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Banach Alaoglu Goldstine and Krein Milman
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- 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
- Continuity, IVT, EVT, and Uniform Continuity
- Convergence: Nets and Filters
- Convex and Semicontinuous Functions on Rⁿ
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Countability Axioms and Cardinal Functions
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces Adjoint Operators and Annihilators
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Geometric Hahn Banach and Convex Separation
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Locally Convex Spaces and Continuous Separation
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Measures and Their Basic Properties
- Metric Spaces
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Normed and Banach Spaces
- Norming and Separation under Hahn–Banach
- Order, Zorn's Lemma, and the Axiom of Choice
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Properties of the Integral and the Working FTC
- 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
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Sigma Algebras and Borel Sets
- Simple Field Extensions and the Construction of the Complex Numbers
- Subspaces, Products, and Quotients
- Suprema and Infima
- The Analytic Hahn Banach Theorem
- The Complex Exponential and Euler's Formula
- The Derivative and the Mean Value Theorems
- The Exponential Function
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Lᵖ Spaces Holder Minkowski and Riesz Fischer
- The Riemann Integral: Definition and Integrability
- The Total Derivative in ℝᵐ → ℝⁿ
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Vector Spaces, Linear Subspaces, Span and Direct Sums
- Weak and Weak Star Topologies
2 · Summary
Weak-star compactness begins with a concrete product embedding of the dual ball. Banach–Alaoglu spends the ultrafilter lemma only at the product- compactness step, while separability turns bounded weak-star sets into metric spaces and hence makes compactness sequential. Goldstine instead uses the relative Hahn–Banach principle to solve finite approximation problems, with no compactness assumption. The Banach–Dieudonné criterion records its additional DC and compactness costs explicitly.
The second half develops compact convex geometry. Faces and extreme points are intrinsic real-convex notions in either scalar field. Minimal closed faces give Krein–Milman under full AC, separation gives the closed-convex-hull form, and an extremal-subset proof establishes Bauer's principle without pretending that a convex function's maximizer set is convex. Milman's converse is proved from a finite compact-convex decomposition. The final corollary applies this framework to weak-star compact dual balls with the combined AC cost stated.
3 · Logical flowchart
4 · Definitions, theorems and proofs
Dual ball as a closed subset of a product
Statement
Let be a normed space over and let . For each put
The evaluation map
is a homeomorphism onto a closed subspace of the product. This includes .
Facts & Assumptions
Given: A normed space over or .
The weak-star topology on is the initial topology of the evaluations (The weak-star topology from finite evaluations).
The product topology is the initial topology of the coordinate projections, and an empty product is a one-point space (The product set of functions choosing a point in each factor, the projections, the box topology, and the product topology as the initial topology of the projections; the empty product is a one-point space).
Elements of are bounded linear functionals and (The dual space X^* of a normed space and its dual norm).
Proof
If , then , so belongs to the displayed product; evaluations separate functionals, so is injective. By the two initial-topology descriptions, the subspace topology pulled back by is exactly on the ball.
Inside the product let be the set of all satisfying
Each equality defines a closed set: it is the inverse image of under a continuous finite linear combination of coordinate projections. Hence , their intersection, is closed. [F2]
Every lies in . Conversely, if , then is linear and its coordinate bound gives for every . Thus is bounded with , so . Consequently .
Steps 1.1 and 2.1 show that is a homeomorphism onto the closed subspace . When , both the ball and the product are one-point spaces and the same argument applies.
Banach–Alaoglu
Statement
Assume the ultrafilter lemma. If is a real or complex normed space, then its closed dual unit ball is compact in the weak-star topology . Completeness of is not required.
Facts & Assumptions
Given: The ultrafilter lemma and a real or complex normed space .
Evaluation is a weak-star homeomorphism of onto a closed subspace of (Dual ball as a closed subset of a product).
Assuming the ultrafilter lemma, an arbitrary product of compact Hausdorff spaces is compact (Assuming the ultrafilter lemma, an arbitrary product of compact Hausdorff spaces is compact).
Closed and bounded subsets of are compact, and in particular closed bounded intervals in are compact (Heine-Borel in : with the Euclidean metric a subset of is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line).
A closed subspace of a compact topological space is compact (A closed subspace of a compact space is compact, and a finite union of compact subspaces is compact).
Proof
For each , the disk is compact and Hausdorff: for it is a closed bounded interval, and for it is the closed Euclidean disk in . This finite-dimensional fact uses no choice; when , .
The product is compact by compact-Hausdorff Tychonoff. This is the unique step that uses the assumed ultrafilter lemma.
By [F1], evaluation carries homeomorphically onto a closed subspace of . The subspace is compact by [F4].
An open cover of transports under the homeomorphism to an open cover of ; a finite subcover of pulls back to a finite subcover of the ball. Therefore is weak-star compact. No step used completeness of ; if , both spaces in [F1] are singletons.
Absolute polar in a normed dual pair
Definition
Let be a real or complex normed space and let . The absolute polar of in the continuous dual The dual space X^* of a normed space and its dual norm is
This convention uses the absolute value over both scalar fields. In particular, it is not the one-sided real polar defined by inequalities . If , then ; if , the same conclusion holds because every linear functional vanishes at zero.
Weak-star compactness of polar sets
Statement
Assume the ultrafilter lemma. Let be a real or complex normed space and let be a norm-neighborhood of . Then its absolute polar
is weak-star compact. Neither convexity nor balancedness of is required.
Facts & Assumptions
Given: The ultrafilter lemma, a real or complex normed space , and a norm-neighborhood of zero.
Under the ultrafilter lemma the closed dual unit ball is weak-star compact, without completeness of the predual (Banach–Alaoglu).
Finite evaluation sets form a weak-star neighborhood basis, and scalar multiplication is continuous in the weak-star topology (Basic weak star neighborhoods).
The absolute polar is (Absolute polar in a normed dual pair).
Proof
Choose with and put . Then . If and , then , whence . Thus and .
The polar is weak-star closed. Indeed, if , some satisfies ; the basic neighborhood misses by the reverse triangle inequality.
The map is a weak-star homeomorphism with inverse , by continuity of scalar multiplication. It carries onto , so the latter is compact by [F1]. The ultrafilter lemma enters only through [F1].
By steps 1.1 and 1.2, is a closed subset of the compact space in step 1.3. Adding its open complement to any open cover of gives an open cover of that compact space, so deleting the complement from a finite subcover proves that is compact. For this says that a singleton is compact.
Dual ball weak-star metrizable for a separable predual
Statement
Let be a real or complex normed space and let be a fixed dense sequence in . On every norm-bounded subset , the weak-star topology is induced by
The boundedness of is essential to this assertion; no metric on all of is claimed.
Facts & Assumptions
Given: A dense sequence in a real or complex normed space , a subset , and with for every .
The weak-star neighborhood basis consists of conditions on finitely many evaluations, and the topology is Hausdorff (Basic weak star neighborhoods).
Proof
The series defining converges because its terms lie between and . Symmetry and the triangle inequality follow from those of the absolute value and from . If , then for all ; for any , take for each the least index with . Then and . Thus . This also covers , when has at most one point.
Fix and a basic weak-star neighborhood . If , take any metric ball. Otherwise, when , choose with ; when the assertion is immediate. Put . If , then , and hence . Thus a -ball about lies in .
Conversely, given , choose so that and put . The weak-star neighborhood satisfies .
Step 2.1 makes every weak-star neighborhood contain a metric neighborhood, while step 2.2 makes every metric neighborhood contain a weak-star neighborhood. Hence the two relative topologies on agree.
A separable predual has weak-star sequentially compact dual ball
Statement
Assume the ultrafilter lemma. If is a separable real or complex normed space, then every sequence in has a subsequence converging in the weak-star topology. Completeness of is not required.
Facts & Assumptions
Given: The ultrafilter lemma and a separable real or complex normed space .
A separable space has an at most countable dense subset (Separability: the existence of an at most countable dense subset).
A fixed dense sequence metrizes the weak-star topology on every norm-bounded subset of the dual (Dual ball weak-star metrizable for a separable predual).
Under the ultrafilter lemma, is weak-star compact, without completeness of (Banach–Alaoglu).
Every countably compact metric space is sequentially compact, and this implication uses no choice principle (In any metric space compactness implies countable compactness and limit point compactness, and each of countable compactness and limit point compactness implies sequential compactness; every implication here is proved without a choice principle).
Proof
Fix an at most countable dense set . It is nonempty because and the empty set is not dense in a nonempty space. If is countably infinite, a witnessing bijection is a dense sequence. If is finite, a witnessing finite list can be repeated periodically (and its first entry repeated after the list ends) to give a sequence with range . Thus has a fixed dense sequence; no countable family of choices was made.
The same ball is weak-star compact by Banach–Alaoglu; the ultrafilter lemma is used at this step through [F3].
Applying [F2] to the norm-bounded set gives a metric inducing precisely its relative weak-star topology.
By steps 2.1 and 1.2 the ball is a compact metric space, hence countably compact by [F4] and sequentially compact by [F5]. Equivalently, every sequence in it has a weak-star convergent subsequence.
Goldstine's theorem
Statement
Assume HB. For every real or complex normed space , the canonical image is weak-star dense in . No compactness or completeness hypothesis is used.
Facts & Assumptions
Given: HB, a real or complex normed space , and the canonical evaluation map .
Under HB the canonical bidual map is a scalar-linear isometry: and (Relative Hahn–Banach makes the canonical bidual map an isometry).
A point outside a nonempty closed convex subset of a finite-dimensional real Euclidean space admits strict real-linear separation (A point outside a nonempty closed convex set is strictly separated from it).
Weak-star neighborhoods are determined by finitely many evaluations (Basic weak star neighborhoods).
HB is the real dominated-extension principle, with no topology or completeness hypothesis (The real dominated-extension principle as an additional hypothesis over ZF).
Proof
By [F1], . This is where HB supplies the norm equality needed for the stated canonical isometric embedding.
Fix and a basic weak-star neighborhood determined by and . If , it contains . Suppose , put , , and let be the Euclidean closure of in , viewed as or . The set is nonempty, closed and convex because is nonempty and convex and is real-linear.
If , [F2] gives a nonzero real-linear functional and a real with for every . Every real-linear functional on has the form : in the complex case write its coefficients on real and imaginary coordinate vectors and take .
Put . The separation inequalities give . Yet : the inequality is the norm bound, while for any rotate or change its sign so that becomes the nonnegative real , and then take the supremum. Since , one also has .
The strict inequality in step 3.1 would therefore read , which is impossible. Hence .
Because lies in the closure of , the open coordinate box meets . Thus some satisfies for every , so belongs to the chosen neighborhood.
Every basic weak-star neighborhood of every therefore meets , including the empty-test and zero-space cases handled in step 1.2. This is exactly weak-star density.
Goldstine finite-data approximation
Statement
Assume HB. Let be a real or complex normed space, , , and . There exists such that
The finite list may be empty.
Facts & Assumptions
Given: HB and the space, bidual vector, finite test list, and positive tolerance in the statement.
Under HB, is weak-star dense in (Goldstine's theorem).
Finite evaluation inequalities with positive tolerance form basic weak-star neighborhoods, including the empty list (Basic weak star neighborhoods).
HB is the real dominated-extension principle named as an additional hypothesis over ZF (The real dominated-extension principle as an additional hypothesis over ZF).
Proof
Define . It is a basic weak-star neighborhood of ; when , it is all of .
By Goldstine, meets , so there is with . This invocation carries the HB hypothesis; no sequence or family of approximants is selected.
Since , the witness from step 2.1 satisfies every displayed inequality, and hence is the required finite-data approximant.
Banach–Dieudonné linear-subspace criterion
Statement
Assume the ultrafilter lemma, DC, and HB. Let be a real or complex Banach space and let be a linear subspace of . Then is weak-star closed if and only if is weak-star closed.
Facts & Assumptions
Given: The ultrafilter lemma, DC, HB, a real or complex Banach space , and a linear subspace .
Under the ultrafilter lemma, every closed dual ball is weak-star compact (Banach–Alaoglu).
Compact-Hausdorff Tychonoff is available under the ultrafilter lemma and is the product-compactness input in Banach–Alaoglu (Assuming the ultrafilter lemma, an arbitrary product of compact Hausdorff spaces is compact).
DC supplies an -indexed chain for an entire relation from a prescribed initial state (The axiom of dependent choice: a relation in which every element is related to something admits an -indexed chain).
HB extends a dominated real-linear functional from a real subspace to the whole real normed space (The real dominated-extension principle as an additional hypothesis over ZF).
Every continuous linear functional on real is pairing with a unique sequence, with equality of norms (The continuous dual of c0 is ell-one).
Every absolutely convergent series in a Banach space converges (Series criterion for Banach spaces).
Finite evaluation conditions form a weak-star neighborhood basis, and the weak-star vector operations are continuous (Basic weak star neighborhoods).
Proof
If is weak-star closed, then so is , because is an intersection of closed evaluation constraints.
For the reverse implication first suppose and is weak-star closed. If and in norm, boundedness of the convergent sequence gives with ; norm convergence implies weak-star convergence, so closedness of gives and . If some had , DC could select with , contradicting this sequential norm-closedness. Hence ; fix .
For finite sets , let mean: every with violates at least one earlier test, so for some and . The assertion is vacuous because .
Suppose holds. For finite , let consist of those with , all earlier tests at most , and the -test at most . Put . The set is weak-star compact: is compact by scaling [F1], is weak-star closed, and [F1] uses the ultrafilter lemma through [F2]. Each is weak-star closed in , because each norm bound is the intersection over of closed evaluation constraints. If every were nonempty, the identity would give the finite-intersection property; compactness would produce in every . Taking singleton for every would give , while all earlier tests hold, contradicting . Thus some finite listed has , and that emptiness is exactly .
Apply DC to the relation that extends a finite list satisfying by a finite listed supplied in step 3.1. Starting from the empty list, it yields finite listed sets for all with every true. Recording the finite listing as part of each state avoids a later countable choice of enumerations.
Concatenate, for , the finite list followed by one zero padding term, obtaining a sequence in . If a term lies in the th block its norm is at most ; because each block is finite and nonempty after padding, the block number tends to infinity with . Hence .
For every , choose an integer . Property gives and with ; the coordinate occurs in , so .
Define by . Step 5.1 makes every image a null sequence, and , so is bounded and linear. With , step 6.1 gives for every ; therefore the closed linear subspace has .
On define . This is well defined because , and shows . Applying HB to the sublinear function extends to with , , and . This is the sole HB use.
By [F5] there is with for and .
Since and is Banach, [F6] gives with .
Continuity of every allows evaluation term by term: . Thus and for every . The weak-star neighborhood therefore misses .
Every has the weak-star neighborhood constructed in step 11.1 disjoint from , so is weak-star closed in the real case. Together with step 1.1 this proves both directions there.
Now let be complex and write for its realification. The map , , is a real-linear isometric bijection with inverse : complex linearity follows from the displayed formula, and rotating a vector shows norm equality. It is a weak-star homeomorphism because and . For a complex-linear , is real-linear and . Hence closedness of the complex slice implies closedness of the real slice; step 12.1 makes real weak-star closed, and the homeomorphism makes complex weak-star closed.
Step 1.1 proves the forward implication over both scalar fields, step 12.1 proves the reverse implication over , and step 13.1 proves it over . Therefore the two weak-star closedness conditions are equivalent.
Extreme point and face
Definition
Let be a convex subset of a real or complex vector space, where convex combinations always use real coefficients as in Local convexity, convex and balanced sets, and the continuous dual. A point is an extreme point of if
implies . The set of extreme points is denoted .
A face of is a nonempty convex subset such that
implies . Thus is extreme exactly when the singleton is a face. Neither definition requires a topology. A face need not be exposed by a continuous linear functional; “face” below always means the intrinsic endpoint condition just stated.
For there are no extreme points and no faces. If , then is extreme and is its unique face. The strict restriction is essential: at or the displayed equality contains no information about the unused endpoint.
Minimizer face of a continuous affine functional
Statement
Let be a nonempty compact convex subset of a real or complex topological vector space, and let be continuous and affine for real convex combinations. Then attains its minimum , and
is a nonempty compact face of . Moreover, if is a face of , then is a face of .
Facts & Assumptions
Given: A nonempty compact convex set and a continuous real-valued affine map on .
A continuous real-valued function on a nonempty compact space attains its minimum (A continuous image of a compact space is compact; a continuous real-valued map on a nonempty compact space attains a maximum and a minimum; and a continuous bijection from a compact space to a Hausdorff space is a homeomorphism).
A closed subset of a compact space is compact (A closed subspace of a compact space is compact, and a finite union of compact subspaces is compact, claim 1).
A face is a nonempty convex subset satisfying the strict endpoint condition (Extreme point and face).
Proof
By [F1], some satisfies , so is nonempty. Since and is continuous, is closed in ; hence it is compact by [F2].
If and , affinity gives , so convexity of places the combination in ; thus is convex.
Suppose , , and . Minimality gives , while affinity gives ; the two positive coefficients force , so . Therefore is a face by [F3].
Let be a face of , and suppose , , and . Since and is a face of , step 2.2 gives ; the face condition for inside then gives . Since is already nonempty and convex, [F3] makes it a face of .
Steps 1.1–2.2 prove that the minimum is attained and its level set is a nonempty compact face; step 3.1 proves that faces of faces are faces.
Krein–Milman existence of extreme points
Statement
Assume the Axiom of Choice. Every nonempty compact convex subset of a locally convex Hausdorff real or complex topological vector space has an extreme point.
Facts & Assumptions
Given: AC, a locally convex Hausdorff real or complex TVS , and a nonempty compact convex subset .
A continuous real affine functional on a nonempty compact convex set has a nonempty compact minimizer face, and faces of faces are faces (Minimizer face of a continuous affine functional).
Assuming HB, the continuous dual of a Hausdorff locally convex space separates distinct points by their real parts (The continuous dual separates points in a Hausdorff locally convex space).
Compactness is equivalent to the nonempty-intersection property for closed families having the finite-intersection property (A space is compact exactly when every family of closed subsets with the finite intersection property has nonempty intersection).
Under AC, a nonempty poset in which every chain has an upper bound has a maximal element (Zorn's lemma).
AC says every family of nonempty sets has a choice function (The Axiom of Choice).
AC supplies the Hahn–Banach dominated extension theorem (Hahn-Banach dominated extension theorem for real vector spaces).
Proof
Let be the set of nonempty faces of that are closed in , ordered by when . It is a nonempty poset because .
Let be a chain in . If , then is an upper bound. Otherwise every finite subfamily of has intersection equal to its inclusion-smallest member and hence nonempty. Its members are closed in compact , so [F3] gives a nonempty intersection , and is closed and convex.
If , , and , then this combination lies in every ; since each is a face, lie in every and therefore in . Thus is a face, hence belongs to , and for every , so is an upper bound in the reverse-inclusion order.
By [F4], using AC as declared in [F5], has a maximal element ; equivalently, is an inclusion-minimal nonempty closed face of .
Suppose are distinct. AC supplies HB by [F6], so [F2] gives with . The restriction is continuous, real-valued, and affine.
By [F1], the minimizer set of is a nonempty compact face of , hence a face of . It is closed in and is closed in , so it is closed in and lies in . Since , at least one of is not a minimizer, so , contradicting the inclusion-minimality of .
Hence is a singleton, say . Since is a face of , the singleton characterization in the face definition makes an extreme point of .
The empty-chain case in step 2.1 and the nonempty-chain construction in steps 2.1–3.1 verify every chain hypothesis of Zorn; steps 4.1–7.1 then produce the required extreme point.
Krein–Milman closed-convex-hull form
Statement
Assume the Axiom of Choice. If is a compact convex subset of a locally convex Hausdorff real or complex topological vector space, then
The empty set is allowed, with .
Facts & Assumptions
Given: AC, a locally convex Hausdorff real or complex TVS , and a compact convex subset .
Under AC, every nonempty compact convex subset of has an extreme point (Krein–Milman existence of extreme points).
Assuming HB, a nonempty compact convex set and a disjoint nonempty closed convex set are strictly separated by the real part of a continuous linear functional (Uniform strict separation of compact and closed convex sets).
A continuous real affine functional has a compact minimizer face, and faces of faces are faces (Minimizer face of a continuous affine functional).
AC supplies Hahn–Banach dominated extension (Hahn-Banach dominated extension theorem for real vector spaces).
A compact subset of a Hausdorff space is closed (In a Hausdorff space a point and a disjoint compact set, and two disjoint compact sets, have disjoint open neighbourhoods; hence every compact subset is closed, and in a compact Hausdorff space the compact subsets are exactly the closed ones, claim 3).
The closure of a convex subset of a real or complex TVS is convex (Convex closures and hulls of finitely many compact convex sets).
Proof
If , then and both sides are empty by the stated convention. Hence suppose and put and . By [F1], and therefore are nonempty.
The set is closed by [F5] and convex by hypothesis, and it contains ; therefore it contains and its closure . The set is closed by definition and convex by [F6].
Suppose for contradiction that . Apply [F2] to the compact convex singleton and the nonempty closed convex set , using HB supplied from AC by [F4]. After naming , the resulting inequalities give .
By [F3], the minimizer set is a nonempty compact face of . By [F1], has an extreme point . Then is a face of , so face transitivity in [F3] makes a face of ; hence .
Since minimizes on and , one has ; step 3.1 gives , whereas gives , a contradiction. Thus no exists, so .
Step 2.1 gives and step 5.1 gives the reverse inclusion; together with the empty case in step 1.1 this proves the asserted equality in every case.
Upper semicontinuous real map on a topological space
Definition
Let be a topological space (Topology on a set, open and closed sets, clopen sets, the closed-set axiomatisation, and the coarser/finer comparison) and let . The map is upper semicontinuous if, for every , the strict sublevel set
is open in . Equivalently, every superlevel set is closed, because it is the complement of the strict sublevel set.
When has the subspace topology, this agrees with the existing pointwise definition: the equivalence with openness of all strict sublevels is exactly is upper semicontinuous on if and only if is relatively open in for every real , lower semicontinuous if and only if is, and continuous if and only if it is both, claim
- The empty-domain condition is vacuous, constant functions are upper semicontinuous, and the inequalities deliberately distinguish the open threshold from the closed threshold .
Bauer maximum principle
Statement
Assume the Axiom of Choice. Let be a nonempty compact convex subset of a locally convex Hausdorff real or complex topological vector space. Every upper-semicontinuous convex function attains its maximum at an extreme point of .
Facts & Assumptions
Given: AC, a locally convex Hausdorff real or complex TVS , a nonempty compact convex , and an upper-semicontinuous convex .
Upper semicontinuity means that each superlevel is closed (Upper semicontinuous real map on a topological space).
A singleton is a face exactly when its point is extreme (Extreme point and face).
Assuming HB, continuous dual functionals separate distinct points of a Hausdorff locally convex space by their real parts (The continuous dual separates points in a Hausdorff locally convex space).
In a compact space, every closed family with the finite-intersection property has nonempty intersection (A space is compact exactly when every family of closed subsets with the finite intersection property has nonempty intersection).
Under AC, every nonempty poset whose chains have upper bounds has a maximal element (Zorn's lemma).
AC says every family of nonempty sets has a choice function (The Axiom of Choice).
AC supplies Hahn–Banach dominated extension (Hahn-Banach dominated extension theorem for real vector spaces).
Proof
For each put , which is closed by [F1]. Any finite subfamily has nonempty intersection: choose from its finite list an index at which the finitely many real values are largest, and the corresponding belongs to every listed ; the empty finite intersection is . Thus [F4] supplies , so is the maximum of on .
The maximizer set is nonempty and closed by [F1]. Call a subset -extremal when , for and , implies .
The set is -extremal. Indeed, if with , convexity and maximality give ; positivity of both coefficients and force .
Let be the nonempty closed -extremal subsets of , ordered by reverse inclusion. It is nonempty because .
An empty chain has upper bound . For a nonempty chain , every finite intersection is its inclusion-smallest listed member and hence nonempty. Because every member is closed in compact , [F4] makes nonempty and closed. If a strict convex combination lies in , extremality in every puts both endpoints in every , so is -extremal. Thus and is an upper bound in the reverse-inclusion order.
By [F5], with AC declared in [F6], has a maximal element , equivalently an inclusion-minimal nonempty closed -extremal subset of .
Suppose are distinct. By [F7], AC supplies HB, so [F3] gives a continuous for which has .
Apply the finite-intersection argument of step 1.1 to the continuous real function : its superlevels in are closed in because is closed and is continuous, and the family indexed by has the finite-intersection property. Hence has a maximum on , and is nonempty and closed in . It is proper because .
The set is -extremal: if with and , extremality of first gives ; linearity yields while , so positivity forces and . Thus is a proper subset of , contradicting minimality.
Therefore for some . Since this singleton is -extremal, it satisfies the singleton face condition in [F2], so is extreme in ; and gives .
The preceding maximum and extremality argument constructs a nonempty closed extremal maximizer set, the Zorn argument produces a minimal one, and the separating-functional argument proves it is a singleton consisting of the required extreme maximizer.
Remarks
The maximizer set need not be convex: for on it is . The proof therefore does not apply Krein–Milman to that set; it uses closed -extremal subsets, exactly as the endpoint calculation above requires.
Milman converse for compact generating sets
Statement
Let be a compact convex subset of a locally convex Hausdorff real or complex topological vector space, and let . If
then . In particular, if is compact and generates in this sense, then .
Facts & Assumptions
Given: A locally convex Hausdorff real or complex TVS , a compact convex , and with .
Extreme points are characterized by strict two-endpoint convex representations (Extreme point and face).
Every zero-neighborhood in a locally convex TVS contains an open convex zero-neighborhood (Local convexity, convex and balanced sets, and the continuous dual).
Compact subsets of Hausdorff spaces are closed (In a Hausdorff space a point and a disjoint compact set, and two disjoint compact sets, have disjoint open neighbourhoods; hence every compact subset is closed, and in a compact Hausdorff space the compact subsets are exactly the closed ones, claim 3).
Closed subsets of compact spaces are compact (A closed subspace of a compact space is compact, and a finite union of compact subspaces is compact, claim 1).
The convex hull of finitely many nonempty compact convex sets is compact, is closed in a Hausdorff TVS, and has the displayed one-point-from-each-set representation (Convex closures and hulls of finitely many compact convex sets).
If is a natural number and is a function with domain whose values are nonempty, then the family has a choice function in ZF. Repetitions among the listed values are allowed (Every natural-number-indexed list of nonempty sets has a choice function on its family of values).
Proof
The conclusion is immediate if . Otherwise , because the closed convex hull of the empty set is empty. Put . Since is closed by [F3] and contains , one has ; hence is closed in compact and compact by [F4].
Assume for contradiction that . The open set contains , so translation gives a zero-neighborhood with . Continuity of subtraction at gives a zero-neighborhood with , and [F2] gives an open convex zero-neighborhood . Thus .
The family is an open cover of the nonempty compact set . Compactness supplies a listed subcover with . For put . Each is nonempty because belongs to the displayed cover. Apply [F6] to the function with domain ; if is the resulting choice function on its family of values, set . Then , , and hence . Put and . Each is nonempty because it contains .
Each is a nonempty compact convex subset of : the closed convex set contains , hence its closed convex hull, and is closed in compact , so [F4] applies. Moreover . Indeed by convexity; if lay in its closure, the open neighborhood of would meet , giving , contrary to and step 2.1.
Let . By [F5], is compact and therefore closed in the Hausdorff ambient space, and every point of is with , , and . Since , closedness and convexity of give ; conversely every and is convex, so . Hence .
Apply the representation in step 5.1 to : write with . If exactly one coefficient is positive, it equals one and gives , contradicting step 4.1. Otherwise, for each with one has and may write , where .
Since is extreme, [F1] applied to the strict representation in step 6.1 gives for every positive coefficient . At least one coefficient is positive, so for some , again contradicting step 4.1. Therefore no such exists and .
If is compact, then it is closed by [F3], so and step 7.1 gives . This proves both assertions, including the empty case from step 1.1.
Dual unit ball has extreme points
Statement
Assume the Axiom of Choice. The closed unit ball of the dual of every nonzero real or complex normed space has an extreme point.
Facts & Assumptions
Given: AC and a nonzero real or complex normed space .
Under the ultrafilter lemma the closed dual unit ball is weak-star compact (Banach–Alaoglu).
Under AC every nonempty compact convex subset of a locally convex Hausdorff real or complex TVS has an extreme point (Krein–Milman existence of extreme points).
The weak-star topology on is Hausdorff and locally convex without any choice assumption (Basic weak star neighborhoods).
AC is the declared ambient choice principle (The Axiom of Choice).
AC implies the ultrafilter lemma (The ultrafilter lemma, from the Axiom of Choice: every filter extends to an ultrafilter).
AC supplies the Hahn–Banach theorem used inside locally convex separation in the selected Krein–Milman proof (Hahn-Banach dominated extension theorem for real vector spaces).
Proof
By [F5], the assumed AC supplies the ultrafilter lemma. Therefore [F1] makes compact for the weak-star topology.
By [F3], with the weak-star topology is a locally convex Hausdorff real or complex TVS. The set is nonempty because it contains the zero functional, and it is convex by the triangle inequality and homogeneity of the dual norm.
Apply [F2] to the nonempty weak-star compact convex set . Its proof uses Zorn under AC and separation under HB; [F6] records that the same AC hypothesis supplies that HB input. Hence has an extreme point.
This proves the stated nonzero case. In fact the same argument includes , whose dual ball is the singleton and whose unique point is extreme.
5 · Examples, counterexamples and false statements
None yet.