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Finite Dimensional Normed Spaces and Riesz Lemma
1 · Prerequisites
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Linear Operators and Quotient Spaces
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Function Space Topologies and the Exponential Law
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Metric Spaces
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Normed and Banach Spaces
- Order, Zorn's Lemma, and the Axiom of Choice
- Polynomial Rings, the Division Algorithm and Roots
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Sequences and Limits
- Set Theory Beyond Choice: Recorded, Not Proved Here
- Simple Field Extensions and the Construction of the Complex Numbers
- Subspaces, Products, and Quotients
- Suprema and Infima
- The Topology of Euclidean Space
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Vector Spaces, Linear Subspaces, Span and Direct Sums
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
A chosen algebraic basis identifies a finite-dimensional normed space with a coordinate space
Statement
Let be a normed space over , read in the complex case by Real and complex scalar conventions for normed spaces. Let 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 . Give its coordinate norm
Define
Then is a topological isomorphism of normed spaces in the sense of A topological isomorphism of normed spaces.
Facts & Assumptions
Given: A normed space over and an ordered basis .
An ordered basis is a finite list whose image is a basis (Basis of a vector space: a linearly independent spanning subset; and ordered basis: an injective finite list whose image is a basis), and A finite list is an ordered basis if and only if every equals for exactly one ; those scalars are the coordinates of in that ordered basis identifies its span with exactly the vectors of the form , with those coordinates unique.
A topological isomorphism of normed spaces is a bounded linear bijection whose inverse is bounded (A topological isomorphism of normed spaces).
For , every norm on is equivalent to the Euclidean norm (For all norms on are equivalent).
The map , , is a bijection with the stated coordinate arithmetic ( is the real coordinate plane, with coordinate arithmetic).
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
By [L1], every has exactly one coordinate list with . Therefore the displayed map is well defined, surjective, and injective.
is linear, because finite sums and scalar multiplication distribute over the coordinate formula: .
In the complex case , write for the coordinatewise real-imaginary-part map from [L4]. Define By [L4] and [L5] this is a real norm on . If the inverse is again bounded trivially. If , [L3] applied to gives with for every . Also , so Hence which is the boundedness of .
Put , a finite real. Then so is bounded.
In the real case , the pullback is a norm on : definiteness uses step 1.1, and the triangle and homogeneity axioms come from the norm axioms on and the linearity of . If , then and the inverse of is the zero map, hence bounded. If , [L3] gives with for every , so for every . Thus is bounded in the real case.
Steps 1.1, 1.2, 1.3, 2.1, and 2.2 verify the three clauses of [L2]. Therefore is a topological isomorphism of normed spaces.
Remarks
- The proof uses the coordinate norm because it makes the boundedness of 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.
All norms on a finite-dimensional complex normed space are equivalent
Statement
Let be a complex vector space carrying two norms and , and suppose admits an ordered basis of finite length. Then and are equivalent in the sense of Equivalent norms, and the dictionary with equivalent metrics.
Facts & Assumptions
Given: A complex vector space with two norms and , and an ordered basis .
For either norm on , the basis map from with the coordinate norm is a topological isomorphism (A chosen algebraic basis identifies a finite-dimensional normed space with a coordinate space).
Equivalent norms are exactly those satisfying for some (Equivalent norms, and the dictionary with equivalent metrics).
Proof
Let be the common algebraic basis map . Applied to the norm , [L1] gives constants such that for every .
Applied to the norm , [L1] gives constants such that for every .
Let and write , which is possible and unique by [L1]. Then Interchanging and gives
Step 2.1 is exactly the two-sided estimate of [L2], so the two norms are equivalent.
Remarks
- The proof does not need a separate norm-comparison theorem on : one coordinate isomorphism for each norm already supplies the comparison.
- The published theorem For all norms on are equivalent remains the real base case on which A chosen algebraic basis identifies a finite-dimensional normed space with a coordinate space rests.
Every finite-dimensional normed space is Banach
Statement
Let be a normed space over and assume admits an ordered basis of finite length. Then is a Banach space in the sense of Banach space.
Facts & Assumptions
Given: A normed space over with an ordered basis .
The basis map is a topological isomorphism (A chosen algebraic basis identifies a finite-dimensional normed space with a coordinate space).
is the real coordinate plane ( is the real coordinate plane, with coordinate arithmetic).
A Banach space is a normed space complete for its norm metric (Banach space).
Proof
By [L1], it is enough to prove that is complete for the coordinate norm, because a bounded bijection with bounded inverse preserves Cauchy sequences and their limits.
In the real case , if then is complete trivially. If , [L2] applies directly to the norm on , so is complete.
In the complex case , if the same trivial argument applies. If , [L3] identifies with 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 norm is equivalent to a real norm on . By [L2], that real norm is complete, hence so is with the complex coordinate norm.
Let be a Cauchy sequence in , and write . Since is bounded, is Cauchy in ; by steps 1.2 and 1.3 it converges to some . Since is bounded, in . Thus every Cauchy sequence in converges in .
By [L4], step 2.1 says exactly that is Banach.
Remarks
- The only substantive input is completeness of finite-dimensional real coordinate space. Everything else is transport of structure.
A finite-dimensional normed subspace is closed
Statement
Let be a normed space and let be a normed subspace. If admits an ordered basis of finite length, then is closed in .
Facts & Assumptions
Given: A normed space and a normed subspace that admits an ordered basis of finite length.
Such a normed space is Banach (Every finite-dimensional normed space is Banach).
A complete normed subspace is closed in the ambient normed space (A complete normed subspace is closed).
The restricted norm on a normed subspace is the ambient one (Normed subspace).
Proof
By [L3], the hypothesis makes a normed space in its own right, with an ordered basis of finite length. Therefore [L1] makes Banach, hence complete for its restricted norm.
Applying [L2] to that complete normed subspace shows that is closed in .
A linear map from a finite-dimensional normed space is bounded
Statement
Let and be normed spaces over the same scalar field, and assume admits an ordered basis of finite length. Then every linear map is a bounded linear operator in the sense of A bounded linear operator between normed spaces.
Facts & Assumptions
Given: Normed spaces and , a linear map , and an ordered basis .
The basis map is a topological isomorphism (A chosen algebraic basis identifies a finite-dimensional normed space with a coordinate space).
A bounded linear operator is a linear map satisfying one global norm bound (A bounded linear operator between normed spaces).
Linearity means (Linear map between vector spaces over the same field).
Proof
Let be the basis map from [L1]. Since is bounded, there is such that
Put , a finite real. If , then by [L3] so
Combining steps 1.1 and 1.2 gives Therefore is bounded, and with [L3] this makes a bounded linear operator by [L2].
Riesz lemma
Statement
Let be a normed space, let be a proper closed normed subspace (Normed subspace), and let . Then there exists such that and
Facts & Assumptions
Given: A normed space , a proper closed normed subspace , and a real with .
The subspace is proper and closed in .
Proof
By [A1], choose and put . Because is closed, its complement is open, so there is with . Hence for every , which gives .
Since , one has . By definition of the infimum, choose with Put Then .
Let . Because , the definition of gives Therefore the last inequality by step 2.1. Since was arbitrary, .
Step 3.1 produces a unit vector whose distance from exceeds , as required.
Remarks
- The proof uses only an approximate minimizer. No nearest-point theorem is assumed.
A normed space is locally compact if and only if it is finite-dimensional
Statement
Let be a normed space over , equipped with its norm topology. Then the following are equivalent.
- is locally compact (Locally compact topological space: every point has a compact neighbourhood; and what this says in a metric space).
- admits an ordered basis of finite length.
This is the page's precise reading of "finite-dimensional".
Facts & Assumptions
Given: A normed space over .
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).
Riesz's lemma: for every proper closed normed subspace and there is a unit vector at distance from (Riesz lemma).
Compact metric spaces are totally bounded (A compact metric space is complete and totally bounded, and neither implication uses any choice principle).
is locally compact for ( is locally compact and -compact).
is the real coordinate plane ( is the real coordinate plane, with coordinate arithmetic).
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
Assume admits an ordered basis of length . If , the coordinate space is locally compact by [L4] when , and is compact, hence locally compact. If , then identifies with by [L5], so the same conclusion holds there. By [L1], is homeomorphic to that coordinate space, hence locally compact.
Assume now that is locally compact. By [L6], applied to the norm metric, has a compact neighbourhood containing some open ball with . The closed ball is a closed subset of and is therefore compact.
For the successor step, let . The finite list generates , so by deleting dependent terms if necessary one gets an ordered basis of finite length for . Thus by the contradiction hypothesis, and A finite-dimensional normed subspace is closed makes closed. Applying [L2] with yields a unit vector with . In particular for every . [L2, A finite-dimensional normed subspace is closed, choose]
Suppose for contradiction that admits no ordered basis of finite length. We recursively build, for each , unit vectors such that For choose any nonzero and normalize it.
Every lies in the closed ball after rescaling by : namely satisfies , so lies in that compact set. Also
By [L3], the compact metric space is totally bounded. Taking , it admits a finite -net. But one -ball can contain at most one of the points , since distinct ones are more than apart. Therefore a finite -net cannot cover arbitrarily large finite sets , contradiction.
The contradiction in step 4.1 shows that 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.
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 -indexed chain). Let be a normed space that is not spanned by any finite list, and let . Then there exists a sequence of unit vectors in such that
Facts & Assumptions
Given: Dependent Choice, a normed space that is not the span of any finite list, and a real with .
Dependent Choice produces an -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 -indexed chain).
If a subspace admits an ordered basis of finite length, then it is closed (A finite-dimensional normed subspace is closed).
Riesz's lemma gives a unit vector at distance from every proper closed subspace (Riesz lemma).
The span of a subset is the set of its finite linear combinations (Linear combination of a finite list, and the span as the smallest linear subspace containing ).
Proof
Let be the set of all finite lists of unit vectors in such that for all . The set is nonempty because any single unit vector lies in it: choose any nonzero and normalize it.
Define a relation on by when is obtained from by appending one more unit vector with . If , then the finite span is generated by a finite list, so by deleting dependent terms one obtains an ordered basis of finite length for . Since is not the span of any finite list, ; by [L2] it is closed. Now [L3] applies to and produces a unit vector with , so has an -successor. Thus is entire on .
By [L1], there is a sequence in with for every . Because each successor appends exactly one new term, the first entries stabilize: if denotes the last entry appended when passing from to , then every earlier remains in all later lists.
For , the vector was chosen with , and lies in that span. Hence . Every is a unit vector by the definition of . Therefore 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.
The closed unit ball is compact if and only if the normed space is finite-dimensional
Statement
Let be a normed space over and write
Then the following are equivalent.
- is compact in the norm metric (Open cover, subcover, compact metric space, and compact subset of a metric space).
- admits an ordered basis of finite length.
Facts & Assumptions
Given: A normed space over and its closed unit ball .
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).
Riesz's lemma gives a unit vector at distance from every proper closed subspace (Riesz lemma).
Finite-dimensional normed subspaces are closed (A finite-dimensional normed subspace is closed).
Compact metric spaces are totally bounded (A compact metric space is complete and totally bounded, and neither implication uses any choice principle).
Closed and bounded subsets of are compact for (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).
is the real coordinate plane ( is the real coordinate plane, with coordinate arithmetic).
Proof
Assume admits an ordered basis of length , and let be the coordinate isomorphism from [L1]. Then is closed in , because is continuous, and bounded in the coordinate norm, because is bounded.
Assume conversely that is compact. Then [L4] makes it totally bounded. Suppose for contradiction that admits no ordered basis of finite length.
Let be a finite -net, and put . The finite set generates , so by deleting dependent terms one gets an ordered basis of finite length for ; thus [L3] makes closed. Since is not finitely generated, .
In the real case , if then is compact. If , step 1.1 and [L5] show that is compact in , hence is compact as its homeomorphic image.
In the complex case , [L6] identifies with . Under that identification the coordinate norm is equivalent to a real norm on , so the bounded closed set is also closed and bounded in Euclidean space. If it is a singleton; if , [L5] makes it compact in , hence compact in and therefore in .
Applying [L2] with gives a unit vector with . Since is a -net in the unit ball and , some satisfies . But , which contradicts .
Therefore 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.
In an infinite-dimensional normed space the closed unit ball is not compact
Statement
Let be a normed space that admits no ordered basis of finite length. Then its closed unit ball
is not compact.
Facts & Assumptions
Given: A normed space with no ordered basis of finite length.
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
If were compact, [L1] would force to admit an ordered basis of finite length.
That contradicts the hypothesis, so is not compact.
On an infinite-dimensional normed space, the identity operator is not compact
Statement
Let be a normed space that admits no ordered basis of finite length, and let be the identity map. Then is bounded, but it does not carry the closed unit ball of to a compact subset of . In that standard sense, the identity operator is not compact.
Facts & Assumptions
Given: A normed space with no ordered basis of finite length, its closed unit ball , and the identity map .
A bounded linear operator is a linear map satisfying one global norm bound (A bounded linear operator between normed spaces).
In this setting the closed unit ball is not compact (In an infinite-dimensional normed space the closed unit ball is not compact).
Proof
The identity map is linear and satisfies for every , so [L1] makes it a bounded linear operator.
One has . By [L2], that set is not compact. Therefore the identity operator does not send the closed unit ball to a compact subset of .
Remarks
- This item uses only the unit-ball criterion. It does not depend on a separate compact-operator definition item.
A Banach space has no countably infinite Hamel basis
Statement
Let be a Banach space over . Then has no countably infinite Hamel basis. Equivalently, there is no sequence of pairwise distinct vectors whose image is a basis of 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 and, for contradiction, a sequence of pairwise distinct vectors whose image is a Hamel basis of .
A Banach space is complete for its norm metric (Banach space).
Finite-dimensional normed subspaces are closed (A finite-dimensional normed subspace is closed).
is countably infinite ( is countably infinite, Finite, countably infinite, countable, uncountable).
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 ‡).
A nonempty countable set is a surjective image of , and every nonempty subset of has a least element (A nonempty set is at most countable iff it is a surjective image of , The well-ordering principle).
Proof
Let in the real case and in the complex case. In either case is countable by [L3], and it is dense in . Let be the set of all finite -linear combinations of the basis vectors . 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 , so is countable. Also , so is nonempty.
For put in the real case, and in the complex case. In either case is finite-dimensional over . It is proper: in the real case by linear independence of the basis image, and in the complex case a real-linear relation expressing in terms of would be the same as a complex-linear relation expressing in terms of . Thus [L2] makes every closed. Also , because every vector uses only finitely many basis vectors, and in the complex case every complex coefficient splits into real and imaginary parts.
Every proper linear subspace of a normed space has empty interior. Indeed, if were a linear subspace containing some ball , then because is closed under subtraction, and for any the vector would lie in , forcing ; also . So , contradiction.
By [L5], fix a surjection .
is dense in . Indeed, let and let . Choose with . Then So every vector of lies in the closure of .
We now run the separable-complete Baire argument inside the open unit ball . Because is closed with empty interior, the set is nonempty and open. By step 2.2, the set is nonempty, so [L5] gives its least element . Put . Since is open at , the set is nonempty; let be its least element and set . Then .
Inductively, if closed balls have been chosen with for , then is a nonempty open set. By step 2.2, the set is nonempty, so [L5] gives its least element . Put . Since is open at , the set is nonempty; let be its least element and set . Then and . Hence for every , so .
For , the inclusion from step 3.2 gives , so . Hence is Cauchy. Since is Banach, [L1] gives for some . Each is closed and contains all later , so it contains the limit ; therefore for every .
Step 4.1 contradicts 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 , and not the unrestricted complete-metric Baire theorem.
Remarks
- The proof is written over the underlying real normed space in the complex case, so no separate complex Baire argument is needed.
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.
The based Kuratowski distance map into bounded continuous functions
Definition
Let be a nonempty metric space (Metric space: iff , symmetry, and the triangle inequality; pseudometric and ultrametric) and fix a basepoint . Inside the real function space of The vector space of all functions with pointwise operations, and as the case , write for the set of bounded continuous real-valued functions on , equipped with the supremum norm
For each , define a function by
The triangle inequality gives
so is bounded. The same inequality in the variable shows that is -Lipschitz, hence continuous. Therefore for every .
The resulting map
is the based Kuratowski distance map.
Remarks
- The subtraction by is what keeps the target bounded when the metric space itself is unbounded.
The based Kuratowski distance map is an isometric embedding
Statement
Let be a nonempty metric space, fix , and let be the based Kuratowski distance map of The based Kuratowski distance map into bounded continuous functions. Then is an isometric embedding in the sense of Isometry, isometric embedding, and the subspace metric on a subset:
Facts & Assumptions
Given: A nonempty metric space , a basepoint , and the map .
For each , defines a bounded continuous function on (The based Kuratowski distance map into bounded continuous functions).
An isometric embedding preserves all distances (Isometry, isometric embedding, and the subspace metric on a subset).
Proof
By [L1], the map is well defined as a map into . For any , the triangle inequality gives so Taking the supremum over yields .
Evaluating at gives and evaluating at gives the same value. Therefore the supremum norm is at least .
Steps 1.1 and 2.1 give for all , which is exactly [L2]. Hence 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.
Kuratowski-Wojdyslawski embedding theorem
Statement
Let be a bounded nonempty metric space. Then there is a Banach space and an isometric embedding such that is closed in its algebraic convex hull.
Concretely, one may take with the supremum norm and for any basepoint .
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 , a basepoint , and the based Kuratowski map .
is an isometric embedding (The based Kuratowski distance map is an isometric embedding).
Uniform limits of continuous functions are continuous (A uniform limit of continuous functions is continuous, so is closed in under the uniform metric).
The metric is bounded and topologically equivalent to ( and are metrics uniformly equivalent to , so every metric space carries a bounded metric with the same topology, Topologically, uniformly and Lipschitz equivalent metrics on a set).
A metrizable space is one whose topology is induced by some metric (Metrizable space: a topological space whose topology is induced by some metric; metrizability is topological, the metric is not).
Proof
The target is Banach for the supremum norm. Indeed, let be a Cauchy sequence in the supremum norm. Then each scalar sequence is Cauchy, so define . Fix with for ; letting gives for all , so is bounded. Given , fix with for ; letting yields for , so uniformly. By [L2], is continuous. Hence every Cauchy sequence converges in .
By [L1], is an isometric embedding of into the Banach space .
Let be a point of the algebraic convex hull of , so each and . Put If , then every pair with satisfies , hence all support points coincide and lies in the image.
Assume , and let . Evaluating at gives For each , the triangle inequality yields . Multiplying by and summing over gives Therefore Since this holds for every , the distance from to is at least . So no such lies in the closure of .
Steps 3.1 and 4.1 show that every point of the algebraic convex hull that lies in the closure of is already in . Thus is closed in its algebraic convex hull.
For the final claim, let be metrizable. If , the unique map into any Banach space is a homeomorphic embedding, and its image is closed in its algebraic convex hull. Assume now that . By [L4], choose a metric inducing . By [L3], the bounded metric induces the same topology. Applying steps 1.1 to 5.1 to gives an isometric embedding into a Banach space whose image is closed in its algebraic convex hull. Because and are topologically equivalent, that same map is a homeomorphic embedding for the original topology .
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
- Daniel Daners, Introduction to Functional Analysis
- Tomasz Kochanek, Functional analysis, Lecture 1
- Gerald Teschl, Topics in Real and Functional Analysis
- Paul Howard and Eleftherios Tachtsis, On infinite-dimensional Banach spaces and weak forms of the axiom of choice
- Andrew Lin and Casey Rodriguez, MIT 18.102 Introduction to Functional Analysis
- Christopher Heil, A Basis Theory Primer
- James Dugundji, Topology