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✓ 9 results · all verified · 8 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 1 not AI-judged were verified by owner audit (typically over a confirmed judge false positive), not failures.

Finite Dimensional Normed Spaces and Riesz Lemma

1 · Prerequisites

2 · Summary

This page packages the first finite-dimensional rigidity results for normed spaces: coordinate-space models, norm equivalence, completeness, closedness of finite-dimensional subspaces, and boundedness of linear maps from finite dimension. It then turns to Riesz's lemma and the compactness consequences that separate finite from infinite dimension, keeping the closed-unit-ball direction choice free and isolating the sharper Baire-cost remark for the countable-Hamel basis theorem. The page closes with the based Kuratowski embedding and the Wojdyslawski convex-hull closedness refinement.

3 · Logical flowchart

4 · Definitions, theorems and proofs

TheoremStatement: Literature-sourcedProof: AI-generatedOpen item page →

A chosen algebraic basis identifies a finite-dimensional normed space with a coordinate space

Statement

Let X be a normed space over K∈{R,C}, read in the real case by A norm on a real vector space, the induced metric, and the dictionary with the metric axioms and the complex case by Complex norm and complex normed space. Let e:n→X be an ordered basis (Basis of a vector space: a linearly independent spanning subset; and ordered basis: an injective finite list whose image is a basis), and write ej:=e(j). Give Kn its coordinate ℓ1 norm

∥(a0,…,an−1)∥1:=∑j<n∣aj∣.

Define

T:Kn→X,T(a0,…,an−1)=∑j<najej.

Then T is a topological isomorphism of normed spaces in the sense of A topological isomorphism of normed spaces.

Facts & Assumptions

Given: A normed space X over K∈{R,C} and an ordered basis e:n→X.

[L2]

A topological isomorphism of normed spaces is a bounded linear bijection whose inverse is bounded (A topological isomorphism of normed spaces).

[L3]

For m≥1, every norm on Rm is equivalent to the Euclidean norm, and any two norms on Rm are equivalent (For n≥1 all norms on Rn are equivalent).

[L4]

The map Φ:C→R2, Φ(a+bi)=(a,b), is a bijection with the stated coordinate arithmetic (C is the real coordinate plane, with coordinate arithmetic).

[L5]

Complex norms have full complex absolute homogeneity (Complex norm and complex normed space). Their realifications carry the same norm and metric (Realification of a complex vector space by restriction of scalars, Complex modulus restricts to real absolute value, Realification preserves a complex norm and its metric). The coordinate ℓ1 function is a complex norm, including n=0 (The complex coordinate sum norm, including the zero space).

[F1]

Real absolute value is definite, multiplicative and subadditive (Basic properties of the absolute value, The triangle inequality).

[F2]

Finite real sums distribute over addition and scaling and preserve inequalities (Finite sums and finite products, by recursion, Laws of finite sums and finite products).

Proof

technique · direct
1.1L1

By [L1], every x∈X has exactly one coordinate list a=(a0,…,an−1)∈Kn with x=∑j<najej. Therefore the displayed map T is well defined, surjective, and injective.

1.2givenalgebra

T is linear, because finite sums and scalar multiplication distribute over the coordinate formula: T(λa+b)=∑j<n(λaj+bj)ej=λ∑j<najej+∑j<nbjej=λT(a)+T(b).

2.1L1L3L4L5step 1.1step 1.2algebra

In the complex case, [L5] makes both P(a):=∥a∥1 and N(a):=∥T(a)∥ real norms on (Cn)R: for N, separation uses injectivity in step 1.1, and homogeneity and the triangle inequality use step 1.2 and the norm on X. The coordinate map Ψ(a)=(Re⁡a0,Im⁡a0,…,Re⁡an−1,Im⁡an−1) is a real-linear bijection by [L4], so P∘Ψ−1 and N∘Ψ−1 are real norms on R2n. If n≥1, the pairwise equivalence clause of [L3] gives a positive real c such that cP(a)≤N(a) for every a. Thus ∥T−1x∥1≤c−1∥x∥. If n=0, both spaces consist only of zero by [L1], and the inverse is bounded with bound zero.

2.2step 1.2givenalgebra

Put C:=∑j<n∥ej∥, a finite real. Then ∥T(a)∥=∥∑j<najej∥≤∑j<n∣aj∣ ∥ej∥≤C∑j<n∣aj∣=C∥a∥1, so T is bounded.

2.3step 1.1step 1.2L3F1F2choose

In the real case K=R, the coordinate P(a)=∑j<n∣aj∣ is a real norm: absolute-value definiteness, multiplicativity, and the triangle inequality give the three axioms by finite summation, including the empty list. The pullback N(a):=∥T(a)∥ is a norm on Rn: definiteness uses step 1.1, and the triangle and homogeneity axioms come from the norm axioms on X and the linearity of T. If n=0, then R0={0} and the inverse of T is the zero map, hence bounded. If n≥1, [L3] gives c>0 with c∥a∥1≤N(a)=∥T(a)∥ for every a∈Rn, so ∥T−1x∥1≤c−1∥x∥ for every x∈X. Thus T−1 is bounded in the real case.

3.1L2step 1.1step 1.2step 2.1step 2.2step 2.3∎

Steps 1.1, 1.2, 2.1, 2.2, and 2.3 verify the three clauses of [L2]. Therefore T is a topological isomorphism of normed spaces.

Remarks

  • The proof uses the coordinate ℓ1 norm because it makes the boundedness of T immediate. Any other standard coordinate norm would do, and on a fixed finite-dimensional coordinate space all of them are equivalent.
  • The finite-dimensional language in the title is implemented here by the actual datum the page uses: a chosen ordered basis of finite length.
TheoremStatement: Literature-sourcedProof: AI-generatedOpen item page →

All norms on a finite-dimensional complex normed space are equivalent

Statement

Let X be a complex vector space carrying two complex norms ∥⋅∥a and ∥⋅∥b, and suppose X admits an ordered basis of finite length. Then ∥⋅∥a and ∥⋅∥b are equivalent in the sense of Equivalent complex norms.

Facts & Assumptions

Given: A complex vector space X with two complex norms ∥⋅∥a and ∥⋅∥b, and an ordered basis e:n→X.

[L1]

For either norm on X, the basis map from Cn with the coordinate ℓ1 norm is a topological isomorphism (A chosen algebraic basis identifies a finite-dimensional normed space with a coordinate space).

[L2]

Equivalent norms are exactly those satisfying c∥x∥a≤∥x∥b≤C∥x∥a for some positive real constants c,C (Equivalent complex norms).

Proof

technique · direct
1.1L1choose

Let T:Cn→X be the common algebraic basis map T(a0,…,an−1)=∑j<najej. Applied to the norm ∥⋅∥a, [L1] gives constants A,B>0 such that ∥T(a)∥a≤A∥a∥1and∥a∥1≤B∥T(a)∥a for every a∈Cn.

1.2L1choose

Applied to the norm ∥⋅∥b, [L1] gives constants A′,B′>0 such that ∥T(a)∥b≤A′∥a∥1and∥a∥1≤B′∥T(a)∥b for every a∈Cn.

2.1step 1.1step 1.2L1algebra

Let x∈X and write x=T(a), which is possible and unique by [L1]. Then ∥x∥b=∥T(a)∥b≤A′∥a∥1≤A′B∥T(a)∥a=A′B∥x∥a. Interchanging a and b gives ∥x∥a≤AB′∥x∥b.

3.1L2step 2.1∎

Taking c=(AB′)−1>0 and C=A′B>0, step 2.1 is exactly the two-sided estimate of [L2], so the two norms are equivalent.

Remarks

CorollaryStatement: Literature-sourcedProof: AI-generatedOpen item page →

Every finite-dimensional normed space is Banach

Statement

Let X be a normed space over K∈{R,C} and assume X admits an ordered basis of finite length. Then X is a Banach space in the sense of Banach space.

Facts & Assumptions

Given: A normed space X over K∈{R,C} with an ordered basis e:n→X.

[L1]

The basis map T:Kn→X is a topological isomorphism (A chosen algebraic basis identifies a finite-dimensional normed space with a coordinate space).

[L3]

C is the real coordinate plane with coordinate arithmetic (C is the real coordinate plane, with coordinate arithmetic). The coordinate ℓ1 function is a complex norm (The complex coordinate sum norm, including the zero space), and realification preserves its metric (Realification preserves a complex norm and its metric).

[L4]

A Banach space is a normed space complete for its norm metric (Banach space).

Proof

technique · direct
1.1L1L4

By [L1], it is enough to prove that Kn is complete for the coordinate ℓ1 norm, because a bounded bijection with bounded inverse preserves Cauchy sequences and their limits.

1.2L2

In the real case K=R, if n=0 then R0={0} is complete trivially. If n≥1, [L2] applies directly to the ℓ1 norm on Rn, so Rn is complete.

1.3L2L3algebra

In the complex case, if n=0 the coordinate space is a singleton and complete. If n≥1, let Ψ:Cn→R2n send each coordinate to its real and imaginary parts. By [L3] it is a real-linear bijection, and Q(u):=∥Ψ−1u∥1 is a real norm on R2n. It is complete by [L2]. Since Q(Ψa−Ψb)=∥a−b∥1, the bijection Ψ transports Cauchy sequences and limits exactly; thus Cn is complete in its complex coordinate norm metric.

2.1step 1.1step 1.2step 1.3L1

Let (xm) be a Cauchy sequence in X, and write am:=T−1xm. Since T−1 is bounded, (am) is Cauchy in Kn; by steps 1.2 and 1.3 it converges to some a∈Kn. Since T is bounded, xm=T(am)→T(a) in X. Thus every Cauchy sequence in X converges in X.

3.1L4step 2.1∎

By [L4], step 2.1 says exactly that X is Banach.

Remarks

  • The only substantive input is completeness of finite-dimensional real coordinate space. Everything else is transport of structure.
CorollaryStatement: Literature-sourcedProof: AI-adaptedOpen item page →

A finite-dimensional normed subspace is closed

Statement

Let V be a normed space over K∈{R,C} and let W⊆V be a normed subspace over that same field: use Normed subspace for R and A complex normed linear subspace for C. If W admits an ordered basis of finite length, including length zero, then W is closed in V. This holds in ZF, without a choice axiom; the ambient space need not be complete.

Facts & Assumptions

Given: A normed space V over K∈{R,C}, a normed subspace W⊆V, and an ordered basis (bj)j<n of W.

[L1]

Such a normed space is Banach (Every finite-dimensional normed space is Banach).

[L2]

An ordered basis is an independent finite list spanning its space; the empty list spans exactly the zero subspace (Basis of a vector space: a linearly independent spanning subset; and ordered basis: an injective finite list whose image is a basis).

[L3]

The restricted norm on a normed subspace is the ambient one (Normed subspace, A complex normed linear subspace).

[L4]

Fix an enumeration q:N→Q and a bijection p:N2→N (Q is countably infinite, N×N≈N). Rational numbers, identified with their real images, approximate every real number (Both Q and R∖Q are dense in R, and every nonempty open subset of R is uncountable, clause 1).

[L5]

A supplied total self-map and a starting value determine a sequence by recursion (The recursion theorem); every nonempty subset of N has a least element (The well-ordering principle).

[L6]

For every ε>0 some integer k≥1 satisfies 1/k<ε (For every ε>0 in a complete ordered field there is a natural n≥1 with 1/n<ε).

[L7]

Realification preserves the norm and metric (Realification of a complex vector space by restriction of scalars, Realification preserves a complex norm and its metric). A complex normed subspace realifies to a real normed subspace, and its supplied complex basis bj yields the real basis bj,ibj (A complex normed subspace and its finite basis realify). Complex coordinate arithmetic is given by C is the real coordinate plane, with coordinate arithmetic.

Proof

technique · direct
1.1givenL2algebra

If n=0, then W={0} by [L2]. Every x∈V∖{0} has the open ball of radius ∥x∥/2 disjoint from W, so its complement is open and W is closed. It remains to treat n>0.

1.2givenL1L2L3L7algebra

For n>0, in the real case put m=n and ej=bj. In the complex case put m=2n, e2j=bj, and e2j+1=ibj, and use real scalars. Splitting complex coefficients proves real spanning; grouping a real relation into a complex relation among the bj proves independence. Thus (ej)j<m is a supplied ordered real basis of W, and its norm is still the restricted ambient norm. By [L1], W is complete for this metric.

2.1L4L5step 1.2construct

Define maps Ej:N→Qj for j≤m as follows: E0(s) is the empty tuple, and Ej+1(p(s,t))=(Ej(s),q(t)). The unique inverse pair of each natural makes this a total definition. Finite recursion, or [L5] on states consisting of a stage and such a map, produces the maps uniformly; after stage m keep the state fixed. By induction each Ej is surjective: given a tuple of length j+1, its initial tuple has a preimage s under Ej, its final coordinate has a preimage t under q, and p(s,t) maps to the entire tuple. This uses two witnesses for one tuple, not a family of selected enumerations. Define d(s)=∑j<m(Em(s))jej. Its image is exactly the rational span of this finite basis.

3.1step 1.2step 2.1L4L5algebra

This image is dense in W. For w=∑j<majej and ε>0, let tj be the least index satisfying ∣aj−q(tj)∣<δ,δ=ε2m(1+∑j<m∥ej∥)>0. Existence follows from rational density and [L5] gives the least index. Surjectivity of Em gives a value of d equal to v=∑j<mq(tj)ej, and ∥w−v∥≤δ∑j<m∥ej∥<ε. Hence every ball in W meets d[N].

4.1step 3.1L3L5L6construct

Let x be an ambient adherent point of W, meaning every ball about x meets W. For each k∈N, first such adherence and then step 3.1 give a point w∈W within 1/(2(k+1)) of x and a value d(s) within 1/(2(k+1)) of w. Thus the set Ak={s∈N:∥x−d(s)∥<1/(k+1)} is nonempty. Set sk=min⁡Ak and uk=d(sk). This defines the sequence outright by a unique-index rule. By [L6] the error tends to zero, so uk→x in V, and ∥uk−ul∥≤∥uk−x∥+∥x−ul∥ makes it Cauchy in the restricted metric of W.

5.1step 1.1step 1.2step 4.1L3algebra∎

Completeness from step 1.2 supplies y∈W with uk→y in the restricted norm. Since the norm agrees with the ambient one, ∥x−y∥≤∥x−uk∥+∥uk−y∥⟶0, so x=y∈W. Every ambient adherent point therefore belongs to W. A point outside W consequently has a ball disjoint from W, making the complement open and W closed. Together with step 1.1 this proves all cases, without manufacturing a sequence in an arbitrary subset or using countable choice.

CorollaryStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-04Open item page →

A linear map from a finite-dimensional normed space is bounded

Statement

Let X and Y be normed spaces over the same scalar field, and assume X admits an ordered basis of finite length. Then every linear map S:X→Y is a bounded linear operator in the sense of A bounded linear operator between normed spaces.

Facts & Assumptions

Given: Normed spaces X and Y, a linear map S:X→Y, and an ordered basis e:n→X.

[L1]

The basis map T:Kn→X is a topological isomorphism (A chosen algebraic basis identifies a finite-dimensional normed space with a coordinate space).

[L2]

A bounded linear operator is a linear map satisfying one global norm bound (A bounded linear operator between normed spaces).

[L3]

Linearity means S(au+bv)=aS(u)+bS(v) (Linear map between vector spaces over the same field).

Proof

technique · direct
1.1L1choose

Let T:Kn→X be the basis map from [L1]. Since T−1 is bounded, there is B>0 such that ∥T−1x∥1≤B∥x∥(x∈X).

1.2L3givenalgebra

Put M:=∑j<n∥S(ej)∥, a finite real. If x=∑j<najej=T(a0,…,an−1), then by [L3] Sx=∑j<najS(ej), so ∥Sx∥≤∑j<n∣aj∣ ∥S(ej)∥≤M∑j<n∣aj∣=M∥T−1x∥1.

2.1L2L3step 1.1step 1.2∎

Combining steps 1.1 and 1.2 gives ∥Sx∥≤MB∥x∥(x∈X). Therefore S is bounded, and with [L3] this makes S a bounded linear operator by [L2].

LemmaStatement: Literature-sourcedProof: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-04Open item page →

Riesz lemma

Statement

Let X be a normed space, let M⊊X be a proper closed normed subspace (Normed subspace), and let 0<α<1. Then there exists x∈X such that ∥x∥=1 and

dist⁡(x,M):=inf⁡m∈M∥x−m∥>α.

Facts & Assumptions

Given: A normed space X, a proper closed normed subspace M⊊X, and a real α with 0<α<1.

[A1]

The subspace M is proper and closed in X.

Proof

technique · direct
1.1A1choosealgebra

By [A1], choose y∈X∖M and put d:=inf⁡m∈M∥y−m∥. Because M is closed, its complement is open, so there is ρ>0 with B(y,ρ)⊆X∖M. Hence ∥y−m∥≥ρ for every m∈M, which gives d≥ρ>0.

2.1step 1.1choosealgebra

Since α<1, one has d<d/α. By definition of the infimum, choose m∈M with d≤∥y−m∥<dα. Put x:=y−m∥y−m∥. Then ∥x∥=1.

3.1step 2.1givenalgebra

Let m′∈M. Because m+∥y−m∥m′∈M, the definition of d gives d≤∥y−(m+∥y−m∥m′)∥=∥y−m−∥y−m∥m′∥=∥y−m∥ ∥x−m′∥. Therefore ∥x−m′∥≥d∥y−m∥>α, the last inequality by step 2.1. Since m′∈M was arbitrary, dist⁡(x,M)>α.

4.1step 2.1step 3.1∎

Step 3.1 produces a unit vector x whose distance from M exceeds α, as required.

Remarks

  • The proof uses only an approximate minimizer. No nearest-point theorem is assumed.
TheoremStatement: Literature-sourcedProof: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-04Open item page →

A normed space is locally compact if and only if it is finite-dimensional

Statement

Let X be a normed space over K∈{R,C}, equipped with its norm topology. Then the following are equivalent.

  1. X is locally compact (Locally compact topological space: every point has a compact neighbourhood; and what this says in a metric space).
  2. X admits an ordered basis of finite length.

This is the page's precise reading of "finite-dimensional".

Facts & Assumptions

Given: A normed space X over K∈{R,C}.

[L1]

A chosen ordered basis yields a topological isomorphism with a coordinate space (A chosen algebraic basis identifies a finite-dimensional normed space with a coordinate space).

[L2]

Riesz's lemma: for every proper closed normed subspace M⊊X and 0<α<1 there is a unit vector at distance >α from M (Riesz lemma).

[L4]

Rn is locally compact for n≥1 (Rn is locally compact and σ-compact).

[L6]

In a metric space, local compactness at a point is equivalent to the existence of an open ball around that point contained in a compact subset (Locally compact topological space: every point has a compact neighbourhood; and what this says in a metric space).

Proof

technique · direct
1.1L1L4L5

Assume X admits an ordered basis of length n. If K=R, the coordinate space Rn is locally compact by [L4] when n≥1, and R0={0} is compact, hence locally compact. If K=C, then Cn identifies with R2n by [L5], so the same conclusion holds there. By [L1], X is homeomorphic to that coordinate space, hence locally compact.

1.2L6choose

Assume now that X is locally compact. By [L6], applied to the norm metric, 0 has a compact neighbourhood K containing some open ball B(0,r) with r>0. The closed ball B‾(0,r2):={x∈X:∥x∥≤r2} is a closed subset of K and is therefore compact.

1.3

For the successor step, let Mm:=span⁡{x0,…,xm}. The finite list x0,…,xm generates Mm, so by deleting dependent terms if necessary one gets an ordered basis of finite length for Mm. Thus Mm⊊X by the contradiction hypothesis, and A finite-dimensional normed subspace is closed makes Mm closed. Applying [L2] with α=1/2 yields a unit vector xm+1 with dist⁡(xm+1,Mm)>1/2. In particular ∥xm+1−xj∥>1/2 for every j≤m. [L2, A finite-dimensional normed subspace is closed, choose]

2.1step 1.2assume-contrachoose

Suppose for contradiction that X admits no ordered basis of finite length. We recursively build, for each m≥0, unit vectors x0,…,xm∈X such that ∥xj−xk∥>12(j≠k). For m=0 choose any nonzero x0 and normalize it.

3.1step 2.1step 1.3algebra

Every xj lies in the closed ball B‾(0,r/2) after rescaling by r/2: namely yj:=(r/2)xj satisfies ∥yj∥=r/2, so yj lies in that compact set. Also ∥yj−yk∥=r2∥xj−xk∥>r4(j≠k).

4.1L3step 3.1assume-contra

By [L3], the compact metric space B‾(0,r/2) is totally bounded. Taking ε=r/8, it admits a finite ε-net. But one ε-ball can contain at most one of the points yj, since distinct ones are more than r/4=2ε apart. Therefore a finite ε-net cannot cover arbitrarily large finite sets {y0,…,ym}, contradiction.

5.1step 1.1step 4.1discharge-contradiction∎

The contradiction in step 4.1 shows that X must admit an ordered basis of finite length. Together with step 1.1, this proves the equivalence.

Remarks

  • The reverse implication uses only one finite recursion at a time. No choice principle is needed.
LemmaStatement: Literature-sourcedProof: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-04Open item page →

Under dependent choice, Riesz lemma builds an infinite separated sequence in the unit sphere

Statement

Assume the Axiom of Dependent Choice (The axiom of dependent choice: a relation in which every element is related to something admits an N-indexed chain). Let X be a normed space that is not spanned by any finite list, and let 0<α<1. Then there exists a sequence (xn)n∈N of unit vectors in X such that

∥xn−xm∥>αfor all n≠m.

Facts & Assumptions

Given: Dependent Choice, a normed space X that is not the span of any finite list, and a real α with 0<α<1.

[L1]

Dependent Choice produces an N-indexed chain for an entire relation on a nonempty set (The axiom of dependent choice: a relation in which every element is related to something admits an N-indexed chain).

[L2]

If a subspace admits an ordered basis of finite length, then it is closed (A finite-dimensional normed subspace is closed).

[L3]

Riesz's lemma gives a unit vector at distance >α from every proper closed subspace (Riesz lemma).

Proof

technique · direct
1.1L4choose

Let S be the set of all finite lists s=(u0,…,um) of unit vectors in X such that ∥uj−uk∥>α for all j≠k. The set S is nonempty because any single unit vector lies in it: choose any nonzero u∈X and normalize it.

1.2L2L3L4choose

Define a relation R on S by s R t when t is obtained from s by appending one more unit vector u with dist⁡(u,span⁡(s))>α. If s=(u0,…,um)∈S, then the finite span M:=span⁡(s) is generated by a finite list, so by deleting dependent terms one obtains an ordered basis of finite length for M. Since X is not the span of any finite list, M⊊X; by [L2] it is closed. Now [L3] applies to M and produces a unit vector u with dist⁡(u,M)>α, so s has an R-successor. Thus R is entire on S.

1.3L1construct

By [L1], there is a sequence (sn)n∈N in S with sn R sn+1 for every n. Because each successor appends exactly one new term, the first entries stabilize: if xn denotes the last entry appended when passing from sn to sn+1, then every earlier xj remains in all later lists.

2.1step 1.3L4∎

For m<n, the vector xn was chosen with dist⁡(xn,span⁡(x0,…,xn−1))>α, and xm lies in that span. Hence ∥xn−xm∥>α. Every xn is a unit vector by the definition of R. Therefore (xn)n∈N is the required separated sequence.

Remarks

  • This lemma is the optional DC witness from the design. The compactness results on the page do not need it.
TheoremStatement: Literature-sourcedProof: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-04Open item page →

The closed unit ball is compact if and only if the normed space is finite-dimensional

Statement

Let X be a normed space over K∈{R,C} and write

B‾X:={x∈X:∥x∥≤1}.

Then the following are equivalent.

  1. B‾X is compact in the norm metric (Open cover, subcover, compact metric space, and compact subset of a metric space).
  2. X admits an ordered basis of finite length.

Facts & Assumptions

Given: A normed space X over K∈{R,C} and its closed unit ball B‾X.

[L1]

A chosen ordered basis yields a topological isomorphism with a coordinate space (A chosen algebraic basis identifies a finite-dimensional normed space with a coordinate space).

[L2]

Riesz's lemma gives a unit vector at distance >α from every proper closed subspace (Riesz lemma).

[L3]

Finite-dimensional normed subspaces are closed (A finite-dimensional normed subspace is closed).

Proof

technique · direct
1.1L1

Assume X admits an ordered basis of length n, and let T:Kn→X be the coordinate isomorphism from [L1]. Then T−1[B‾X] is closed in Kn, because T is continuous, and bounded in the coordinate ℓ1 norm, because T−1 is bounded.

1.2L4assume-contra

Assume conversely that B‾X is compact. Then [L4] makes it totally bounded. Suppose for contradiction that X admits no ordered basis of finite length.

1.3L3choose

Let F⊆B‾X be a finite 1/2-net, and put M:=span⁡(F). The finite set F generates M, so by deleting dependent terms one gets an ordered basis of finite length for M; thus [L3] makes M closed. Since X is not finitely generated, M⊊X.

2.1step 1.1L5

In the real case K=R, if n=0 then B‾X={0} is compact. If n≥1, step 1.1 and [L5] show that T−1[B‾X] is compact in Rn, hence B‾X is compact as its homeomorphic image.

2.2step 1.1L5L6

In the complex case K=C, [L6] identifies Cn with R2n. Under that identification the coordinate ℓ1 norm is equivalent to a real norm on R2n, so the bounded closed set T−1[B‾X] is also closed and bounded in Euclidean space. If n=0 it is a singleton; if n≥1, [L5] makes it compact in R2n, hence compact in Cn and therefore in X.

2.3L2step 1.3assume-contra

Applying [L2] with α=1/2 gives a unit vector x∈X with dist⁡(x,M)>1/2. Since F is a 1/2-net in the unit ball and x∈B‾X, some y∈F satisfies ∥x−y∥<1/2. But y∈M, which contradicts dist⁡(x,M)>1/2.

3.1step 2.1step 2.2step 2.3discharge-contradiction∎

Therefore X must admit an ordered basis of finite length. Together with steps 2.1 and 2.2, this proves the equivalence.

Remarks

  • The reverse implication is choice free: compactness gives one finite net, and one application of Riesz's lemma is enough.
CorollaryStatement: AI-adaptedProof: AI-generatedprecheck passaudited 2026-09-04Open item page →

In an infinite-dimensional normed space the closed unit ball is not compact

Statement

Let X be a normed space that admits no ordered basis of finite length. Then its closed unit ball

B‾X:={x∈X:∥x∥≤1}

is not compact.

Facts & Assumptions

Given: A normed space X with no ordered basis of finite length.

[L1]

The closed unit ball is compact if and only if the space admits an ordered basis of finite length (The closed unit ball is compact if and only if the normed space is finite-dimensional).

Proof

technique · direct
1.1L1assume-contra

If B‾X were compact, [L1] would force X to admit an ordered basis of finite length.

2.1step 1.1discharge-contradiction∎

That contradicts the hypothesis, so B‾X is not compact.

CorollaryStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-04Open item page →

On an infinite-dimensional normed space, the identity operator is not compact

Statement

Let X be a normed space that admits no ordered basis of finite length, and let IX:X→X be the identity map. Then IX is bounded, but it does not carry the closed unit ball of X to a compact subset of X. In that standard sense, the identity operator is not compact.

Facts & Assumptions

Given: A normed space X with no ordered basis of finite length, its closed unit ball B‾X, and the identity map IX.

[L1]

A bounded linear operator is a linear map satisfying one global norm bound (A bounded linear operator between normed spaces).

[L2]

In this setting the closed unit ball is not compact (In an infinite-dimensional normed space the closed unit ball is not compact).

Proof

technique · direct
1.1L1algebra

The identity map is linear and satisfies ∥IXx∥=∥x∥ for every x∈X, so [L1] makes it a bounded linear operator.

2.1L2step 1.1∎

One has IX[B‾X]=B‾X. By [L2], that set is not compact. Therefore the identity operator does not send the closed unit ball to a compact subset of X.

Remarks

  • This item uses only the unit-ball criterion. It does not depend on a separate compact-operator definition item.
TheoremStatement: AI-adaptedProof: AI-generatedOpen item page →

A Banach space has no countably infinite Hamel basis

Statement

Let X be a Banach space over K∈{R,C}. Then X has no countably infinite Hamel basis. Equivalently, there is no sequence (bn)n∈N of pairwise distinct vectors whose image is a basis of X in the sense of Basis of a vector space: a linearly independent spanning subset; and ordered basis: an injective finite list whose image is a basis.

This holds in ZF, without any choice axiom. Here countably infinite means equinumerous with N (Finite, countably infinite, countable, uncountable).

Facts & Assumptions

Given: A Banach space X and, for contradiction, a sequence (bn)n∈N of pairwise distinct vectors whose image is a Hamel basis of X.

[L1]

A Banach space is complete for its norm metric (Banach space).

[L2]

A normed space supplied with an ordered basis of finite length is complete (Every finite-dimensional normed space is Banach). We prove the needed closedness locally, rather than manufacture a sequence in an arbitrary subspace.

[L3]

There is an enumeration q:N→Q (Q is countably infinite), and rational numbers, identified with their real images, approximate every real number (Both Q and R∖Q are dense in R, and every nonempty open subset of R is uncountable, clause 1).

[L4]

There is a fixed bijection p:N×N→N, explicitly p(a,b)=2a(2b+1)−1 (N×N≈N).

[L5]

Every nonempty subset of N has a least element (The well-ordering principle). A supplied total function f:S→S and starting point determine a sequence by recursion (The recursion theorem); stage-dependent rules are encoded on states containing the stage.

[L7]

A complex Banach space retains its complete norm metric on restriction to real scalars (Realification preserves a complex norm and its metric, Banach space). Every complex scalar uniquely has the form a+ib with a,b∈R (C is the real coordinate plane, with coordinate arithmetic).

Proof

technique · direct
1.1L3L4L5construct

Fix p and q from [L3, L4]. Encode a finite word (a0,…,aℓ−1) of naturals by p(ℓ,cℓ), where c0=0 and cj+1=p(cj,aj). To decode any natural, invert its outer pair to obtain (ℓ,c), and invert the inner pair ℓ times, recovering the symbols in reverse order. If the final residue is not zero, return the empty word; otherwise return the recovered word. These are uniform finite recursions: one may retain the remaining length, current residue and recovered finite list as the state and stop changing the state when the remaining length is zero. Thus [L5] defines the decoder, and decoding an encoded word returns that word by induction and injectivity of p. We have a total surjection from N onto all finite words, without choosing separate enumerations for each length.

1.2givenL7algebra

In the real case let ej=bj. In the complex case let e2j=bj and e2j+1=ibj, and regard X as a real normed space. In either case (ej) is a real Hamel basis: in the complex case a finite real relation groups into a complex relation among the bj, forcing both real coefficients for each bj to vanish, and spanning follows by splitting each complex coefficient into real and imaginary parts. Completeness is unchanged.

2.1step 1.1step 1.2L3L4construct

Interpret a decoded symbol p(j,t) as the term q(t)ej, and interpret a decoded word as the sum of its terms, the empty word giving zero. Step 1.1 now defines a total function d:N→X whose image D is exactly the finite rational span of (ej). In particular 0∈D. For each fixed N, the same decoder, with symbols having j>N contributing zero, defines dN:N→FN, where FN=span⁡R{e0,…,eN}; its image is exactly the rational span of this finite list.

3.1step 1.2step 2.1L3L5algebra

For any finite expression v=∑j<ℓλjenj and ε>0, if ℓ=0 then v=0∈D. Otherwise put δ=ε/(2ℓ(1+∑j<ℓ∥enj∥))>0 and let tj be the least natural with ∣λj−q(tj)∣<δ. Such an index exists by [L3]; [L5] determines it. The triangle inequality gives ∥v−∑j<ℓq(tj)enj∥≤δ∑j<ℓ∥enj∥<ε. Consequently D is dense in X, and using only indices at most N shows that dN[N] is dense in FN. Only the displayed finite representation of the fixed vector is used, not a selection of representations for a family of vectors.

3.2step 1.2step 2.1algebra

Each FN is proper since eN+1∉FN by real independence. Also X=⋃NFN, because every vector has a finite expression in the ej and a finite list of natural indices has an upper bound.

4.1step 3.1L5L6construct

Fix N and a point z in the ambient closure of FN, meaning every ball around z meets FN. For each k∈N, some u∈FN satisfies ∥z−u∥<1/(2(k+1)), and density from step 3.1 gives some dN(j) with ∥u−dN(j)∥<1/(2(k+1)). Hence the set of j with ∥z−dN(j)∥<1/(k+1) is nonempty. Define j(k) to be its least member and uk=dN(j(k)). This defines one sequence outright by [L5]; no countable choice is used. The reciprocal estimate [L6] and the triangle inequality give uk→z in X and show (uk) is Cauchy in FN.

5.1step 1.2step 4.1L2algebra

The displayed list (e0,…,eN) is an ordered real basis of FN by step 1.2, so [L2] supplies a limit y∈FN of this already constructed Cauchy sequence. Then ∥z−y∥≤∥z−uk∥+∥uk−y∥→0, whence z=y∈FN. Therefore FN is closed: if a point outside it had no disjoint ball, it would belong to its closure, contrary to what we just proved. This argument uses completeness only on the specific sequence from step 4.1.

6.1step 5.1step 3.2algebra

Every proper real linear subspace has empty interior. Indeed, if it contains B(v,r) then v belongs to it, and subtraction gives B(0,r) inside it. For any nonzero w∈X, the vector rw/(2∥w∥) belongs to that ball, and real scalar multiplication then puts w in the subspace too; zero already belongs to it. Thus the subspace would be X. In particular each FN is closed with empty interior.

7.1step 3.1step 6.1L5L6construct

Write B(v,r)={w:∥w−v∥<r} and B‾(v,r)={w:∥w−v∥≤r}, and put U0=B(0,1). Balls are open by the triangle inequality. By step 6.1, U0∖F0 is nonempty and open. Let m0 be the least index with d(m0)∈U0∖F0. Openness gives a radius ρ>0 about this point inside that set; [L6] gives an integer k with 1/k<ρ. Therefore there is a least positive integer k0 with B‾(d(m0),1/k0)⊆U0∖F0.

8.1step 3.1step 6.1step 7.1L5L6construct

Let S be the set of triples (n,m,k)∈N3 with k≥1 and B‾(d(m),1/k)⊆U0∖Fn. For any such triple the set O=B(d(m),1/(2k))∖Fn+1 is nonempty and open. Let m′ be the least index with d(m′)∈O, and k′ the least positive integer with 1/k′<1/(2k) and B‾(d(m′),1/k′)⊆O. Density, openness and [L6] prove these sets of indices nonempty. The resulting triple (n+1,m′,k′) belongs to S, so these formulas define a total function S→S. Apply [L5] with initial state (0,m0,k0) to obtain states (n,mn,kn) for every n. Put xn=d(mn) and rn=1/kn. Then B‾(xn+1,rn+1)⊆B(xn,rn/2)∖Fn+1⊆B‾(xn,rn),rn+1<rn/2. Thus rn≤r0(1/2)n→0. Every recurring selection was the minimum of a specified subset of N.

9.1L1step 7.1step 8.1algebra

For m>n, nesting gives xm∈B(xn,rn/2), so (xn) is Cauchy. By [L1] it converges to some x∈X. For fixed n and all m>n, ∥x−xn∥≤∥x−xm∥+∥xm−xn∥≤∥x−xm∥+rn. Letting m→∞ gives ∥x−xn∥≤rn. Therefore x∈B‾(xn,rn)⊆X∖Fn for every n. We used only the already constructed centers, not a choice of points from arbitrary closed sets.

10.1step 3.2step 9.1discharge-contradiction∎

Step 9.1 contradicts X=⋃NFN from step 3.2. Therefore the supposed countably infinite Hamel basis cannot exist. All sequences used above were defined by uniform coding, least indices, or recursion on a supplied function, so the proof requires no choice axiom.

Remarks

  • The proof is written over the underlying real normed space in the complex case, so no separate complex Baire argument is needed.
RemarkRemark: Literature-sourcedProof: Not applicableOpen item page →

Why the unrestricted complete-metric Baire theorem would overstate the choice cost here

Remark

The proof of A Banach space has no countably infinite Hamel basis does not need the full statement "every complete metric space is Baire". Its nested-ball argument uses a fixed dense sequence. The two available general results separating this route from the unrestricted principle are Separable complete metric spaces are Baire in ZF ↗ and Dependent Choice is equivalent to the complete-metric Baire principle over ZF ↗: over ZF, the separable theorem is choice free, whereas the unrestricted complete-metric theorem is equivalent to Dependent Choice.

That matters here because the countable Hamel basis already supplies an explicit countable dense set, namely the rational span of the basis. Using the sharper argument records the actual cost of the theorem proved on this page. Invoking the unrestricted theorem would still yield a correct proof of the Banach-space claim, but it would advertise a stronger choice principle than the written argument spends.

DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-04Open item page →

The based Kuratowski distance map into bounded continuous functions

Definition

Let (M,d) be a nonempty metric space (Metric space: d(x,y)=0 iff x=y, symmetry, and the triangle inequality; pseudometric and ultrametric) and fix a basepoint o∈M. Inside the real function space RM of The vector space FX of all functions X→F with pointwise operations, and Fn as the case X=n={0,1,…,n−1}, write Cb(M) for the set of bounded continuous real-valued functions on M, equipped with the supremum norm

∥f∥∞:=sup⁡z∈M∣f(z)∣.

For each x∈M, define a function Ko(x):M→R by

Ko(x)(z):=d(x,z)−d(o,z)(z∈M).

The triangle inequality gives

∣Ko(x)(z)∣=∣d(x,z)−d(o,z)∣≤d(x,o),

so Ko(x) is bounded. The same inequality in the z variable shows that Ko(x) is 2-Lipschitz, hence continuous. Therefore Ko(x)∈Cb(M) for every x∈M.

The resulting map

Ko:M→Cb(M),x↦Ko(x),

is the based Kuratowski distance map.

Remarks

  • The subtraction by d(o,⋅) is what keeps the target bounded when the metric space itself is unbounded.
TheoremStatement: Literature-sourcedProof: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-04Open item page →

The based Kuratowski distance map is an isometric embedding

Statement

Let (M,d) be a nonempty metric space, fix o∈M, and let Ko:M→Cb(M) be the based Kuratowski distance map of The based Kuratowski distance map into bounded continuous functions. Then Ko is an isometric embedding in the sense of Isometry, isometric embedding, and the subspace metric on a subset:

∥Ko(x)−Ko(y)∥∞=d(x,y)(x,y∈M).

Facts & Assumptions

Given: A nonempty metric space (M,d), a basepoint o∈M, and the map Ko:M→Cb(M).

[L1]

For each x∈M, Ko(x)(z)=d(x,z)−d(o,z) defines a bounded continuous function on M (The based Kuratowski distance map into bounded continuous functions).

[L2]

An isometric embedding preserves all distances (Isometry, isometric embedding, and the subspace metric on a subset).

Proof

technique · direct
1.1L1algebra

By [L1], the map Ko is well defined as a map into Cb(M). For any x,y,z∈M, the triangle inequality gives d(x,z)≤d(x,y)+d(y,z)andd(y,z)≤d(y,x)+d(x,z), so ∣Ko(x)(z)−Ko(y)(z)∣=∣d(x,z)−d(y,z)∣≤d(x,y). Taking the supremum over z yields ∥Ko(x)−Ko(y)∥∞≤d(x,y).

2.1step 1.1algebra

Evaluating at z=y gives ∣Ko(x)(y)−Ko(y)(y)∣=∣d(x,y)−0∣=d(x,y), and evaluating at z=x gives the same value. Therefore the supremum norm is at least d(x,y).

3.1L2step 1.1step 2.1∎

Steps 1.1 and 2.1 give ∥Ko(x)−Ko(y)∥∞=d(x,y) for all x,y∈M, which is exactly [L2]. Hence Ko is an isometric embedding.

Remarks

  • The proof is two lines long once the target is chosen correctly. The real work is the based definition, which keeps the functions bounded on unbounded metric spaces.
TheoremStatement: Literature-sourcedProof: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-04Open item page →

Kuratowski-Wojdyslawski embedding theorem

Statement

Let (M,d) be a bounded nonempty metric space. Then there is a Banach space B and an isometric embedding ι:M→B such that ι[M] is closed in its algebraic convex hull.

Concretely, one may take B=Cb(M) with the supremum norm and ι=Ko for any basepoint o∈M.

Consequently, every metrizable space embeds homeomorphically as a closed subset of a convex subset of a Banach space.

Facts & Assumptions

Given: A bounded nonempty metric space (M,d), a basepoint o∈M, and the based Kuratowski map Ko:M→Cb(M).

[L1]

Proof

technique · direct
1.1L2choose

The target Cb(M) is Banach for the supremum norm. Indeed, let (fn) be a Cauchy sequence in the supremum norm. Then each scalar sequence (fn(z))n is Cauchy, so define f(z):=lim⁡nfn(z). Fix N with ∥fn−fm∥∞<1 for n,m≥N; letting m→∞ gives ∣f(z)∣≤∥fN∥∞+1 for all z, so f is bounded. Given ε>0, fix N with ∥fn−fm∥∞<ε for n,m≥N; letting m→∞ yields ∥fn−f∥∞≤ε for n≥N, so fn→f uniformly. By [L2], f is continuous. Hence every Cauchy sequence converges in Cb(M).

2.1L1step 1.1

By [L1], Ko is an isometric embedding of M into the Banach space Cb(M).

3.1step 2.1algebra

Let f=∑j=1mλjKo(xj) be a point of the algebraic convex hull of Ko[M], so each λj≥0 and ∑jλj=1. Put Δ:=∑i=1m∑j=1mλiλjd(xi,xj). If Δ=0, then every pair with λiλj>0 satisfies d(xi,xj)=0, hence all support points coincide and f=Ko(xj) lies in the image.

4.1step 3.1algebra

Assume Δ>0, and let y∈M. Evaluating at y gives f(y)−Ko(y)(y)=∑j=1mλjd(xj,y). For each i,j, the triangle inequality yields d(xi,xj)≤d(xi,y)+d(y,xj). Multiplying by λiλj and summing over i,j gives Δ≤2∑j=1mλjd(xj,y)=2(f(y)−Ko(y)(y)). Therefore ∥f−Ko(y)∥∞≥f(y)−Ko(y)(y)≥Δ2>0. Since this holds for every y∈M, the distance from f to Ko[M] is at least Δ/2. So no such f lies in the closure of Ko[M].

5.1step 3.1step 4.1

Steps 3.1 and 4.1 show that every point of the algebraic convex hull that lies in the closure of Ko[M] is already in Ko[M]. Thus Ko[M] is closed in its algebraic convex hull.

6.1L3L4step 1.1step 2.1step 5.1choose∎

For the final claim, let (X,T) be metrizable. If X=∅, the unique map ∅→{0} into any Banach space is a homeomorphic embedding, and its image is closed in its algebraic convex hull. Assume now that X≠∅. By [L4], choose a metric d inducing T. By [L3], the bounded metric db=d/(1+d) induces the same topology. Applying steps 1.1 to 5.1 to (X,db) gives an isometric embedding into a Banach space whose image is closed in its algebraic convex hull. Because d and db are topologically equivalent, that same map is a homeomorphic embedding for the original topology T.

Remarks

  • The closedness conclusion is relative to the algebraic convex hull. The proof above shows exactly why it need not be a statement about the whole Banach space.

5 · Examples, counterexamples and false statements

None yet.

Sources