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.
The lattice generated by the constants and the distance functions is dense on every compact metric space
Example
Let be a compact metric space. Let be the smallest real vector sublattice of containing every constant function and every distance function Then is uniformly dense in : for every and every there is with for every . When is nonempty this is density for the topology of uniform convergence.
Facts & Assumptions
Given: A compact metric space and the real vector sublattice generated by constants and the distance functions .
On a compact Hausdorff space, a unital point-separating real vector sublattice contains, for every and every , a member within of at every point; for nonempty this is density for the topology of uniform convergence (Lattice Stone–Weierstrass theorem on a compact Hausdorff space).
A unital real vector sublattice contains all constants and separates points when every distinct pair is distinguished by one member (Unital point-separating real vector sublattices of ).
A metric satisfies exactly when , symmetry, and (Metric space: iff , symmetry, and the triangle inequality; pseudometric and ultrametric).
A metric space is compact if and only if it is compact as a topological space in its metric topology (For a metric space with its metric topology, compactness in the topological sense is compactness in the metric sense, and the two notions of compact subset coincide, clause 1).
Every metric space is Hausdorff: distinct points are separated by disjoint open balls (Distinct points of a metric space have disjoint balls around them).
Verification
By [L4] and [L5], the metric topology makes a compact Hausdorff space.
For , the triangle inequality and symmetry in [L3] give and ; hence , so every is continuous.
The generated lattice is unital by construction. If , then while by [L3], so separates and ; thus is point-separating in the sense of [L2].
Apply [L1] to the unital point-separating real vector sublattice on the compact Hausdorff space of step 1.1.
Depends on
- Lattice Stone–Weierstrass theorem on a compact Hausdorff space
- Unital point-separating real vector sublattices of $C(X,\mathbb R)$
- Metric space: $d(x,y) = 0$ iff $x = y$, symmetry, and the triangle inequality; pseudometric and ultrametric
- For a metric space with its metric topology, compactness in the topological sense is compactness in the metric sense, and the two notions of compact subset coincide
- Distinct points of a metric space have disjoint balls around them
Used by
Nothing in the library uses this result yet.
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 72 results over 17 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
- E. Carlen, Notes on Topology and the Stone-Weierstrass Theorem, Lemma 1.27 (standard reference, not scraped)