonnegative squares. Therefore the real and imaginary parts of a complex Cauchy sequence are real Cauchy sequences. Their unique limits a,b from step 1.1 give complex limit a+ib, since the modulus of the difference is bounded by the sum of the two coordinate errors. The scalar triangle inequality again proves uniqueness.

F3step 1.1algebra
2.2

The estimate in step 1.2 bounds the unit-ball image by 1. Since PNe0=e0 and e0=1, this image contains 1 as a norm value. Its supremum is therefore exactly PN=1 for every N0, including the one-coordinate projection P0. Also PN0=0.

F8step 1.2algebra
2.3

The coordinate formula gives PNxx=supj>Nxj. Given ε>0, take J with xj<ε/2 for jJ. For NJ the tail supremum is at most ε/2<ε, proving PNxx. If x already vanishes beyond J, the error is exactly zero for NJ.

F1step 1.2algebra
3.1

Let (x(m)) be any norm-Cauchy sequence in c0. For each fixed j, xj(m)xj(l)x(m)x(l), so the coordinate sequence is scalar Cauchy and has a unique limit xj. Replacement applied on N to the unique pair (j,xj) produces a set of these pairs, the graph of a function x:NK. This uses unique existence, not a choice of witnesses from non-singleton sets.

F1F4step 1.1step 2.1
4.1

If x(m)x(l)<η for m,lM, then for fixed mM and j, the scalar triangle inequality gives xj(m)xjη+xj(l)xj. Since the last term tends to zero, xj(m)xjη; a positive excess would be contradicted by making that term smaller than half the excess. Taking η=1 and one such m gives xjx(m)+1 for every j, so x is bounded. All subsequent suprema are legitimate by the real supremum property. Thus for general η the uniform coordinate bound implies x(m)xη for mM. Taking η=ε/2 proves norm convergence in the bounded-sequence space.

F1F2F3step 3.1algebra
5.1

Given ε>0, take one m with xx(m)<ε/2, and then J with xj(m)<ε/2 for jJ, since x(m)c0. For such j, xjxjxj(m)+xj(m)<ε. Hence xc0, and the arbitrary Cauchy sequence converges in c0. This proves c0 is Banach over both fields. The choices here concern a single given ε; no simultaneous selection is used.

F1F3F5step 4.1algebra
6.1

Under ACω, apply the sequential theorem with domain and codomain c0: step 5.1 proves the domain Banach, step 1.2 supplies bounded linear maps and the pointwise bound Mx=x. Its conclusion is a finite common bound for the PN. Step 2.2 has already computed that bound as 1 without any choice principle, and step 2.3 proves the promised convergence.

F9step 5.1step 1.2step 2.2step 2.3

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 c0 exercise, printed pp.5–6; those notes leave the c0 case as an exercise. Neither a general basis theorem nor another examples page supplies a premise here.

CounterexampleConstruction: AI-generatedVerification: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-10Open item page →

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: K{R,C} and N={0,1,}. We construct the domain and operators below in ZF, without choice.

[F1]

c0(K) is the normed space of bounded null sequences with coordinatewise operations and supremum norm (The sequence spaces c_0 and ell-infinity).

[F2]

A linear subspace carries the restriction of the ambient norm (Normed subspace).

[F3]

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).

[F4]

A finite set admits a bijection from a von Neumann natural m={0,,m1} (Finite, countably infinite, countable, uncountable); a subset of a finite set is finite (A subset of a finite set is finite, with BA, and equality holds if and only if B=A, clause 1).

[F5]

The natural order is defined additively and has trichotomy (Order on the natural numbers, Trichotomy of the order on N).

[F6]

The zero base and successor implication prove a property for every natural (The principle of mathematical induction).

[F8]

A bound TxCx 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).

[F9]

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 ε>0 in a complete ordered field there is a natural n1 with 1/n<ε).

[F10]

Banach means that every norm-Cauchy sequence converges in the space (Banach space).

Counterexample

1.1

Define c00={xc0:MN jM, xj=0}. Its zero vector has cutoff M=0. If x,y have cutoffs M,N and a,bK, then ax+by vanishes for jM+N, since M+NM,N. It is therefore a vector subspace of c0, normed by the inherited supremum norm. The same argument is valid over C, using the modulus convention.

F1F2F5F7givenalgebra
2.1

This is exactly the finite-support space. If x has cutoff M, its support {j:xj0} is a subset of the finite natural M, hence finite. Conversely, every finite support F has a bijection f:mF. We prove the range of every map f:mN has a natural upper bound by induction on m. At m=0, use bound 0. At m=r+1, the restriction to r has a bound L by the induction hypothesis; choose the larger of L and f(r) by trichotomy. This bounds the old values and the one new value at r, hence the whole range. Induction gives a bound L for F, so xj=0 for jL+1. A scalar sequence with finite support is bounded as well: successively taking the maximum of 0 and the finitely many xf(i) 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 c0.

F1F4F5F6step 1.1
2.2

For each n0 define Tn:c00K by Tnx=nxn. For scalars a,b, Tn(ax+by)=n(axn+byn)=aTnx+bTny. Also Tnx=nxnnx, so Tn is bounded and its unit-ball supremum is at most n. For n1, let en have coordinate 1 at n and zero elsewhere. It belongs to c00, has norm 1, and Tnen=n, giving Tn=n. At n=0, T0=0 and its norm is zero; at n=1, T1e1=1.

F3F7F8step 1.1algebra
3.1

For x with cutoff M, Tnx=0 when nM. For n<M, TnxnxMx. Thus Mx=Mx bounds the entire orbit, also when M=0 and x=0. On the other hand, given any real C, Archimedean cofinality gives n>C, and Tn=n>C. The sequence is pointwise bounded but its operator norms are unbounded.

F3F9step 1.1step 2.2algebra
3.2

For N0, let zj(N)=1/(j+1) if jN and zj(N)=0 otherwise. Its support is {0,,N}, so it lies in c00. For M>N, the difference has nonzero coordinates precisely N<jM, where its magnitude is 1/(j+1)1/(N+2). Equality is attained at j=N+1. Hence z(M)z(N)=1/(N+2); for M=N it is zero. Given ε>0, take K1 with 1/K<ε using the reciprocal property in the real field. For any M,NK, symmetry and the displayed formula bound the distance by 1/(K+2)<ε. Thus this sequence is norm-Cauchy.

F1F3F9step 2.1algebra
4.1

If it had norm limit zc00, then for each fixed j and every Nj, zj1/(j+1)=zjzj(N)zz(N)0. A constant nonnegative real bounded by a null sequence is zero: if positive, eventually that upper bound is smaller than half the constant. Therefore zj=1/(j+1)0 for every j. This contradicts the cutoff of z established in step 1.1. The Cauchy sequence has no limit in c00, so the domain is not Banach. Together with step 3.1 this exhibits exactly the failure when completeness of the domain is omitted.

F10step 1.1step 3.1step 3.2algebra

Remarks

The witness Tnx=nxn 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.

Sources