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Lebesgue-Stieltjes Measures and Distribution Functions
1 · Prerequisites
- Areas of Elementary Plane Figures
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Variation and the Riemann–Stieltjes Integral
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Countability and Uncountability
- Filters and Ultrafilters
- Foundations of the Real Numbers for Analysis
- Lebesgue Measure on Euclidean Space
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Measures and Their Basic Properties
- Metric Spaces
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Order, Zorn's Lemma, and the Axiom of Choice
- Outer Measure and the Caratheodory Extension Theorem
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Sequences and Limits
- Series: Convergence and the Nonnegative Tests
- Sigma Algebras and Borel Sets
- Subspaces, Products, and Quotients
- Suprema and Infima
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- The Riemann Integral in Rᵐ and Jordan Content
- The Riemann Integral: Definition and Integrability
- The Topology of Euclidean Space
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
An increasing right-continuous function determines a finitely additive interval set function on the half-open algebra, and the Caratheodory extension theorem upgrades that data to a Borel measure on the line. The page then runs the construction in reverse: a Borel measure finite on compact sets yields a normalized distribution function, and the two constructions agree modulo constants.
With that dictionary in place, the standard interval formulas, point-mass formula, regularity, and canonical examples become transparent. Lebesgue measure appears as the identity distribution function, the Cantor function produces the singular atomless Cantor measure, and every finite Borel measure splits into its atomic and atomless parts.
3 · Logical flowchart
4 · Definitions, theorems and proofs
This page uses the nondecreasing, right-continuous, -interval convention
This page fixes the convention
for a nondecreasing, right-continuous function . That pairing of monotonicity, interval shape, and continuity direction is the one used in Folland and Hunter, and it is the one for which the shrinking intervals force right continuity through continuity from above.
Another standard convention in the literature uses the left-continuous data instead. The two choices are both legitimate, but they are not the same construction for a fixed function. This page adopts the former convention once, records the latter here only as a warning, and thereafter uses the left-limit notation of The left and right limits of at , as limits of the restrictions of to and only in derived interval formulas. Throughout this page, the order hypothesis on is the weak one for .
A Borel measure on that is finite on compact sets
Definition
A Borel measure on finite on compact sets is a measure
on the Borel sigma-algebra The Borel sigma-algebra of a topological space such that
This is the one-dimensional finiteness hypothesis used throughout the Lebesgue-Stieltjes correspondence on this page.
The algebra of finite disjoint unions of half-open intervals in with extended endpoints
Definition
Call an h-interval any interval of one of the four forms
where are real in the bounded case. Let be the family of subsets for which there are a natural number and pairwise disjoint h-intervals such that
The empty set is included as the empty union. This family is called the half-open interval algebra on .
Every h-interval is an interval in the sense of Intervals of : the nine order-convex forms, nondegeneracy, and length, and the complement in of one h-interval is empty, another h-interval, or a disjoint union of two h-intervals. Intersections of h-intervals are h-intervals or empty, so finite disjoint unions of h-intervals are closed under complements, finite unions, and finite intersections. Therefore is an algebra of subsets of in the sense of Algebras of subsets.
The interval set function attached to a nondecreasing right-continuous function
Definition
Let be nondecreasing and right-continuous, and adopt the convention of This page uses the nondecreasing, right-continuous, -interval convention.
For a single h-interval , define
For a set presented as a finite disjoint union of h-intervals, define
with for the empty union.
The same set can have more than one disjoint h-interval presentation, so the
value needs a well-definedness proof. That is exactly the content of
The Stieltjes interval set function is finitely additive on the half-open interval algebra ↗, recorded here in
justified_by.
The Stieltjes interval set function is finitely additive on the half-open interval algebra
Statement
Let be nondecreasing and right-continuous, and let be the set function of The interval set function attached to a nondecreasing right-continuous function. Then the value of is independent of the chosen finite disjoint decomposition of . Moreover, if are disjoint, then
So is a finitely additive set function on the half-open interval algebra.
Facts & Assumptions
Given: A nondecreasing right-continuous function and the set function defined from finite disjoint unions of h-intervals.
For every disjoint presentation in the half-open interval algebra, the proposed value is . (The interval set function attached to a nondecreasing right-continuous function)
Proof
Suppose are two finite disjoint h-interval decompositions of the same set.
Collect every finite endpoint appearing among the and , and adjoin or when a left or right ray occurs. This gives an increasing list such that each and each is a disjoint union of consecutive h-cells , with the first or last cell possibly a ray.
If is one interval from either decomposition, the sum of the -values of the consecutive cells inside telescopes to .
In the unbounded cases this is exactly the truncation/supremum convention built into The interval set function attached to a nondecreasing right-continuous function. Thus each decomposition gives the same total, namely the sum of the cell values over those contained in . So is well defined. [step 1.1, L1, algebra]
Let be disjoint, and choose disjoint h-interval decompositions of and of .
Refine them to a common endpoint grid as in step 1.1, and sum over the grid cells. The cells belonging to are exactly the disjoint union of the cells belonging to and the cells belonging to , so the corresponding cell sums add:
Together with step 2.1 this proves the claim. [step 2.1, given, algebra] ∎
The Stieltjes interval set function is a premeasure
Statement
Let be nondecreasing and right-continuous, and let be the set function of The interval set function attached to a nondecreasing right-continuous function. Then is a premeasure on the half-open interval algebra in the sense of Premeasures on algebras of sets.
Facts & Assumptions
Given: A nondecreasing right-continuous function , the associated interval set function , a pairwise disjoint sequence in the half-open interval algebra, and a set that also lies in the half-open interval algebra.
The set function is well defined and finitely additive on the half-open interval algebra. (The Stieltjes interval set function is finitely additive on the half-open interval algebra)
Every closed bounded interval is compact. (Heine-Borel by bisection: every closed bounded interval is compact)
Proof
By [L1], it is enough to prove countable additivity when is a single h-interval.
Indeed, if is a finite disjoint union of h-intervals, then each is again a finite disjoint union of h-intervals, the families are pairwise disjoint, and . Applying the single-interval case to each and summing finitely gives the general case.
Let be a disjoint union of h-intervals, with itself an h-interval.
For every ,
because is the disjoint union of and the remainder , whose -value is nonnegative. Hence . [step 1.1, L1, given, algebra]
Assume first that , where the are pairwise disjoint h-intervals.
Let . Right continuity at gives with . For each , if meets then its right endpoint is finite; write that endpoint as , let be its left endpoint, and choose with . Then the open intervals cover : every in that compact interval belongs to , hence lies in some that must have finite right endpoint and therefore satisfies . [given, L2, choose]
By compactness from [L2], finitely many of those open intervals cover .
Write them as . Since , monotonicity and finite additivity give
Adding yields
[step 2.1, step 3.1, L1, algebra]
Because was arbitrary, step 4.1 gives .
Together with step 2.1, this proves countable additivity for bounded intervals. [step 2.1, step 4.1]
If , then for every real the bounded interval is the disjoint union of the h-intervals .
By step 5.1,
Taking the supremum over gives . Combined with step 2.1, this proves countable additivity for left rays. The same argument with proves the right-ray case . [step 2.1, step 5.1, algebra]
If , then for every real the bounded interval is the disjoint union of the h-intervals .
So step 5.1 gives
Taking the supremum over yields . Together with step 2.1 and step 6.1, this proves countable additivity for every h-interval. [step 2.1, step 5.1, step 6.1, algebra]
By step 1.1, the single-interval cases of steps 5.1 through 7.1 imply the general countable additivity clause whenever a disjoint union in the algebra stays in the algebra.
Therefore is a premeasure. [step 1.1, step 5.1, step 6.1, step 7.1] ∎
Assuming countable choice, a nondecreasing right-continuous function defines a Borel measure on
Statement
Assume the Axiom of Countable Choice. Let be nondecreasing and right-continuous. Then there is a Borel measure on , finite on compact sets in the sense of A Borel measure on that is finite on compact sets, such that
Facts & Assumptions
Given: Countable choice, a nondecreasing right-continuous function , and its interval set function on the half-open interval algebra.
The interval set function is a premeasure on the half-open interval algebra. (The Stieltjes interval set function is a premeasure)
Assuming countable choice, a premeasure extends to a measure on the sigma-algebra it generates. (Assuming countable choice, a premeasure extends through its induced outer measure)
The family of half-open intervals with generates the Borel sigma-algebra . (Seven generating families for the Borel sigma-algebra on the real line)
A compact subset of is bounded. (A compact subset of is closed and bounded)
Proof
By [L1], is a premeasure, so [L2] gives a measure on the generated sigma-algebra extending .
By [L3], that sigma-algebra is , and therefore
for every . [L1, L2, L3]
Let be compact. By [L4] there is with .
So monotonicity and step 1.1 give
Thus is finite on compact sets. [step 1.1, L4, algebra]
The measure of steps 1.1 and 2.1 is therefore a Borel measure on finite on compact sets and having the prescribed half-open interval values.
This is the required . [step 1.1, step 2.1] ∎
The interval data on determines the Borel measure uniquely
Statement
Let and be Borel measures on finite on compact sets in the sense of A Borel measure on that is finite on compact sets. If
then for every Borel set .
Facts & Assumptions
Given: Two Borel measures on , each finite on compact sets, and agreement of and on every half-open interval .
The family of half-open intervals with generates the Borel sigma-algebra on . (Seven generating families for the Borel sigma-algebra on the real line)
Measures that agree on a generating pi-system and on an increasing finite-measure exhaustion from that pi-system agree on the whole sigma-algebra. (Measures agreeing on a generating pi-system are equal under an increasing finite-measure exhaustion from that pi-system)
Proof
Let
If and lie in , then is either empty or another half-open interval , so is a pi-system. By [L1], . [L1, algebra]
For each , put . The [given, algebra] sequence is increasing and . Because each is contained in the compact interval , both and are finite; and by the hypothesis they are equal.
Step 1.1 provides the generating pi-system and step 1.2 provides the [step 1.1, step 1.2, L2] increasing finite-measure exhaustion. Therefore [L2] applies and yields on .
The distribution function of a Borel measure on , normalized at
Definition
Let be a Borel measure on finite on compact sets. Its distribution function normalized at is the function defined by
Both interval measures are finite: the relevant half-open interval is contained in the closed bounded interval with endpoints and , which is compact by Heine-Borel by bisection: every closed bounded interval is compact, and measure monotonicity Measures are monotone applies.
The two cases agree at , where both give . This normalization removes the additive-constant ambiguity that would remain if one used only interval increments.
Assuming countable choice, finite-on-compacts Borel measures on correspond to nondecreasing right-continuous functions modulo constants
Statement
Assume the Axiom of Countable Choice. Let be a Borel measure on finite on compact sets, and let be its normalized distribution function from The distribution function of a Borel measure on , normalized at . Then:
-
is nondecreasing and right-continuous;
-
for every ,
-
the Lebesgue-Stieltjes measure attached to is exactly .
Conversely, if are nondecreasing and right-continuous, then if and only if is constant on .
Facts & Assumptions
Given: Countable choice, a Borel measure on finite on compact sets, its distribution function , and two nondecreasing right-continuous functions .
Measures are continuous from above when one set in the decreasing chain has finite measure. (Continuity from above when one set has finite measure)
Assuming countable choice, every nondecreasing right-continuous function defines a Borel measure on with the prescribed values on half-open intervals. (Assuming countable choice, a nondecreasing right-continuous function defines a Borel measure on )
A Borel measure finite on compact sets is uniquely determined by its values on half-open intervals . (The interval data on determines the Borel measure uniquely)
Proof
The function is nondecreasing.
If , then , so . If , then , so , again giving . If , then . [given, algebra]
Suppose first that . Then for every ,
So for all , and therefore is constant. [algebra]
Conversely, if is constant, then for every .
For every one has .
In the three sign cases:
and
So the displayed interval formula always holds. [step 1.1, given, algebra]
The function is right-continuous. Fix and let with .
For all large one has when , while for no sign change occurs. In either case, step 2.1 gives
The sets decrease to , and the first one has finite measure because it is contained in a compact interval. Therefore [L1] gives , so . [step 2.1, L1]
By [L3], the function determines a Lebesgue-Stieltjes measure .
Step 2.1 says that and agree on every half-open interval, so [L4] gives . [step 2.1, step 3.1, L3, L4]
The interval values of and therefore agree by [L3], and [L4] yields . Together with steps 1.1, 1.2, 1.3, 2.1, and 3.1 this proves the theorem. [step 1.1, step 1.2, step 1.3, step 2.1, step 3.1, L3, L4] ∎
An atom of a measure on
Definition
Let be a Borel measure on , that is, a measure in the sense of Measures on sigma-algebras on the Borel sigma-algebra The Borel sigma-algebra of a topological space. A point is an atom of when
Equivalently, has a point mass at .
Interval formulas and atoms for a Lebesgue-Stieltjes measure
Statement
Assume the Axiom of Countable Choice. Let be nondecreasing and right-continuous, and let be its Lebesgue-Stieltjes measure. Then for every ,
and
Consequently is an atom of in the sense of An atom of a measure on if and only if , and the set of atoms of is at most countable.
Facts & Assumptions
Given: The Axiom of Countable Choice, a nondecreasing right-continuous function , its Lebesgue-Stieltjes measure , and real numbers .
Assuming Countable Choice, the measure satisfies for all . (Assuming countable choice, finite-on-compacts Borel measures on correspond to nondecreasing right-continuous functions modulo constants)
Measures are continuous from below along increasing set limits; they are continuous from above along decreasing set limits when one set has finite measure (Continuity from below for measures, Continuity from above when one set has finite measure).
For a bounded-variation function on a compact interval, every well-posed one-sided limit exists, every discontinuity is of the first kind, and there are at most countably many discontinuities (A bounded-variation function has at most countably many discontinuities, all of the first kind).
Assuming Countable Choice, a countable union of at most countable sets is at most countable (Countable unions of at most countable sets, assuming ).
A point is an atom of a Borel measure exactly when (An atom of a measure on ).
If are measurable and , then (Measure of a set difference when the smaller set has finite measure).
Proof
Put . Then for every and .
Because , continuity from below and [L1] give
Here has bounded variation because it is nondecreasing, so [L3] ensures that the displayed left limit exists. [L1, L2, L3, algebra]
Put . Then and , while the intervals decrease to .
The first interval has finite measure because is real-valued, so continuity from above and [L1] give
The restriction has bounded variation because it is nondecreasing, so [L3] ensures that the displayed left limit exists. [L1, L2, L3, algebra]
The intervals decrease to , and continuity from above gives .
Indeed, has finite measure and [step 2.1, L1, L2, L3]
The same argument gives . Therefore
Together with step 1.1, this proves all four interval formulas. [step 1.1, step 2.1, step 3.1, L1, L6, algebra]
By step 3.1 and [L5], the point is an atom of exactly when , which is exactly the jump condition .
Fix . The restriction is nondecreasing, hence of bounded variation on .
So [L3] makes its discontinuity set at most countable. Every atom of in is an interior jump point by step 4.1, hence lies in that countable discontinuity set. Therefore the atoms in are at most countable. By [L4], their union over is at most countable, and this union contains every atom of . [given, step 4.1, L3, L4]
Steps 1.1 through 5.1 prove the claimed interval formulas, the atom criterion, and the countability of the atom set.
[step 1.1, step 2.1, step 3.1, step 4.1, step 5.1] ∎
Lebesgue-Stieltjes measures on are outer regular and inner regular by compact sets
Statement
Let be nondecreasing and right-continuous, and let be the associated Lebesgue-Stieltjes measure. Then for every Borel set ,
If , then equivalently: for every there are an open set and a compact set with
Facts & Assumptions
Given: A nondecreasing right-continuous function , its Lebesgue-Stieltjes measure , a Borel set , and .
The half-open interval formulas hold for , including the formulas for open and closed intervals. (Interval formulas and atoms for a Lebesgue-Stieltjes measure)
Measures are continuous from below and from above. (Continuity from below for measures, Continuity from above when one set has finite measure)
The half-open intervals generate the Borel sigma-algebra on , and the monotone class generated by an algebra is the sigma-algebra it generates. (Seven generating families for the Borel sigma-algebra on the real line, The monotone class generated by an algebra equals the sigma-algebra it generates)
Every closed bounded interval is compact. (Heine-Borel by bisection: every closed bounded interval is compact)
The Borel sigma-algebra of a subspace is the trace of the ambient Borel sigma-algebra. (The Borel sigma-algebra of a subspace is the trace of the ambient Borel sigma-algebra)
Proof
Every bounded half-open interval is regular. Let .
Choose so small that ; then the open interval contains and [L1] gives
Likewise choose with ; then the closed interval is compact by [L4], satisfies , and [L1] gives
[L1, L4, choose]
Fix and write . Let be the family of Borel subsets such that for every there is an open set with
By step 1.1, every trace with lies in . Those traces form an algebra on , because is an algebra on and traces preserve complements and finite unions. By [L5] together with the generator statement of [L3], they generate the Borel sigma-algebra of the subspace . [step 1.1, L3, L5]
The family is a monotone class. If and , choose open with .
Then is open, contains , and
so . If instead , then has finite measure by [L1], so [L2] gives ; choose with , then choose open with . The open set contains , and
[step 2.1, L1, L2]
Step 3.1 makes a monotone class containing the algebra from step 2.1.
Therefore [L3] gives that every Borel subset of lies in : every bounded Borel set is relatively outer regular inside a compact interval. [step 2.1, step 3.1, L3]
Let be Borel. Apply step 4.1 to the Borel complement in the subspace .
Choose open with . Put . Then is closed in the compact interval , hence compact by [L4], and . Moreover
so . Thus every bounded Borel set is also inner regular by compact sets. [step 4.1, L4]
The global inner regularity follows by truncation. Put .
Then , so [L2] gives . For each , step 5.1 gives a compact with . Hence
while the reverse inequality is monotonicity. [step 5.1, L2, algebra]
For global outer regularity, first suppose . Choose so large that .
This is possible directly from [L2] on . Step 4.1 gives an open with . For each of the two tails and , decompose into unit half-open strips and apply step 4.1 on each compact strip, choosing the errors summably below ; enlarging each strip by a thin open shell whose -measure is also chosen summably below via [L1], the union of those stripwise open sets is open and contributes total excess below . Taking the union with gives an open set with . [step 4.1, step 6.1, L1, L2]
If , then every open also has by monotonicity.
So . Combining this with step 7.1 gives the outer regularity equality in all cases. The inner regularity equality is step 6.1, and the finite-measure -approximation statement is exactly the combination of steps 6.1 and 7.1. [step 6.1, step 7.1, algebra] ∎
Lebesgue measure is the Lebesgue-Stieltjes measure of the identity function
Statement
Assume the Axiom of Countable Choice. Let . The Lebesgue-Stieltjes measure attached to agrees with Lebesgue measure from Lebesgue measurable sets, the family , and the restricted set function on every Borel subset of .
Facts & Assumptions
Given: Countable choice and the identity function .
Assuming countable choice, every nondecreasing right-continuous function on defines a Borel measure through the Lebesgue-Stieltjes construction. (Assuming countable choice, a nondecreasing right-continuous function defines a Borel measure on )
For every half-open interval , Lebesgue measure satisfies . (A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included)
A Borel measure on finite on compact sets is uniquely determined by its values on half-open intervals. (The interval data on determines the Borel measure uniquely)
Proof
The identity function is nondecreasing and right-continuous, so [L1] gives a Borel measure with
[L1]
By [L2], Lebesgue measure has the same half-open interval values: for every .
The measures and are both Borel and finite on compact sets, and by steps 1.1 and 1.2 they agree on every half-open interval.
Therefore [L3] gives . [step 1.1, step 1.2, L3] ∎
The Cantor measure
Definition
Assume the Axiom of Countable Choice. Let be the Cantor function The Cantor function on , defined on the Cantor set through ternary digits and extended constantly across each removed interval. Define
By The Cantor function is well defined, satisfies whenever , is surjective onto , and is constant on every interval removed from the Cantor set and The Cantor function is continuous on , the function is nondecreasing and right-continuous on . The Cantor measure is the Lebesgue-Stieltjes measure
given by Assuming countable choice, a nondecreasing right-continuous function defines a Borel measure on .
The Cantor measure is a singular atomless probability measure concentrated on the Cantor set
Statement
Assume the Axiom of Countable Choice. Let be the Cantor measure of The Cantor measure and let be the Cantor set. Then:
- , so is a probability measure;
- for every , so is atomless;
- , so is concentrated on the Cantor set;
- since , the measure is singular with respect to Lebesgue measure.
Facts & Assumptions
Given: The Axiom of Countable Choice, the Cantor function , its extension , the Cantor measure , and the Cantor set .
The Cantor function is continuous, nondecreasing, satisfies and , and is constant on every complementary gap of . (The Cantor function is continuous on , The Cantor function is well defined, satisfies whenever , is surjective onto , and is constant on every interval removed from the Cantor set)
The interval and singleton formulas hold for every Lebesgue-Stieltjes measure. (Interval formulas and atoms for a Lebesgue-Stieltjes measure)
Assuming Countable Choice, the Cantor set has Lebesgue measure zero. (The Cantor set is an uncountable subset of of Lebesgue measure zero)
Measures are continuous from below. (Continuity from below for measures)
Proof
By [L2],
Likewise, for every , and . So all mass lies in , and is a probability measure. [L1, L2]
If , then [L1] makes , so [L2] gives [step 1.1, L1, L2] . The same holds for and because is constant on and on , and it holds at because . Hence is atomless.
Every point of lies in a complementary gap of [step 2.1, L1, L2, L4, algebra] , and [L1] makes constant on . Therefore [L2] gives
Because is the countable union of those disjoint gaps, countable additivity gives . Together with step 1.1 this yields . [step 2.1, L1, L2, L4, algebra]
By [L3], , while step 3.1 shows that is concentrated [step 1.1, step 2.1, step 3.1, L3] on . That is exactly the statement that is singular with respect to Lebesgue measure.
Steps 1.1 through 4.1 prove the probability, atomless, concentration, and [step 1.1, step 2.1, step 3.1, step 4.1] singularity claims.
Every finite Borel measure on splits as an atomic part plus an atomless part
Statement
Assume the Axiom of Countable Choice. Let be a finite Borel measure on . Then there are a countable set and a finite atomless Borel measure such that
The set is exactly the set of atoms of .
Facts & Assumptions
Given: The Axiom of Countable Choice and a finite Borel measure on .
Assuming Countable Choice, finite-on-compacts Borel measures correspond to increasing right-continuous distribution functions, and the resulting Lebesgue-Stieltjes measure is the original measure. (Assuming countable choice, finite-on-compacts Borel measures on correspond to nondecreasing right-continuous functions modulo constants)
For a Lebesgue-Stieltjes measure, atoms are exactly positive jumps, and there are at most countably many of them. (Interval formulas and atoms for a Lebesgue-Stieltjes measure)
Every Dirac measure is a probability measure, and countable nonnegative weighted sums of measures are measures. (A Dirac set function is a probability measure, Nonnegative scalar multiples and countable weighted sums of measures are measures)
Proof
Let be the distribution function of . By [L1], one has . Therefore [L2] shows that the atom set.
is at most countable. If , then for every , so is already atomless; taking proves the theorem. Otherwise choose an injective enumeration , where if is finite and if is infinite.
By [L3], the weighted Dirac sum
is a Borel measure. For every Borel set ,
because the singletons are pairwise disjoint and countable additivity of applies to their union. [step 1.1, L3, algebra]
Define
Because remains pairwise disjoint whenever is, the same countable additivity as for shows that is a finite Borel measure. [step 2.1, given, algebra]
For every Borel set , the disjoint decomposition gives.
If , then ; if , then by definition of , so also . Hence is atomless. [step 2.1, step 3.1, algebra]
If , step 1.1 already gives the claimed decomposition. Otherwise step 4.1 is exactly that decomposition, and step 1.1 identifies as the atom set of .
5 · Examples, counterexamples and false statements
FALSE: every nondecreasing function defines a Lebesgue-Stieltjes measure on Borel sets
Statement
False claim. Every nondecreasing function defines a Borel measure satisfying . The valid construction on this page also requires the right-continuity recorded in This page uses the nondecreasing, right-continuous, -interval convention.
Facts & Assumptions
Given: The function
Measures are continuous from above on decreasing measurable sets when one set in the chain has finite measure. (Continuity from above when one set has finite measure)
Refutation
The function is nondecreasing but not right-continuous at : one has while for every .
If a Borel measure satisfied for every , then
for every . [given]
The sets decrease to , and .
Therefore [L1] would force
contradicting step 1.1. So no such measure exists. [step 1.1, L1] ∎
FALSE: a Lebesgue-Stieltjes measure always gives every singleton measure
Statement
False claim. Every Lebesgue-Stieltjes measure satisfies for every . In fact singleton masses are exactly the jumps of by Interval formulas and atoms for a Lebesgue-Stieltjes measure.
Facts & Assumptions
Given: The Axiom of Countable Choice and the step function
For a Lebesgue-Stieltjes measure, one has . (Interval formulas and atoms for a Lebesgue-Stieltjes measure)
Assuming Countable Choice, every nondecreasing right-continuous real function defines a Lebesgue-Stieltjes measure. (Assuming countable choice, a nondecreasing right-continuous function defines a Borel measure on )
Refutation
The function is nondecreasing and right-continuous, so [L2] defines its [given, L2] Lebesgue-Stieltjes measure . At the point , one has and .
Applying [L1] at gives
So the singleton has positive measure, and the claim is false. [step 1.1, L1] ∎
FALSE: a Lebesgue-Stieltjes measure determines its distribution function uniquely
Statement
False claim. A Lebesgue-Stieltjes measure determines a unique distribution function. The valid statement on this page is only uniqueness modulo additive constants, with normalization at choosing one representative.
Facts & Assumptions
Given: Countable choice, a nondecreasing right-continuous function , and the shifted function .
Assuming countable choice, two nondecreasing right-continuous functions define the same Lebesgue-Stieltjes measure exactly when their difference is constant. (Assuming countable choice, finite-on-compacts Borel measures on correspond to nondecreasing right-continuous functions modulo constants)
Refutation
The function is nondecreasing and right-continuous whenever is, and [given] is the constant function .
Therefore [L1] gives . Unless already equals , [step 1.1, L1] which no real-valued function does, the two distribution functions are distinct. So the measure does not determine a unique representative without a normalization convention.
FALSE: every Borel measure on is finite on compact sets
Statement
False claim. Every Borel measure on is finite on compact sets. The finiteness-on-compacts hypothesis in the Lebesgue-Stieltjes correspondence is therefore a genuine hypothesis, not a consequence of being a Borel measure.
Facts & Assumptions
Given: Counting measure on .
Counting measure is a measure on . (Counting measure is a measure)
Counting measure assigns an infinite set the value . (Counting measure on an arbitrary set)
Refutation
By [L1], counting measure restricts to a Borel measure on . The [L1, given] compact interval is infinite.
Therefore [L2] gives [step 1.1, L2] . So this Borel measure is not finite on the compact set , and the claim is false.
FALSE: every atomless Borel measure on is absolutely continuous with respect to Lebesgue measure
Statement
False claim. Every atomless Borel measure on has a density with respect to Lebesgue measure. The Cantor measure already separates atomlessness from absolute continuity.
Facts & Assumptions
Given: The Axiom of Countable Choice and the Cantor measure .
Assuming Countable Choice, the Cantor measure is an atomless probability measure singular with respect to Lebesgue measure. (The Cantor measure is a singular atomless probability measure concentrated on the Cantor set)
Refutation
By [L1], the Cantor measure is atomless.
The same fact [L1] says that is singular and has total mass . [step 1.1, L1] If it were absolutely continuous with respect to Lebesgue measure, its concentration on a Lebesgue-null set would force its total mass to be . Thus it is not absolutely continuous and cannot arise from a density. ∎
Sources
- Gerald B. Folland, Real Analysis, 2nd ed., Section 1.5
- John K. Hunter, Measure Theory, Section 2.9
- Gerald B. Folland, Real Analysis, 2nd ed., Proposition 1.15
- Gerald B. Folland, Real Analysis, 2nd ed., Theorem 1.16
- John K. Hunter, Measure Theory, Theorem 2.34
- Gerald B. Folland, Real Analysis, 2nd ed., Theorem 1.18
- John K. Hunter, Measure Theory, Example 2.35
- John K. Hunter, Measure Theory, Example 2.37
- John K. Hunter, Measure Theory, Example 2.36