DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-05

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.

Independent families of event classes

Definition

Let $(Ω, F, P)$ be a probability space, let $I$ be an index set, and let $(C_{i})_{i \in I}$ be a family of classes of events $C_{i} \subseteq F$ .

The family $(C_{i})_{i \in I}$ is independent when for every natural number $n \geq 1$ , every choice of distinct indices $i_{0}, \dots, i_{n - 1} \in I$ , and every choice of events $A_{k} \in C_{i_{k}}$ , one has

$P (⋂_{k < n} A_{k}) = \prod_{k < n} P (A_{k}) .$

Thus independence is a finite-subfamily condition. In particular, the empty family and every one-member family are independent.

Depends on

Probability measures and probability spaces

Independent families of event classes

Definition

Depends on

Dependency tree · 2 levels

Sources