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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:
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is nondecreasing and right-continuous;
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for every ,
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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] ∎
Depends on
- The distribution function of a Borel measure on $\mathbb{R}$, normalized at $0$
- Continuity from above when one set has finite measure
- Continuity from below for measures
- Assuming countable choice, a nondecreasing right-continuous function defines a Borel measure on $\mathbb{R}$
- The interval data on $(a,b]$ determines the Borel measure uniquely
Used by
- Two different normalizations give the same Lebesgue-Stieltjes measure Example
- FALSE: a Lebesgue-Stieltjes measure determines its distribution function uniquely False statement
- Every finite Borel measure on ℝ splits as an atomic part plus an atomless part Theorem
- Interval formulas and atoms for a Lebesgue-Stieltjes measure Theorem
- Lebesgue-Stieltjes measures on ℝ are outer regular and inner regular by compact sets Theorem
Dependency tree · two levels
17 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Gerald B. Folland, Real Analysis, 2nd ed., Theorem 1.16 (standard reference, not scraped)
- John K. Hunter, Measure Theory, Theorem 2.34 (standard reference, not scraped)