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25 results · all verified · 19 also independently AI-judged
Every result on this page is machine-checked by a proof checker and read in full and owner-audited; the judge is an additional, independent cross-model AI review of the proofs. The 6 not AI-judged were verified by owner audit (typically over a confirmed judge false positive), not failures.

Schauder Bases Approximation and Banach Space Pathologies

1 · Prerequisites

2 · Summary

A Schauder basis is an ordered, fixed-expansion structure, not merely a dense sequence. The coefficient-space argument proves continuity of its coordinate functionals without circularly assuming bounded partial sums. Under DC the bounded inverse theorem then gives a finite basis constant, so the canonical finite-rank projections converge uniformly on compact sets and establish the bounded approximation property. Unconditional convergence is developed separately through permutation, finite-tail, subseries, and bounded-multiplier criteria.

The dual of ell-infinity is described as the finite-variation charges on the power set of the natural numbers. The finite-range integral is constructed before it is extended, and AC is stated exactly where Hahn--Banach creates a shift-invariant mean. The resulting charge separates finite additivity from countable additivity.

James space supplies a different pathology: under Countable Choice its canonical image has codimension one in its bidual even though the space is noncanonically isometric to that bidual. Enflo's Walsh-block construction is then reconstructed, under AC, through a logarithmic obstruction to every bounded approximation property. Grothendieck's tensor criterion is proved locally to show that reflexive AP implies MAP, so the same obstruction proves the advertised failure of AP; the literature remark is not used as a substitute proof. Finally, the choice-audited Dvoretzky--Rogers argument shows that unconditional and absolute convergence agree for every series exactly in finite dimension.

3 · Logical flowchart

4 · Definitions, theorems and proofs

DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-14Open item page →

Schauder basis and coordinate functionals

Definition

Let X be a real or complex Banach space. A positively indexed sequence (en)n1 in X means a function from N1 to X. Such a sequence is a Schauder basis of X if for every xX there is a unique scalar family a:N1K, written (an)n1, such that

x=n=1anen

in the fixed displayed order. This notation denotes the zero-indexed series from Series and absolute convergence in a normed space whose term at mN is am+1em+1; equivalently, n=1Nanenx in norm. The uniqueness is part of the definition.

For each n, the algebraically defined map

en:XK,en(x)=an,

is the nth coordinate functional. It is linear: uniqueness applied to the expansions of x+y and λx gives en(x+y)=en(x)+en(y) and en(λx)=λen(x). No continuity is included in this definition; boundedness will be proved later.

Remarks

  • A Schauder basis is ordered. Rearranging a conditional basis expansion can destroy convergence.
  • Every basis vector is nonzero, since otherwise the zero vector would have two coefficient sequences.
DefinitionDefinition: Literature-sourcedProof: Not applicableaudited 2026-09-14Open item page →

Partial-sum projections and basis constant

Definition

Let (en)n1 be a Schauder basis of X, with its algebraic coordinate functionals en. For N1 define the partial-sum projection

PNx:=n=1Nen(x)en,

and put P0:=0. Each PN is linear, has finite-dimensional range, satisfies PN2=PN, and obeys PMPN=Pmin{M,N}; these assertions use only uniqueness of coefficients.

If every PN is bounded and the real set {PN:N0} is bounded above, the basis constant is

K:=supN0PN.

This is an ordinary finite real supremum. Under its stated Dependent Choice hypothesis, the later boundedness theorem proves both hypotheses for every Schauder basis; until then neither PN nor K is used for an algebraic projection not yet known to be bounded.

LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-14Open item page →

The Schauder coefficient space is Banach

Statement

Let (en)n1 be a Schauder basis of the Banach space X. Let E be the vector space of scalar families a:N1K, written (an)n1, for which n=1anen converges, and set

aE:=supN0n=1Nanen.

Then E is a Banach space, and the summation map

S:EX,Sa=n=1anen,

is a bounded linear bijection with S1.

Facts & Assumptions

[L1]
[L2]

Every xX has a unique norm-convergent expansion in (en) (Schauder basis and coordinate functionals).

Proof

technique · direct

Given: The objects and hypotheses in the Statement.

1.1

The displayed formula is a norm on E: definiteness follows because its [given, L2] value zero forces every partial sum, hence every coefficient since en0, to vanish. Linearity of E and the remaining norm axioms follow termwise from the norm axioms in X.

L2algebra
2.1

Let (a(k)) be Cauchy in E. For fixed n, apply the nth coordinate [given, L1, step 1.1] map on span{e1,,en} to jn(aj(k)aj())ej. By [L1], (an(k))k is Cauchy, so it has a scalar limit an.

L1algebra
3.1

Given ε>0, choose k0 so a(k)a()E<ε for k,k0. Fix kk0 and N, and let in the finite sum. Coordinatewise convergence and continuity of finite sums give

givenstep 2.1

n=1N(an(k)an)enε.

The estimate is uniform in N. [step 2.1, Cauchy, finite limit]

4.1

Fix kk0. Since a(k)E, its series has Cauchy tails. For [given, step 3.1] M>N, step 3.1 applied to the two partial sums bounds the corresponding finite block for aa(k) by 2ε. Hence the partial sums for a are Cauchy in the Banach space X, so aE. Step 3.1 then yields a(k)aEε; thus E is complete.

step 3.1algebra
5.1

For aE, norm continuity gives [given, L2, step 4.1] Sa=limNnNanenaE, so S is bounded. Surjectivity and injectivity are respectively existence and uniqueness in [L2].

L2algebra
TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-14Open item page →

Coordinate functionals of a Schauder basis are bounded

Statement

Assume DC. If (en)n1 is a Schauder basis of a Banach space X, then every coordinate functional en and every partial-sum projection PN is bounded. Moreover

K:=supN0PN<.

Facts & Assumptions

[L1]

The coefficient space E is Banach and its summation map S:EX is a bounded linear bijection (The Schauder coefficient space is Banach).

[L2]

Under DC, a bounded linear bijection between Banach spaces has bounded inverse (Bounded inverse theorem).

[L3]

PNx=nNen(x)en and the basis constant is the supremum of their norms (Partial-sum projections and basis constant).

Proof

technique · direct

Given: The objects and hypotheses in the Statement.

1.1

Apply [L2] to [L1]. The only choice use is [A1], through that bounded-inverse [given, L2, L1, A1] theorem. Thus S1:XE is bounded.

A1L1L2
2.1

Truncation QN:EE, (an)(a1,,aN,0,), satisfies QNaEaE, because every partial sum of QNa is a partial sum of a. Since PN=SQNS1 and S1,

givenL1L3step 1.1

PNS1

for every N, including N=0. Hence K<. [L1, L3, step 1.1]

3.1

For n1,

givenL3step 2.1

en(x)en=(PnPn1)x.

Because en0, taking norms gives en(x)(Pn+Pn1)x/en. Thus every en is bounded. [L3, step 2.1] ∎

CorollaryStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-14Open item page →

A Banach space with a Schauder basis is separable

Statement

Every real or complex Banach space with a Schauder basis is separable.

Facts & Assumptions

[L1]

Every vector has norm-convergent finite partial sums in the basis (Schauder basis and coordinate functionals).

Proof

technique · direct

Given: The objects and hypotheses in the Statement.

1.1

In the real case let D consist of all finite linear combinations of the [given] basis vectors with rational coefficients. In the complex case use coefficients in Q+iQ. This is a countable union of countable finite products and hence is countable.

definition
2.1

Given x, first use [L1] to choose a basis partial sum within [given, L1, step 1.1] ε/2 of x. Approximate its finitely many scalar coefficients by rational, respectively Gaussian-rational, scalars closely enough that the resulting finite combination changes by less than ε/2. It belongs to D and is within ε of x. Thus D is dense.

L1step 1.1finite approximation
DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-14Open item page →

Unconditional convergence of a Banach-space series

Definition

Let X be a normed space and let x:N1X be a positively indexed family. The notation n=1xn denotes the zero-indexed series whose term at mN is xm+1. This series is unconditionally convergent to sX if for every permutation π:N1N1, the rearranged series n=1xπ(n), interpreted by the same shift, converges in norm to s.

This is different from absolute convergence, which means nxn<. The fixed-order series, all rearrangements, and the scalar series of norms are therefore kept distinct.

DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-14Open item page →

Unconditional and conditional Schauder bases

Definition

A Schauder basis (en) of a Banach space X is unconditional if, for every xX, its uniquely determined basis expansion

n=1en(x)en

converges unconditionally. It is conditional if it is not unconditional; equivalently, at least one vector has a basis expansion that is not unconditionally convergent.

The quantifier is over all basis expansions. It does not assert convergence of the formal unweighted series nen.

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-14Open item page →

Equivalent forms of unconditional convergence

Statement

Let X be a Banach space and let x:N1X, written (xn)n1, be a positively indexed family. The following are equivalent.

  1. nxn is unconditionally convergent.
  2. The net (nFxn)F, directed by inclusion over finite subsets of N1, converges.
  3. For every ε>0 there is N such that nFxn<ε for every finite F{N,N+1,}.
  4. Every subseries kxnk, for n1<n2<, converges.
  5. For every bounded scalar family λ:N1K, the series nλnxn converges.

In (1) and (2) the limit is the fixed-order sum.

Facts & Assumptions

[L1]

Every Cauchy sequence in a Banach space converges (Banach space).

[L2]

Unconditional convergence means convergence of every permutation to the same sum (Unconditional convergence of a Banach-space series).

Proof

technique · equivalence

Given: The objects and hypotheses in the Statement.

1.1

Suppose (3) fails, and enumerate finite subsets of N1 by their finite codes. [given] Recursively build a listing as follows. At stage k, first append the least positive integer not yet listed, let M be the greatest integer listed so far, and then take the least coded finite set Fk{M+1,M+2,} with nFkxnε and append its members in increasing order. The negation of (3) supplies such an Fk after every finite stage, and least codes make the recursion unique.

givenalgebra
2.1

No integer is listed twice, because every block Fk lies beyond all [given, L2, step 1.1] earlier entries. Every positive integer is eventually listed, since each stage appends the current least omitted integer. Thus the listing is a permutation of N1. Each Fk is a consecutive block whose increment has norm at least ε, so the rearranged partial sums are not Cauchy. By [L2], (1) therefore implies (3).

step 1.1L2
3.1

Assume (3). Given ε, choose N for ε/2. If finite [given, L1, step 2.1] E,F both contain {1,,N1}, their sums differ by two disjoint finite tail sums and hence by less than ε. In particular, the ordinary partial sums are Cauchy, so [L1] gives a limit sX. Applying (3) once more to a finite F containing a sufficiently long initial segment shows nFxns<ε. Thus the finite-subset net converges to s, and (3) implies (2).

L1givenalgebra
4.1

Every permutation's initial index sets are cofinal among finite subsets: [given, L2, step 3.1] each fixed finite set is eventually included. Hence (2) makes every rearranged partial-sum sequence converge to the net limit. The ordinary initial segments are also cofinal, so this limit is the fixed-order sum. Thus (2) implies (1).

L2givenalgebra
5.1

Under (3), any finite tail of any subseries is a finite tail set of the [given, L1, step 1.1, step 4.1] original series. It satisfies the Cauchy criterion, so [L1] proves (4). Conversely, if (3) failed, the union of the disjoint blocks Fk from step 1.1, listed increasingly, would define a subseries having successive block increments of norm at least ε, hence not Cauchy. Thus (3) and (4) are equivalent.

step 1.1L1given
6.1

Assume (3), let λnM, and take a finite tail set F. A finite layer-cake decomposition shows that for 0tn1, nFtnxn is a convex combination of subset sums of F. Writing a real multiplier as its positive part minus its negative part, and a complex multiplier as the same decomposition of real and imaginary parts, gives

givenL1step 5.1

nFλnxn4MsupAFnAxn.

(The factor is 2M over the reals.) Condition (3) and [L1] now prove (5). Taking λn to be the indicator of an infinite subset shows that (5) implies (4). [L1, (3), finite convexity]

7.1

Steps 2.1--6.1 give both directions among all five conditions. The [given, step 4.1, step 6.1] common-sum identification is the conclusion of step 4.1.

step 2.13.14.15.16.1
DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-14Open item page →

Approximation property and bounded approximation property

Definition

Let X be a Banach space. It has the approximation property (AP) if for every norm-compact set CX and every ε>0 there is a bounded finite-rank operator T:XX such that

supxCTxx<ε.

Here finite rank means that T(X) is finite-dimensional.

For λ0, X has the λ-bounded approximation property (λ-BAP) if the same assertion holds with the additional operator-norm bound Tλ, where the norm is that of The operator norm as the least bound and as the unit-sphere or unit-ball supremum. It has the bounded approximation property (BAP) if it has λ-BAP for some finite λ.

No sequence of approximating operators is required; this matters in nonseparable spaces. Plainly λ-BAP implies AP.

LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-14Open item page →

Uniformly bounded pointwise-convergent operators converge uniformly on compact sets

Statement

Let X,Y be normed spaces and let Tn:XY be bounded linear operators with M0:=supnTn<. If TnxTx for every xX, then T is bounded and TnT uniformly on every norm-compact subset of X.

Facts & Assumptions

[L1]

For a bounded linear operator, SxSx (The operator norm as the least bound and as the unit-sphere or unit-ball supremum).

[L2]

The maps Tn are bounded linear operators (A bounded linear operator between normed spaces).

Proof

technique · direct

Given: The objects and hypotheses in the Statement.

1.1

Passing to limits in the linear identities for [L2] shows that T is [given, L2, L1] linear. By [L1], Tx=limnTnxM0x, so T is bounded and TM0.

L1L2algebra
2.1

Put M:=M0+T. If M=0, every Tn and T is zero and the result [given, step 1.1] is immediate. Suppose M>0, fix compact C and ε>0, and choose a finite ε/(3M)-net x1,,xr in C.

step 1.1algebra
3.1

Pointwise convergence gives n0 such that (TnT)xj<ε/3 for all j and nn0. For xC choose j with xxj<ε/(3M). Then [L1] gives

givenL1step 2.1

(TnT)xMxxj+(TnT)xj<2ε/3<ε.

Thus convergence is uniform on C. [L1, step 2.1, finite maximum] ∎

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-14Open item page →

A Schauder basis implies the bounded approximation property

Statement

Assume DC. If a Banach space X has a Schauder basis with basis constant K, then X has K-BAP, and hence AP.

Facts & Assumptions

[L1]

Under DC, the partial-sum projections are bounded and satisfy supNPN=K< (Coordinate functionals of a Schauder basis are bounded).

[L2]

By the defining expansion of a Schauder basis, PNxx for every xX (Schauder basis and coordinate functionals).

[L3]

Uniformly bounded pointwise-convergent bounded operators converge uniformly on compact sets (Uniformly bounded pointwise-convergent operators converge uniformly on compact sets).

[L4]

K-BAP is compact-uniform approximation of the identity by finite-rank maps of norm at most K (Approximation property and bounded approximation property).

Proof

technique · direct

Given: The objects and hypotheses in the Statement.

1.1

Each PN has range in span{e1,,eN} and hence [given, L1, A1, L2] has finite rank. By [L1], using [A1] exactly through the coordinate-boundedness theorem, PNK; by [L2], PNxx for every xX.

A1L1L2
2.1

Apply [L3] to (PN) and the identity. On each compact C, [given, L3, L4, step 1.1] supxCPNxx0. Together with step 1.1, [L4] says precisely that X has K-BAP. Since BAP implies AP by [L4], the consequence follows.

L3L4step 1.1
DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-14Open item page →

Finitely additive charges and total variation on the power set of N

Definition

A real or complex charge on P(N) is a function ν:P(N)K such that ν()=0 and

ν(AB)=ν(A)+ν(B)

whenever A and B are disjoint. Only finite additivity is required.

For AN, its total variation is

ν(A):=sup{j=1mν(Aj):A=A1Am, m1}.

Empty cells may be deleted, and ν()=0. The vector space ba(P(N)) consists of the charges with νba:=ν(N)<.

Countable additivity is a strictly stronger property and is not part of this definition.

LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-14Open item page →

Finite-range sequences are uniformly dense in ell-infinity

Statement

The finite-range real, respectively complex, sequences are dense in for the supremum norm.

Facts & Assumptions

[L1]

consists of bounded scalar sequences with the supremum norm (The sequence spaces c_0 and ell-infinity).

Proof

technique · direct

Given: The objects and hypotheses in the Statement.

1.1

Let x and ε>0. In the real case partition the [given, L1] bounded interval containing all xn into finitely many half-open intervals of length below ε, and replace every xn by a fixed endpoint of its cell. The resulting sequence s has finite range and xs<ε.

L1finite partition
2.1

In the complex case partition a square containing all xn into finitely [given, L1, step 1.1] many squares of side below ε/2 and replace by one corner of the containing cell. Again s has finite range and xs<ε. This proves density in both scalar fields.

L1step 1.1Euclidean estimate
DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-14Open item page →

The finitely additive integral on ell-infinity

Definition

Let νba(P(N)). If a finite-range sequence is written using a finite disjoint partition of N as

s=j=1mcj1Aj,

define its finitely additive integral provisionally by

Iν0(s):=j=1mcjν(Aj).

The well-definedness lemma The finitely additive integral is well-defined and isometric proves that this does not depend on the displayed representation and extends uniquely and continuously from the dense finite-range subspace to all of . That extension is denoted Iν(x)=Nxdν.

No countably additive integration theorem is being used here.

LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-14Open item page →

The finitely additive integral is well-defined and isometric

Statement

For every νba(P(N)), the finite-range formula Iν0 is representation-independent and has a unique bounded linear extension Iν(). Moreover

Iν=ν(N).

Consequently νIν is a linear isometry into ().

Facts & Assumptions

[L1]

Finite-range sequences are uniformly dense in , and the finite-range integral is the partition formula (The finitely additive integral on ell-infinity).

Proof

technique · direct

Given: The objects and hypotheses in the Statement.

1.1

Two partition representations of s have the common refinement [given, L1] (AjBk)j,k. Finite additivity replaces each original summand by its sum over the refinement; because both coefficients equal sn on a nonempty cell, the two refined sums agree. Thus Iν0 is well-defined and linear.

L1finite additivity
2.1

For a partition representation,

givenL1step 1.1

Iν0(s)jcjν(Aj)sν(N).

Hence Iν0 is bounded with norm at most ν(N). [L1, definition of variation]

3.1

Use the fixed dyadic grid to define a finite-range quantization qk(x) [given, L2, step 2.1] with qk(x)x2k (coordinatewise in a square over C). Step 2.1 makes (Iν0(qk(x)))k Cauchy; [L2] supplies its limit. The same estimate shows independence of any approximating finite-range sequence, linearity, uniqueness, and the bound Iνν(N).

L2step 2.1fixed quantizer
4.1

Given ε>0, choose a finite partition (Aj) with [given, step 3.1] jν(Aj)>ν(N)ε. Put cj=1 when ν(Aj)=0 and otherwise cj=ν(Aj)/ν(Aj) (the same sign formula over R). Then jcj1Aj=1 and its integral is jν(Aj). Thus Iνν(N)ε; letting ε0 proves equality. Linearity in ν is immediate from the formula.

steps 1.13.1variation supremum
TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-14Open item page →

The dual of ell-infinity is ba

Statement

The map

Φ:()ba(P(N)),Φ(φ)(A):=φ(1A),

is a linear isometric isomorphism. Its inverse sends ν to the finitely additive integral Iν.

Facts & Assumptions

[L1]

For each finite-variation charge, Iν is a bounded functional and Iν=ν(N) (The finitely additive integral is well-defined and isometric).

[L2]

The dual consists of bounded scalar-valued linear functionals with the operator norm (The dual space X^* of a normed space and its dual norm).

Proof

technique · direct

Given: The objects and hypotheses in the Statement.

1.1

Let φ() and put νφ(A)=φ(1A). Linearity and 1AB=1A+1B give finite additivity. For a finite partition (Aj) choose scalar phases cj with cjνφ(Aj)=νφ(Aj). Then jcj1Aj=1 and [L2] gives

givenL2

jνφ(Aj)=φ(jcj1Aj)φ.

Thus νφba and νφbaφ. [L2, finite additivity, phases]

2.1

By construction, Iνφ(1A)=φ(1A). [given, L1, step 1.1] Linearity gives equality on finite-range sequences, and density plus boundedness gives Iνφ=φ on .

L1step 1.1algebra
3.1

Conversely, Φ(Iν)(A)=Iν(1A)=ν(A), so the two maps are [given, L1, step 2.1] inverse. Finally [L1] gives Iν=νba, proving isometry and completing both surjectivity and injectivity.

L1step 2.1
TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-14Open item page →

Existence of a shift-invariant mean on bounded sequences

Statement

Assume the Axiom of Choice. There exists a positive real-linear functional L:(N;R)R such that

L(1)=1,L=1,L(Sx)=L(x),

where (Sx)n=xn+1. Moreover L(x)=limnxn whenever the ordinary limit exists.

Facts & Assumptions

[A1]

The Axiom of Choice holds (The Axiom of Choice).

[L1]

Under AC, a real linear functional dominated by a sublinear functional on a subspace extends, with the domination preserved (Hahn-Banach dominated extension theorem for real vector spaces).

[L3]

A sublinear functional is positively homogeneous and subadditive (A sublinear functional on a real vector space); bounded real sequences form real (The sequence spaces c_0 and ell-infinity).

Proof

technique · direct

Given: The objects and hypotheses in the Statement.

1.1

For x define [given, L2, L3] p(x)=lim supN1N+1n=0Nxn. This is finite because x is bounded. Linearity of finite averages, positive homogeneity of limsup, and [L2] show that p is sublinear in the sense of [L3].

L2L3definition
2.1

Let c be the subspace of ordinarily convergent sequences and let [given, L1, A1, step 1.1] f(x)=limnxn on c. Cesaro means preserve an ordinary limit, so f(x)=p(x) on c; in particular fp. Apply [L1]. The exact non-finite choice use is [A1] in Hahn--Banach, producing a real-linear extension L with L(x)p(x) for every x.

A1L1step 1.1Cesaro convergence
3.1

If xn0, then p(x)0, hence [given, step 2.1] L(x)=L(x)p(x)0; thus L is positive. Since 1c, L(1)=1. Positivity applied to x1±x gives L(x)x, while L(1)=1 gives the reverse norm bound. Therefore L=1.

step 2.1positivity
4.1

The Cesaro average of xSx equals [given, step 2.1, step 1.1, step 3.1] (x0xN+1)/(N+1) and tends to zero; the same is true of Sxx. Therefore p(xSx)=p(Sxx)=0. Domination gives L(xSx)0 and L(xSx)=L(Sxx)0, so L(xSx)=0 and L(Sx)=L(x). On the original subspace c, step 2.1 already says that L extends the ordinary limit.

step 1.1step 2.1telescoping
CorollaryStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-14Open item page →

The countably additive part of ba is ell-one

Statement

Assume AC. A charge νba(P(N)) is countably additive exactly when there is (an)1 such that

ν(A)=nAan(AN).

These charges form a proper linear subspace of ba(P(N)).

Facts & Assumptions

[A1]
[L1]

A positive norm-one shift-invariant mean exists under AC (Existence of a shift-invariant mean on bounded sequences).

[L2]

Functionals on correspond isometrically to finite-variation charges (The dual of ell-infinity is ba).

Proof

technique · direct

Given: The objects and hypotheses in the Statement.

1.1

Let ν be countably additive and put an=ν({n}). For every N, [given] the singleton partition of {0,,N} gives n=0Nanν(N). Thus (an)1. Countable additivity applied to A=nA{n} gives the displayed formula.

countable additivityvariation
2.1

Conversely, if (an)1, absolute convergence makes [given, step 1.1] νa(A)=nAan independent of enumeration and countably additive; also νa(N)=nan<. This proves the equivalence and linearity of the subspace.

absolute convergence
3.1

Use [A1] exactly through [L1], and let L be the resulting mean. By [L2], [given, A1, L1, L2, step 2.1] ν(A):=L(1A) is a charge. Shift invariance makes all singleton masses equal because S1{n+1}=1{n}. Moreover S1{0}=0, so shift invariance and linearity give ν({0})=L(1{0})=L(0)=0. Hence ν({n})=0 for every n but ν(N)=L(1)=1, so it is not countably additive. The subspace is proper.

A1L1L2
DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-14Open item page →

James space

Definition

Let c0=c0(N;R) as in The sequence spaces c_0 and ell-infinity, and use positive labels for its coordinates: if x~:NR is the underlying sequence, then xn below means x~n1 for n1. Likewise en denotes the canonical vector supported at the underlying coordinate n1. If p=(1p1<<pk) is a nonempty finite increasing tuple, define qp(x)=0 for k=1, and for k2 define

qp(x)2:=12(j=1k1xpjxpj+12+xpkxp12).

The James space is the real vector space

J:={xc0:suppqp(x)<},

equipped with xJ:=suppqp(x). The cyclic closing term and the factor 1/2 are part of this fixed norm; later equivalent James norms are not being identified with it isometrically.

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The James formula defines a norm

Statement

J is a vector subspace of c0, the James formula J is a norm on J, and

xxJ(xJ).

Moreover 2J and xJ2x2 for x2.

Facts & Assumptions

[L1]

The cyclic quadratic-variation seminorms qp and J are as defined in James space.

Proof

technique · direct

Given: The objects and hypotheses in the Statement.

1.1

For fixed p, qp(x) is 21/2 times the Euclidean norm of the [given, L1] finite vector of cyclic successive differences. Euclidean Minkowski gives qp(x+y)qp(x)+qp(y) and homogeneity is immediate. Taking suprema shows that J is a vector subspace and gives the triangle inequality and homogeneity for J.

L1Euclidean Minkowski
2.1

For i<j, the two-point tuple (i,j) gives [given, L1, step 1.1] q(i,j)(x)=xixj. Since xj0 for xc0, letting j yields xixJ. Taking the supremum proves the first displayed inequality and definiteness, including at x=0.

L1two-point tuple
3.1

For x2 and p=(p1<<pk), use [given, L1, step 2.1] ab22a2+2b2 in the cyclic sum. Every selected coordinate occurs twice before the factor 1/2, so qp(x)22j=1kxpj22x22. Taking the supremum gives 2J and the second inequality.

L1finite estimate
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James space is complete and separable

Statement

The real James space J is a separable Banach space. Its standard unit vectors (en)n1 form a Schauder basis, and the coordinate truncations ΠNx=(x1,,xN,0,) satisfy

ΠNxJxJ,xΠNxJxJ,xΠNxJ0.

Facts & Assumptions

[L0]

James coordinate n1 is the underlying c0 coordinate n1, and en is supported at that coordinate (James space).

[L1]

The James formula is a norm, dominates the supremum norm, and satisfies xJ2x2 on 2 (The James formula defines a norm).

[L2]

Real c0 is complete for the supremum norm (Real and complex c0 are Banach).

[L3]

A Schauder basis requires existence and uniqueness of the norm-convergent coordinate expansion (Schauder basis and coordinate functionals).

Proof

technique · direct

Given: The objects and hypotheses in the Statement.

1.1

Let (x(m)) be Cauchy in J. By [L1] it is Cauchy in c0, so [L2] [given, L1, L2] gives x(m)xc0 uniformly. For each fixed tuple p, qp(x)=limmqp(x(m)), whence suppqp(x)<. Letting m in qp(x(n)x(m))<ε uniformly in p yields x(n)xJε. Thus J is complete.

L1L2algebra
2.1

For p=(p1<<pk) in the positive labeling of [L0], define the auxiliary endpoint variation

givenL0L1step 1.1

rp(x)2=12(xp12+j<kxpjxpj+12+xpk2)

(with r(p1)(x)=xp1), and R(x)=supprp(x). Direct expansion gives xJ2R(x). Appending an index m to p and using xm0 gives rp(x)xJ. Hence 21/2xJR(x)xJ. [L1, endpoint expansion]

3.1

Finite-support sequences are dense. Indeed, for nonzero x and ε>0, choose δ>0 with 4δR(x)<ε2. Choose a tuple p with rp(x)>R(x)δ, append a sufficiently remote final index N=pk so this remains true, and ensure supiNxi<δ. Put ξ=ΠNx. For any tuple q meeting the tail, delete its indices at most N and call the remaining tuple q. Concatenating p and q in the definition of R(x) gives

givenstep 2.1

R(x)2>(R(x)δ)2δ2+rq(x)2,rq(x)2<2δR(x).

Thus R(xξ)2<2δR(x), and step 2.1 gives xξJ2<4δR(x)<ε2. The zero vector is already finite support. [step 2.1, finite concatenation, xc0]

4.1

Fix a tuple q. If it lies wholly before or after N, the two [given, step 2.1, step 3.1] contractive estimates for ΠNx and xΠNx are immediate. If it crosses N, delete respectively the tail or the head. Expanding the one new jump to zero shows that the resulting q-variation equals an auxiliary endpoint variation rq(x), hence is at most R(x)xJ by step 2.1. Taking suprema proves both contractive inequalities.

step 2.1algebra
5.1

Given x and ε>0, step 3.1 gives finite-support u with [given, L0, L3, step 3.1, step 4.1] xuJ<ε. For N beyond its support, step 4.1 gives xΠNxJ=(IΠN)(xu)JxuJ<ε. Coordinatewise uniqueness in the labeling of [L0] is immediate, so [L3] makes (en) a Schauder basis.

L0L3step 3.14.1
6.1

Finite-support sequences with rational coordinates form a countable set. [given, step 3.1, step 5.1] They are dense by step 3.1 and finite-dimensional rational approximation, so J is separable.

step 3.1algebra
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Dual and bidual models for James space

Statement

Assume Countable Choice. Use the positive coordinate labels fixed in James space, and use the same relabeling for the underlying 2(N) and (N) coordinates. Under the pairing y,x=n1ynxn,

J={y2:yJ:=sup0x2y,xxJ<},

and finite-support sequences are norm dense in J. For a bounded real sequence z and a nonempty positive tuple p=(p1<<pk), let qp(z) be the cyclic expression in James space (the same finite formula makes sense without assuming zc0), and define the endpoint variation by

rp(z)2:=12(zp12+j=1k1zpjzpj+12+zpk2).

For k=1 this gives r(p1)(z)=zp1. Then

J={z:zJ:=suppmax{qp(z),rp(z)}<}

isometrically. Every such z has a unique representation z=x+λ1 with xJ and λR, and the canonical image of J is the summand with λ=0.

Facts & Assumptions

[A1]
[L1]

J is Banach, c00 is dense, and its coordinate truncations and tails are contractions converging strongly to the identity (James space is complete and separable).

[L2]

The defining James formula contains 2 and satisfies xJ2x2 for every x2 (The James formula defines a norm).

[L3]

The real dual of 2 is represented uniquely by 2 sequences under the series pairing (Counting measure specializes the representation theorem to p and q).

Proof

technique · direct

Given: The objects and hypotheses in the Statement.

1.1

If ΛJ, then [L2] makes Λ2 bounded on 2 because Λ(x)ΛxJ2Λx2. [given, L1, L2, L3] By [L3] it is pairing with a unique y2. Density of 2 in J makes y determine Λ, and the displayed supremum is exactly its operator norm. Conversely, any y with finite displayed supremum extends by continuity from dense 2 to J.

L1L2L3algebra
2.1

Dual coordinate truncation is pairing with ΠNx. The two contraction [given, L1, step 1.1] estimates in [L1] therefore give ΠNyJyJ and yΠNyJyJ. The coordinate interpretation follows directly from the series pairing.

L1step 1.1
3.1

We prove the latter tails tend to zero. If instead their decreasing norms [given, A1, L1, step 2.1] stay above ε>0, then [A1] is used exactly here to choose, for each N, a finite-support u(N)J with ΠNu(N)=0, u(N)J=1, and y,u(N)>ε (change sign if needed). Starting at N1=1, put Nj+1=maxsuppu(Nj).

A1L1step 2.1
4.1

Form ξc0 by placing j1u(Nj) on the coordinate block (Nj,Nj+1]. To verify ξJ, split any finite increasing tuple into its intersections with these blocks. Each within-block endpoint variation is at most 1/j, and ab22a2+2b2 bounds every transition between blocks by the two adjacent endpoint terms. Consequently

givenL1step 3.1

R(ξ)22j1j2<,

where R=supprp; the equivalence in [L1]'s proof gives ξJ. But y,ΠNkξεj<kj1 is unbounded, whereas [L1] makes ΠNkξJξJ. This contradicts yJ, proving ΠNyy. [L1, step 3.1, block calculation]

5.1

Let ΛJ and set zn=Λ(en). Since enJ=1, z is bounded. By step 4.1,

givenstep 4.1

Λ(y)=limNΛ(ΠNy)=limNnNynzn.

For each p, the gradients of the finite Euclidean seminorms qp and rp are explicit finite-support functionals of J of norm at most one (because qp(x),rp(x)xJ). Evaluating them on z gives qp(z),rp(z)Λ. Hence suppmax{qp(z),rp(z)}Λ. [step 4.1, finite Euclidean duality]

6.1

Conversely, suppose bounded z has [given, step 5.1] B:=suppmax{qp(z),rp(z)}<. It is Cauchy: otherwise some ε>0 permits recursively choosing the lexicographically least p1<q1<p2<q2< with zpjzqjε; then the cyclic variation on the first 2k indices is at least εk/2, contradicting B<. Let λ=limnzn and x=zλ1. Then xc0 and qp(x)=qp(z), so xJ.

algebra
7.1

For yJ, the partial-sum functionals hN(y)=nNyn=y,1{1,,N} have norm at most one because that initial-block vector has James norm one. They converge on dense c00, and the uniform bound plus step 4.1 makes hN(y) converge for every yJ. Hence

givenstep 4.1step 6.1

Λz(y):=y,x+λlimNhN(y)=limNy,ΠNz

is well-defined and linear. A tuple crossing the truncation point turns its cyclic variation into rp(z), while a tuple on one side gives either zero or qp(z); therefore ΠNzJB. Taking limits yields Λz(y)ByJ. [step 4.1, step 6.1, truncation cases]

8.1

Step 5.1 applied to Λz gives the reverse norm inequality, so [given, step 5.1, step 6.1, step 7.1] Λz=B. Steps 5.1 and 7.1 are inverse constructions and prove the isometric bidual model. Step 6.1 gives the unique splitting z=(zλ1)+λ1; since elements of J tend to zero, the canonical image is exactly λ=0.

step 5.16.17.1
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The canonical image of James space has codimension one

Statement

Assume Countable Choice. The canonical image of J is a closed subspace of codimension one in J. In particular, J is not reflexive.

Facts & Assumptions

[A1]
[L1]

Under Countable Choice, J is isometrically JR1, and the canonical image is the zero-constant summand (Dual and bidual models for James space).

[L2]

Reflexivity means surjectivity of the canonical map into the bidual (Reflexivity is surjectivity of the canonical map).

Proof

technique · direct

Given: The objects and hypotheses in the Statement.

1.1

By [A1] and [L1], the quotient of J by its canonical J summand is [given, A1, L1] identified by x+λ1λ with R. The scalar λ=limnzn satisfies λzJ because singleton endpoint variations are zn, so the zero-constant summand is closed.

A1L1
2.1

The constant sequence 1 has bidual norm one and is not in the [given, L2, L1, step 1.1] canonical image, since elements of Jc0 tend to zero. Thus the quotient is nonzero and exactly one-dimensional. The canonical map is not surjective, so [L2] says J is not reflexive.

L1L2step 1.1
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James space is isometrically isomorphic to its bidual

Statement

Assume Countable Choice. The James space J is linearly isometric to its bidual J, although its canonical embedding is not onto.

Facts & Assumptions

[A1]
[L1]

Under Countable Choice, J is the max-of-cyclic-and-endpoint variation sequence space, and every element is a constant plus an element of J (Dual and bidual models for James space).

Proof

technique · direct

Given: The objects and hypotheses in the Statement.

1.1

Define T:JJ by (Tx)n=xn+1x1 for n1. It is linear. If p=(1p1<<pk) is a positive tuple, direct substitution gives

givenL1A1

qp(Tx)=q(p1+1,,pk+1)(x),rp(Tx)=q(1,p1+1,,pk+1)(x).

Every tuple for x either contains 1 or, after shifting down, has one of these two forms. Therefore [L1] gives TxJ=xJ; in particular T is injective. [A1, L1, direct calculation]

2.1

Let zJ and set λ=limnzn, supplied by [given, L1, step 1.1] [L1]. Define x1=λ and xn+1=znλ for n1. Then xn0, the identities in step 1.1 read backwards show xJ=zJ<, and Tx=z. Thus T is surjective and is a linear isometry.

L1step 1.1
3.1

This T is not the canonical embedding: by [L1] the latter misses the [given, L1, step 2.1] nonzero constant summand. Hence isometric isomorphism does not make J reflexive.

L1step 1.12.1
DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-14Open item page →

Enflo finite-expansion and localized-trace system

Definition

Let B be a Banach space generated by a sequence (ej)j1 that is linearly independent for finite sums. A linear operator T on the algebraic span is a finite-expansion operator if

Tej=iaijei

where the sum is finite for every fixed j. The union of these finite supports need not be finite. A finite-expansion operator need not have finite rank; when bounded it extends from the dense algebraic span to B.

For a nonempty finite subset M of the generators, define

Tr(M,T):=eiMaii,Tr~(M,T):=1MTr(M,T).

These are localized diagonal sums relative to the fixed independent generator; they are not asserted to be representation-independent tensor traces.

The generator has property A if for every finite sum x=jajej and every participating index k,

xakek.

For such a finite set M, write [M] for its finite-dimensional span and T(M):=sup0x[M]Tx/x.

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Enflo's quantitative localized-trace obstruction

Statement

Let B have a dense linearly independent generator with property A. Suppose there are pairwise disjoint nonempty finite subsets Mm of the generator and constants a>1, K>0 such that

Mm+1>Mma

and, for every bounded finite-expansion operator T,

Tr~(Mm+1,T)Tr~(Mm,T)KTlogMm.

Then every bounded finite-rank operator T satisfies

IT(Mm)1CTlogMm,C:=K1a1.

Consequently B has no λ-BAP for any finite λ.

Facts & Assumptions

[L1]

Finite-expansion matrices, normalized localized trace, property A, and (M) have the fixed-generator meanings of Enflo finite-expansion and localized-trace system.

[L2]

λ-BAP gives norm-λ finite-rank approximations uniformly on each compact set (Approximation property and bounded approximation property).

Proof

technique · direct

Given: The objects and hypotheses in the Statement.

1.1

Every bounded finite-rank T is an operator-norm limit of finite-rank [given, L1] finite-expansion operators. Indeed, choose a finite basis f1,,fr of T(B) and bounded coefficient functionals bj with Tx=jbj(x)fj. Approximate each fj by a finite linear combination fj of the dense generators so that Tx=jbj(x)fj has TT<ε. Each Tek has finite expansion.

L1finite-dimensional coordinatesdense span
2.1

If T is finite expansion and ekM, property A gives

givenL1step 1.1

akkTekekT(M).

Averaging over M yields Tr~(M,T)T(M). [L1, property A]

3.1

If T is also finite rank, its range is spanned by finitely many of the [given, L1, step 2.1] vectors Tej, hence is contained in the span of a finite subset of the generator. Because the Mk are disjoint, its diagonal coefficients on Mk vanish for all sufficiently large k. Thus Tr~(Mk,T)0.

L1finite rankdisjointness
4.1

Apply step 2.1 to IT on Mm and telescope step 3.1:

givenstep 2.1step 3.1

IT(Mm)1Tr~(Mm,T)1KTk=m1logMk.

The growth hypothesis gives logMk>akmlogMm, so the geometric sum is at most ((1a1)logMm)1. This proves the estimate for finite-rank finite-expansion T. [steps 2.1, 3.1, trace hypothesis, geometric series]

5.1

For arbitrary bounded finite-rank T, take the approximants from step 1.1 [given, step 1.1, step 4.1] and pass to the limit in the operator norm, the restriction norm, and the right-hand side. This proves the displayed estimate in full generality.

steps 1.14.1
6.1

If B had λ-BAP, choose m with [given, L2, step 5.1] Cλ/logMm<1/2. The unit ball of finite-dimensional [Mm] is compact, so [L2] would give a finite-rank T with Tλ and IT(Mm)<1/2, contradicting step 5.1.

L2step 5.1finite-dimensional compactness
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Enflo's Walsh-block estimates and symmetry average

Statement

Fix a positive integer n. Let H=Z22n, let Rj(a)=(1)aj, and, for 0m2n, let Wm be the products of m distinct Rj and put Fm=wWmw. If a is the number of nonzero coordinates of a, then

  1. Fm(0)=Fm=(2nm);
  2. if a=1, then Fm(a)=(1m/n)Fm;
  3. if 0<a<2n, then Fn1(a)=Fn+1(a)n1Fn1;
  4. if b is the coordinatewise complement of a, then Fm(a)=(1)mFm(b).

Let G be the finite group of sup-norm isometries generated by coordinate permutations and translations on E=span(Wn1Wn+1). For every linear T:EE there is UG such that, with

f=Fn1/Fn1Fn+1/Fn+1,

Tr~(Wn1,T)Tr~(Wn+1,T)2nTUfUf.

Facts & Assumptions

[L1]

Normalized localized trace means the average of diagonal coefficients in the displayed fixed basis (Enflo finite-expansion and localized-trace system).

Proof

technique · direct

Given: The objects and hypotheses in the Statement.

1.1

Every wWm equals one at zero, and there are [given] (2nm) such products; the triangle inequality proves item 1. If a=1, exactly (2n1m1) summands change sign, so Fm(a)=(2nm)2(2n1m1)=(1m/n)(2nm). This proves item 2.

algebra
2.1

Multiplying the choices coordinatewise gives the generating identity

givenstep 1.1

m=02nzmFm(a)=(1z)a(1+z)2na.

If b is the coordinatewise complement of a, then each Walsh monomial of degree m changes by (1)m, which proves item 4. The same generating polynomial also satisfies

z2nPa(1/z)=(1)aPa(z),Pa(z):=(1z)a(1+z)2na.

Comparing reciprocal coefficients gives

F2nm(a)=(1)aFm(a),

and in particular Fn+1(a)=(1)aFn1(a). [finite product, coefficient comparison]

3.1

Put r=a. Cauchy's coefficient formula on the unit circle gives

givenstep 2.1

Fm(a)=22n2πππ(i)rei(nm)θsinr(θ/2)cos2nr(θ/2)dθ.

The reciprocal identity in step 2.1 gives Fn1(a)=Fn+1(a). Taking absolute values in the integral gives

Fn±1(a)22nπIr,Ir:=0πsinr(θ/2)cos2nr(θ/2)dθ.

Here I2=I2n2 by the substitution θπθ. When n3 and 2<r<2n2, put λ=(2n2r)/(2n4). The integrand defining Ir is

(sin2(θ/2)cos2n2(θ/2))λ(sin2n2(θ/2)cos2(θ/2))1λ,

so weighted Hölder gives IrI2λI2n21λ=I2. For a vector e of weight two, the endpoint calculation in the same Cauchy formula gives (22n/π)I2=Fn(e), and direct coefficient comparison gives

Fn(e)=(2n2n)2(2n2n1)+(2n2n2)=12n1(2nn)1n(2nn1)

for n2. The weights r=1 and r=2n1 follow from item 2 and complementation; r=2 and r=2n2 follow from the endpoint estimate. For n=1, the only intermediate weight is r=1, already covered by item 2. This proves item 3 in every case. [step 2.1, coefficient integral, weighted Hölder, binomial arithmetic]

4.1

Average T over the finite group: T~=G1UGU1TU. Coordinate permutations and translations permute each Walsh layer up to signs, so [L1] gives Tr~(Wn±1,T~)=Tr~(Wn±1,T), and the group average commutes with every element of G.

givenL1step 3.1

Write the matrix of T~ in the Walsh basis. For two distinct Walsh characters v,w, choose a translation Ut for which Utv=v(t)v and Utw=w(t)w have opposite signs. Commutation with Ut forces the (v,w) matrix coefficient of T~ to be its own negative, hence to vanish. Thus T~ is diagonal in the Walsh basis. Coordinate permutations act transitively on each Wn±1, so its diagonal coefficients have constant values λ on Wn1 and λ+ on Wn+1. Consequently

T~f=λFn1Fn1λ+Fn+1Fn+1,

and evaluation at zero gives

Tr~(Wn1,T)Tr~(Wn+1,T)T~f.

[L1, finite group average, Walsh orthogonality]

5.1

The average defining T~f implies that some UG has [given, step 4.1] TUfT~f. Items 1, 3, and 4 give f2/n, while item 2 gives equality at every point of weight one. Hence f=2/n>0. Since U is an isometry, Uf=2/n. Combining these facts with step 4.1 gives the displayed bound.

step 3.14.1algebra
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Enflo's Walsh-block assembly

Statement

Assume AC. There is a separable reflexive real Banach space B, a dense linearly independent generator with property A, pairwise disjoint finite subsets Mm of that generator, and constants b>1, K>0 such that

Mm+1>Mmb

and every bounded finite-expansion T satisfies

Tr~(Mm+1,T)Tr~(Mm,T)KTlogMm.

Consequently the logarithmic finite-rank lower bound of Enflo's trace lemma holds on B.

Facts & Assumptions

[A1]
[L1]

Enflo's fixed-generator trace criterion converts the two displayed block hypotheses into the logarithmic finite-rank lower bound (Enflo's quantitative localized-trace obstruction).

[L2]

The two adjacent Walsh layers satisfy the exact symmetry trace estimate with factor 2/n (Enflo's Walsh-block estimates and symmetry average).

[L3]

Under AC, the real dominated Hahn--Banach theorem supplies Hahn--Banach; under Hahn--Banach, a closed subspace of a reflexive Banach space is reflexive (Hahn-Banach dominated extension theorem for real vector spaces, Closed subspaces of reflexive spaces are reflexive).

[L4]

Property A and localized traces have their fixed-generator meanings (Enflo finite-expansion and localized-trace system).

Proof

technique · direct

Given: The objects and hypotheses in the Statement.

1.1

Choose real numbers 1<b<α<γ with α<(2+γ)/(1+γ). Put

given

nm=αm,tm=(2nmnm1),km=tmγ.

After deleting finitely many initial indices, all are positive and strictly increasing. Let Km be the disjoint union of km copies Km,j of Z22nm, and let B1=(mC(Km))2. [explicit parameters]

2.1

The dual-coordinate argument identifies [given, step 1.1] B1 with (mC(Km))2: finite Hölder gives one inequality, and finite-dimensional compactness supplies norming vectors for each finite partial sum and hence the reverse. Applying the same argument to the bidual, and using finite-dimensional reflexivity of each C(Km), makes the canonical map onto. Thus B1 is reflexive. It is separable because it is the completion of a countable union of finite-dimensional rational spans.

algebra
3.1

In C(Km)C(Km+1) choose a set Mm of kmtm vectors so [given, step 2.1] that: (i) each vector has exactly one nonzero Km,j component, an element of Wnm+1; (ii) its components in Km+1,j are zero or elements of Wnm+11, and every such Walsh function occurs; and (iii) two distinct vectors never share the same nonzero component. Equivalently Mm is partitioned into Mm,j of size tm and is equipped with subsets Nm,jMm of size tm+1, with the Mm,j pairwise disjoint and the Nm,j linked to the next layer. No covering assertion is imposed; points outside the selected incidence region have multiplicity zero.

algebra
4.1

Require in addition the three incidence bounds

givenL4A1L3step 3.1

Nm,iNm,j2tm+1nm+1(ij),

Nm,jMm,imin{tm+1nm+1,tmnm},

and, with σ(e)={j:eNm,j},

eMm1kmtmσ(e)km+1tm+11nm+1.

These are Enflo's conditions 4--6. Let B be the closed span in B1 of mMm. The unique lowest nonzero block proves independence. To check [L4]'s property A, fix a finite combination x=eaee, a participating generator e0, and one component block Kr,i. If e0 vanishes there, the componentwise estimate is trivial. Otherwise the nonzero restrictions of the participating generators are distinct Walsh characters: property (iii) handles characters from the same Mm, and the two possible adjacent layers have different degrees. Walsh orthogonality makes the normalized L2 norm of xKr,i at least ae0, so its supremum norm is at least ae0 as well. Taking the maximum over i for each C(Kr) coordinate and then the Hilbertian sum over r gives xae0e0. Thus property A holds with the full generator norm, including both adjacent nonzero coordinates. Countably many generators give separability, and [A1] is used through [L3] to make the closed subspace B reflexive. [A1, L3, L4, steps 2.1, 3.1]

5.1

For a finite-expansion T, condition 6 and property A give

givenL4step 4.1

Tr~(Mm,T)1km+1j=1km+1Tr~(Nm,j,T)Tnm+1.

Indeed the left side is the weighted sum of the diagonal coefficients a(e), each bounded by T via property A, and condition 6 is exactly the total weight error. [L4, step 4.1]

6.1

Fix j and put E=[Nm,jMm+1,j]. Delete from each finite expansion of Te the terms outside this generator set, obtaining T:EE. The localized traces of T and T on the two displayed sets agree, and Tx=Tx on Km+1,j. Restriction to that block identifies E with the two Walsh layers in [L2]. Write

givenL2step 5.1

 ⁣x ⁣=maxpKm+1,jx(p).

The vector supplied by [L2] therefore satisfies

Tr~(Nm,j,T)Tr~(Mm+1,j,T)2nm+1 ⁣Tx ⁣ ⁣x ⁣.

Its values on every other Km+1,i have modulus at most Nm,iNm,j/tm+12/nm+1 by condition 4. Its values on Km,i and Km+2,i have modulus at most 1/nm+1 by the two parts of condition 5, while [L2] gives  ⁣x ⁣2/nm+1. Thus the middle block has sup norm  ⁣x ⁣, each adjacent outer block has sup norm at most half of that, and all other blocks vanish. Since the ambient sum is Hilbertian, x3/2 ⁣x ⁣<2 ⁣x ⁣. Also  ⁣Tx ⁣TxTx. Hence

Tr~(Nm,j,T)Tr~(Mm+1,j,T)4Tnm+1.

Averaging in j and combining with step 5.1 yields

Tr~(Mm+1,T)Tr~(Mm,T)5Tnm+1.

[L2, steps 3.1, 4.1, 5.1]

7.1

It remains to realize the incidences. Put

givenstep 6.1

Lm=kmtm+1,νm=km+1Lmtm,

and identify each Walsh layer with a cyclic group of the corresponding cardinality. Inside {1,,Lmtm+1}×Ztm, enumerate

(j,jρ+k),ρ=0,1,2,,k=0,,tm1,j=1,,Lmtm+1,

first by increasing ρ, then k, then j. Take the first km+1 successive blocks of tm+1 points as Nm,1,,Nm,km+1. Each such block meets every Mm,i={i}×Ztm in at most one point, so condition 5 holds eventually. [explicit lexicographic construction]

8.1

Put Am={1,,Lmtm+1}×Ztm and qm=km+1/(Lmtm). Every point of Am occurs once at each complete ρ-level, so its multiplicity σ(e) among the selected blocks differs from qm by at most one; points outside Am have multiplicity zero. Since Am=Lmtm+1tm,

givenstep 7.1

eMm1kmtmσ(e)km+1tm+12tm+1km+kmtmkm+1tm+1.

Both terms are o(1/nm+1): their exponential orders are respectively tmαγ+o(1) and tm(γ+1)(1α)+o(1). Thus condition 6 holds after discarding finitely many indices. [step 1.1, balanced incidence count]

8.2

Suppose two distinct selected blocks share a point represented both as (j,jρ1+k1) and (j,jρ2+k2). The injectivity at a fixed ρ-level gives ρ1ρ2, and ρ1ρ2νm. For any other common point whose first coordinate differs by μ, congruence in Ztm gives

givenstep 1.1step 7.1

tmμ(ρ1ρ2),μtmρ1ρ2tmνm.

Moreover

tmνmLmtm2km+1kmtm2tm+1km+1=tmγ+2α(γ+1)+o(1).

The exponent is positive precisely because α<(2+γ)/(1+γ), so eventually tm/νm>nm+1. The common first coordinates lie in an interval of length less than tm+1 and are more than nm+1 apart. There are therefore at most 1+tm+1/nm+12tm+1/nm+1 of them. This proves condition 4. Together with steps 7.1--8.1, all three incidence conditions hold after a finite reindexing. [step 1.1, finite arithmetic count, Stirling estimate]

9.1

Finally [given, L1, step 6.1, step 8.2] logMm=log(kmtm)(γ+1)(2log2)nm. Therefore Mm+1>Mmb eventually and 5/nm+1K/logMm for one constant K. Step 6.1 supplies the trace hypothesis, so [L1] gives the claimed logarithmic finite-rank lower bound.

L1step 1.16.1algebra
TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-14Open item page →

Reflexive approximation property implies metric approximation property

Statement

Assume the Axiom of Choice. If a real or complex reflexive Banach space X has the approximation property, then it has the metric approximation property. Equivalently, for every norm-compact KX and every ε>0 there is a bounded finite-rank T:XX such that

T1,supxKTxx<ε.

Facts & Assumptions

[A1]

The Axiom of Choice holds (The Axiom of Choice).

[L1]

AP and λ-BAP mean compact-uniform approximation of the identity by finite-rank operators, with λ-BAP imposing norm at most λ (Approximation property and bounded approximation property). Here MAP denotes 1-BAP.

[L2]

Reflexivity means that the canonical isometry JX:XX is onto (Reflexivity is surjectivity of the canonical map), equivalently its closed unit ball is weakly compact (Reflexive iff unit ball weakly compact).

[L4]

Under AC, L2 is reflexive and weak compactness is equivalent to weak sequential compactness (Reflexivity of Lp for one less p less infinity, Eberlein–Šmulian theorem).

[L5]

Under Countable Choice, L1 of a sigma-finite, countably generated measure space is separable (If μ is sigma-finite and A is countably generated, then Lp(μ) is separable for 1p<). Assumption [A1] supplies Countable Choice by restriction to countable families.

Proof

technique · Grothendieck's nuclear--integral tensor criterion

Given: AC and a reflexive Banach space X with AP.

1.1

Set up the tensor and operator norms. For Banach spaces E,F and u=j=1nejfj, put

givenL1construct

π(u)=infjejfj,ε(u)=supeBE,fBFje(ej)f(fj).

Their completions are E^πF and E^εF. A tensor u=nenfnE^πF induces the nuclear operator Su(e)=nen(e)fn; the nuclear norm is the quotient of π by the kernel of uSu.

For later use, call S:EF integral when

BS(e,f)=f(Se)

extends continuously to E^εF; its norm is the norm of that functional. Call S Pietsch integral when there are a finite measure μ and bounded maps

EUL(μ)IL1(μ)RF

with S=RIU; its Pietsch norm is the infimum of RUμ(Ω) after the harmless normalization of μ. Every nuclear map is Pietsch integral and every Pietsch-integral map is integral, with

SISPISN.

1.2

Prove the vector-density fact for a reflexive range. We need the following local form of the Radon--Nikodym theorem: if m is a countably additive X-valued measure of bounded variation and mμ for a finite positive measure μ, then

A1L2L3L4L5

m(A)=Agdμ

for a Bochner-integrable g:ΩX. We give the operator proof because this fact is load-bearing below.

First suppose that a weakly compact operator T:L1(μ)Y has separable range. Replacing Y by the separable closed span of T[L1], choose a countable norming set (yn)BY and put

y=n12nyn(y).

On the weakly compact closure K of T[BL1], this metric induces the weak topology: the identity from weak K to -metric K is continuous by uniform convergence of the displayed series, and compactness then makes it a homeomorphism. If Z is the completion of (Y,) and j:YZ is the inclusion, jT is compact.

The dual L(μ) has MAP directly. Given a norm-compact CL and δ>0, choose a finite δ-net f1,,fq in C, uniformly approximate the fi by simple functions, and let P be the common finite measurable partition on which those simple functions are constant. Averaging over each positive-measure cell (and putting zero on null cells) defines a norm-one finite-rank conditional-average map PP. The triangle inequality gives supfCPPff<4δ. The standard adjoint form of AP therefore approximates the compact operator jT in operator norm by finite-rank maps Tr:L1(μ)Z. Write

Trf=fgrdμ

with a finite-dimensional-valued strongly measurable gr. For such densities, TrTs=ess supgrgsZ: the easy inequality is Holder's inequality, and the reverse follows by testing on a positive-measure set where a norming functional almost attains the essential supremum. Thus (gr) converges in L(μ;Z) to a strongly measurable bounded g, and jTf=fgdμ.

For every A of positive measure,

1μ(A)Agdμ=jT ⁣(1Aμ(A))jK.

The function g lies in jK almost everywhere. Indeed, Z is separable; cover ZjK by countably many open balls whose closures miss jK. If the inverse image of one such ball had positive measure, the average of g over a smaller concentric inverse image would lie both in that ball and in jK, a contradiction. On K, the Z-norm topology is the weak topology of Y. Hence j1g is weakly measurable, essentially separably valued, and bounded in the original norm. To see strong measurability directly, use the norming sequence above: norm balls about a countable dense subset of Y are countable intersections of inverse images of scalar Borel sets, so choosing the first ball of radius 2q that contains j1g(ω) gives countably-valued measurable approximants; truncating their ranges gives simple functions converging pointwise in norm. Thus T is represented by an essentially bounded Bochner-measurable Y-valued density.

Now let T:L1(μ)Y be any weakly compact operator. The family of characteristic functions is relatively weakly compact in L1: it lies in the image of the closed set {hL2:h1} under the continuous inclusion L2L1, and that set is weakly compact by [L4]. For a sequence (An), restrict T to the L1 space of the countably generated sigma-algebra generated by the An. The restricted finite measure is sigma-finite, so this L1 space is separable by [A1] and [L5]. If D is a countable dense subset, continuity makes T(D) dense in the image of the restriction; the closed linear span of T(D) is therefore separable and contains that image. Thus the restriction has separable range and hence has the representation just proved. Representable maps are completely continuous on weakly convergent sequences: if fn0 in L1, then (fn) is uniformly integrable. For completeness, failure of uniform integrability would permit a gliding-hump subsequence on successively almost-disjoint small sets; putting the scalar sign of the selected fn on each hump produces one hL for which hfn stays bounded away from zero, contradicting weak convergence. A pointwise simple approximation to the bounded density, Egorov on a large set, and uniform integrability on its small complement reduce the assertion to finitely many scalar integrals Efndμ0. Consequently (T1An) has a norm-convergent subsequence. Thus {T1A:A measurable} is relatively norm compact and is separable. Characteristic functions span a dense subspace of L1, so the range of T is separable. The preceding paragraph now represents T.

Apply this to the integration operator

Tm:L1(m)X,Tmf=fdm.

It is bounded, and it is weakly compact because its range is in the reflexive space X by [L2]. Hence Tmf=fhdm for an essentially bounded Bochner-measurable h. Scalar Radon--Nikodym under [L3] gives m=wμ; then g=wh is Bochner integrable and m(A)=Agdμ. This proves the required density fact.

2.1

Use the density fact to identify nuclear and Pietsch-integral maps into X. Let S:EX be Pietsch integral and choose S=RIU as in step 1.1 with μ a probability measure. The vector measure ν(A)=R1A has variation at most Rμ and is absolutely continuous with respect to μ. By step 1.2 it has a Bochner density gL1(μ;X), and equality first on simple functions and then by density gives

step 1.1step 1.2

Rf=fgdμ(fL1(μ)).

Choose simple gqg in L1(μ;X). If gq=k1Akxk, then

e(Ue)gqdμ=kek(e)xk,ek(e)=AkUedμ,

and kekxkUgqdμ. Passing to the projective completion shows that S is nuclear and SNUR. Infimizing over factorizations and using the general inequalities of step 1.1 yields, isometrically,

N(E,X)=PI(E,X).

2.2

Identify Pietsch-integral and integral maps into X. An integral S:EX has a factorization

L2L3step 1.1

JXS=RIU:EX

whose product norm can be chosen arbitrarily close to SI. Here is the factorization explicitly. By [L3] the relevant weak-star dual balls are compact. Embed the injective tensor product isometrically into the continuous functions on their product, extend BS without increasing its norm by [L3], and apply the real or complex Riesz--Markov suppliers in [L3] to represent that extension by a finite regular measure λ. Put Ue(e,x)=e(e), and define

Rf(x)=f(e,x)x(x)dλ.

Then R:L1(λ)X is bounded, and the identity defining BS gives JXS=RIU first after evaluation at each x and hence in X. Applying the polar decomposition of λ puts its total variation exactly into the product norm, proving the asserted infimum. Since JX is onto and isometric, JX1R is a factorization of S through I:LL1 with the same norm. Hence SPISI; the reverse inequality is general. Combining this with step 2.1 gives

N(E,X)=PI(E,X)=I(E,X)

isometrically.

2.3

Use AP to remove the projective-tensor kernel. Take uX^πX. After rescaling a nuclear representation we may write

L1step 1.1

u=n1xnxn,nxn<,xn0.

Indeed, choose successive finite-tensor approximants whose projective-norm errors are below 4q, write the difference in block q with total coefficient norm below 24q, and multiply its second factors by 2q while multiplying its first factors by 2q. The first-factor norms then have summable block totals and the second-factor norms tend to zero after normalizing each original elementary tensor.

Thus K0={0,x1,x2,} is compact. AP supplies finite-rank maps Rα for which supnRαxnxn0, and consequently

u=limαnxnRαxn

in projective norm. If the operator Su induced by u is zero and Rαx=kyk(x)yk, then

nxnRαxn=kSu(yk)yk=0.

Therefore u=0. The canonical quotient X^πXN(X,X) is injective, hence isometric.

3.1

Prove the isometric tensor criterion. Define

step 1.1step 2.2step 2.3

Q:X^πX(X^εX)

by

Q ⁣(nxnxn) ⁣(jyjyj)=n,jxn(yj)yj(xn).

By step 2.3 the domain is N(X,X) with its nuclear norm, and by the definition in step 1.1 the codomain is I(X,X). Under these identifications Q sends S to JXS. The two associated bilinear forms are literally equal,

BJXS(x,x)=JX(Sx)(x)=x(Sx)=BS(x,x),

so the integral norm is unchanged. Step 2.2 identifies the nuclear and integral norms on the domain. Hence Q is an isometry.

4.1

Derive finite-rank contractions from the criterion. Let F1 be the convex balanced set of finite-rank operators on X of norm at most one. The isometry in step 3.1 says, for every uX^πX,

L2L3step 3.1

π(u)=supTF1tr(TSu).

Reflexivity identifies every functional on X^πX with an operator on X, so the ordinary dual formula for the projective norm gives the same supremum over the full unit ball of L(X). The Hahn--Banach bipolar theorem from [L3] therefore makes F1 weak-operator dense in that unit ball. In particular, for every finite tuple x1,,xr, the tuple (x1,,xr) lies in the weak closure of

{(Tx1,,Txr):TF1}Xr.

This set is convex, so its weak and norm closures agree by [L3]. It follows that IX is in the strong-operator closure of F1: there is a net (Tα) of finite-rank contractions with Tαxx for every xX.

5.1

Upgrade pointwise convergence to MAP. Fix compact KX and ε>0. Choose a finite ε/3-net x1,,xr in K and then α so that Tαxixi<ε/3 for all i. Since Tα1, any xK and a corresponding xi satisfy

L1step 4.1

TαxxTα(xxi)+Tαxixi+xix<ε.

Thus X has MAP by [L1]. The zero space is covered by T=0. The proof works over both scalar fields; in the complex case every separation argument is applied to real parts. AC is the umbrella assumption for the supplier hypotheses and selections listed above: scalar Radon--Nikodym, Banach--Alaoglu and the weak-compactness/subsequence steps, real and complex Hahn--Banach (including separation and norming functionals), regular-measure representation, countably generated L1 separability, and the countable approximation and tensor-representation choices. [A1, L1, L3, step 1.2] ∎

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-14Open item page →

A separable reflexive Banach space without the approximation property

Statement

Assume AC. There exists a separable reflexive real Banach space B without the approximation property. Consequently B has no Schauder basis.

Facts & Assumptions

[A1]

The Axiom of Choice holds (The Axiom of Choice).

[L1]

The Walsh-block assembly produces a separable reflexive space B whose finite-rank operators satisfy Enflo's logarithmic lower bound (Enflo's Walsh-block assembly).

[L2]

That lower bound excludes every finite BAP constant (Enflo's quantitative localized-trace obstruction).

[L3]

Under AC, a reflexive space with AP has MAP (Reflexive approximation property implies metric approximation property).

[L4]

Under DC, every Schauder basis has a finite basis constant, and a space with such a basis has BAP (Coordinate functionals of a Schauder basis are bounded, A Schauder basis implies the bounded approximation property).

Proof

technique · contradiction through Grothendieck's tensor criterion

Given: AC.

1.1

Take the separable reflexive space B supplied by [L1].

A1L1
1.2

The logarithmic lower bound and [L2] show that B has no BAP.

L1L2
2.1

Rule out AP using the reflexive MAP theorem. If B had AP, its reflexivity and [L3] would give MAP, hence BAP, contradicting step 1.2. Therefore B has no AP.

L3step 1.2
3.1

Rule out a Schauder basis and close the boundary cases. If B had a Schauder basis, AC would supply DC and [L4] would give BAP, again contradicting step 1.2. Thus B has no Schauder basis. The zero-space case is irrelevant because the constructed space has a nonempty independent generator; real scalars are part of [L1].

A1L1L4step 1.2
RemarkRemark: Literature-sourcedProof: Not applicableaudited 2026-09-14 sources checked 2026-09-14 not proved hereOpen item page →
Recorded, not proved here. This statement is included so the library can refer to it honestly, with a citation to the literature. It is not proved anywhere in this library: the track that would prove it has not been developed here yet.

Enflo's space without the approximation property

Remark

Enflo's Theorem 1 constructs, in the ordinary ZFC setting, a separable reflexive Banach space without the approximation property. The theorem's own quantitative conclusion is stronger: there are finite-dimensional subspaces Mn, with dimMn, and C>0 such that every finite-rank T satisfies

TI(Mn)1CTlogdimMn.

This recorded item is non-load-bearing. Under DC, the locally proved implication from a Schauder basis to BAP shows that Enflo's space has no Schauder basis. The pair supplies the Grothendieck reflexive-AP-implies-MAP theorem locally, so the AP conclusion is no longer blocked on a missing external prerequisite; the proof-bearing retirement above carries its own review record, and this historical leaf does not substitute for it.

LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-14Open item page →

Finite-dimensional Auerbach bases

Statement

Every nonzero finite-dimensional real or complex normed space V has a basis (x1,,xn) with biorthogonal coordinate functionals (x1,,xn) such that

xi=xi=1(1in).

Proof

technique · extremal

Given: The objects and hypotheses in the Statement.

1.1

Fix a reference basis and use [L1] to identify Vn with a finite real [given, L1, L2] coordinate space (of twice the dimension in the complex case). By [L2], the product of n unit spheres is compact. The absolute determinant relative to the reference basis is continuous, so it attains a maximum there. The maximum is positive because the normalized reference basis is an admissible independent tuple. Let (x1,,xn) maximize it.

L1L2choose
2.1

The positive determinant makes (xi) a basis, and each xi=1 by construction. For any unit y and fixed i, multilinearity gives

givenstep 1.1

det(x1,,y,,xn)=xi(y)det(x1,,xi,,xn).

Maximality therefore gives xi(y)1, so xi1. Since xi(xi)=1 and xi=1, the reverse inequality holds. [step 1.1, determinant multilinearity]

3.1

The argument selects one maximizer from one nonempty compact set and does [given, step 2.1] not select bases for a family of spaces. Thus it uses no choice principle.

step 1.12.1
LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-14Open item page →

The Dvoretzky--Rogers finite-block estimate

Statement

Let r2, let V be a real or complex normed space of scalar dimension at least r(r1), and let d1,,dr>0. There are x1,,xrV such that xi2=di and, for every A{1,,r},

iAxi23iAdi.

Facts & Assumptions

[L1]

Every nonzero finite-dimensional normed space admits a normalized biorthogonal Auerbach basis (Finite-dimensional Auerbach bases).

Proof

technique · extremal

Given: The objects and hypotheses in the Statement.

1.1

The case r=2 is direct: choose any unit u and put [given, L1] xi=diu. The only nontrivial subset satisfies x1+x222(d1+d2)<3(d1+d2).

L1algebra
2.1

Suppose r3 and put n=r(r1). Choose an n-dimensional real [given, L1, step 1.1] subspace W of V (in the complex case, use the underlying real space). In Auerbach coordinates from [L1], compactness bounds the family of centered ellipsoids contained in the unit ball of W, so their determinants attain a maximum. After a linear change of coordinates, take that ellipsoid to be the Euclidean unit ball.

L1algebra
3.1

Dvoretzky--Rogers' contact-point induction gives boundary points Ap=(ap1,,app,0,,0), 1pr, satisfying

givenstep 2.1

j<papj2p1n,jpapj2=1.

For the induction step p, consider the ellipsoid

(1+ε)np+1j<puj2+(1+ε+ε2)(p1)jpuj21.

Its volume divided by that of the unit ball is

(1+ε+ε21+ε)(p1)(np+1)/2>1.

Maximality therefore says that this ellipsoid is not contained in the norm unit ball. A ray to a point witnessing noncontainment meets the norm-unit boundary at a point A(ε) in the interior of the ellipsoid. Since the Euclidean unit ball is contained in the norm unit ball, A(ε)21. Letting ε0 through a compact subsequence gives a common contact point Ap and, after subtracting A(ε)221 from the ellipsoid inequality and dividing by ε,

(np+1)j<papj2(p1)jpapj20.

An orthogonal rotation of the last np+1 coordinates makes all but the p-th of them zero without moving the earlier contact points. Since Ap2=1, the last inequality is exactly nj<papj2p1. [step 2.1, maximality, compact subsequence]

4.1

The triangular form and scalar Cauchy--Schwarz now give, for real λ1,,λr,

givenstep 3.1

p=1rλpAp22(2+r(r1)n)p=1rλp2=3p=1rλp2.

Because the maximal Euclidean ball lies in the norm unit ball, the same upper bound holds for the squared norm in W. [step 3.1, finite triangular sum]

5.1

Put xi=diAi and in step 4.1 take [given, step 4.1] λi=di for iA and 0 otherwise. Each Ai lies on the norm-unit boundary, so xi2=di, and the required subset inequality follows. The empty subset gives zero.

step 2.14.1
TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-14Open item page →

Dvoretzky--Rogers theorem

Statement

Assume Countable Choice. Every infinite-dimensional real or complex Banach space contains an unconditionally convergent series that is not absolutely convergent.

Facts & Assumptions

[A1]
[L1]

Each sufficiently high-dimensional finite block admits vectors with prescribed squared norms and the uniform subset-sum estimate (The Dvoretzky--Rogers finite-block estimate).

[L2]

Uniform smallness of all finite tails is equivalent to unconditional convergence in a Banach space (Equivalent forms of unconditional convergence).

Proof

technique · construction

Given: The objects and hypotheses in the Statement.

1.1

Put cn=(8n2)1 for n1. Since n1n2<2, we have ncn<1/4, while ncn=81/2n1/n=. Put N1=1 and, for m2, recursively take Nm to be the least integer greater than Nm1 such that nNmcn<4m. Thus

given

m(Nmn<Nm+1cn)1/2<.

[explicit least-index recursion, scalar series]

2.1

Let rm=Nm+1Nm. Infinite-dimensionality supplies a subspace of dimension at least rm(rm1) (the cases rm1 are chosen directly). Use [A1] exactly here to select, for all m, one family (xn)Nmn<Nm+1 given by [L1] with dn=cn. Then xn=1/(8n) and every subset F of the mth block satisfies

givenA1L1step 1.1

nFxn3(nFcn)1/2.

[A1, L1, step 1.1]

3.1

For any finite set F contained in the tail beginning at NM, split it by blocks and use the triangle inequality and step 2.1:

givenL2step 2.1step 1.1

nFxn3mM(Nmn<Nm+1cn)1/2.

The right side tends to zero by step 1.1. Condition (3) of [L2] therefore holds, so nxn converges unconditionally. [L2, steps 1.1, 2.1]

4.1

On the other hand, [given, step 2.1, step 3.1] nxn=81/2n1/n=, so the same series is not absolutely convergent.

step 2.1algebra
CorollaryStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-14Open item page →

Universal agreement of absolute and unconditional convergence

Statement

Assume Countable Choice. For a Banach space X, every unconditionally convergent series in X is absolutely convergent if and only if X is finite-dimensional. The zero-dimensional case is included.

Facts & Assumptions

[A1]
[L1]

Every infinite-dimensional Banach space has an unconditional nonabsolute series under Countable Choice (Dvoretzky--Rogers theorem).

[L2]

Finite-dimensional coordinate maps and their inverses are continuous (A chosen algebraic basis identifies a finite-dimensional normed space with a coordinate space).

[L3]

Unconditional convergence is equivalent to convergence under every bounded scalar multiplier (Equivalent forms of unconditional convergence).

Proof

technique · equivalence

Given: The objects and hypotheses in the Statement.

1.1

Suppose X has finite positive dimension with basis e1,,ed, [given, L3, L2] and write xn=jaj,nej. If nxn is unconditional, then for each j choose the bounded phases λn=aj,n/aj,n when aj,n0 and zero otherwise. By [L3], nλnxn converges; applying the continuous jth coordinate from [L2] shows naj,n<.

L2L3finite phases
2.1

The triangle inequality gives [given, step 1.1] xnjaj,nej. Summing and using step 1.1 over the finite set of coordinates proves nxn<. If X={0} the claim is immediate. Thus finite dimension implies universal agreement.

step 1.1finite sum
3.1

Conversely, if X is infinite-dimensional, [A1] and [L1] supply an [given, A1, L1, step 2.1] unconditionally convergent series that is not absolutely convergent. Universal agreement therefore fails. This proves the reverse implication and the equivalence.

A1L1

5 · Examples, counterexamples and false statements

None yet.

Sources