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.
Finite intersection property
Definition
Let be a set and a family of subsets of . A finite list in is a function for some , where is its own set of predecessors in the von Neumann encoding (The natural numbers (von Neumann)). Its intersection is the subset of
a definition by Separation alone, with no recursion involved. For , that is , the condition is vacuous and the empty intersection is .
The family has the finite intersection property, abbreviated FIP, when
Equivalently: no finitely many members of have empty intersection.
Remarks
- The empty intersection is , and it is included above, so a family with the FIP forces (take ). Many texts state the condition only for and add "" or "" as a separate standing hypothesis. The two readings agree except when , where the reading is vacuous and this one still asks that be nonempty. Including is what makes A family lies in a filter exactly when it has the finite intersection property hold with no side condition, since the empty intersection is exactly the member that every filter must contain.
- Lists may repeat, and this is harmless: repeating a member does not change an intersection, so quantifying over lists is the same as quantifying over finite subfamilies. Lists are used rather than "finite subfamilies" because a function out of a natural number is available immediately from The natural numbers (von Neumann), whereas a general theory of finite sets is not needed anywhere here.
- The FIP is exactly the condition for a family to sit inside some filter (A family lies in a filter exactly when it has the finite intersection property): the finite intersections of form a filter base (Filter base and the filter it generates) precisely when none of them is empty, and conversely every family inside a filter inherits the property from properness (Filter on a set).
- The property is about finite intersections only. The family of tails of has the FIP, since the intersection of finitely many tails is the one with the largest starting index and no tail is empty, yet the intersection of all of them is empty, because no lies in the tail starting at . That gap between finite and infinite intersections is the whole reason filters are worth having.
Depends on
Used by
- A family lies in a filter exactly when it has the finite intersection property Lemma
- A compact metric space is complete and totally bounded, and neither implication uses any choice principle Theorem
- A metric space is compact if and only if every family of closed subsets with the finite intersection property has nonempty intersection Theorem
- A space is compact exactly when every family of closed subsets with the finite intersection property has nonempty intersection Theorem
- In a compact Hausdorff space every quasicomponent is connected, so quasicomponents and components coincide Theorem
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 13 results over 6 levels. An arrow runs from a result to what uses it, and this result sits at the bottom with a heavier outline. Click the chart to enlarge it.
Sources
- Finite intersection property (Wikipedia) (standard reference, not scraped)
- Filter (set theory) (Wikipedia) (standard reference, not scraped)
- N. Strickland, Notes on Ultrafilters (standard reference, not scraped)