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

  1. Non-negativity: d(x, y) ≥ 0 for all x, y in the space.
  2. Identity of indiscernibles: d(x, y) = 0 if and only if x = y.
  3. Symmetry: d(x, y) = d(y, x).
  4. 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

ConceptBlend

Atomic fusion of two unrelated concepts into a novel third

Society

DriftWatch

Reputation scoring via behavioral deviation from baseline (2-sigma alert)

Reference

Identity

Ref
Distance#dfdf
Sema ID
sema:Distance#mh:SHA-256:dfdfe0610f91741e27f87042fc396eab765c4e48aa20fdfc0dfa7152d1333893
Ring
0
Tier
1
Updated
2026-11-11