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 sigma-algebras and independent events
Definition
Let be a probability space.
A family of sub-sigma-algebras of is independent when it is independent as a family of event classes in the sense of Independent families of event classes.
A family of events is independent when the singleton event classes are independent. Equivalently, for every finite choice of distinct indices ,
For two events this reduces to the familiar identity .
Depends on
Used by
- Independent random elements Definition
- L2-m-approximable causal Bernoulli shifts Definition
- Pairwise independence Definition
- Finite-dependent functional moving average Example
- Competing exponential clocks give the reaction event law Lemma
- Conditioning a known state and independent noise Lemma
- Elementary Ito integrals do not depend on step representation Lemma
- Finite-dependent vector central limit theorem Lemma
- Independent events remain independent under complements Lemma
- Independent noise extends and pushes forward a conditional law Lemma
- Regular conditional kernels push forward under measurable random maps Lemma
- The finite product law has iid coordinate maps Lemma
- The monotone IV first stage is the complier proportion Lemma
- An independent pilot coefficient preserves conditional unbiasedness Theorem
- Conformal rank superuniformity under exchangeability Theorem
- Disjoint groups of an independent sigma-algebra family remain independent Theorem
- Empirical-law bootstrap draws are conditionally IID Theorem
- Fixed-order autoregressive OLS martingale limit Theorem
- Full conformal marginal coverage Theorem
- Future-path Markov property Theorem
- Gaussian simple kriging is a conditional mean Theorem
- Independent pi-systems generate independent sigma-algebras Theorem
- Ito isometry for elementary integrands Theorem
- Markov property of Brownian motion Theorem
- Split conformal marginal coverage Theorem
Dependency tree · two levels
4 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
- Rick Durrett, Probability: Theory and Examples, 5th ed., Section 2.1 (standard reference, not scraped)
- S. R. S. Varadhan, Probability Theory, Section 3.1 (standard reference, not scraped)