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14 results · all verified · 10 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 4 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-generatedprecheck passaudited 2026-09-04Open 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 complex case by Real and complex scalar conventions for normed spaces. Let e:nX 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 1 norm

(a0,,an1)1:=j<naj.

Define

T:KnX,T(a0,,an1)=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:nX.

[L2]

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

[L3]

For m1, every norm on Rm is equivalent to the Euclidean norm (For n1 all norms on Rn are equivalent).

[L4]

The map Φ:CR2, Φ(a+bi)=(a,b), is a bijection with the stated coordinate arithmetic (C is the real coordinate plane, with coordinate arithmetic).

[L5]

The complex case is read with the same norm axioms and with scalar absolute value replaced by the complex modulus (Real and complex scalar conventions for normed spaces).

Proof

technique · direct
1.1

By [L1], every xX has exactly one coordinate list a=(a0,,an1)Kn with x=j<najej. Therefore the displayed map T is well defined, surjective, and injective.

L1
1.2

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

givenalgebra
1.3

In the complex case K=C, write Ψ:CnR2n for the coordinatewise real-imaginary-part map from [L4]. Define NR(u,v):=T(u0+iv0,,un1+ivn1). By [L4] and [L5] this is a real norm on R2n. If n=0 the inverse is again bounded trivially. If n1, [L3] applied to R2n gives c>0 with c(u,v)2NR(u,v) for every (u,v)R2n. Also uj+ivjuj+vj2(uj2+vj2)1/2, so (u0+iv0,,un1+ivn1)12n(u,v)2. Hence a12ncT(a)(aCn), which is the boundedness of T1.

L3L4L5algebra
2.1

Put C:=j<nej, a finite real. Then T(a)=j<najejj<najejCj<naj=Ca1, so T is bounded.

step 1.2givenalgebra
2.2

In the real case K=R, 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 n1, [L3] gives c>0 with ca1N(a)=T(a) for every aRn, so T1x1c1x for every xX. Thus T1 is bounded in the real case.

step 1.1step 1.2L3choose
3.1

Steps 1.1, 1.2, 1.3, 2.1, and 2.2 verify the three clauses of [L2]. Therefore T is a topological isomorphism of normed spaces.

L2step 1.1step 1.2step 1.3step 2.1step 2.2

Remarks

  • The proof uses the coordinate 1 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-generatedprecheck passaudited 2026-09-04Open item page →

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

Statement

Let X be a complex vector space carrying two 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 norms, and the dictionary with equivalent metrics.

Facts & Assumptions

Given: A complex vector space X with two norms a and b, and an ordered basis e:nX.

[L1]

For either norm on X, the basis map from Cn with the coordinate 1 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 cxaxbCxa for some c,C>0 (Equivalent norms, and the dictionary with equivalent metrics).

Proof

technique · direct
1.1

Let T:CnX be the common algebraic basis map T(a0,,an1)=j<najej. Applied to the norm a, [L1] gives constants A,B>0 such that T(a)aAa1anda1BT(a)a for every aCn.

L1choose
1.2

Applied to the norm b, [L1] gives constants A,B>0 such that T(a)bAa1anda1BT(a)b for every aCn.

L1choose
2.1

Let xX and write x=T(a), which is possible and unique by [L1]. Then xb=T(a)bAa1ABT(a)a=ABxa. Interchanging a and b gives xaABxb.

step 1.1step 1.2L1algebra
3.1

Step 2.1 is exactly the two-sided estimate of [L2], so the two norms are equivalent.

L2step 2.1

Remarks

CorollaryStatement: Literature-sourcedProof: AI-generatedprecheck passaudited 2026-09-04Open 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:nX.

[L1]

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

[L4]

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

Proof

technique · direct
1.1

By [L1], it is enough to prove that Kn is complete for the coordinate 1 norm, because a bounded bijection with bounded inverse preserves Cauchy sequences and their limits.

L1L4
1.2

In the real case K=R, if n=0 then R0={0} is complete trivially. If n1, [L2] applies directly to the 1 norm on Rn, so Rn is complete.

L2
1.3

In the complex case K=C, if n=0 the same trivial argument applies. If n1, [L3] identifies Cn with R2n by real and imaginary parts, and the proof of A chosen algebraic basis identifies a finite-dimensional normed space with a coordinate space already shows that the complex coordinate 1 norm is equivalent to a real norm on R2n. By [L2], that real norm is complete, hence so is Cn with the complex coordinate 1 norm.

L2L3
2.1

Let (xm) be a Cauchy sequence in X, and write am:=T1xm. Since T1 is bounded, (am) is Cauchy in Kn; by steps 1.2 and 1.3 it converges to some aKn. Since T is bounded, xm=T(am)T(a) in X. Thus every Cauchy sequence in X converges in X.

step 1.1step 1.2step 1.3L1
3.1

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

L4step 2.1

Remarks

  • The only substantive input is completeness of finite-dimensional real coordinate space. Everything else is transport of structure.
CorollaryStatement: Literature-sourcedProof: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-04Open item page →

A finite-dimensional normed subspace is closed

Statement

Let V be a normed space and let WV be a normed subspace. If W admits an ordered basis of finite length, then W is closed in V.

Facts & Assumptions

Given: A normed space V and a normed subspace WV that admits an ordered basis of finite length.

[L1]

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

[L2]

A complete normed subspace is closed in the ambient normed space (A complete normed subspace is closed).

[L3]

The restricted norm on a normed subspace is the ambient one (Normed subspace).

Proof

technique · direct
1.1

By [L3], the hypothesis makes W a normed space in its own right, with an ordered basis of finite length. Therefore [L1] makes W Banach, hence complete for its restricted norm.

L1L3
2.1

Applying [L2] to that complete normed subspace shows that W is closed in V.

L2step 1.1
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:XY 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:XY, and an ordered basis e:nX.

[L1]

The basis map T:KnX 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
1.1

Let T:KnX be the basis map from [L1]. Since T1 is bounded, there is B>0 such that T1x1Bx(xX).

L1choose
1.2

Put M:=j<nS(ej), a finite real. If x=j<najej=T(a0,,an1), then by [L3] Sx=j<najS(ej), so Sxj<najS(ej)Mj<naj=MT1x1.

L3givenalgebra
2.1

Combining steps 1.1 and 1.2 gives SxMBx(xX). Therefore S is bounded, and with [L3] this makes S a bounded linear operator by [L2].

L2L3step 1.1step 1.2
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 MX be a proper closed normed subspace (Normed subspace), and let 0<α<1. Then there exists xX such that x=1 and

dist(x,M):=infmMxm>α.

Facts & Assumptions

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

[A1]

The subspace M is proper and closed in X.

Proof

technique · direct
1.1

By [A1], choose yXM and put d:=infmMym. Because M is closed, its complement is open, so there is ρ>0 with B(y,ρ)XM. Hence ymρ for every mM, which gives dρ>0.

A1choosealgebra
2.1

Since α<1, one has d<d/α. By definition of the infimum, choose mM with dym<dα. Put x:=ymym. Then x=1.

step 1.1choosealgebra
3.1

Let mM. Because m+ymmM, the definition of d gives dy(m+ymm)=ymymm=ymxm. Therefore xmdym>α, the last inequality by step 2.1. Since mM was arbitrary, dist(x,M)>α.

step 2.1givenalgebra
4.1

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

step 2.1step 3.1

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 MX and 0<α<1 there is a unit vector at distance >α from M (Riesz lemma).

[L4]

Rn is locally compact for n1 (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
1.1

Assume X admits an ordered basis of length n. If K=R, the coordinate space Rn is locally compact by [L4] when n1, 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.

L1L4L5
1.2

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):={xX:xr2} is a closed subset of K and is therefore compact.

L6choose
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 MmX 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+1xj>1/2 for every jm. [L2, A finite-dimensional normed subspace is closed, choose]

2.1

Suppose for contradiction that X admits no ordered basis of finite length. We recursively build, for each m0, unit vectors x0,,xmX such that xjxk>12(jk). For m=0 choose any nonzero x0 and normalize it.

step 1.2assume-contrachoose
3.1

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 yjyk=r2xjxk>r4(jk).

step 2.1step 1.3algebra
4.1

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.

L3step 3.1assume-contra
5.1

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.

step 1.1step 4.1discharge-contradiction

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)nN of unit vectors in X such that

xnxm>αfor all nm.

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
1.1

Let S be the set of all finite lists s=(u0,,um) of unit vectors in X such that ujuk>α for all jk. The set S is nonempty because any single unit vector lies in it: choose any nonzero uX and normalize it.

L4choose
1.2

Define a relation R on S by sRt 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, MX; 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.

L2L3L4choose
1.3

By [L1], there is a sequence (sn)nN in S with snRsn+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.

L1construct
2.1

For m<n, the vector xn was chosen with dist(xn,span(x0,,xn1))>α, and xm lies in that span. Hence xnxm>α. Every xn is a unit vector by the definition of R. Therefore (xn)nN is the required separated sequence.

step 1.3L4

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

BX:={xX:x1}.

Then the following are equivalent.

  1. BX 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 BX.

[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
1.1

Assume X admits an ordered basis of length n, and let T:KnX be the coordinate isomorphism from [L1]. Then T1[BX] is closed in Kn, because T is continuous, and bounded in the coordinate 1 norm, because T1 is bounded.

L1
1.2

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

L4assume-contra
1.3

Let FBX 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, MX.

L3choose
2.1

In the real case K=R, if n=0 then BX={0} is compact. If n1, step 1.1 and [L5] show that T1[BX] is compact in Rn, hence BX is compact as its homeomorphic image.

step 1.1L5
2.2

In the complex case K=C, [L6] identifies Cn with R2n. Under that identification the coordinate 1 norm is equivalent to a real norm on R2n, so the bounded closed set T1[BX] is also closed and bounded in Euclidean space. If n=0 it is a singleton; if n1, [L5] makes it compact in R2n, hence compact in Cn and therefore in X.

step 1.1L5L6
2.3

Applying [L2] with α=1/2 gives a unit vector xX with dist(x,M)>1/2. Since F is a 1/2-net in the unit ball and xBX, some yF satisfies xy<1/2. But yM, which contradicts dist(x,M)>1/2.

L2step 1.3assume-contra
3.1

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

step 2.1step 2.2step 2.3discharge-contradiction

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

BX:={xX:x1}

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
1.1

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

L1assume-contra
2.1

That contradicts the hypothesis, so BX is not compact.

step 1.1discharge-contradiction
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:XX 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 BX, 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
1.1

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

L1algebra
2.1

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

L2step 1.1

Remarks

  • This item uses only the unit-ball criterion. It does not depend on a separate compact-operator definition item.
TheoremStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-04 rests on unproved materialOpen item page →
Rests on 1 statement not proved in this library. Every dependency marked below is recorded with a citation but is not established here, because the track that would prove it has not yet been developed in this library. Everything else in this proof is proved here.

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)nN 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.

Facts & Assumptions

Given: A Banach space X and, for contradiction, a sequence (bn)nN 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]

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

[L4]

The choice-strength ledger records that the separable complete-metric Baire theorem is available in ZF, while the unrestricted complete-metric theorem is strictly stronger (The Baire category theorem is four inequivalent statements over ZF ).

[L5]

A nonempty countable set is a surjective image of N, and every nonempty subset of N has a least element (A nonempty set is at most countable iff it is a surjective image of N, The well-ordering principle).

Proof

technique · direct
1.1

Let QK:=Q in the real case and QK:={a+ib:a,bQ} in the complex case. In either case QK is countable by [L3], and it is dense in K. Let DX be the set of all finite QK-linear combinations of the basis vectors bn. Coding a finite combination by the finite list of its indices together with its coefficient list gives an explicit surjection from a countable set onto D, so D is countable. Also 0D, so D is nonempty.

L3construct
1.2

For NN put FN:=spanR{b0,,bN} in the real case, and FN:=spanR{b0,ib0,,bN,ibN} in the complex case. In either case FN is finite-dimensional over R. It is proper: in the real case bN+1FN by linear independence of the basis image, and in the complex case a real-linear relation expressing bN+1 in terms of b0,ib0,,bN,ibN would be the same as a complex-linear relation expressing bN+1 in terms of b0,,bN. Thus [L2] makes every FN closed. Also X=NNFN, because every vector uses only finitely many basis vectors, and in the complex case every complex coefficient splits into real and imaginary parts.

L2givenalgebra
1.3

Every proper linear subspace of a normed space has empty interior. Indeed, if WX were a linear subspace containing some ball B(x,r), then B(0,r)W because W is closed under subtraction, and for any yX{0} the vector (r/(2y))y would lie in B(0,r)W, forcing y=(2y/r)(r/(2y))yW; also 0W. So W=X, contradiction.

givenalgebraassume-contra
2.1

By [L5], fix a surjection d:ND.

step 1.1L5choose
2.2

D is dense in X. Indeed, let x=j=0mλjbnjX and let ε>0. Choose qjQK with λjqj<ε/(2(m+1)(1+j=0mbnj)). Then xj=0mqjbnjj=0mλjqjbnj<ε. So every vector of X lies in the closure of D.

step 1.1algebrachoose
3.1

We now run the separable-complete Baire argument inside the open unit ball U0:={x:x<1}. Because F0 is closed with empty interior, the set U0F0 is nonempty and open. By step 2.2, the set A0:={mN:d(m)U0F0} is nonempty, so [L5] gives its least element m0. Put x0:=d(m0). Since U0F0 is open at x0, the set B0:={kN1:B(x0,1k)U0F0} is nonempty; let k0 be its least element and set r0:=1/k0. Then B(x0,r0)U0F0.

step 2.1step 2.2step 1.3L5chooseconstruct
3.2

Inductively, if closed balls B(xn,rn)U0Fn have been chosen with B(xn,rn)B(xn1,rn1/2) for n1, then B(xn,rn/2)Fn+1 is a nonempty open set. By step 2.2, the set An+1:={mN:d(m)B(xn,rn/2)Fn+1} is nonempty, so [L5] gives its least element mn+1. Put xn+1:=d(mn+1). Since B(xn,rn/2)Fn+1 is open at xn+1, the set Bn+1:={kN1:1k<rn2 and B(xn+1,1k)B(xn,rn/2)Fn+1} is nonempty; let kn+1 be its least element and set rn+1:=1/kn+1. Then B(xn+1,rn+1)B(xn,rn/2)Fn+1B(xn,rn), and rn+1<rn/2. Hence rnr0/2n for every n, so rn0.

step 2.1step 2.2step 1.3L5chooseconstruct
4.1

For m>n, the inclusion from step 3.2 gives xmB(xn,rn/2), so xmxn<rn/2. Hence (xn) is Cauchy. Since X is Banach, [L1] gives xnx for some xX. Each B(xn,rn) is closed and contains all later xm, so it contains the limit x; therefore xB(xn,rn)XFn for every n.

L1step 3.1step 3.2
5.1

Step 4.1 contradicts X=NFN from step 1.2. Therefore no countably infinite Hamel basis exists. The foundational point recorded in [L4] is that the proof used only a fixed countable dense set, with both the recurring point selections and the ball radii chosen canonically from N, and not the unrestricted complete-metric Baire theorem.

L4step 1.2step 4.1discharge-contradiction

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 applicablejudge pass (gpt-5.6-terra)audited 2026-09-04 rests on unproved materialOpen item page →
Rests on 1 statement not proved in this library. Every dependency marked below is recorded with a citation but is not established here, because the track that would prove it has not yet been developed in this library. Everything else in this proof is proved here.

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". It only needs the separable complete-metric route, and that is exactly the distinction recorded in The Baire category theorem is four inequivalent statements 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 oM. Inside the real function space RM of The vector space FX of all functions XF with pointwise operations, and Fn as the case X=n={0,1,,n1}, write Cb(M) for the set of bounded continuous real-valued functions on M, equipped with the supremum norm

f:=supzMf(z).

For each xM, define a function Ko(x):MR by

Ko(x)(z):=d(x,z)d(o,z)(zM).

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 xM.

The resulting map

Ko:MCb(M),xKo(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 oM, and let Ko:MCb(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,yM).

Facts & Assumptions

Given: A nonempty metric space (M,d), a basepoint oM, and the map Ko:MCb(M).

[L1]

For each xM, 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
1.1

By [L1], the map Ko is well defined as a map into Cb(M). For any x,y,zM, 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).

L1algebra
2.1

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).

step 1.1algebra
3.1

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

L2step 1.1step 2.1

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:MB 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 oM.

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 oM, and the based Kuratowski map Ko:MCb(M).

[L1]

Proof

technique · direct
1.1

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):=limnfn(z). Fix N with fnfm<1 for n,mN; letting m gives f(z)fN+1 for all z, so f is bounded. Given ε>0, fix N with fnfm<ε for n,mN; letting m yields fnfε for nN, so fnf uniformly. By [L2], f is continuous. Hence every Cauchy sequence converges in Cb(M).

L2choose
2.1

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

L1step 1.1
3.1

Let f=j=1mλjKo(xj) be a point of the algebraic convex hull of Ko[M], so each λj0 and jλj=1. Put Δ:=i=1mj=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.

step 2.1algebra
4.1

Assume Δ>0, and let yM. 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 Δ2j=1mλjd(xj,y)=2(f(y)Ko(y)(y)). Therefore fKo(y)f(y)Ko(y)(y)Δ2>0. Since this holds for every yM, the distance from f to Ko[M] is at least Δ/2. So no such f lies in the closure of Ko[M].

step 3.1algebra
5.1

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.

step 3.1step 4.1
6.1

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.

L3L4step 1.1step 2.1step 5.1choose

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