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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:X→F be continuous, where F is R or C. Its support is supp⁡f:={x:f(x)≠0}‾. Put Cc(X;F)={f∈C(X;F):supp⁡f 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 f≺U

Definition

For an open U⊆X, write f≺U when f∈Cc(X), 0≤f≤1, and supp⁡f⊆U. This is an admissibility condition, not the pointwise relation f≤1U.

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 f≥0 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)=inf⁡E⊆V openμ(V),μ(U)=sup⁡K⊆U 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)=sup⁡K⊆E, 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 ∣∫f dμ∣ 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,g∈Cc(X) and f≤g, then Λ(f)≤Λ(g).

Facts & Assumptions

Given: A positive real-linear Λ:Cc(X)→R and f≤g.

Proof

technique · direct
1.1given

Since supports of f and g are compact, g−f∈Cc(X); moreover g−f≥0.

2.1step 1.1algebra∎

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

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 K⊆U with K compact and U open in an LCH space X, then some f∈Cc(X) satisfies 1K≤f≤1U.

Facts & Assumptions

Given: K⊆U, with K compact and U open.

[L1]

Every compact set in an LCH space has an open neighbourhood V with K⊆V⊆V‾⊆U 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
1.1L1L2choose

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

2.1step 1.1construct∎

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

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 K⊆X be compact, and let U1,…,Un be open sets covering K. Then there are nonnegative φi∈Cc(X) with supp⁡φi⊆Ui such that ∑iφi=1 on an open neighbourhood of K.

Facts & Assumptions

Given: Dependent Choice, and K⊆⋃i=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
1.1L1

Consider all triples (V,W,i) with V,W open, 1≤i≤n, [given, L1] and V‾⊆W⊆W‾⊆Ui, 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 Vj‾⊆Wj to obtain hj∈Cc(X) with 0≤hj≤1, hj=1 on Vj‾, and hj=0 off Wj. Consequently supp⁡hj⊆Wj‾⊆Uij.

2.1step 1.1L1

Put h=∑jhj. Then h≥1 on K, so {h>1/2} is an [step 1.1, L1, choose] open neighbourhood of K. Choose open sets O,W with K⊆O⊆O‾⊆W⊆W‾⊆{h>1/2}, where the displayed closures are compact. Apply [L1] to O‾⊆W to obtain g∈Cc(X) with 0≤g≤1, g=1 on O‾, and g=0 off W. Thus supp⁡g⊆W‾⊆{h>1/2}, and g=1 on the open neighbourhood O of K.

3.1step 1.1step 2.1∎

For 1≤i≤n, set φi(x)={g(x)∑j:ij=ihj(x)h(x),h(x)>0,0,h(x)=0. The quotient is only used on supp⁡g⊆{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.

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):f∈Cc(X), 0≤f≤1U}=sup⁡{Λ(f):f≺U}, with sup⁡∅=0, and for arbitrary E⊆X define μ∗(E)=inf⁡{ρ(U):E⊆U, 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
1.1givenL1

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.

1.2L1L2

The cutoff supremum is at most the pointwise supremum. Conversely, let [L1, L2] 0≤f≤1U have compact support K, and choose h∈Cc(X) with 0≤h≤1 and h=1 on K by applying [L2] to K⊆X. For t>0 put ft=(f−th)+. Then ft≺U: its support lies in the compact set {f≥t}⊆U. Moreover 0≤f−ft≤th, so positivity gives Λ(f)≤Λ(ft)+tΛ(h). Letting t↓0 proves that the two displayed suprema defining ρ(U) are equal.

2.1step 1.1

If U⊆V, 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,∞].

3.1step 2.1∎

For open U, using U itself in the infimum gives [step 2.1] μ∗(U)≤ρ(U). Conversely, if U⊆V 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)=∞.

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passverified 2026-09-09 (gpt-6-astra)Open item page →

The RMK functional outer content is an outer measure

Statement

Assume Dependent Choice. With ρ and μ∗ as in The RMK functional outer content is well defined, μ∗ is an outer measure on X in the sense of Outer measures.

Facts & Assumptions

Given: Dependent Choice and the stated functional construction on a locally compact Hausdorff space.

[L0]

For open U, ρ(U) is also the supremum of Λ(f) over f≺U: 0≤f≤1 and compact support contained in U. (The RMK functional outer content is well defined, The compactly supported cutoff relation f≺U)

[L1]

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

[L2]

Dependent Choice supplies a sequence of successive extensions of finite partial selections. (The axiom of dependent choice: a relation in which every element is related to something admits an N-indexed chain)

Proof

technique · direct
1.1given

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

1.2L0L1

For any sequence of open sets (Un)n≥0 put U=⋃nUn. [L0, L1] Use the equivalent supremum in [L0], not merely the condition f≤1U. For f≺U, its compact support K is contained in U. If K is empty, f=0. Otherwise a finite set of distinct indices n1,…,nm gives a cover of K. By [L1] choose nonnegative φj∈Cc(X) with support contained in Unj and sum 1 near K. Then f=∑jfφj. On K each φj≤1; off K the product is zero. Thus 0≤fφj≤1 and its compact support is contained in Unj, so fφj≺Unj. Linearity gives Λ(f)≤∑j=1mρ(Unj)≤∑n≥0ρ(Un). The last inequality uses the distinct indices and nonnegativity. Taking the supremum in [L0] proves countable subadditivity for these open sets.

2.1givenL2step 1.2∎

Let E⊆⋃n≥0En. [given, L2, step 1.2] If ∑nμ∗(En)=∞, the required inequality is automatic. Otherwise fix ε>0. Each set of open supersets Un of En satisfying ρ(Un)<μ∗(En)+ε2−n−1 is nonempty by the defining infimum. To select all Un, consider the set of finite lists of admissible choices, starting with the empty list, with relation given by one-term extension. Every list has an extension. Applying [L2] and taking the union of the resulting coherent lists supplies the sequence. This is the countable selection used here; [L0] and [L1] also use the stated DC hypothesis. No implication theorem from a later choice page is assumed. For U=⋃nUn, step 1.2 now gives μ∗(E)≤ρ(U)≤∑nρ(Un)≤∑nμ∗(En)+ε. Letting ε↓0 completes countable subadditivity.

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=μ∗∣B(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
1.1given

Fix open G,V and f≺V∩G. Put [given] K=supp⁡f. For any g≺V∖K, the supports of f and g are disjoint, so f+g≺V. Hence ρ(V)≥Λ(f)+ρ(V∖K). Since V∖G⊆V∖K, ρ(V∖K)≥μ∗(V∖G). Taking the supremum over f≺V∩G therefore gives ρ(V)≥ρ(V∩G)+μ∗(V∖G)=μ∗(V∩G)+μ∗(V∖G).

2.1step 1.1

For arbitrary E and open V⊇E, monotonicity and step 1.1 [step 1.1] give ρ(V)≥μ∗(E∩G)+μ∗(E∖G). Infimizing over V gives the hard Caratheodory inequality; outer subadditivity gives the reverse inequality.

3.1step 2.1L1∎

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.

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 K⊆X, μ(K)=inf⁡{Λ(f):f∈Cc(X), 1K≤f}. 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
1.1given

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

1.2L1

Conversely, for every open U⊇K, choose an open V with [L1, choose] K⊆V⊆V‾⊆U and compact closure. [L1] applied to K⊆V supplies f∈Cc(X) with 1K≤f≤1V. Since f=0 off V, supp⁡f⊆V‾⊆U, and hence f≺U. 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.

2.1step 1.1step 1.2L1∎

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)<∞.

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 U⊆X, μ(U)=sup⁡{μ(K):K⊆U, 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
1.1L1

If f≺U and K=supp⁡f, then [L1] 0≤f≤1K. For every h∈Cc(X) with 1K≤h, monotonicity gives Λ(f)≤Λ(h); taking the infimum in [L1] yields Λ(f)≤μ(K). Hence ρ(U)≤sup⁡K⋐Uμ(K).

2.1step 1.1L1∎

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.

TheoremStatement: Literature-sourcedProof: AI-adaptedverified 2026-09-23 (gpt-6-sol)Open 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)=∫Xf dμ(f∈Cc(X;R)).

Facts & Assumptions

Given: μ is the Radon measure constructed from Λ.

[L2]

The nonnegative integral is monotone and positively homogeneous, and agrees with the simple integral on indicators (Monotonicity and nonnegative homogeneity of the nonnegative integral, The nonnegative integral agrees with the simple integral on simple functions).

[L3]

The integral is linear on integrable real functions (The Lebesgue integral is linear on L1(μ)).

Proof

technique · direct
1.1given

Let 0≤f∈Cc(X) and choose N with f≤Nε. For 1≤n≤N set Kn={f≥nε} and fn=min⁡{ε,(f−(n−1)ε)+}. Then f=∑n=1Nfn, ε1Kn≤fn≤ε1Kn−1, where K0=supp⁡f.

1.2L1L2

The upper compact estimate 0≤h≤1K⇒Λ(h)≤μ(K) follows directly from [L1] by comparing h with functions majorizing 1K; the lower estimate 1K≤h⇒μ(K)≤Λ(h) is [L1]. Applying these to fn/ε gives εμ(Kn)≤Λ(fn)≤εμ(Kn−1). Since both indicators are measurable simple functions, [L2] gives the same inequalities for ∫fn dμ.

2.1step 1.1step 1.2L3∎

Each fn is supported on the compact set K0 and is bounded, hence integrable because μ(K0)<∞. Summing step 1.2 using [L3] gives ∣Λ(f)−∫f dμ∣≤εμ(K0). Letting ε↓0 proves equality for nonnegative f. Applying it to f+ and f− and using [L3] proves the result for every real f∈Cc(X).

TheoremStatement: Literature-sourcedProof: AI-adaptedverified 2026-09-23 (gpt-6-sol)Open item page →

Assuming Dependent Choice, uniqueness of the RMK representing measure among Radon measures

Statement

Assume Dependent Choice. If two Radon measures μ and ν on an LCH space satisfy ∫f dμ=∫f dν for every f∈Cc(X), then μ=ν on B(X).

Facts & Assumptions

Given: Dependent Choice (The axiom of dependent choice: a relation in which every element is related to something admits an N-indexed chain); μ,ν are Radon and agree on all Cc integrals.

[L1]

Under Dependent Choice, LCH cutoffs exist between compact and open sets (LCH Urysohn cutoff). Applying this supplier in step 1.1 is the use of DC here.

Proof

technique · direct
1.1L1

If K⊆U with K compact and U open, choose f by [L1]. Then μ(K)≤∫f dμ=∫f dν≤ν(U). Taking the infimum over U⊇K gives μ(K)≤ν(K) by outer regularity; symmetry gives equality on compact sets.

2.1step 1.1∎

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.

TheoremStatement: Literature-sourcedProof: AI-adaptedverified 2026-09-23 (gpt-6-sol)Open item page →

Sigma-compact open sets make locally finite Borel measures regular

Statement

Assume countable choice ACω. 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: Countable choice, every open subset of X is sigma-compact and μ(K)<∞ for compact K.

[A1]

Countable choice selects the countable relatively compact neighbourhoods and summably accurate open approximants (The Axiom of Countable Choice (ACω)).

[L1]

Measures are continuous from below on increasing measurable sets (Continuity from below for measures).

Proof

technique · direct
1.1givenL1

If U is open, write U=⋃nLn with Ln compact. The compact sets Kn=⋃j≤nLj increase to U, so continuity from below [L1] gives μ(U)=sup⁡nμ(Kn). Thus μ is inner regular on opens.

2.1step 1.1

Since X itself is sigma-compact, local compactness and finite [step 1.1, A1, choose] subcovers, chosen for each stage using [A1], 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.

3.1A1step 2.1

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=V∖F, choose compact K⊆W with μ(W∖K)<ε, and then the relatively open set V∖K 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 chosen using [A1] 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.

4.1step 3.1

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

5.1A1step 3.1step 4.1∎

If μ(E)=∞, outer regularity is automatic. Otherwise partition [step 3.1, step 4.1] E into the Borel slices En=E∩(Vn∖Vn−1), with V−1=∅. Relative outer regularity in Vn gives a relatively open, hence open-in-X, set On⊆Vn containing En with μ(On∖En)<ε2−n−1; use [A1] to choose all such On at once. Then O=⋃nOn is open, contains E, and μ(O∖E)<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.

CorollaryStatement: Literature-sourcedProof: AI-adaptedprecheck passverified 2026-09-23 (gpt-6-sol)Open item page →

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

Statement

Assume the Axiom of Countable Choice ACω. Every Borel measure finite on compact sets on a second-countable LCH space is regular.

Facts & Assumptions

Given: Countable Choice (The Axiom of Countable Choice (ACω)), X is second-countable and LCH, and μ is finite on compact sets.

[L2]

Under Countable Choice, if every open set is sigma-compact, compact-finite Borel measures are regular (Sigma-compact open sets make locally finite Borel measures regular). The stated choice assumption is spent only in this theorem.

Proof

technique · direct
1.1L1givenconstruct

Let (Bn) be a given countable base and let U be open. Take all indices n for which Bn‾ is compact and contained in U; this is a specified subfamily of the given base and needs no selection. For each x∈U, [L1] gives an open W with x∈W⊆W‾⊆U and W‾ compact. Choose one Bn with x∈Bn⊆W; its closure is a closed subset of the compact W‾, hence compact and contained in U. Thus the selected subfamily covers U, and U is the union of the corresponding countably many compact closures.

2.1step 1.1L2given∎

Thus every open set is sigma-compact. Apply [L2] under the stated Countable Choice premise to obtain regularity of μ.

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 n≥1 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
1.1L1

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.

2.1L1∎

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

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
1.1L1

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.

2.1givenL1∎

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

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:E→C be Borel measurable. For every ε>0 there is compact K⊆E such that μ(E∖K)<ε and f∣K 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
1.1L1givenconstruct

First let B be Borel of finite measure and let δ>0. By [L1], choose open U⊇B of finite measure and compact L⊆U with μ(U∖L)<δ/2. By outer regularity choose open O⊇U∖B with μ(O)<μ(U∖B)+δ/2. Then H=L∖O is compact and contained in B. Since B is disjoint from U∖B, μ(B∩O)<δ/2, and hence μ(B∖H)≤μ(U∖L)+μ(B∩O)<δ. This proves compact approximation for each finite-measure Borel set using only [L1].

1.2givenconstruct

Since f is complex-valued and μ(E)<∞, continuity from above gives an M>0 for which B={x∈E:∣f(x)∣≤M} satisfies μ(E∖B)<ε/4. For each m≥0, partition the disk ∣z∣≤M into finitely many nonempty disjoint Borel cells Cm,j, 1≤j≤Jm, each of diameter less than 2−m. 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.

2.1step 1.1step 1.2construct

Apply step 1.1 to choose compact Hm,j⊆Bm,j with μ(Bm,j∖Hm,j)<ε2−m−3/Jm. Put Hm=⋃j=1JmHm,j and K=⋂m≥0Hm. Each Hm is compact and thus closed in X; their intersection is a closed subset of the compact H0, hence compact. Moreover K⊆B⊆E and μ(E∖K)≤μ(E∖B)+∑m≥0μ(B∖Hm)<ε/4+∑m≥0ε2−m−3=ε/2<ε.

3.1step 2.1∎

For each m, the finitely many disjoint compact sets K∩Hm,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 2−m. Given x∈K and a positive tolerance, choose m so 2−m is smaller; its clopen cell piece is a neighbourhood witnessing continuity at x. The empty K case is vacuous. Thus f∣K is continuous.

TheoremStatement: Literature-sourcedProof: AI-adaptedverified 2026-09-23 (gpt-6-sol)Open item page →

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

Statement

Assume Dependent Choice (The axiom of dependent choice: a relation in which every element is related to something admits an N-indexed chain). If μ is a Radon measure on an LCH space X and 1≤p<∞, then Cc(X) is dense in Lp(μ).

Facts & Assumptions

Given: DC, μ is Radon and 1≤p<∞.

[L1]
[L2]

Under the stated DC premise, LCH cutoffs exist between compact and open sets (LCH Urysohn cutoff). Proof 2.1 is the exact use of DC.

Proof

technique · direct
1.1L1

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

2.1step 1.1L2

Choose f∈Cc(X) with 1K≤f≤1U by [L2]. [step 1.1, L2] Then ∣f−1E∣≤1U∖K+1U∖E. Since both indicators take only the values zero and one and their union is U∖(K∩E), while 0≤f,1E≤1, the error is bounded by the indicator of that union. Hence ∥f−1E∥pp≤μ(U∖K)+μ(U∖E)<ηp. Thus ∥f−1E∥p<η.

3.1step 2.1L1∎

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

LemmaStatement: Literature-sourcedProof: AI-adaptedverified 2026-09-23 (gpt-6-sol)Open item page →

Positive C_0(X) functionals have finite regular representing measures

Statement

Assume Dependent Choice (The axiom of dependent choice: a relation in which every element is related to something admits an N-indexed chain). 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)=∫f dμ for all f∈C0(X), and μ(X)=∥L∥.

Facts & Assumptions

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

[L2]

Under Dependent Choice, compact sets inside open sets have continuous compactly supported cutoffs. (LCH Urysohn cutoff)

Proof

technique · direct
1.1L1L2given

Restrict L to Cc(X) and apply [L1], obtaining a Radon measure μ. For every compact K, [L2] with U=X gives a cutoff 0≤h≤1 equal to 1 on K. Thus μ(K)≤∫h dμ=L(h)≤∥L∥. Inner regularity on the open set X therefore yields μ(X)≤∥L∥<∞. This is where Dependent Choice enters.

2.1L2step 1.1

Conversely, ∣L(f)∣≤L(∣f∣)≤∥f∥∞μ(X) first for f∈Cc(X). To see uniform density directly, for f∈C0(X) and ϵ>0 the set K={∣f∣≥ϵ} is compact; [L2] with U=X gives h∈Cc(X) equal to one on K and between zero and one, so ∥f−hf∥∞≤ϵ. Since L is bounded and μ is finite, both sides extend continuously to C0(X), giving the representation and ∥L∥≤μ(X). Thus equality holds.

3.1L1step 1.1step 2.1∎

Let E be Borel and ϵ>0. Open inner regularity of X gives a compact H⊆X with μ(X∖H)<ϵ. Outer regularity of X∖E gives an open V⊇X∖E with μ(V)<μ(X∖E)+ϵ. Then K:=H∖V is compact and contained in E, while E∖K⊆(X∖H)∪(E∩V) and μ(E∩V)=μ(V)−μ(X∖E)<ϵ, using finiteness of μ. Thus μ(E)≤μ(K)+2ϵ; letting ϵ↓0 proves compact inner regularity for every Borel E. Uniqueness follows from [L1].

LemmaStatement: Literature-sourcedProof: AI-adaptedverified 2026-09-23 (gpt-6-sol)Open 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
1.1given

For f≥0 define L+(f)=sup⁡{L(g):0≤g≤f}. The supremum is finite because ∣L(g)∣≤∥L∥∥f∥∞. It is positively homogeneous and monotone.

2.1step 1.1

If f,h≥0, decompositions 0≤g≤f+h satisfy g=g1+g2 with g1=min⁡(g,f) and g2=g−g1, where 0≤g1≤f and 0≤g2≤h. 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.

3.1step 1.1step 2.1∎

Extend L+ linearly by L+(u)=L+(u+)−L+(u−). Cone additivity makes this well defined and positive. Put L−=L+−L; for f≥0, the competitor g=f in step 1.1 gives L+(f)≥L(f), so L− is positive. For 0≤f≤1 pointwise, step 1.1 gives 0≤L+(f)≤∥L∥ and L−(f)=sup⁡0≤g≤f[−L(f−g)]≤∥L∥. For either positive functional P, ∣P(u)∣≤P(∣u∣) and 0≤∣u∣≤∥u∥∞, so these positive-unit-ball bounds imply ∥L±∥≤∥L∥. Finally L=L+−L−.

TheoremStatement: Literature-sourcedProof: AI-adaptedverified 2026-09-23 (gpt-6-sol)Open item page →

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

Statement

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

Facts & Assumptions

Given: Dependent Choice and a bounded complex linear functional L on C0(X;C).

[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)

[L3]

For a finite complex measure, total variation is the supremum of integrals against simple functions bounded by 1 (Total variation is the supremum of simple integrals over unit-bounded test functions).

[L4]

Under Dependent Choice, a compact subset of an open set in an LCH space has a [0,1]-valued compactly supported cutoff equal to 1 on the compact set (LCH Urysohn cutoff, The axiom of dependent choice: a relation in which every element is related to something admits an N-indexed chain).

[L5]

For a regular complex Borel measure, its total variation is finite and regular on every Borel set, so compact inner and open outer approximation apply (Regular complex Borel measures).

Proof

technique · direct
1.1L1L2

On the real vector space of real-valued functions put A(u)=Re⁡L(u) and B(u)=Im⁡L(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 ∫f d(α+iβ); hence μ represents L.

2.1L2step 1.1

If two finite regular complex measures μ and ν represent L, then the real and imaginary signed parts of their difference μ−ν 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 μ−ν vanish and μ=ν.

3.1L3L4L5givenalgebra∎

Conversely, the total-variation integral bound gives ∣∫f dμ∣≤∥f∥∞∣μ∣(X), so integration is bounded with norm at most ∣μ∣(X). If ∣μ∣(X)=0, then μ=0 and equality is immediate. Otherwise fix 0<ε<∣μ∣(X). By [L3], choose a unit-bounded simple s=∑j=1mcj1Ej, with disjoint Borel Ej and ∣cj∣≤1, such that ∣∫s dμ∣>∣μ∣(X)−ε. By [L5], choose compact Kj⊆Ej and open Oj⊇Kj with ∣μ∣(Ej∖Kj)<ε/(8m) and ∣μ∣(Oj∖Kj)<ε/(8m). Replace Oj by Uj:=Oj∖⋃i≠jKi, still an open neighbourhood of Kj. By [L4], choose 0≤fj≤1Uj in Cc(X) with fj=1 on Kj. Put f:=∑jcjfjmax⁡(1,∑jfj). Then f∈Cc(X), ∣f∣≤1, and f=s on ⋃jKj, because on Kj only fj is nonzero. Outside that union, ∣s−f∣≤2 and its support lies in ⋃j(Ej∖Kj)∪⋃j(Uj∖Kj). Thus ∫∣s−f∣ d∣μ∣<ε, and the variation bound gives ∣∫f dμ∣>∣μ∣(X)−2ε. Since ε is arbitrary, ∥L∥≥∣μ∣(X), proving equality.

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 Cn⊆ω1 is closed and unbounded for every n∈N, then ⋂nCn is closed and unbounded in ω1.

Facts & Assumptions

Proof

technique · diagonal construction
1.1L1

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.

2.1step 1.1L1

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

3.1step 2.1∎

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

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 B⊆Y, 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(E∩Y) 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
1.1L1

Let D be the sets A⊆Y for which either A or Y∖A 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.

1.2given

Every open U⊆Y 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.

2.1step 1.1L1∎

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 E↦E∩Y is a sigma-homomorphism from B(X) to B(Y), proving the assertion for mˉ.

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
1.1given

For every n≥1, continuity at ω1 gives an ordinal αn<ω1 such that ∣f(β)−f(ω1)∣<1/n whenever αn<β≤ω1.

2.1step 1.1L1∎

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

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, ∫f dmˉ=f(ω1)=∫f dδω1 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
1.1L1

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.

2.1step 1.1∎

Since both measures are probabilities, ∫f dmˉ=c, while the defining property of a Dirac measure gives ∫f dδω1=f(ω1)=c.

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
1.1given

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.

2.1given∎

Every compact K⊆Y is bounded below some α<ω1, so its complement in Y contains a club and mˉ(K)=0. Therefore mˉ(Y)=1≠0=sup⁡K⋐Ymˉ(K), contradicting the open-set inner-regularity clause of a Radon measure.

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
1.1L1

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

2.1given∎

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

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)=∫Rf dλ.

Refutation

technique · counterexample
1.1given

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

2.1step 1.1∎

Then ∥fn∥∞=1 but Λ(fn)≥2n. No constant C can satisfy ∣Λ(f)∣≤C∥f∥∞ for every f∈Cc(R).

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,n∈N>0}, and X=A∪D. Declare each point of D isolated and declare the following sets, for N≥1, to be a neighbourhood basis at (0,y): WN(y)={(0,y)}∪{(1/n,m/n2)∈D:n>N, ∣m/n2−y∣<1/n}. In particular a basic neighbourhood contains exactly one axis point. Define μ(E)=∑(1/n,m/n2)∈E∩Dn−3 for every subset E of X, and M(E)=inf⁡E⊆U 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
1.1given

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)n−3→0. In particular μ is locally finite.

1.2givenconstruct

For a subset S⊆A, if an open U⊇S 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={S⊆A:M(S)=0} is closed under subsets and countable unions: cover its jth member by an open set of mass less than ε2−j−1, for j≥0, and take their union. Thus ν(S)=0 on I and ν(S)=∞ otherwise is a countably additive measure on the axis.

1.3A1given

Let U⊇A 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/n2−y∣<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/n2∈I belong to U, so μ(U)≥∑n>N(∣I∣n2+O(1))n−3=∞. Hence M(A)=∞.

2.1step 1.2given

For every E⊆X one has M(E)=μ(E∩D)+ν(E∩A). Indeed the lower bounds follow by monotonicity; when ν(E∩A)=0, adjoin an arbitrarily small open cover of E∩A to the open set E∩D. 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.

3.1step 1.1step 2.1

Every compact set has finite M-mass by a finite cover of finite-mass basic neighbourhoods. Also M({d})=μ({d}) for d∈D, 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.

4.1step 3.1step 1.3∎

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

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
1.1given

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 K⊆Y is bounded and has mˉ(K)=0.

2.1step 1.1∎

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

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
1.1given

For any g∈Cc(R), the complement of supp⁡g has positive measure and g=0 there. Hence ∣1−g∣=1 on a set of positive measure, so ∥1−g∥∞≥1.

2.1step 1.1∎

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

5 · Examples, counterexamples and false statements

None yet.

Sources