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Radon Measures and the Riesz Markov Kakutani Theorem

1 · Prerequisites

2 · Summary

This page distinguishes Radon (open-set inner regular) from all-Borel regularity, constructs the positive Cc representation, and then gives the bounded complex C0 form. The ordinal and wedge warnings keep the regularity and uniqueness qualifiers visible. Every proof-bearing entry now states its quantified claim and supplies the compact-approximation, integral, or counterexample argument it uses; the page does not rely on authoring prompts as mathematical content.

3 · Logical flowchart

4 · Definitions, theorems and proofs

DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

Compact support, Cc(X), and C0(X)

Definition

Let X be locally compact Hausdorff and let f:XF be continuous, where F is R or C. Its support is suppf:={x:f(x)0}. Put Cc(X;F)={fC(X;F):suppf is compact}. Also C0(X;F) consists of those f for which, for every ϵ>0, {x:f(x)ϵ} is compact. We write Cc(X) for the real space until the bounded complex C0 theorem is invoked; C0(X) later means the complex space when its scalar field matters.

DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

The compactly supported cutoff relation fU

Definition

For an open UX, write fU when fCc(X), 0f1, and suppfU. This is an admissibility condition, not the pointwise relation f1U.

DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

Positive linear functionals on Cc(X)

Definition

A real-linear map Λ:Cc(X;R)R is positive if f0 pointwise implies Λ(f)0. This is a real Cc notion; no global uniform-norm bound is part of the definition. The bounded complex C0(X) result is stated separately below.

DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

Radon measure on an LCH space

Definition

For this page, a Borel measure μ on a locally compact Hausdorff space is Radon when μ(K)< for every compact K, and, for every Borel E and every open U, μ(E)=infEV openμ(V),μ(U)=supKU compactμ(K). Cohn calls this convention regular. It does not assert compact inner approximation for arbitrary Borel E.

DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

Regular Borel measure on an LCH space

Definition

A regular Borel measure here is a Radon measure μ for which every Borel E satisfies μ(E)=supKE, K compactμ(K), with equality allowed at +. Thus regularity strengthens the preceding open-set formula; it is not being used as a synonym for Radon.

DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

Regular complex Borel measures

Definition

Let X be a locally compact Hausdorff space. A complex Borel measure μ on X is regular if its total variation μ is a regular Borel measure in the preceding, all-Borel sense. This total-variation convention is the one that controls fdμ and the norm in the C0 representation theorem.

LemmaStatement: Literature-sourcedProof: AI-generatedjudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

A positive linear functional on Cc(X) is monotone

Statement

If f,gCc(X) and fg, then Λ(f)Λ(g).

Facts & Assumptions

Given: A positive real-linear Λ:Cc(X)R and fg.

Proof

technique · direct
1.1

Since supports of f and g are compact, gfCc(X); moreover gf0.

given
2.1

Positivity gives 0Λ(gf)=Λ(g)Λ(f), which is the claim.

step 1.1algebra
LemmaStatement: Literature-sourcedProof: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

LCH Urysohn cutoff

Statement

Assuming Dependent Choice as in Urysohn's lemma, under the axiom of dependent choice: in a normal space two disjoint closed sets are separated by a continuous function into [0,1], and conversely such a space is normal, if KU with K compact and U open in an LCH space X, then some fCc(X) satisfies 1Kf1U.

Facts & Assumptions

Given: KU, with K compact and U open.

[L1]

Every compact set in an LCH space has an open neighbourhood V with KVVU and compact V. (In a locally compact Hausdorff space every open set containing a point contains an open set containing it whose closure is compact and still inside; such a space is regular)

[L2]

Proof

technique · direct
1.1

Choose V as in [L1]. The compact Hausdorff space V is normal; apply [L2] there to K and VV, obtaining h=1 on K and h=0 on VV.

L1L2choose
2.1

Extend h by 0 off V. Continuity of h on V and its vanishing on the boundary VV make the extension continuous; it is supported in VU, is 1 on K, and belongs to Cc(X).

step 1.1construct
LemmaStatement: Literature-sourcedProof: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

A finite compactly supported partition of unity near a compact set

Statement

Assume the Axiom of Dependent Choice. Let X be locally compact Hausdorff, let KX be compact, and let U1,,Un be open sets covering K. Then there are nonnegative φiCc(X) with suppφiUi such that iφi=1 on an open neighbourhood of K.

Facts & Assumptions

Given: Dependent Choice, and Ki=1nUi, with K compact and each Ui open.

[L1]

Under Dependent Choice, LCH cutoffs exist between a compact set and an open neighbourhood. (LCH Urysohn cutoff)

Proof

technique · direct
1.1

Consider all triples (V,W,i) with V,W open, 1in, [given, L1] and VWWUi, where the displayed closures are compact. Local compactness and the Hausdorff property show that the sets V occurring in these triples cover K. Compactness therefore gives finitely many triples (Vj,Wj,ij) whose Vj cover K. Apply [L1] to VjWj to obtain hjCc(X) with 0hj1, hj=1 on Vj, and hj=0 off Wj. Consequently supphjWjUij.

L1
2.1

Put h=jhj. Then h1 on K, so {h>1/2} is an [step 1.1, L1, choose] open neighbourhood of K. Choose open sets O,W with KOOWW{h>1/2}, where the displayed closures are compact. Apply [L1] to OW to obtain gCc(X) with 0g1, g=1 on O, and g=0 off W. Thus suppgW{h>1/2}, and g=1 on the open neighbourhood O of K.

step 1.1L1
3.1

For 1in, set φi(x)={g(x)j:ij=ihj(x)h(x),h(x)>0,0,h(x)=0. The quotient is only used on suppg{h>1/2}, so extension by zero is continuous. Each φi is nonnegative, compactly supported in Ui, and iφi=g, hence the sum is 1 on O.

step 1.1step 2.1
LemmaStatement: Literature-sourcedProof: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

The RMK functional outer content is well defined

Statement

Assume the Axiom of Dependent Choice. Let X be LCH and let Λ:Cc(X;R)R be positive. For open U define ρ(U)=sup{Λ(f):fCc(X), 0f1U}=sup{Λ(f):fU}, with sup=0, and for arbitrary EX define μ(E)=inf{ρ(U):EU, U open}. These are well-defined elements of [0,]; ρ is monotone, ρ()=0, and μ(U)=ρ(U) for every open U.

Facts & Assumptions

Given: Dependent Choice, X is LCH, and Λ is a positive linear functional on Cc(X).

[L1]

A positive functional on Cc(X) is monotone. (A positive linear functional on Cc(X) is monotone)

[L2]

Under Dependent Choice, LCH cutoffs exist between a compact set and an open neighbourhood. (LCH Urysohn cutoff)

Proof

technique · direct
1.1

Every pointwise-admissible f is nonnegative, so Λ(f)0. The [given, L1] zero function is admissible for every open set, including the empty set; for U= it is the only admissible function. Thus ρ(U)[0,] and ρ()=0.

givenL1
1.2

The cutoff supremum is at most the pointwise supremum. Conversely, let [L1, L2] 0f1U have compact support K, and choose hCc(X) with 0h1 and h=1 on K by applying [L2] to KX. For t>0 put ft=(fth)+. Then ftU: its support lies in the compact set {ft}U. Moreover 0fftth, so positivity gives Λ(f)Λ(ft)+tΛ(h). Letting t0 proves that the two displayed suprema defining ρ(U) are equal.

L1L2
2.1

If UV, every test function admissible for U is admissible for V, hence ρ(U)ρ(V). The family of open supersets of any E is nonempty because it contains X, so μ(E) is well defined in [0,].

step 1.1
3.1

For open U, using U itself in the infimum gives [step 2.1] μ(U)ρ(U). Conversely, if UV with V open, monotonicity gives ρ(U)ρ(V); taking the infimum over such V gives the reverse inequality. This also covers U= and ρ(U)=.

step 2.1
TheoremStatement: Literature-sourcedProof: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

The RMK functional outer content is an outer measure

Statement

With ρ and μ as in The RMK functional outer content is well defined, μ is an outer measure on X.

Facts & Assumptions

Given: The functional construction of ρ and μ.

[L1]

Compact sets admit finite compactly supported partitions subordinate to finite open covers. (A finite compactly supported partition of unity near a compact set)

Proof

technique · direct
1.1

The definition gives μ()=0 and monotonicity: an open superset of F is also one of E when EF.

given
1.2

Let EnEn and choose open UnEn. If U=nUn and 0f1U has compact support K, finitely many Unj cover K. By [L1] there are φjCc(X) subordinate to those sets with sum 1 near K. Then f=jfφj, each summand is admissible for Unj, and positivity and linearity give Λ(f)jρ(Unj)nρ(Un). Taking the supremum over f yields ρ(U)nρ(Un).

L1
2.1

If nμ(En)=, countable subadditivity is automatic. Otherwise, for ε>0 choose UnEn with ρ(Un)μ(En)+ε2n1. Step 1.2 and EU give μ(E)ρ(U)nμ(En)+ε. Letting ε0 proves countable subadditivity.

step 1.2
TheoremStatement: Literature-sourcedProof: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

Open sets are Caratheodory measurable for the RMK outer measure

Statement

Every open subset of X is Caratheodory measurable for the RMK outer measure μ. Consequently the Caratheodory measurable sets form a complete sigma-algebra containing the Borel sigma-algebra, and the restriction μ=μB(X) is a Borel measure.

Facts & Assumptions

Given: The RMK outer measure μ.

[L1]

The Caratheodory theorem turns the measurable sets of an outer measure into a complete measure space. (Carathéodory's theorem: measurable sets form a sigma-algebra carrying a complete measure)

Proof

technique · direct
1.1

Fix open G,V and fVG. Put [given] K=suppf. For any gVK, the supports of f and g are disjoint, so f+gV. Hence ρ(V)Λ(f)+ρ(VK). Since VGVK, ρ(VK)μ(VG). Taking the supremum over fVG therefore gives ρ(V)ρ(VG)+μ(VG)=μ(VG)+μ(VG).

given
2.1

For arbitrary E and open VE, monotonicity and step 1.1 [step 1.1] give ρ(V)μ(EG)+μ(EG). Infimizing over V gives the hard Caratheodory inequality; outer subadditivity gives the reverse inequality.

step 1.1
3.1

Therefore every open G is Caratheodory measurable. By [L1], the measurable sets form a complete sigma-algebra; since they contain all opens, they contain B(X), and the restriction is a Borel measure.

step 2.1L1
LemmaStatement: Literature-sourcedProof: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

Compact-set formula and local finiteness of the RMK measure

Statement

For every compact KX, μ(K)=inf{Λ(f):fCc(X), 1Kf}. In particular μ(K)<.

Facts & Assumptions

Given: The Borel measure μ constructed from Λ.

[L1]

LCH cutoffs exist between a compact set and an open neighbourhood. (LCH Urysohn cutoff)

Proof

technique · direct
1.1

Suppose 1KfCc(X). For 0<ε<1, the open set Uε={f>1ε} contains K. Every gUε satisfies gf/(1ε), so positivity gives ρ(Uε)Λ(f)/(1ε). Outer regularity therefore yields μ(K)Λ(f)/(1ε), and then μ(K)Λ(f).

given
1.2

Conversely, for every open UK, choose an open V with [L1, choose] KVVU and compact closure. [L1] applied to KV supplies fCc(X) with 1Kf1V. Since f=0 off V, suppfVU, and hence fU. Thus Λ(f)ρ(U). Taking first the infimum over f, then over U, gives the reverse inequality. For K=, f=0 gives both sides zero.

L1
2.1

Choosing one relatively compact open neighbourhood U of K and the [step 1.1, step 1.2, L1] cutoff produced in step 1.2 gives μ(K)Λ(f)<.

step 1.1step 1.2L1
TheoremStatement: Literature-sourcedProof: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

The RMK representing measure is inner regular on open sets

Statement

For every open UX, μ(U)=sup{μ(K):KU, K compact}. Together with outer regularity and finiteness on compact sets, the constructed Borel measure is Radon in the convention of Radon measure on an LCH space.

Facts & Assumptions

Given: The constructed measure satisfies μ(U)=ρ(U) on opens.

[L1]

The compact-set formula holds and compact sets have finite measure. (Compact-set formula and local finiteness of the RMK measure)

Proof

technique · direct
1.1

If fU and K=suppf, then [L1] 0f1K. For every hCc(X) with 1Kh, monotonicity gives Λ(f)Λ(h); taking the infimum in [L1] yields Λ(f)μ(K). Hence ρ(U)supKUμ(K).

L1
2.1

The reverse inequality is monotonicity of the measure. Since μ(U)=ρ(U), the displayed equality follows. Outer regularity is built into μ, and [L1] gives compact finiteness, so all Radon clauses hold.

step 1.1L1
TheoremStatement: Literature-sourcedProof: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

Positive functionals on C_c(X) are integration against a Radon measure

Statement

Let X be LCH and let Λ:Cc(X;R)R be positive. The Radon measure μ constructed above satisfies Λ(f)=Xfdμ(fCc(X;R)).

Facts & Assumptions

Given: μ is the Radon measure constructed from Λ.

Proof

technique · direct
1.1

Let 0fCc(X) and choose N with fNε. For 1nN set Kn={fnε} and fn=min{ε,(f(n1)ε)+}. Then f=n=1Nfn, ε1Knfnε1Kn1, where K0=suppf.

given
1.2

The upper compact estimate 0h1KΛ(h)μ(K) follows directly from [L1] by comparing h with functions majorizing 1K; the lower estimate 1Khμ(K)Λ(h) is [L1]. Applying these to fn/ε gives εμ(Kn)Λ(fn)εμ(Kn1). The same inequalities hold for fndμ.

L1
2.1

Summing step 1.2 and using μ(K0)< shows Λ(f)fdμεμ(K0). Letting ε0 proves equality for nonnegative f. Applying it to f+ and f and using linearity proves the result for every real fCc(X).

step 1.1step 1.2
TheoremStatement: Literature-sourcedProof: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

Uniqueness of the RMK representing measure among Radon measures

Statement

If two Radon measures μ and ν on an LCH space satisfy fdμ=fdν for every fCc(X), then μ=ν on B(X).

Facts & Assumptions

Given: μ,ν are Radon and agree on all Cc integrals.

[L1]

LCH cutoffs exist between compact and open sets. (LCH Urysohn cutoff)

Proof

technique · direct
1.1

If KU with K compact and U open, choose f by [L1]. Then μ(K)fdμ=fdνν(U). Taking the infimum over UK gives μ(K)ν(K) by outer regularity; symmetry gives equality on compact sets.

L1
2.1

Inner regularity on open sets now gives μ(U)=ν(U) for every open U. Outer regularity on Borel sets then gives μ(E)=ν(E) for every Borel E, including infinite values.

step 1.1
TheoremStatement: Literature-sourcedProof: AI-adaptedaudited 2026-09-07Open item page →

Sigma-compact open sets make locally finite Borel measures regular

Statement

Let X be LCH and suppose every open subset of X is sigma-compact. Every Borel measure finite on compact sets is regular: it is outer regular on Borel sets and inner regular by compact sets on every Borel set.

Facts & Assumptions

Given: Every open subset of X is sigma-compact and μ(K)< for compact K.

Proof

technique · direct
1.1

If U is open, write U=nLn with Ln compact. The compact sets Kn=jnLj increase to U, so continuity from below gives μ(U)=supnμ(Kn). Thus μ is inner regular on opens.

given
2.1

Since X itself is sigma-compact, local compactness and finite [step 1.1, choose] subcovers give increasing relatively compact open sets Vn with X=nVn. Fix one such V=Vn. Its total measure is finite because μ(V)μ(V)<. Every relatively open subset of V is open in X, hence is compact-inner-regular by step 1.1. Every relatively closed subset of V is sigma-compact: intersect it with a compact exhaustion of the sigma-compact open space V. It is therefore also compact-inner-regular by continuity from below.

step 1.1
3.1

Let RV be the Borel subsets of V that are both outer [step 2.1] regular in V and inner regular by compact sets. The relatively open sets belong to RV: inner regularity is step 2.1 and outer regularity is immediate. A relatively closed set F is inner regular by step 2.1; if W=VF, choose compact KW with μ(WK)<ε, and then the relatively open set VK contains F with excess below ε. Thus closed sets also belong to RV. Because μ(V)<, taking complements interchanges the two approximation properties. Countable unions preserve outer regularity by summable open errors and preserve inner regularity by first taking a finite partial union and then a finite union of compact cores. Hence RV is a sigma-algebra containing the relatively open sets, so every Borel subset of V is regular.

step 2.1
4.1

Let E be Borel. Since EVnE, the regularity just proved [step 3.1] on each Vn gives μ(E)=sup{μ(K):KE, K compact}. Indeed, when μ(E)<, first choose n so that μ(EVn) is small and then take a compact core of EVn; when μ(E)=, choose n and then a compact core with arbitrarily large finite measure.

step 3.1
5.1

If μ(E)=, outer regularity is automatic. Otherwise partition [step 3.1, step 4.1] E into the Borel slices En=E(VnVn1), with V1=. Relative outer regularity in Vn gives a relatively open, hence open-in-X, set OnVn containing En with μ(OnEn)<ε2n1. Then O=nOn is open, contains E, and μ(OE)<ε. Thus every Borel set is outer regular as well as compact-inner-regular; in particular μ is Radon and is regular in the stronger convention.

step 3.1step 4.1
CorollaryStatement: Literature-sourcedProof: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

Locally finite Borel measures on second-countable LCH spaces are regular

Statement

Every Borel measure finite on compact sets on a second-countable LCH space is regular.

Facts & Assumptions

Given: X is second-countable and LCH, and μ is finite on compact sets.

[L2]

If every open set is sigma-compact, compact-finite Borel measures are regular. (Sigma-compact open sets make locally finite Borel measures regular)

Proof

technique · direct
1.1

Refining a countable base by [L1] gives a countable base (Vn) with compact closures. Every open U is the union of those Vn whose closures lie in U, hence is a countable union of compact sets Vn.

L1
2.1

Thus every open set is sigma-compact, and [L2] applies to μ.

step 1.1L2
TheoremStatement: Literature-sourcedProof: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

Lebesgue measure is a Radon measure on R^n

Statement

Let n1 and assume the Axiom of Countable Choice. Lebesgue measure on Rn is a Radon measure, and it is regular in the stronger compact-inner-regular-on-all-Borel-sets convention.

Facts & Assumptions

Proof

technique · direct
1.1

Compact subsets of Rn are bounded, so they have finite measure by [L1]. Outer regularity on Borel sets and compact inner regularity on open sets are also direct instances of [L1]. These are precisely the Radon clauses.

L1
2.1

The last part of [L1] applies to every Borel set, so the stronger regularity assertion also holds.

L1
PropositionStatement: Literature-sourcedProof: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

Lebesgue--Stieltjes regularity agrees with the LCH Radon convention on R

Statement

Assume the Axiom of Countable Choice. Every Lebesgue--Stieltjes measure μF on R is Radon in the LCH convention, and its interval convention remains μF((a,b])=F(b)F(a) for increasing right-continuous F.

Facts & Assumptions

Given: The Axiom of Countable Choice, an increasing right-continuous F, and its Lebesgue--Stieltjes measure μF.

Proof

technique · direct
1.1

By [L1], μF is finite on compact sets, outer regular on Borel sets, and inner regular by compact sets on Borel sets, hence in particular on open sets. These imply every clause of the LCH Radon definition.

L1
2.1

No measure is replaced in this comparison, so the defining half-open interval formula and the Borel sigma-algebra from the construction remain unchanged.

givenL1
TheoremStatement: Literature-sourcedProof: AI-adaptedaudited 2026-09-07Open item page →

Lusin's theorem for a Radon measure

Statement

Let μ be a Radon measure on an LCH space in the convention of Radon measure on an LCH space. Let E be Borel with μ(E)< and let f:EC be Borel measurable. For every ε>0 there is compact KE such that μ(EK)<ε and fK is continuous.

Facts & Assumptions

Given: X,μ,E,f as in the Statement and ε>0.

[L1]

Radon means finite on compact sets, outer regular on Borel sets, and compact-inner-regular on open sets (Radon measure on an LCH space). We do not assume the stronger all-Borel convention of Regular Borel measure on an LCH space.

Proof

technique · derive compact approximation for finite-measure sets, then intersect finite compact cell cores
1.1

First let B be Borel of finite measure and let δ>0. By [L1], choose open UB of finite measure and compact LU with μ(UL)<δ/2. By outer regularity choose open OUB with μ(O)<μ(UB)+δ/2. Then H=LO is compact and contained in B. Since B is disjoint from UB, μ(BO)<δ/2, and hence μ(BH)μ(UL)+μ(BO)<δ. This proves compact approximation for each finite-measure Borel set using only [L1].

L1givenconstruct
1.2

Since f is complex-valued and μ(E)<, continuity from above gives an M>0 for which B={xE:f(x)M} satisfies μ(EB)<ε/4. For each m0, partition the disk zM into finitely many nonempty disjoint Borel cells Cm,j, 1jJm, each of diameter less than 2m. Such cells can be obtained by intersecting the disk with a finite half-open square grid. Their preimages Bm,j partition B into finite-measure Borel sets.

givenconstruct
2.1

Apply step 1.1 to choose compact Hm,jBm,j with μ(Bm,jHm,j)<ε2m3/Jm. Put Hm=j=1JmHm,j and K=m0Hm. Each Hm is compact and thus closed in X; their intersection is a closed subset of the compact H0, hence compact. Moreover KBE and μ(EK)μ(EB)+m0μ(BHm)<ε/4+m0ε2m3=ε/2<ε.

step 1.1step 1.2construct
3.1

For each m, the finitely many disjoint compact sets KHm,j cover K. Each is relatively clopen, because its complement is a finite union of closed sets. On it, the values of f lie in Cm,j and have oscillation below 2m. Given xK and a positive tolerance, choose m so 2m is smaller; its clopen cell piece is a neighbourhood witnessing continuity at x. The empty K case is vacuous. Thus fK is continuous.

step 2.1
TheoremStatement: Literature-sourcedProof: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

C_c(X) is dense in L^p(mu) for a Radon measure

Statement

If μ is a Radon measure on an LCH space X and 1p<, then Cc(X) is dense in Lp(μ).

Facts & Assumptions

Given: μ is Radon and 1p<.

[L1]
[L2]

LCH cutoffs exist between compact and open sets. (LCH Urysohn cutoff)

Proof

technique · direct
1.1

It suffices by [L1] to approximate 1E when μ(E)<. [L1, choose] Given η>0, outer regularity gives open UE with μ(UE)<ηp/2, and inner regularity of U gives compact KU with μ(UK)<ηp/2.

L1
2.1

Choose fCc(X) with 1Kf1U by [L2]. [step 1.1, L2] Then f1E1UK+1UE. Since both indicators take only the values zero and one and their union is U(KE), while 0f,1E1, the error is bounded by the indicator of that union. Hence f1Eppμ(UK)+μ(UE)<ηp. Thus f1Ep<η.

step 1.1L2
3.1

Approximate the finitely many indicator terms of a simple function separately and sum the resulting Cc functions. Then use [L1] and the triangle inequality.

step 2.1L1
LemmaStatement: Literature-sourcedProof: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

Positive C_0(X) functionals have finite regular representing measures

Statement

Let X be LCH and let L:C0(X;R)R be bounded and positive. There is a unique finite regular Borel measure μ such that L(f)=fdμ for all fC0(X), and μ(X)=L.

Facts & Assumptions

Given: L is bounded and positive on C0(X).

Proof

technique · direct
1.1

Restrict L to Cc(X) and apply [L1], obtaining a Radon measure μ. For every compact K, a cutoff 0h1 equal to 1 on K gives μ(K)L(h)L. Inner regularity on X therefore yields μ(X)L<.

L1
2.1

Conversely, L(f)L(f)fμ(X) first for fCc(X). Since Cc(X) is uniformly dense in C0(X) and μ is finite, both sides extend continuously to C0(X), giving the representation and Lμ(X). Thus equality holds.

step 1.1
3.1

A finite Radon measure is compact-inner-regular on every Borel set: apply open inner regularity to an open superset of the complement and use finite complements. Hence μ is regular. Uniqueness follows from [L1].

step 1.1step 2.1L1
LemmaStatement: Literature-sourcedProof: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

A bounded real C_0(X) functional is a difference of positive functionals

Statement

Every bounded real linear functional L on C0(X;R) can be written L=L+L, where L+ and L are bounded positive linear functionals and L±L.

Facts & Assumptions

Given: L:C0(X;R)R is bounded and linear.

Proof

technique · direct
1.1

For f0 define L+(f)=sup{L(g):0gf}. The supremum is finite because L(g)Lf. It is positively homogeneous and monotone.

given
2.1

If f,h0, decompositions 0gf+h satisfy g=g1+g2 with g1=min(g,f) and g2=gg1, where 0g1f and 0g2h. This gives L+(f+h)L+(f)+L+(h); the reverse inequality follows by adding independent approximants. Thus L+ is additive on the positive cone.

step 1.1
3.1

Extend L+ linearly by L+(u)=L+(u+)L+(u). Cone additivity makes this well defined and positive. Put L=L+L; for f0, the competitor g=f in step 1.1 gives L+(f)L(f), so L is positive. The bounds in step 1.1 give L±L, and L=L+L.

step 1.1step 2.1
TheoremStatement: Literature-sourcedProof: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

The bounded complex dual of C_0(X) is regular complex measures

Statement

For an LCH space X, every bounded complex linear functional L on C0(X;C) has a unique representation L(f)=Xfdμ by a finite regular complex Borel measure μ. Conversely each such μ defines a bounded functional and L=μ(X).

Facts & Assumptions

Given: L is bounded and complex linear.

[L1]

Bounded real functionals split into differences of positive functionals. (A bounded real C_0(X) functional is a difference of positive functionals)

[L2]

Positive bounded functionals have finite regular representing measures. (Positive C_0(X) functionals have finite regular representing measures)

Proof

technique · direct
1.1

On the real vector space of real-valued functions put A(u)=ReL(u) and B(u)=ImL(u). Apply [L1], then [L2], to the positive decompositions of both A and B. This gives finite regular signed measures α and β representing A and B. Put μ=α+iβ. If f=u+iv, complex linearity gives L(f)=L(u)+iL(v), whose real and imaginary parts agree exactly with those of fd(α+iβ); hence μ represents L.

L1L2
2.1

If two finite regular complex measures μ and ν represent L, [step 1.1, L2] then the real and imaginary signed parts of their difference μν integrate every real Cc function to zero. For either signed part, move its negative Jordan component to the other side; the two resulting positive Radon measures have equal integrals on Cc. The positive-measure uniqueness in [L2] makes those positive measures equal, so both signed parts of μν vanish and μ=ν.

step 1.1
3.1

Conversely, fdμfμ(X), so integration is bounded with norm at most μ(X). The definition of total variation and regular approximation by compactly supported phase functions gives functions with f1 and integrals arbitrarily close to μ(X); hence equality of norms.

given
RemarkRemark: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

Functional-analysis uses of the RMK forms

FA-9 uses the positive representation form for probability-measure extreme points. FA-18 uses the compact/C0 form in commutative Gelfand theory, and FA-20 obtains scalar and complex measures from its positive-functional construction. This page remains the sole mathematical supplier; this is an orientation receipt, not a dependency edge or a new functional-analysis result.

LemmaStatement: Literature-sourcedProof: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

Countable intersections of club subsets of omega_1 are club

Statement

Assume ACω. If Cnω1 is closed and unbounded for every nN, then nCn is closed and unbounded in ω1.

Facts & Assumptions

Proof

technique · diagonal construction
1.1

Finite intersections of clubs are club: closedness is immediate, and for two clubs one alternately chooses larger points in them; the supremum of the resulting omega-sequence is below ω1 by [L1] and belongs to both by closedness. Induction handles finitely many.

L1
2.1

Given α<ω1, recursively choose βk+1nkCn with βk+1>βk, starting above α; step 1.1 supplies such a point. Let δ=supkβk<ω1 by [L1]. For each fixed n, the tail (βk)k>n lies in Cn, so closedness gives δCn. Also δ>α.

step 1.1L1
3.1

Thus the intersection is unbounded. It is closed as an arbitrary intersection of closed sets, hence is club.

step 2.1
TheoremStatement: Literature-sourcedProof: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

The Dieudonne club-set function is a Borel measure

Statement

Assume ACω and put Y=[0,ω1). For a Borel set BY, define m(B)={1,B contains a club subset of ω1,0,otherwise. Then m is a probability measure on B(Y). Its extension to X=[0,ω1] given by mˉ(E)=m(EY) is a Borel probability measure.

Facts & Assumptions

Given: Y has the order topology and ACω holds.

[L1]

Countable intersections of club subsets of ω1 are club. (Countable intersections of club subsets of omega_1 are club)

Proof

technique · direct
1.1

Let D be the sets AY for which either A or YA contains a club. Two disjoint sets cannot both contain clubs, since two clubs intersect by [L1]. Complements preserve D. For a sequence (An)D, if some An contains a club then so does nAn; otherwise each complement contains a club and [L1] puts a club in the complement of the union. Thus D is a sigma-algebra.

L1
1.2

Every open UY belongs to D: if the closed complement is unbounded, it is club; if it is bounded by α, then the tail [α+1,ω1) is a club contained in U. Hence B(Y)D.

given
2.1

On D, the displayed 0-1 rule is countably additive. Indeed, among pairwise disjoint An at most one has value 1; if none does, the intersection of club subsets of their complements is club by [L1], so their union has value 0. Also m(Y)=1. Restriction EEY is a sigma-homomorphism from B(X) to B(Y), proving the assertion for mˉ.

step 1.1L1
LemmaStatement: Literature-sourcedProof: AI-adaptedaudited 2026-09-07Open item page →

Continuous functions on [0, omega_1] are eventually constant

Statement

Assume ACω. Every continuous f:[0,ω1]R or C is constant on some terminal interval [α,ω1].

Proof

technique · direct
1.1

For every n1, continuity at ω1 gives an ordinal αn<ω1 such that f(β)f(ω1)<1/n whenever αn<βω1.

given
2.1

By [L1], α=supn(αn+1)<ω1. If β[α,ω1], then the inequality in step 1.1 holds for every n, so f(β)=f(ω1).

step 1.1L1
LemmaStatement: Literature-sourcedProof: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

The Dieudonne measure and top-point Dirac mass agree on continuous functions

Statement

Assume the Axiom of Countable Choice. For the Dieudonne measure mˉ on [0,ω1] and the Dirac measure δω1, fdmˉ=f(ω1)=fdδω1 for every continuous real or complex f.

Facts & Assumptions

Given: The Axiom of Countable Choice and the resulting extended club-set probability measure mˉ.

[L1]

Continuous functions on [0,ω1] are eventually constant. (Continuous functions on [0, omega_1] are eventually constant)

Proof

technique · direct
1.1

By [L1], f=c=f(ω1) on a tail [α,ω1]. Its intersection with Y=[0,ω1) contains a club, so its complement has mˉ-measure zero. Thus f=c almost everywhere for mˉ.

L1
2.1

Since both measures are probabilities, fdmˉ=c, while the defining property of a Dirac measure gives fdδω1=f(ω1)=c.

step 1.1
False statementConstruction: Literature-sourcedVerification: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

Every Borel measure on an LCH space is Radon

Statement

The assertion “every Borel measure on an LCH space is Radon” is false.

Facts & Assumptions

Given: X=[0,ω1] and mˉ is the Dieudonne Borel probability measure.

Refutation

technique · counterexample
1.1

The ordinal space X is compact Hausdorff, hence LCH, and mˉ is a finite Borel measure. The set Y=[0,ω1) is open and has mˉ(Y)=1.

given
2.1

Every compact KY is bounded below some α<ω1, so its complement in Y contains a club and mˉ(K)=0. Therefore mˉ(Y)=10=supKYmˉ(K), contradicting the open-set inner-regularity clause of a Radon measure.

given
False statementConstruction: Literature-sourcedVerification: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

An RMK functional determines every Borel representing measure uniquely

Statement

The assertion that equality of all Cc integrals determines an arbitrary Borel representing measure is false without regularity.

Facts & Assumptions

Given: X=[0,ω1], the Dieudonne measure mˉ, and δω1.

[L1]

These measures have equal integrals on continuous functions. (The Dieudonne measure and top-point Dirac mass agree on continuous functions)

Refutation

technique · counterexample
1.1

Compactness gives Cc(X)=C(X), so [L1] says that mˉ and δω1 represent the same functional on Cc(X).

L1
2.1

They are distinct: for Y=[0,ω1), mˉ(Y)=1 whereas δω1(Y)=0. Thus uniqueness holds only in the stated Radon class.

given
False statementConstruction: Literature-sourcedVerification: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

Every positive linear functional on C_c(X) is uniformly sup-norm bounded

Statement

The assertion that every positive linear functional on Cc(X) is bounded for the global supremum norm is false.

Facts & Assumptions

Given: X=R and Λ(f)=Rfdλ.

Refutation

technique · counterexample
1.1

The functional is linear and positive on Cc(R). For each n, choose a cutoff fnCc(R) with 0fn1 and fn=1 on [n,n].

given
2.1

Then fn=1 but Λ(fn)2n. No constant C can satisfy Λ(f)Cf for every fCc(R).

step 1.1
False statementConstruction: Literature-sourcedVerification: AI-adaptedaudited 2026-09-07Open item page →

Inner regularity on open sets implies inner regularity on all Borel sets

Statement

On a locally compact Hausdorff space, a Borel measure that is finite on compact sets, outer regular on Borel sets, and inner regular on open sets must be compact-inner-regular on every Borel set.

Facts & Assumptions

Given: Work with Countable Choice. Put A={0}×R, D={(1/n,m/n2):m,nN>0}, and X=AD. Declare each point of D isolated and declare the following sets, for N1, to be a neighbourhood basis at (0,y): WN(y)={(0,y)}{(1/n,m/n2)D:n>N, m/n2y<1/n}. In particular a basic neighbourhood contains exactly one axis point. Define μ(E)=(1/n,m/n2)EDn3 for every subset E of X, and M(E)=infEU openμ(U).

[A1]

The Baire category theorem for the ordinary complete interval [1,2] says that a countable closed cover has a member with nonempty relative interior.

Refutation

technique · direct counterexample
1.1

These sets define a Hausdorff topology: wedges with different centres become disjoint after truncation, and isolated points can be removed by truncation. Each WN(y) is compact, since any neighbourhood of its centre leaves only finitely many of its atoms uncovered. Thus X is locally compact. The axis is closed and discrete; each subset of it is closed in X, so every subset of X is Borel. At level n a wedge contains at most 2n+1 atoms, giving μ(WN(y))n>N(2n+1)n30. In particular μ is locally finite.

given
1.2

For a subset SA, if an open US has finite μ-mass, deleting finitely many atoms from U makes its mass arbitrarily small without losing S. Hence M(S) is either zero or infinity. The family I={SA:M(S)=0} is closed under subsets and countable unions: cover its jth member by an open set of mass less than ε2j1, for j0, and take their union. Thus ν(S)=0 on I and ν(S)= otherwise is a countably additive measure on the axis.

givenconstruct
1.3

Let UA be open and set BN={y[1,2]:WN(y)U}. Each BN is closed in [1,2]: its complement is the union, over missing atoms with n>N, of the open intervals m/n2y<1/n. The BN increase and cover [1,2]. By Baire some BN contains a nondegenerate interval I[1,2]. All atoms with n>N and m/n2I belong to U, so μ(U)n>N(In2+O(1))n3=. Hence M(A)=.

A1given
2.1

For every EX one has M(E)=μ(ED)+ν(EA). Indeed the lower bounds follow by monotonicity; when ν(EA)=0, adjoin an arbitrarily small open cover of EA to the open set ED. The infinite cases follow directly from the lower bounds. Consequently M is a Borel measure. For open U, M(U)=μ(U) by the defining infimum. The same infimum makes M outer regular.

step 1.2given
3.1

Every compact set has finite M-mass by a finite cover of finite-mass basic neighbourhoods. Also M({d})=μ({d}) for dD, so finite sets of atoms inside an open U have masses with supremum μ(U)=M(U). This proves compact inner regularity on opens. A compact subset of the closed discrete axis is finite, and each axis singleton has M-mass zero by the wedge estimate; therefore every compact subset of A has mass zero.

step 1.1step 2.1
4.1

We have M(A)=>0=supKA compactM(K), although M satisfies all the claimed premises. This refutes the implication, preserving the page's distinction between Radon and all-Borel regularity.

step 3.1step 1.3
False statementConstruction: Literature-sourcedVerification: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

Every finite Borel measure on a compact Hausdorff space is regular

Statement

Assuming the Axiom of Countable Choice, the assertion “every finite Borel measure on a compact Hausdorff space is regular” is false.

Facts & Assumptions

Given: The Axiom of Countable Choice and X=[0,ω1] with the resulting Dieudonne probability measure mˉ.

Refutation

technique · counterexample
1.1

The space X is compact Hausdorff and mˉ(X)=1. For the open Borel set Y=[0,ω1), one has mˉ(Y)=1, while every compact KY is bounded and has mˉ(K)=0.

given
2.1

Hence mˉ is not even inner regular on the open set Y, and therefore is not regular.

step 1.1
False statementConstruction: Literature-sourcedVerification: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

C_c(X) is dense in L^infinity(mu) for every Radon measure

Statement

The assertion that Cc(X) is dense in L(μ) for every Radon measure is false.

Facts & Assumptions

Given: X=R with Lebesgue measure and the constant function 1.

Refutation

technique · counterexample
1.1

For any gCc(R), the complement of suppg has positive measure and g=0 there. Hence 1g=1 on a set of positive measure, so 1g1.

given
2.1

Taking g=0 shows the distance is exactly 1. Thus the finite-p density theorem cannot be extended to p=.

step 1.1

5 · Examples, counterexamples and false statements

None yet.

Sources