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Banach Alaoglu Goldstine and Krein Milman — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Banach Alaoglu Goldstine and Krein Milman
- 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
- Convergence: Nets and Filters
- 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
- Hausdorff via the Diagonal
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- 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
- Measurable Functions and Simple Approximation
- Measures and Their Basic Properties
- Metric Spaces
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Normed and Banach Spaces
- Norming and Separation under Hahn–Banach
- Order, Zorn's Lemma, and the Axiom of Choice
- Outer Measure and the Caratheodory Extension Theorem
- Partitions of Unity and Paracompactness
- Polynomial Rings, the Division Algorithm and Roots
- Radon Measures and the Riesz Markov Kakutani Theorem
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Separation Axioms: the Hierarchy
- Sequences and Limits
- Series: Convergence and the Nonnegative Tests
- Sigma Algebras and Borel Sets
- Signed and Complex Measures Hahn and Jordan
- Simple Field Extensions and the Construction of the Complex Numbers
- Subspaces, Products, and Quotients
- Suprema and Infima
- The Analytic Hahn Banach Theorem
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- The Complex Exponential and Euler's Formula
- The Lebesgue Integral and the Convergence Theorems
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Urysohn's Lemma and the Tietze Extension Theorem
- Vector Spaces, Linear Subspaces, Span and Direct Sums
- Weak and Weak Star Topologies
2 · Summary
The applications make every abstract compactness and extremality claim concrete. Regular Borel probabilities are a weak-star closed positive normalized slice of a dual ball, and their extreme points are exactly the Dirac masses. Coordinate calculations characterize the extreme boundary of the ell-infinity ball and show that the c0 ball has no extreme points, ruling out an isometric dual representation of c0 under AC.
The last counterexample places the distinction between compactness and sequential compactness in the dual of ell-infinity: coordinate evaluations lie in a weak-star compact ball, yet every subsequence is defeated by one explicit alternating bounded vector. The closing comparison keeps the ultrafilter- lemma, separability, metric and full-AC proof costs separate.
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
Weak-star compactness of probability measures
Statement
Assume the ultrafilter lemma. If is compact Hausdorff, the regular Borel probability measures on form a compact space for convergence against continuous real- or complex-valued functions, using the corresponding real or complex dual of .
Facts & Assumptions
Given: The ultrafilter lemma and a compact Hausdorff space .
Under the ultrafilter lemma, the closed dual unit ball is weak-star compact (Banach–Alaoglu).
Every bounded positive functional on real has a unique finite regular representing measure whose mass is its norm (Positive C_0(X) functionals have finite regular representing measures).
Bounded complex functionals on are uniquely the integrals against finite regular complex Borel measures, with norm equal to total variation (The bounded complex dual of C_0(X) is regular complex measures).
Regular Borel measures are inner regular on every Borel set (Regular Borel measure on an LCH space).
Every compact space is locally compact (Locally compact topological space: every point has a compact neighbourhood; and what this says in a metric space).
The spaces and are defined by compact support and compact superlevel sets (Compact support, , and ).
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).
Proof
If , no measure can have total mass one, so the probability space is empty and compact. Hence assume . By [F5], compactness makes locally compact, and it is Hausdorff by hypothesis. Every continuous function on compact has compact support and compact closed superlevel sets, so [F6] gives .
A regular Borel probability defines . For real or complex , , while ; hence and . It is positive on nonnegative real-valued .
Conversely, let satisfy and for every nonnegative real-valued . In the real case [F2] represents by a finite regular measure in the sense of [F4], and . In the complex case restrict to real-valued functions, apply [F2], and use complex linearity to recover ; uniqueness in [F3] identifies this same positive probability measure.
Thus probabilities correspond exactly to the slice of cut out by and by for all nonnegative real-valued . Each condition is weak-star closed because it is the inverse image of the closed set or under one evaluation; arbitrary intersections remain closed.
By [F1], the dual ball is weak-star compact under the ultrafilter lemma. Hence its closed subset is compact by [F7]. Under the two representation directions above, the weak-star topology is exactly convergence of for every continuous test function , so the probability measures are compact in the asserted topology.
The initial reduction proves the empty case, and the closed-slice construction proves both scalar-field cases for nonempty compact Hausdorff .
Extreme points of the probability measures are Dirac masses
Statement
For a compact Hausdorff space , the extreme points of the convex set of regular Borel probability measures on are exactly the Dirac measures with .
Facts & Assumptions
Given: A compact Hausdorff space and its convex set of regular Borel probability measures.
Extreme points are exactly points whose strict two-term convex decompositions are trivial (Extreme point and face).
Every Dirac set function is a probability measure (A Dirac set function is a probability measure).
Restricting a measure to a measurable set produces a measure (The restriction of a measure to a measurable set is a measure).
A regular Borel measure is inner regular on every Borel set (Regular Borel measure on an LCH space).
A closed family with the finite-intersection property has nonempty intersection in a compact space (A space is compact exactly when every family of closed subsets with the finite intersection property has nonempty intersection).
In a Hausdorff space, a point and a disjoint compact set have disjoint open neighborhoods (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 1).
Every compact space is locally compact (Locally compact topological space: every point has a compact neighbourhood; and what this says in a metric space).
Proof
If , then and there are no Dirac measures, so the equality is empty on both sides. Hence assume . By [F7], compactness makes locally compact, and it is Hausdorff by hypothesis, so the LCH regularity convention [F4] applies.
Let and let be Borel. The restriction is a measure by [F3]. It is regular: for Borel , inner regularity of on gives ; every such is also a compact subset of with , while every compact satisfies . Thus the required supremum over compact equals .
Suppose that for every Borel . Let be all closed with . It contains . A finite intersection of its members has measure one because the complement is a finite union of null sets, so has the finite-intersection property. By [F5], choose .
Conversely, fix any . By [F2], is a probability measure. The Hausdorff hypothesis makes the compact singleton closed and hence Borel. Thus is regular: for a Borel set containing , that singleton realizes mass one, while a set not containing has mass zero. If with and , evaluation on gives , so nonnegativity gives both masses zero. Thus and ; [F1] makes extreme.
If , define and . Step 1.2 makes both regular probabilities, and . They are distinct because and , so [F1] shows that is not extreme.
Every open neighborhood of the point from step 1.3 has measure one. Otherwise the zero-one hypothesis gives , so the closed complement has measure one and belongs to , contradicting .
If is compact, [F6] gives disjoint open sets with and . Step 2.2 gives , hence and . Inner regularity [F4] on the Borel set now gives , so .
Let be extreme. Step 2.1 rules out every Borel set of intermediate mass, so is zero-one valued; steps 1.3, 2.2, and 3.1 then give for some . Step 1.4 proves the reverse implication, and step 1.1 covers the empty space.
Extreme points of the ell-infinity unit ball
Statement
Over or , the extreme points of the closed unit ball of are exactly the sequences satisfying for every .
Facts & Assumptions
Given: The real or complex Banach space and its closed unit ball.
Extreme points are characterized by strict convex representations (Extreme point and face).
The norm on is (The sequence spaces c_0 and ell-infinity).
Proof
Suppose lies in the closed unit ball and for some . Over , choose and put ; over , put if and otherwise, and choose . With supported at and equal there to , both and have sup norm at most one, are distinct, and have midpoint . Thus is not extreme by [F1].
Conversely suppose for all and with in the unit ball and . For each , the scalar identity gives by [F2]. Hence , and their convex combination equals , so for every .
Step 1.1 excludes exactly the sequences with an interior coordinate, while step 1.2 and [F1] prove every sequence with all coordinates on the scalar unit circle is extreme.
The c0 unit ball has no extreme points
Statement
Over either or , the closed unit ball of has no extreme points.
Facts & Assumptions
Given: The real or complex space and an arbitrary in its closed unit ball.
A point is extreme only if every strict two-term convex representation is trivial (Extreme point and face).
The elements of are bounded scalar sequences tending to zero, with the supremum norm (The sequence spaces c_0 and ell-infinity).
Proof
Since , there is an index with ; take the least such index if a canonical witness is desired. Put and let be the sequence equal to one at and zero elsewhere.
The sequences and still tend to zero and satisfy , while every other coordinate is unchanged. Hence by [F2]; they are distinct and .
By [F1], the nontrivial midpoint representation in step 2.1 shows that the arbitrary is not extreme. Therefore the ball has no extreme points over either scalar field.
c0 is not isometrically a dual space
Statement
Assume the Axiom of Choice. Over or , is not linearly isometric onto the dual of any normed space.
Facts & Assumptions
Given: AC and the real or complex space .
The closed unit ball of has no extreme points (The c0 unit ball has no extreme points).
Under AC, the closed dual unit ball of every nonzero normed space has an extreme point (Dual unit ball has extreme points).
Proof
Assume for contradiction that is a surjective linear isometry. The space cannot be zero, because then whereas contains a nonzero coordinate vector.
The isometry maps bijectively onto . It preserves extreme points in both directions: applying or to a strict convex representation preserves its coefficient and turns trivial endpoint equality into trivial endpoint equality.
By [F2], has an extreme point, whose inverse image under is extreme in by step 2.1. This contradicts [F1], so the assumed surjective linear isometry does not exist.
Weak-star compact does not imply weak-star sequentially compact
Statement
Assume the ultrafilter lemma. The weak-star compact closed unit ball of need not be weak-star sequentially compact.
Facts & Assumptions
Given: The ultrafilter lemma and the real or complex Banach space .
Under the ultrafilter lemma every closed dual unit ball is weak-star compact (Banach–Alaoglu).
Weak-star convergence of a sequence means convergence of its evaluations at every predual vector (Weak star convergence).
The elements of are bounded scalar sequences with the supremum norm (The sequence spaces c_0 and ell-infinity).
Proof
For each define by . Then and equality holds at the th coordinate vector, so .
Consider any subsequence , with the indices strictly increasing. Define by and off the range of . This is well defined because the indices are distinct and has by [F3].
Its evaluations are , which do not converge in or . By [F2], the chosen subsequence is not weak-star convergent. Since the subsequence was arbitrary, has no weak-star convergent subsequence.
Nevertheless [F1] makes the closed unit ball containing this sequence weak-star compact under the ultrafilter lemma. It is therefore a compact space with a sequence having no convergent subsequence, as claimed.
Banach–Alaoglu versus sequential Alaoglu
Remark
Three conclusions on dual balls have deliberately different hypotheses and proof costs.
- Banach–Alaoglu assumes the ultrafilter lemma and gives weak-star compactness for the dual ball of every normed space. It does not turn an arbitrary net into a sequence.
- When the predual is separable, A separable predual has weak-star sequentially compact dual ball combines the same compactness assumption with an explicit metric on the bounded ball; the compact-metric implication used there is choice-free.
- Dual unit ball has extreme points is stated under full AC because the implemented Krein–Milman branch uses Zorn and AC-backed Hahn–Banach in addition to the ultrafilter lemma needed for Alaoglu.
The companion counterexample shows that the first bullet cannot in general be strengthened to sequential compactness. No converse choice-theoretic claim is made here. In particular, the historical assertion that an appropriate Krein–Milman principle together with the ultrafilter lemma yields AC remains an unresolved source obligation in this run and is not recorded, cited, or used as a theorem. These distinctions also apply at the endpoints: the zero predual has a singleton dual ball satisfying all three conclusions trivially, while nonseparable preduals are where compactness and sequential compactness can separate.