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Banach Alaoglu Goldstine and Krein Milman — Examples

1 · Prerequisites

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

ExampleConstruction: AI-adaptedVerification: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-14Open item page →

Weak-star compactness of probability measures

Statement

Assume the ultrafilter lemma. If K is compact Hausdorff, the regular Borel probability measures on K form a compact space for convergence against continuous real- or complex-valued functions, using the corresponding real or complex dual of C(K).

Facts & Assumptions

Given: The ultrafilter lemma and a compact Hausdorff space K.

[F1]

Under the ultrafilter lemma, the closed dual unit ball is weak-star compact (Banach–Alaoglu).

[F2]

Every bounded positive functional on real C0(K) has a unique finite regular representing measure whose mass is its norm (Positive C_0(X) functionals have finite regular representing measures).

[F3]

Bounded complex functionals on C0(K) 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).

[F4]

Regular Borel measures are inner regular on every Borel set (Regular Borel measure on an LCH space).

[F6]

The spaces Cc and C0 are defined by compact support and compact superlevel sets (Compact support, Cc(X), and C0(X)).

Proof

technique · identify probabilities with a weak-star closed slice
1.1

If K=, no measure can have total mass one, so the probability space is empty and compact. Hence assume K. By [F5], compactness makes K locally compact, and it is Hausdorff by hypothesis. Every continuous function on compact K has compact support and compact closed superlevel sets, so [F6] gives Cc(K)=C0(K)=C(K).

F5F6given
2.1

A regular Borel probability μ defines Lμ(g)=Kgdμ. For real or complex g, Lμ(g)gμ(K)=g, while Lμ(1)=1; hence LμBC(K) and Lμ=1. It is positive on nonnegative real-valued g.

F3step 1.1
2.2

Conversely, let LBC(K) satisfy L(1)=1 and L(g)[0,) for every nonnegative real-valued gC(K). In the real case [F2] represents L by a finite regular measure μ in the sense of [F4], and μ(K)=L(1)=1. In the complex case restrict L to real-valued functions, apply [F2], and use complex linearity to recover L(g+ih)=gdμ+ihdμ; uniqueness in [F3] identifies this same positive probability measure.

F2F3F4step 1.1
3.1

Thus probabilities correspond exactly to the slice S of BC(K) cut out by L(1)=1 and by L(g)[0,) for all nonnegative real-valued g. Each condition is weak-star closed because it is the inverse image of the closed set {1} or [0,) under one evaluation; arbitrary intersections remain closed.

step 2.1step 2.2
4.1

By [F1], the dual ball is weak-star compact under the ultrafilter lemma. Hence its closed subset S is compact by [F7]. Under the two representation directions above, the weak-star topology is exactly convergence of gdμ for every continuous test function g, so the probability measures are compact in the asserted topology.

F1F7step 2.1step 2.2step 3.1
5.1

The initial reduction proves the empty case, and the closed-slice construction proves both scalar-field cases for nonempty compact Hausdorff K.

step 1.1step 4.1
ExampleConstruction: AI-adaptedVerification: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-14Open item page →

Extreme points of the probability measures are Dirac masses

Statement

For a compact Hausdorff space K, the extreme points of the convex set of regular Borel probability measures on K are exactly the Dirac measures δx with xK.

Facts & Assumptions

Given: A compact Hausdorff space K and its convex set P(K) of regular Borel probability measures.

[F1]

Extreme points are exactly points whose strict two-term convex decompositions are trivial (Extreme point and face).

[F2]

Every Dirac set function is a probability measure (A Dirac set function is a probability measure).

[F3]

Restricting a measure to a measurable set produces a measure (The restriction of a measure to a measurable set is a measure).

[F4]

A regular Borel measure is inner regular on every Borel set (Regular Borel measure on an LCH space).

[F5]

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).

Proof

technique · direct characterization by measurable restrictions
1.1

If K=, then P(K)= and there are no Dirac measures, so the equality is empty on both sides. Hence assume K. By [F7], compactness makes K locally compact, and it is Hausdorff by hypothesis, so the LCH regularity convention [F4] applies.

F4F7given
1.2

Let μP(K) and let A be Borel. The restriction μA(E)=μ(EA) is a measure by [F3]. It is regular: for Borel E, inner regularity of μ on EA gives μA(E)=sup{μ(D):DEA, D compact}; every such D is also a compact subset of E with μA(D)=μ(D), while every compact CE satisfies μA(C)μA(E). Thus the required supremum over compact CE equals μA(E).

F3F4given
1.3

Suppose that μ(E){0,1} for every Borel E. Let C be all closed CK with μ(C)=1. It contains K. A finite intersection of its members has measure one because the complement is a finite union of null sets, so C has the finite-intersection property. By [F5], choose xC.

F5given
1.4

Conversely, fix any xK. By [F2], δx is a probability measure. The Hausdorff hypothesis makes the compact singleton {x} closed and hence Borel. Thus δx is regular: for a Borel set containing x, that singleton realizes mass one, while a set not containing x has mass zero. If δx=tμ+(1t)ν with μ,νP(K) and 0<t<1, evaluation on K{x} gives 0=tμ(K{x})+(1t)ν(K{x}), so nonnegativity gives both masses zero. Thus μ({x})=ν({x})=1 and μ=ν=δx; [F1] makes δx extreme.

F1F2given
2.1

If 0<t:=μ(A)<1, define μ1=t1μA and μ2=(1t)1μKA. Step 1.2 makes both regular probabilities, and μ=tμ1+(1t)μ2. They are distinct because μ1(A)=1 and μ2(A)=0, so [F1] shows that μ is not extreme.

F1step 1.2
2.2

Every open neighborhood U of the point x from step 1.3 has measure one. Otherwise the zero-one hypothesis gives μ(U)=0, so the closed complement KU has measure one and belongs to C, contradicting xUC.

step 1.3
3.1

If DK{x} is compact, [F6] gives disjoint open sets U,V with xU and DV. Step 2.2 gives μ(U)=1, hence μ(V)=0 and μ(D)=0. Inner regularity [F4] on the Borel set K{x} now gives μ(K{x})=0, so μ=δx.

F4F6step 2.2
4.1

Let μ be extreme. Step 2.1 rules out every Borel set of intermediate mass, so μ is zero-one valued; steps 1.3, 2.2, and 3.1 then give μ=δx for some xK. Step 1.4 proves the reverse implication, and step 1.1 covers the empty space.

step 1.1step 1.3step 1.4step 2.1step 2.2step 3.1
ExampleConstruction: AI-adaptedVerification: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-14Open item page →

Extreme points of the ell-infinity unit ball

Statement

Over R or C, the extreme points of the closed unit ball of are exactly the sequences x=(xn) satisfying xn=1 for every n.

Facts & Assumptions

Given: The real or complex Banach space and its closed unit ball.

[F1]

Extreme points are characterized by strict convex representations (Extreme point and face).

[F2]

The norm on is x=supnxn (The sequence spaces c_0 and ell-infinity).

Proof

technique · direct coordinate calculation
1.1

Suppose x lies in the closed unit ball and xN<1 for some N. Over R, choose 0<ε1xN and put uN=1; over C, put uN=1 if xN=0 and uN=ixN/xN otherwise, and choose 0<ε1xN2. With e supported at N and equal there to uN, both x+εe and xεe have sup norm at most one, are distinct, and have midpoint x. Thus x is not extreme by [F1].

F1F2given
1.2

Conversely suppose xn=1 for all n and x=(1t)y+tz with y,z in the unit ball and 0<t<1. For each n, the scalar identity (1t)yn+tzn2=(1t)yn2+tzn2t(1t)ynzn2 gives 11t(1t)ynzn2 by [F2]. Hence yn=zn, and their convex combination equals xn, so yn=zn=xn for every n.

F2given
2.1

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.

F1step 1.1step 1.2
CounterexampleConstruction: AI-adaptedVerification: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-14Open item page →

The c0 unit ball has no extreme points

Statement

Over either R or C, the closed unit ball of c0 has no extreme points.

Facts & Assumptions

Given: The real or complex space c0 and an arbitrary x in its closed unit ball.

[F1]

A point is extreme only if every strict two-term convex representation is trivial (Extreme point and face).

[F2]

The elements of c0 are bounded scalar sequences tending to zero, with the supremum norm (The sequence spaces c_0 and ell-infinity).

Proof

technique · direct finite-coordinate perturbation
1.1

Since xn0, there is an index N with xN<1; take the least such index if a canonical witness is desired. Put ε=(1xN)/2>0 and let eN be the sequence equal to one at N and zero elsewhere.

F2given
2.1

The sequences y=x+εeN and z=xεeN still tend to zero and satisfy yN,zNxN+ε<1, while every other coordinate is unchanged. Hence y,zBc0 by [F2]; they are distinct and x=(y+z)/2.

F2step 1.1
3.1

By [F1], the nontrivial midpoint representation in step 2.1 shows that the arbitrary xBc0 is not extreme. Therefore the ball has no extreme points over either scalar field.

F1step 2.1
CorollaryStatement: AI-adaptedProof: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-14Open item page →

c0 is not isometrically a dual space

Statement

Assume the Axiom of Choice. Over R or C, c0 is not linearly isometric onto the dual of any normed space.

Facts & Assumptions

Given: AC and the real or complex space c0.

[F1]

The closed unit ball of c0 has no extreme points (The c0 unit ball has no extreme points).

[F2]

Under AC, the closed dual unit ball of every nonzero normed space has an extreme point (Dual unit ball has extreme points).

Proof

technique · contradiction
1.1

Assume for contradiction that T:c0Y is a surjective linear isometry. The space Y cannot be zero, because then Y={0} whereas c0 contains a nonzero coordinate vector.

givenassume-contra
2.1

The isometry maps Bc0 bijectively onto BY. It preserves extreme points in both directions: applying T or T1 to a strict convex representation preserves its coefficient and turns trivial endpoint equality into trivial endpoint equality.

givenstep 1.1
3.1

By [F2], BY has an extreme point, whose inverse image under T is extreme in Bc0 by step 2.1. This contradicts [F1], so the assumed surjective linear isometry does not exist.

F1F2step 1.1step 2.1discharge-contradiction
CounterexampleConstruction: AI-adaptedVerification: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-14Open item page →

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 .

[F1]

Under the ultrafilter lemma every closed dual unit ball is weak-star compact (Banach–Alaoglu).

[F2]

Weak-star convergence of a sequence means convergence of its evaluations at every predual vector (Weak star convergence).

[F3]

The elements of are bounded scalar sequences with the supremum norm (The sequence spaces c_0 and ell-infinity).

Proof

technique · direct subsequence obstruction
1.1

For each nN define Λn() by Λn(x)=xn. Then Λn(x)x and equality holds at the nth coordinate vector, so Λn=1.

F3given
2.1

Consider any subsequence (Λnk), with the indices nk strictly increasing. Define x by xnk=(1)k and xj=0 off the range of (nk). This is well defined because the indices are distinct and has x=1 by [F3].

F3step 1.1
3.1

Its evaluations are Λnk(x)=(1)k, which do not converge in R or C. By [F2], the chosen subsequence is not weak-star convergent. Since the subsequence was arbitrary, (Λn) has no weak-star convergent subsequence.

F2step 2.1
4.1

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.

F1step 1.1step 3.1
RemarkRemark: AI-adaptedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-14Open item page →

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.

Sources