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.
Counting measure is a measure
Statement
For every set , the counting set function of Counting measure on an arbitrary set is a measure on .
Facts & Assumptions
Given: A set and a pairwise disjoint sequence of subsets of .
Counting measure assigns a finite set its finite cardinality and an infinite set the value (Counting measure on an arbitrary set).
A measure must vanish at the empty set and be countably additive on pairwise disjoint measurable sequences (Measures on sigma-algebras).
A nonnegative extended series is the supremum of its finite partial sums (Series in the nonnegative extended real line).
A set is finite when it is equinumerous with a natural number, and otherwise it may be countably infinite or uncountable (Finite, countably infinite, countable, uncountable).
Proof
One has . For every , disjointness gives whenever all those sets are finite.
If some is infinite, then is infinite and both and are .
Suppose every is finite. If is finite, only finitely many pairwise disjoint can be nonempty, and step 1.1 gives .
Suppose every is finite but is infinite. For every , the set contains more than distinct points; the finitely many indices of the containing those points have a strict upper bound (take one more than their maximum), so step 1.1 gives . Hence the partial sums are unbounded and their supremum is .
Steps 1.2, 2.1 and 2.2 cover all possibilities for the union, so countable additivity holds; with from step 1.1, [L2] proves that is a measure.