Alphabeta Math
DefinitionDefinition: Literature-sourcedProof: Not applicableSession-authored (Fable 5 assisted)judge pass (deepseek-v4-pro + gpt-5.6-terra)audited 2026-08-26
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.

Coarsely dense subsets, quasi-inverses and quasi-isometries

Definition

Let (X,dX) and (Y,dY) be metric spaces.

A subset AY is coarsely dense in Y if there is a real R0 such that for every yY there is an aA with dY(y,a)R. Thus every point of Y lies within one uniform bound of an actual point of A. When A is nonempty this is equivalent, after enlarging the bound if necessary, to boundedness of the point-to-set distance from Bounded subset, diameter, distance from a point to a set, and distance between two sets in a metric space. The quantified form also covers the empty space without invoking the undefined expression d(y,).

Let f:XY and g:YX be coarse Lipschitz maps. Then g is a quasi-inverse of f if both composites gf and idX, and fg and idY, are at bounded distance in the sense of Bounded distance between two maps into a metric space.

A quasi-isometry is a coarse Lipschitz map that admits a coarse Lipschitz quasi-inverse. Two metric spaces are quasi-isometric if some quasi-isometry between them exists.

Depends on

Used by

Dependency tree · two levels

19 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