Physics · Primitives
Distance
Metric-axiom function d(x,y) on a space — substrate for similarity, proximity, and spatial reasoning
Definition
Mechanism
A function d(x, y) on a space that assigns a non-negative real number to each pair of points, satisfying the metric axioms: (1) non-negativity, d ≥ 0; (2) identity of indiscernibles, d(x, y) = 0 iff x = y; (3) symmetry, d(x, y) = d(y, x); (4) triangle inequality, d(x, z) ≤ d(x, y) + d(y, z). The substrate of 'how close' in any space — geographic, vector-embedding, cognitive-similarity, network-hop, graph-theoretic. Every metric space has a distance function; agents cannot redefine what metric-ness requires. Pseudo-metrics (which relax identity of indiscernibles) and quasi-metrics (which relax symmetry) are distinct descendants, not specializations of Distance itself.
Invariants
- Non-negativity: d(x, y) ≥ 0 for all x, y in the space.
- Identity of indiscernibles: d(x, y) = 0 if and only if x = y.
- Symmetry: d(x, y) = d(y, x).
- Triangle inequality: d(x, z) ≤ d(x, y) + d(y, z).
Risks
Failure modes
None stated.
Relationships
Root pattern: builds on nothing in this library.
Used by
References
Mind
Atomic fusion of two unrelated concepts into a novel third
Society
Reputation scoring via behavioral deviation from baseline (2-sigma alert)
Reference
