How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Nonnegative scalar multiples and countable weighted sums of measures are measures
Statement
Let be measures on one measurable space and let . Each scalar multiple , defined by the zero, finite-positive, and positive-infinity branches of Nonnegative scalar multiples and countable weighted sums of measures, is a measure. Every finite or countable weighted sum is also a measure.
Facts & Assumptions
Given: Measures on and coefficients .
Scalar multiplication has separate , , and branches, and weighted sums are pointwise nonnegative extended sums (Nonnegative scalar multiples and countable weighted sums of measures).
For a nonnegative extended double sequence, the two iterated sums are equal (Tonelli's theorem for double series of nonnegative extended real numbers).
A measure vanishes at the empty set and is countably additive on disjoint measurable sequences (Measures on sigma-algebras).
Proof
For , the set function is the zero measure.
For , ; for disjoint , multiplying the finite partial-sum identities by and taking their supremum gives , whether the common value is finite or .
For , a disjoint union has -measure zero exactly when every member has -measure zero: this follows directly from countable additivity and nonnegativity. Hence the infinite branch takes value on the union exactly when every term value is , and otherwise both it and the series of term values are ; this branch is a measure without forming .
Steps 1.1, 1.2 and 1.3 prove that every scalar multiple is a measure for all possible coefficients.
Put . Then .
If is disjoint, then step 2.1 and Tonelli give .
Steps 3.1 and 3.2 prove that the countable weighted sum is a measure; the same proof for a finite index range, or zero coefficients thereafter, gives every finite weighted sum, including the empty zero measure.
Depends on
Used by
- Borel-Cantelli for the shrinking intervals (0,2⁻ᵏ) under a dyadic atomic measure Example
- The weights 2⁻⁽ᵏ⁺¹⁾ define a probability measure on P(ℕ) Example
- Every measure on a countable discrete space is its weighted sum of Dirac measures Theorem
Cited to discharge well-definedness by Nonnegative scalar multiples and countable weighted sums of measures.
Dependency tree · two levels
8 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
- T. Tao, An Introduction to Measure Theory, Example 1.4.24 and Exercise 1.4.22 (standard reference, not scraped)