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Schauder Bases Approximation and Banach Space Pathologies
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Approximation and Compactness in C(K)
- Areas of Elementary Plane Figures
- Banach Alaoglu Goldstine and Krein Milman
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Compactness
- Compactness in Metric Spaces
- Complete Metrizability, Čech-Completeness, and Baire Category
- Completeness, Completion, and Uniform Continuity
- Complex Lp Spaces and Test-Function Conventions
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Convergence: Nets and Filters
- Convex and Semicontinuous Functions on Rⁿ
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Countability Axioms and Cardinal Functions
- Density Separability and Convolution in Lᵖ
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces Adjoint Operators and Annihilators
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Equivalent Forms of Completeness
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Finite Dimensional Normed Spaces and Riesz Lemma
- Foundations of the Real Numbers for Analysis
- Fubini and Change of Variables
- Geometric Hahn Banach and Convex Separation
- Hausdorff via the Diagonal
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Lebesgue Measure on Euclidean Space
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Measurable Functions and Simple Approximation
- Measures and Their Basic Properties
- Metric Spaces
- Mixed Partials, Taylor Formulae, and Extrema
- Modes of Convergence Egorov and Lusin
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Normed and Banach Spaces
- Norming and Separation under Hahn–Banach
- Order, Zorn's Lemma, and the Axiom of Choice
- Outer Measure and the Caratheodory Extension Theorem
- Partitions of Unity and Paracompactness
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Properties of the Integral and the Working FTC
- Radon Measures and the Riesz Markov Kakutani Theorem
- Reflexivity and Eberlein Smulian
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Separation Axioms: the Hierarchy
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Sigma Algebras and Borel Sets
- Signed and Complex Measures Hahn and Jordan
- Simple Field Extensions and the Construction of the Complex Numbers
- Subspaces, Products, and Quotients
- Suprema and Infima
- The Analytic Hahn Banach Theorem
- The Baire Principles of Functional Analysis
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- The Complex Exponential and Euler's Formula
- The Derivative and the Mean Value Theorems
- The Duality of Lᵖ and L^q
- The Exponential Function
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Lᵖ Spaces Holder Minkowski and Riesz Fischer
- The Radon Nikodym Theorem and Lebesgue Decomposition
- The Riemann Integral in Rᵐ and Jordan Content
- The Riemann Integral: Definition and Integrability
- The Topology of Euclidean Space
- The Total Derivative in ℝᵐ → ℝⁿ
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Urysohn's Lemma and the Tietze Extension Theorem
- Vector Spaces, Linear Subspaces, Span and Direct Sums
- Weak and Weak Star Topologies
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
Schauder basis and coordinate functionals
Definition
Let be a real or complex Banach space. A positively indexed sequence in means a function from to . Such a sequence is a Schauder basis of if for every there is a unique scalar family , written , such that
in the fixed displayed order. This notation denotes the zero-indexed series from Series and absolute convergence in a normed space whose term at is ; equivalently, in norm. The uniqueness is part of the definition.
For each , the algebraically defined map
is the th coordinate functional. It is linear: uniqueness applied to the expansions of and gives and . 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.
Partial-sum projections and basis constant
Definition
Let be a Schauder basis of , with its algebraic coordinate functionals . For define the partial-sum projection
and put . Each is linear, has finite-dimensional range, satisfies , and obeys ; these assertions use only uniqueness of coefficients.
If every is bounded and the real set is bounded above, the basis constant is
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 nor is used for an algebraic projection not yet known to be bounded.
The Schauder coefficient space is Banach
Statement
Let be a Schauder basis of the Banach space . Let be the vector space of scalar families , written , for which converges, and set
Then is a Banach space, and the summation map
is a bounded linear bijection with .
Facts & Assumptions
Every finite ordered basis has continuous coordinate maps (A chosen algebraic basis identifies a finite-dimensional normed space with a coordinate space).
Every has a unique norm-convergent expansion in (Schauder basis and coordinate functionals).
Proof
Given: The objects and hypotheses in the Statement.
The displayed formula is a norm on : definiteness follows because its [given, L2] value zero forces every partial sum, hence every coefficient since , to vanish. Linearity of and the remaining norm axioms follow termwise from the norm axioms in .
Let be Cauchy in . For fixed , apply the th coordinate [given, L1, step 1.1] map on to . By [L1], is Cauchy, so it has a scalar limit .
Given , choose so for . Fix and , and let in the finite sum. Coordinatewise convergence and continuity of finite sums give
The estimate is uniform in . [step 2.1, Cauchy, finite limit]
Fix . Since , its series has Cauchy tails. For [given, step 3.1] , step 3.1 applied to the two partial sums bounds the corresponding finite block for by . Hence the partial sums for are Cauchy in the Banach space , so . Step 3.1 then yields ; thus is complete.
For , norm continuity gives [given, L2, step 4.1] , so is bounded. Surjectivity and injectivity are respectively existence and uniqueness in [L2].
Coordinate functionals of a Schauder basis are bounded
Statement
Assume DC. If is a Schauder basis of a Banach space , then every coordinate functional and every partial-sum projection is bounded. Moreover
Facts & Assumptions
The Axiom of Dependent Choice holds (The axiom of dependent choice: a relation in which every element is related to something admits an -indexed chain).
The coefficient space is Banach and its summation map is a bounded linear bijection (The Schauder coefficient space is Banach).
Under DC, a bounded linear bijection between Banach spaces has bounded inverse (Bounded inverse theorem).
and the basis constant is the supremum of their norms (Partial-sum projections and basis constant).
Proof
Given: The objects and hypotheses in the Statement.
Apply [L2] to [L1]. The only choice use is [A1], through that bounded-inverse [given, L2, L1, A1] theorem. Thus is bounded.
Truncation , , satisfies , because every partial sum of is a partial sum of . Since and ,
for every , including . Hence . [L1, L3, step 1.1]
For ,
Because , taking norms gives . Thus every is bounded. [L3, step 2.1] ∎
A Banach space with a Schauder basis is separable
Statement
Every real or complex Banach space with a Schauder basis is separable.
Facts & Assumptions
Every vector has norm-convergent finite partial sums in the basis (Schauder basis and coordinate functionals).
Proof
Given: The objects and hypotheses in the Statement.
In the real case let consist of all finite linear combinations of the [given] basis vectors with rational coefficients. In the complex case use coefficients in . This is a countable union of countable finite products and hence is countable.
Given , first use [L1] to choose a basis partial sum within [given, L1, step 1.1] of . Approximate its finitely many scalar coefficients by rational, respectively Gaussian-rational, scalars closely enough that the resulting finite combination changes by less than . It belongs to and is within of . Thus is dense.
Unconditional convergence of a Banach-space series
Definition
Let be a normed space and let be a positively indexed family. The notation denotes the zero-indexed series whose term at is . This series is unconditionally convergent to if for every permutation , the rearranged series , interpreted by the same shift, converges in norm to .
This is different from absolute convergence, which means . The fixed-order series, all rearrangements, and the scalar series of norms are therefore kept distinct.
Unconditional and conditional Schauder bases
Definition
A Schauder basis of a Banach space is unconditional if, for every , its uniquely determined basis expansion
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 .
Equivalent forms of unconditional convergence
Statement
Let be a Banach space and let , written , be a positively indexed family. The following are equivalent.
- is unconditionally convergent.
- The net , directed by inclusion over finite subsets of , converges.
- For every there is such that for every finite .
- Every subseries , for , converges.
- For every bounded scalar family , the series converges.
In (1) and (2) the limit is the fixed-order sum.
Facts & Assumptions
Every Cauchy sequence in a Banach space converges (Banach space).
Unconditional convergence means convergence of every permutation to the same sum (Unconditional convergence of a Banach-space series).
Proof
Given: The objects and hypotheses in the Statement.
Suppose (3) fails, and enumerate finite subsets of by their finite codes. [given] Recursively build a listing as follows. At stage , first append the least positive integer not yet listed, let be the greatest integer listed so far, and then take the least coded finite set with and append its members in increasing order. The negation of (3) supplies such an after every finite stage, and least codes make the recursion unique.
No integer is listed twice, because every block 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 . Each is a consecutive block whose increment has norm at least , so the rearranged partial sums are not Cauchy. By [L2], (1) therefore implies (3).
Assume (3). Given , choose for . If finite [given, L1, step 2.1] both contain , their sums differ by two disjoint finite tail sums and hence by less than . In particular, the ordinary partial sums are Cauchy, so [L1] gives a limit . Applying (3) once more to a finite containing a sufficiently long initial segment shows . Thus the finite-subset net converges to , and (3) implies (2).
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).
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 from step 1.1, listed increasingly, would define a subseries having successive block increments of norm at least , hence not Cauchy. Thus (3) and (4) are equivalent.
Assume (3), let , and take a finite tail set . A finite layer-cake decomposition shows that for , is a convex combination of subset sums of . 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
(The factor is over the reals.) Condition (3) and [L1] now prove (5). Taking to be the indicator of an infinite subset shows that (5) implies (4). [L1, (3), finite convexity]
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.
Approximation property and bounded approximation property
Definition
Let be a Banach space. It has the approximation property (AP) if for every norm-compact set and every there is a bounded finite-rank operator such that
Here finite rank means that is finite-dimensional.
For , has the -bounded approximation property (-BAP) if the same assertion holds with the additional operator-norm bound , 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 -BAP for some finite .
No sequence of approximating operators is required; this matters in nonseparable spaces. Plainly -BAP implies AP.
Uniformly bounded pointwise-convergent operators converge uniformly on compact sets
Statement
Let be normed spaces and let be bounded linear operators with . If for every , then is bounded and uniformly on every norm-compact subset of .
Facts & Assumptions
For a bounded linear operator, (The operator norm as the least bound and as the unit-sphere or unit-ball supremum).
The maps are bounded linear operators (A bounded linear operator between normed spaces).
Proof
Given: The objects and hypotheses in the Statement.
Passing to limits in the linear identities for [L2] shows that is [given, L2, L1] linear. By [L1], , so is bounded and .
Put . If , every and is zero and the result [given, step 1.1] is immediate. Suppose , fix compact and , and choose a finite -net in .
Pointwise convergence gives such that for all and . For choose with . Then [L1] gives
Thus convergence is uniform on . [L1, step 2.1, finite maximum] ∎
A Schauder basis implies the bounded approximation property
Statement
Assume DC. If a Banach space has a Schauder basis with basis constant , then has -BAP, and hence AP.
Facts & Assumptions
Under DC, the partial-sum projections are bounded and satisfy (Coordinate functionals of a Schauder basis are bounded).
By the defining expansion of a Schauder basis, for every (Schauder basis and coordinate functionals).
Uniformly bounded pointwise-convergent bounded operators converge uniformly on compact sets (Uniformly bounded pointwise-convergent operators converge uniformly on compact sets).
-BAP is compact-uniform approximation of the identity by finite-rank maps of norm at most (Approximation property and bounded approximation property).
Proof
Given: The objects and hypotheses in the Statement.
Each has range in and hence [given, L1, A1, L2] has finite rank. By [L1], using [A1] exactly through the coordinate-boundedness theorem, ; by [L2], for every .
Apply [L3] to and the identity. On each compact , [given, L3, L4, step 1.1] . Together with step 1.1, [L4] says precisely that has -BAP. Since BAP implies AP by [L4], the consequence follows.
Finitely additive charges and total variation on the power set of N
Definition
A real or complex charge on is a function such that and
whenever and are disjoint. Only finite additivity is required.
For , its total variation is
Empty cells may be deleted, and . The vector space consists of the charges with .
Countable additivity is a strictly stronger property and is not part of this definition.
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
consists of bounded scalar sequences with the supremum norm (The sequence spaces c_0 and ell-infinity).
Proof
Given: The objects and hypotheses in the Statement.
Let and . In the real case partition the [given, L1] bounded interval containing all into finitely many half-open intervals of length below , and replace every by a fixed endpoint of its cell. The resulting sequence has finite range and .
In the complex case partition a square containing all into finitely [given, L1, step 1.1] many squares of side below and replace by one corner of the containing cell. Again has finite range and . This proves density in both scalar fields.
The finitely additive integral on ell-infinity
Definition
Let . If a finite-range sequence is written using a finite disjoint partition of as
define its finitely additive integral provisionally by
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 .
No countably additive integration theorem is being used here.
The finitely additive integral is well-defined and isometric
Statement
For every , the finite-range formula is representation-independent and has a unique bounded linear extension . Moreover
Consequently is a linear isometry into .
Facts & Assumptions
Finite-range sequences are uniformly dense in , and the finite-range integral is the partition formula (The finitely additive integral on ell-infinity).
The scalar fields and are complete (The reals are complete, The complex plane is complete, and convergence is equivalent to convergence of real and imaginary parts).
Proof
Given: The objects and hypotheses in the Statement.
Two partition representations of have the common refinement [given, L1] . Finite additivity replaces each original summand by its sum over the refinement; because both coefficients equal on a nonempty cell, the two refined sums agree. Thus is well-defined and linear.
For a partition representation,
Hence is bounded with norm at most . [L1, definition of variation]
Use the fixed dyadic grid to define a finite-range quantization [given, L2, step 2.1] with (coordinatewise in a square over ). Step 2.1 makes Cauchy; [L2] supplies its limit. The same estimate shows independence of any approximating finite-range sequence, linearity, uniqueness, and the bound .
Given , choose a finite partition with [given, step 3.1] . Put when and otherwise (the same sign formula over ). Then and its integral is . Thus ; letting proves equality. Linearity in is immediate from the formula.
The dual of ell-infinity is ba
Statement
The map
is a linear isometric isomorphism. Its inverse sends to the finitely additive integral .
Facts & Assumptions
For each finite-variation charge, is a bounded functional and (The finitely additive integral is well-defined and isometric).
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
Given: The objects and hypotheses in the Statement.
Let and put . Linearity and give finite additivity. For a finite partition choose scalar phases with . Then and [L2] gives
Thus and . [L2, finite additivity, phases]
By construction, . [given, L1, step 1.1] Linearity gives equality on finite-range sequences, and density plus boundedness gives on .
Conversely, , so the two maps are [given, L1, step 2.1] inverse. Finally [L1] gives , proving isometry and completing both surjectivity and injectivity.
Existence of a shift-invariant mean on bounded sequences
Statement
Assume the Axiom of Choice. There exists a positive real-linear functional such that
where . Moreover whenever the ordinary limit exists.
Facts & Assumptions
The Axiom of Choice holds (The Axiom of Choice).
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).
Cesaro means are finite averages (The Cesaro means and -summability), and limsup is subadditive ( whenever the right-hand side is defined in , and dually for ).
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
Given: The objects and hypotheses in the Statement.
For define [given, L2, L3] . This is finite because is bounded. Linearity of finite averages, positive homogeneity of limsup, and [L2] show that is sublinear in the sense of [L3].
Let be the subspace of ordinarily convergent sequences and let [given, L1, A1, step 1.1] on . Cesaro means preserve an ordinary limit, so on ; in particular . Apply [L1]. The exact non-finite choice use is [A1] in Hahn--Banach, producing a real-linear extension with for every .
If , then , hence [given, step 2.1] ; thus is positive. Since , . Positivity applied to gives , while gives the reverse norm bound. Therefore .
The Cesaro average of equals [given, step 2.1, step 1.1, step 3.1] and tends to zero; the same is true of . Therefore . Domination gives and , so and . On the original subspace , step 2.1 already says that extends the ordinary limit.
The countably additive part of ba is ell-one
Statement
Assume AC. A charge is countably additive exactly when there is such that
These charges form a proper linear subspace of .
Facts & Assumptions
AC holds (The Axiom of Choice).
A positive norm-one shift-invariant mean exists under AC (Existence of a shift-invariant mean on bounded sequences).
Functionals on correspond isometrically to finite-variation charges (The dual of ell-infinity is ba).
Proof
Given: The objects and hypotheses in the Statement.
Let be countably additive and put . For every , [given] the singleton partition of gives . Thus . Countable additivity applied to gives the displayed formula.
Conversely, if , absolute convergence makes [given, step 1.1] independent of enumeration and countably additive; also . This proves the equivalence and linearity of the subspace.
Use [A1] exactly through [L1], and let be the resulting mean. By [L2], [given, A1, L1, L2, step 2.1] is a charge. Shift invariance makes all singleton masses equal because . Moreover , so shift invariance and linearity give . Hence for every but , so it is not countably additive. The subspace is proper.
James space
Definition
Let as in The sequence spaces c_0 and ell-infinity, and use positive labels for its coordinates: if is the underlying sequence, then below means for . Likewise denotes the canonical vector supported at the underlying coordinate . If is a nonempty finite increasing tuple, define for , and for define
The James space is the real vector space
equipped with . The cyclic closing term and the factor are part of this fixed norm; later equivalent James norms are not being identified with it isometrically.
The James formula defines a norm
Statement
is a vector subspace of , the James formula is a norm on , and
Moreover and for .
Facts & Assumptions
The cyclic quadratic-variation seminorms and are as defined in James space.
Proof
Given: The objects and hypotheses in the Statement.
For fixed , is times the Euclidean norm of the [given, L1] finite vector of cyclic successive differences. Euclidean Minkowski gives and homogeneity is immediate. Taking suprema shows that is a vector subspace and gives the triangle inequality and homogeneity for .
For , the two-point tuple gives [given, L1, step 1.1] . Since for , letting yields . Taking the supremum proves the first displayed inequality and definiteness, including at .
For and , use [given, L1, step 2.1] in the cyclic sum. Every selected coordinate occurs twice before the factor , so . Taking the supremum gives and the second inequality.
James space is complete and separable
Statement
The real James space is a separable Banach space. Its standard unit vectors form a Schauder basis, and the coordinate truncations satisfy
Facts & Assumptions
James coordinate is the underlying coordinate , and is supported at that coordinate (James space).
The James formula is a norm, dominates the supremum norm, and satisfies on (The James formula defines a norm).
Real is complete for the supremum norm (Real and complex are Banach).
A Schauder basis requires existence and uniqueness of the norm-convergent coordinate expansion (Schauder basis and coordinate functionals).
Proof
Given: The objects and hypotheses in the Statement.
Let be Cauchy in . By [L1] it is Cauchy in , so [L2] [given, L1, L2] gives uniformly. For each fixed tuple , , whence . Letting in uniformly in yields . Thus is complete.
For in the positive labeling of [L0], define the auxiliary endpoint variation
(with ), and . Direct expansion gives . Appending an index to and using gives . Hence . [L1, endpoint expansion]
Finite-support sequences are dense. Indeed, for nonzero and , choose with . Choose a tuple with , append a sufficiently remote final index so this remains true, and ensure . Put . For any tuple meeting the tail, delete its indices at most and call the remaining tuple . Concatenating and in the definition of gives
Thus , and step 2.1 gives . The zero vector is already finite support. [step 2.1, finite concatenation, ]
Fix a tuple . If it lies wholly before or after , the two [given, step 2.1, step 3.1] contractive estimates for and are immediate. If it crosses , delete respectively the tail or the head. Expanding the one new jump to zero shows that the resulting -variation equals an auxiliary endpoint variation , hence is at most by step 2.1. Taking suprema proves both contractive inequalities.
Given and , step 3.1 gives finite-support with [given, L0, L3, step 3.1, step 4.1] . For beyond its support, step 4.1 gives . Coordinatewise uniqueness in the labeling of [L0] is immediate, so [L3] makes a Schauder basis.
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 is separable.
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 and coordinates. Under the pairing ,
and finite-support sequences are norm dense in . For a bounded real sequence and a nonempty positive tuple , let be the cyclic expression in James space (the same finite formula makes sense without assuming ), and define the endpoint variation by
For this gives . Then
isometrically. Every such has a unique representation with and , and the canonical image of is the summand with .
Facts & Assumptions
Countable Choice holds (The Axiom of Countable Choice ()).
is Banach, is dense, and its coordinate truncations and tails are contractions converging strongly to the identity (James space is complete and separable).
The defining James formula contains and satisfies for every (The James formula defines a norm).
The real dual of is represented uniquely by sequences under the series pairing (Counting measure specializes the representation theorem to and ).
Proof
Given: The objects and hypotheses in the Statement.
If , then [L2] makes bounded on because . [given, L1, L2, L3] By [L3] it is pairing with a unique . Density of in makes determine , and the displayed supremum is exactly its operator norm. Conversely, any with finite displayed supremum extends by continuity from dense to .
Dual coordinate truncation is pairing with . The two contraction [given, L1, step 1.1] estimates in [L1] therefore give and . The coordinate interpretation follows directly from the series pairing.
We prove the latter tails tend to zero. If instead their decreasing norms [given, A1, L1, step 2.1] stay above , then [A1] is used exactly here to choose, for each , a finite-support with , , and (change sign if needed). Starting at , put .
Form by placing on the coordinate block . To verify , split any finite increasing tuple into its intersections with these blocks. Each within-block endpoint variation is at most , and bounds every transition between blocks by the two adjacent endpoint terms. Consequently
where ; the equivalence in [L1]'s proof gives . But is unbounded, whereas [L1] makes . This contradicts , proving . [L1, step 3.1, block calculation]
Let and set . Since , is bounded. By step 4.1,
For each , the gradients of the finite Euclidean seminorms and are explicit finite-support functionals of of norm at most one (because ). Evaluating them on gives . Hence . [step 4.1, finite Euclidean duality]
Conversely, suppose bounded has [given, step 5.1] . It is Cauchy: otherwise some permits recursively choosing the lexicographically least with ; then the cyclic variation on the first indices is at least , contradicting . Let and . Then and , so .
For , the partial-sum functionals have norm at most one because that initial-block vector has James norm one. They converge on dense , and the uniform bound plus step 4.1 makes converge for every . Hence
is well-defined and linear. A tuple crossing the truncation point turns its cyclic variation into , while a tuple on one side gives either zero or ; therefore . Taking limits yields . [step 4.1, step 6.1, truncation cases]
Step 5.1 applied to gives the reverse norm inequality, so [given, step 5.1, step 6.1, step 7.1] . Steps 5.1 and 7.1 are inverse constructions and prove the isometric bidual model. Step 6.1 gives the unique splitting ; since elements of tend to zero, the canonical image is exactly .
The canonical image of James space has codimension one
Statement
Assume Countable Choice. The canonical image of is a closed subspace of codimension one in . In particular, is not reflexive.
Facts & Assumptions
Countable Choice holds (The Axiom of Countable Choice ()).
Under Countable Choice, is isometrically , and the canonical image is the zero-constant summand (Dual and bidual models for James space).
Reflexivity means surjectivity of the canonical map into the bidual (Reflexivity is surjectivity of the canonical map).
Proof
Given: The objects and hypotheses in the Statement.
By [A1] and [L1], the quotient of by its canonical summand is [given, A1, L1] identified by with . The scalar satisfies because singleton endpoint variations are , so the zero-constant summand is closed.
The constant sequence has bidual norm one and is not in the [given, L2, L1, step 1.1] canonical image, since elements of tend to zero. Thus the quotient is nonzero and exactly one-dimensional. The canonical map is not surjective, so [L2] says is not reflexive.
James space is isometrically isomorphic to its bidual
Statement
Assume Countable Choice. The James space is linearly isometric to its bidual , although its canonical embedding is not onto.
Facts & Assumptions
Countable Choice holds (The Axiom of Countable Choice ()).
Under Countable Choice, is the max-of-cyclic-and-endpoint variation sequence space, and every element is a constant plus an element of (Dual and bidual models for James space).
Proof
Given: The objects and hypotheses in the Statement.
Define by for . It is linear. If is a positive tuple, direct substitution gives
Every tuple for either contains or, after shifting down, has one of these two forms. Therefore [L1] gives ; in particular is injective. [A1, L1, direct calculation]
Let and set , supplied by [given, L1, step 1.1] [L1]. Define and for . Then , the identities in step 1.1 read backwards show , and . Thus is surjective and is a linear isometry.
This 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 reflexive.
Enflo finite-expansion and localized-trace system
Definition
Let be a Banach space generated by a sequence that is linearly independent for finite sums. A linear operator on the algebraic span is a finite-expansion operator if
where the sum is finite for every fixed . 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 .
For a nonempty finite subset of the generators, define
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 and every participating index ,
For such a finite set , write for its finite-dimensional span and .
Enflo's quantitative localized-trace obstruction
Statement
Let have a dense linearly independent generator with property A. Suppose there are pairwise disjoint nonempty finite subsets of the generator and constants , such that
and, for every bounded finite-expansion operator ,
Then every bounded finite-rank operator satisfies
Consequently has no -BAP for any finite .
Facts & Assumptions
Finite-expansion matrices, normalized localized trace, property A, and have the fixed-generator meanings of Enflo finite-expansion and localized-trace system.
-BAP gives norm- finite-rank approximations uniformly on each compact set (Approximation property and bounded approximation property).
Proof
Given: The objects and hypotheses in the Statement.
Every bounded finite-rank is an operator-norm limit of finite-rank [given, L1] finite-expansion operators. Indeed, choose a finite basis of and bounded coefficient functionals with . Approximate each by a finite linear combination of the dense generators so that has . Each has finite expansion.
If is finite expansion and , property A gives
Averaging over yields . [L1, property A]
If is also finite rank, its range is spanned by finitely many of the [given, L1, step 2.1] vectors , hence is contained in the span of a finite subset of the generator. Because the are disjoint, its diagonal coefficients on vanish for all sufficiently large . Thus .
Apply step 2.1 to on and telescope step 3.1:
The growth hypothesis gives , so the geometric sum is at most . This proves the estimate for finite-rank finite-expansion . [steps 2.1, 3.1, trace hypothesis, geometric series]
For arbitrary bounded finite-rank , 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.
If had -BAP, choose with [given, L2, step 5.1] . The unit ball of finite-dimensional is compact, so [L2] would give a finite-rank with and , contradicting step 5.1.
Enflo's Walsh-block estimates and symmetry average
Statement
Fix a positive integer . Let , let , and, for , let be the products of distinct and put . If is the number of nonzero coordinates of , then
- ;
- if , then ;
- if , then ;
- if is the coordinatewise complement of , then .
Let be the finite group of sup-norm isometries generated by coordinate permutations and translations on . For every linear there is such that, with
Facts & Assumptions
Normalized localized trace means the average of diagonal coefficients in the displayed fixed basis (Enflo finite-expansion and localized-trace system).
Proof
Given: The objects and hypotheses in the Statement.
Every equals one at zero, and there are [given] such products; the triangle inequality proves item 1. If , exactly summands change sign, so . This proves item 2.
Multiplying the choices coordinatewise gives the generating identity
If is the coordinatewise complement of , then each Walsh monomial of degree changes by , which proves item 4. The same generating polynomial also satisfies
Comparing reciprocal coefficients gives
and in particular . [finite product, coefficient comparison]
Put . Cauchy's coefficient formula on the unit circle gives
The reciprocal identity in step 2.1 gives . Taking absolute values in the integral gives
Here by the substitution . When and , put . The integrand defining is
so weighted Hölder gives . For a vector of weight two, the endpoint calculation in the same Cauchy formula gives , and direct coefficient comparison gives
for . The weights and follow from item 2 and complementation; and follow from the endpoint estimate. For , the only intermediate weight is , already covered by item 2. This proves item 3 in every case. [step 2.1, coefficient integral, weighted Hölder, binomial arithmetic]
Average over the finite group: . Coordinate permutations and translations permute each Walsh layer up to signs, so [L1] gives , and the group average commutes with every element of .
Write the matrix of in the Walsh basis. For two distinct Walsh characters , choose a translation for which and have opposite signs. Commutation with forces the matrix coefficient of to be its own negative, hence to vanish. Thus is diagonal in the Walsh basis. Coordinate permutations act transitively on each , so its diagonal coefficients have constant values on and on . Consequently
and evaluation at zero gives
[L1, finite group average, Walsh orthogonality]
The average defining implies that some has [given, step 4.1] . Items 1, 3, and 4 give , while item 2 gives equality at every point of weight one. Hence . Since is an isometry, . Combining these facts with step 4.1 gives the displayed bound.
Enflo's Walsh-block assembly
Statement
Assume AC. There is a separable reflexive real Banach space , a dense linearly independent generator with property A, pairwise disjoint finite subsets of that generator, and constants , such that
and every bounded finite-expansion satisfies
Consequently the logarithmic finite-rank lower bound of Enflo's trace lemma holds on .
Facts & Assumptions
AC holds (The Axiom of Choice).
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).
The two adjacent Walsh layers satisfy the exact symmetry trace estimate with factor (Enflo's Walsh-block estimates and symmetry average).
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).
Property A and localized traces have their fixed-generator meanings (Enflo finite-expansion and localized-trace system).
Proof
Given: The objects and hypotheses in the Statement.
Choose real numbers with . Put
After deleting finitely many initial indices, all are positive and strictly increasing. Let be the disjoint union of copies of , and let . [explicit parameters]
The dual-coordinate argument identifies [given, step 1.1] with : 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 , makes the canonical map onto. Thus is reflexive. It is separable because it is the completion of a countable union of finite-dimensional rational spans.
In choose a set of vectors so [given, step 2.1] that: (i) each vector has exactly one nonzero component, an element of ; (ii) its components in are zero or elements of , and every such Walsh function occurs; and (iii) two distinct vectors never share the same nonzero component. Equivalently is partitioned into of size and is equipped with subsets of size , with the pairwise disjoint and the linked to the next layer. No covering assertion is imposed; points outside the selected incidence region have multiplicity zero.
Require in addition the three incidence bounds
and, with ,
These are Enflo's conditions 4--6. Let be the closed span in of . The unique lowest nonzero block proves independence. To check [L4]'s property A, fix a finite combination , a participating generator , and one component block . If 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 , and the two possible adjacent layers have different degrees. Walsh orthogonality makes the normalized norm of at least , so its supremum norm is at least as well. Taking the maximum over for each coordinate and then the Hilbertian sum over gives . 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 reflexive. [A1, L3, L4, steps 2.1, 3.1]
For a finite-expansion , condition 6 and property A give
Indeed the left side is the weighted sum of the diagonal coefficients , each bounded by via property A, and condition 6 is exactly the total weight error. [L4, step 4.1]
Fix and put . Delete from each finite expansion of the terms outside this generator set, obtaining . The localized traces of and on the two displayed sets agree, and on . Restriction to that block identifies with the two Walsh layers in [L2]. Write
The vector supplied by [L2] therefore satisfies
Its values on every other have modulus at most by condition 4. Its values on and have modulus at most by the two parts of condition 5, while [L2] gives . Thus the middle block has sup norm , each adjacent outer block has sup norm at most half of that, and all other blocks vanish. Since the ambient sum is Hilbertian, . Also . Hence
Averaging in and combining with step 5.1 yields
[L2, steps 3.1, 4.1, 5.1]
It remains to realize the incidences. Put
and identify each Walsh layer with a cyclic group of the corresponding cardinality. Inside , enumerate
first by increasing , then , then . Take the first successive blocks of points as . Each such block meets every in at most one point, so condition 5 holds eventually. [explicit lexicographic construction]
Put and . Every point of occurs once at each complete -level, so its multiplicity among the selected blocks differs from by at most one; points outside have multiplicity zero. Since ,
Both terms are : their exponential orders are respectively and . Thus condition 6 holds after discarding finitely many indices. [step 1.1, balanced incidence count]
Suppose two distinct selected blocks share a point represented both as and . The injectivity at a fixed -level gives , and . For any other common point whose first coordinate differs by , congruence in gives
Moreover
The exponent is positive precisely because , so eventually . The common first coordinates lie in an interval of length less than and are more than apart. There are therefore at most 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]
Finally [given, L1, step 6.1, step 8.2] . Therefore eventually and for one constant . Step 6.1 supplies the trace hypothesis, so [L1] gives the claimed logarithmic finite-rank lower bound.
Reflexive approximation property implies metric approximation property
Statement
Assume the Axiom of Choice. If a real or complex reflexive Banach space has the approximation property, then it has the metric approximation property. Equivalently, for every norm-compact and every there is a bounded finite-rank such that
Facts & Assumptions
The Axiom of Choice holds (The Axiom of Choice).
AP and -BAP mean compact-uniform approximation of the identity by finite-rank operators, with -BAP imposing norm at most (Approximation property and bounded approximation property). Here MAP denotes -BAP.
Reflexivity means that the canonical isometry is onto (Reflexivity is surjectivity of the canonical map), equivalently its closed unit ball is weakly compact (Reflexive iff unit ball weakly compact).
Under AC, Hahn--Banach separation is available over both scalar fields, dual balls are weak-star compact, bounded functionals on have finite regular representing measures over either scalar field, and scalar Radon--Nikodym densities exist (Hahn-Banach dominated extension theorem for real vector spaces, A bounded complex linear functional on a subspace of a complex normed space extends with the same norm, Banach–Alaoglu, A bounded real C_0(X) functional is a difference of positive functionals, Positive C_0(X) functionals have finite regular representing measures, The bounded complex dual of C_0(X) is regular complex measures, A sigma-finite signed measure that is absolutely continuous with respect to a sigma-finite positive measure has a unique almost-everywhere density).
Under AC, is reflexive and weak compactness is equivalent to weak sequential compactness (Reflexivity of Lp for one less p less infinity, Eberlein–Šmulian theorem).
Under Countable Choice, of a sigma-finite, countably generated measure space is separable (If is sigma-finite and is countably generated, then is separable for ). Assumption [A1] supplies Countable Choice by restriction to countable families.
Proof
Given: AC and a reflexive Banach space with AP.
Set up the tensor and operator norms. For Banach spaces and , put
Their completions are and . A tensor induces the nuclear operator ; the nuclear norm is the quotient of by the kernel of .
For later use, call integral when
extends continuously to ; its norm is the norm of that functional. Call Pietsch integral when there are a finite measure and bounded maps
with ; its Pietsch norm is the infimum of after the harmless normalization of . Every nuclear map is Pietsch integral and every Pietsch-integral map is integral, with
Prove the vector-density fact for a reflexive range. We need the following local form of the Radon--Nikodym theorem: if is a countably additive -valued measure of bounded variation and for a finite positive measure , then
for a Bochner-integrable . We give the operator proof because this fact is load-bearing below.
First suppose that a weakly compact operator has separable range. Replacing by the separable closed span of , choose a countable norming set and put
On the weakly compact closure of , this metric induces the weak topology: the identity from weak to -metric is continuous by uniform convergence of the displayed series, and compactness then makes it a homeomorphism. If is the completion of and is the inclusion, is compact.
The dual has MAP directly. Given a norm-compact and , choose a finite -net in , uniformly approximate the by simple functions, and let 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 . The triangle inequality gives . The standard adjoint form of AP therefore approximates the compact operator in operator norm by finite-rank maps . Write
with a finite-dimensional-valued strongly measurable . For such densities, : 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 converges in to a strongly measurable bounded , and .
For every of positive measure,
The function lies in almost everywhere. Indeed, is separable; cover by countably many open balls whose closures miss . If the inverse image of one such ball had positive measure, the average of over a smaller concentric inverse image would lie both in that ball and in , a contradiction. On , the -norm topology is the weak topology of . Hence 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 are countable intersections of inverse images of scalar Borel sets, so choosing the first ball of radius that contains gives countably-valued measurable approximants; truncating their ranges gives simple functions converging pointwise in norm. Thus is represented by an essentially bounded Bochner-measurable -valued density.
Now let be any weakly compact operator. The family of characteristic functions is relatively weakly compact in : it lies in the image of the closed set under the continuous inclusion , and that set is weakly compact by [L4]. For a sequence , restrict to the space of the countably generated sigma-algebra generated by the . The restricted finite measure is sigma-finite, so this space is separable by [A1] and [L5]. If is a countable dense subset, continuity makes dense in the image of the restriction; the closed linear span of 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 in , then 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 on each hump produces one for which 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 . Consequently has a norm-convergent subsequence. Thus is relatively norm compact and is separable. Characteristic functions span a dense subspace of , so the range of is separable. The preceding paragraph now represents .
Apply this to the integration operator
It is bounded, and it is weakly compact because its range is in the reflexive space by [L2]. Hence for an essentially bounded Bochner-measurable . Scalar Radon--Nikodym under [L3] gives ; then is Bochner integrable and . This proves the required density fact.
Use the density fact to identify nuclear and Pietsch-integral maps into . Let be Pietsch integral and choose as in step 1.1 with a probability measure. The vector measure has variation at most and is absolutely continuous with respect to . By step 1.2 it has a Bochner density , and equality first on simple functions and then by density gives
Choose simple in . If , then
and . Passing to the projective completion shows that is nuclear and . Infimizing over factorizations and using the general inequalities of step 1.1 yields, isometrically,
Identify Pietsch-integral and integral maps into . An integral has a factorization
whose product norm can be chosen arbitrarily close to . 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 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 . Put , and define
Then is bounded, and the identity defining gives first after evaluation at each and hence in . Applying the polar decomposition of puts its total variation exactly into the product norm, proving the asserted infimum. Since is onto and isometric, is a factorization of through with the same norm. Hence ; the reverse inequality is general. Combining this with step 2.1 gives
isometrically.
Use AP to remove the projective-tensor kernel. Take . After rescaling a nuclear representation we may write
Indeed, choose successive finite-tensor approximants whose projective-norm errors are below , write the difference in block with total coefficient norm below , and multiply its second factors by while multiplying its first factors by . The first-factor norms then have summable block totals and the second-factor norms tend to zero after normalizing each original elementary tensor.
Thus is compact. AP supplies finite-rank maps for which , and consequently
in projective norm. If the operator induced by is zero and , then
Therefore . The canonical quotient is injective, hence isometric.
Prove the isometric tensor criterion. Define
by
By step 2.3 the domain is with its nuclear norm, and by the definition in step 1.1 the codomain is . Under these identifications sends to . The two associated bilinear forms are literally equal,
so the integral norm is unchanged. Step 2.2 identifies the nuclear and integral norms on the domain. Hence is an isometry.
Derive finite-rank contractions from the criterion. Let be the convex balanced set of finite-rank operators on of norm at most one. The isometry in step 3.1 says, for every ,
Reflexivity identifies every functional on with an operator on , so the ordinary dual formula for the projective norm gives the same supremum over the full unit ball of . The Hahn--Banach bipolar theorem from [L3] therefore makes weak-operator dense in that unit ball. In particular, for every finite tuple , the tuple lies in the weak closure of
This set is convex, so its weak and norm closures agree by [L3]. It follows that is in the strong-operator closure of : there is a net of finite-rank contractions with for every .
Upgrade pointwise convergence to MAP. Fix compact and . Choose a finite -net in and then so that for all . Since , any and a corresponding satisfy
Thus has MAP by [L1]. The zero space is covered by . 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 separability, and the countable approximation and tensor-representation choices. [A1, L1, L3, step 1.2] ∎
A separable reflexive Banach space without the approximation property
Statement
Assume AC. There exists a separable reflexive real Banach space without the approximation property. Consequently has no Schauder basis.
Facts & Assumptions
The Axiom of Choice holds (The Axiom of Choice).
The Walsh-block assembly produces a separable reflexive space whose finite-rank operators satisfy Enflo's logarithmic lower bound (Enflo's Walsh-block assembly).
That lower bound excludes every finite BAP constant (Enflo's quantitative localized-trace obstruction).
Under AC, a reflexive space with AP has MAP (Reflexive approximation property implies metric approximation property).
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
Given: AC.
Take the separable reflexive space supplied by [L1].
The logarithmic lower bound and [L2] show that has no BAP.
Rule out AP using the reflexive MAP theorem. If had AP, its reflexivity and [L3] would give MAP, hence BAP, contradicting step 1.2. Therefore has no AP.
Rule out a Schauder basis and close the boundary cases. If had a Schauder basis, AC would supply DC and [L4] would give BAP, again contradicting step 1.2. Thus 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].
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 , with , and such that every finite-rank satisfies
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.
Finite-dimensional Auerbach bases
Statement
Every nonzero finite-dimensional real or complex normed space has a basis with biorthogonal coordinate functionals such that
Facts & Assumptions
An ordered finite basis gives a topological coordinate isomorphism (A chosen algebraic basis identifies a finite-dimensional normed space with a coordinate space).
Closed bounded subsets of finite-dimensional real coordinate space are compact (Heine-Borel in : with the Euclidean metric a subset of is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line).
Proof
Given: The objects and hypotheses in the Statement.
Fix a reference basis and use [L1] to identify with a finite real [given, L1, L2] coordinate space (of twice the dimension in the complex case). By [L2], the product of 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 maximize it.
The positive determinant makes a basis, and each by construction. For any unit and fixed , multilinearity gives
Maximality therefore gives , so . Since and , the reverse inequality holds. [step 1.1, determinant multilinearity]
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.
The Dvoretzky--Rogers finite-block estimate
Statement
Let , let be a real or complex normed space of scalar dimension at least , and let . There are such that and, for every ,
Facts & Assumptions
Every nonzero finite-dimensional normed space admits a normalized biorthogonal Auerbach basis (Finite-dimensional Auerbach bases).
Proof
Given: The objects and hypotheses in the Statement.
The case is direct: choose any unit and put [given, L1] . The only nontrivial subset satisfies .
Suppose and put . Choose an -dimensional real [given, L1, step 1.1] subspace of (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 , so their determinants attain a maximum. After a linear change of coordinates, take that ellipsoid to be the Euclidean unit ball.
Dvoretzky--Rogers' contact-point induction gives boundary points , , satisfying
For the induction step , consider the ellipsoid
Its volume divided by that of the unit ball is
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 in the interior of the ellipsoid. Since the Euclidean unit ball is contained in the norm unit ball, . Letting through a compact subsequence gives a common contact point and, after subtracting from the ellipsoid inequality and dividing by ,
An orthogonal rotation of the last coordinates makes all but the -th of them zero without moving the earlier contact points. Since , the last inequality is exactly . [step 2.1, maximality, compact subsequence]
The triangular form and scalar Cauchy--Schwarz now give, for real ,
Because the maximal Euclidean ball lies in the norm unit ball, the same upper bound holds for the squared norm in . [step 3.1, finite triangular sum]
Put and in step 4.1 take [given, step 4.1] for and otherwise. Each lies on the norm-unit boundary, so , and the required subset inequality follows. The empty subset gives zero.
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
Countable Choice holds (The Axiom of Countable Choice ()).
Each sufficiently high-dimensional finite block admits vectors with prescribed squared norms and the uniform subset-sum estimate (The Dvoretzky--Rogers finite-block estimate).
Uniform smallness of all finite tails is equivalent to unconditional convergence in a Banach space (Equivalent forms of unconditional convergence).
Proof
Given: The objects and hypotheses in the Statement.
Put for . Since , we have , while . Put and, for , recursively take to be the least integer greater than such that . Thus
[explicit least-index recursion, scalar series]
Let . Infinite-dimensionality supplies a subspace of dimension at least (the cases are chosen directly). Use [A1] exactly here to select, for all , one family given by [L1] with . Then and every subset of the th block satisfies
[A1, L1, step 1.1]
For any finite set contained in the tail beginning at , split it by blocks and use the triangle inequality and step 2.1:
The right side tends to zero by step 1.1. Condition (3) of [L2] therefore holds, so converges unconditionally. [L2, steps 1.1, 2.1]
On the other hand, [given, step 2.1, step 3.1] , so the same series is not absolutely convergent.
Universal agreement of absolute and unconditional convergence
Statement
Assume Countable Choice. For a Banach space , every unconditionally convergent series in is absolutely convergent if and only if is finite-dimensional. The zero-dimensional case is included.
Facts & Assumptions
Countable Choice holds (The Axiom of Countable Choice ()).
Every infinite-dimensional Banach space has an unconditional nonabsolute series under Countable Choice (Dvoretzky--Rogers theorem).
Finite-dimensional coordinate maps and their inverses are continuous (A chosen algebraic basis identifies a finite-dimensional normed space with a coordinate space).
Unconditional convergence is equivalent to convergence under every bounded scalar multiplier (Equivalent forms of unconditional convergence).
Proof
Given: The objects and hypotheses in the Statement.
Suppose has finite positive dimension with basis , [given, L3, L2] and write . If is unconditional, then for each choose the bounded phases when and zero otherwise. By [L3], converges; applying the continuous th coordinate from [L2] shows .
The triangle inequality gives [given, step 1.1] . Summing and using step 1.1 over the finite set of coordinates proves . If the claim is immediate. Thus finite dimension implies universal agreement.
Conversely, if 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.
5 · Examples, counterexamples and false statements
None yet.
Sources
- Thomas Schlumprecht, Course Notes in Functional Analysis, Math 655
- Michael Müger, Introduction to Functional Analysis
- Per Enflo, A counterexample to the approximation problem in Banach spaces
- Gerald Teschl, Topics in Real and Functional Analysis, Problem 4.20
- Theo Bühler and Dietmar Salamon, Functional Analysis
- Raymond A. Ryan, Introduction to Tensor Products of Banach Spaces
- A. Dvoretzky and C. A. Rogers, Absolute and Unconditional Convergence in Normed Linear Spaces