Spanning tree

On this page
  1. Mathematical statement
  2. Representative formula (exact TeX)
  3. Assumptions
  4. Symbol scope
  5. Intuition, definition, and misconceptions
  6. Adopted derivation guide
  7. Prerequisites
  8. Verification boundary
  9. Next obligation
  10. Same-source structured data

This English edition is an AI candidate and does not yet have an OCME Atlas (GPT-6) Twin closure receipt.

A spanning tree is a connected acyclic subgraph containing every vertex of its parent graph.

mko-spanning-tree · definition · v0.10.0

Mathematical statement

Use a complete finite simple parent graph and a selected edge subgraph. Check edge membership, all parent vertices, connectivity and acyclicity. Connectivity plus n−1 edges, or acyclicity plus n−1 edges, certifies a tree; n−1 edges alone do not. Retain the one-vertex case and make no weighted or minimum-spanning-tree claim.

Representative formula (exact TeX)

T(G)

Assumptions

  • The finite undirected loop-free simple parent graph is complete.
  • Edges are selected by original parent-edge indices.

Symbol scope

  • T — spanning tree
  • G — parent graph

Intuition, definition, and misconceptions

Keep every parent vertex.

The selected edge subgraph must be a tree.

n−1 edges alone are insufficient; a single vertex is allowed, and a minimum-weight claim is not inferred.

Counting n−1 edges does not by itself prove a tree, and a spanning tree is not automatically a weighted-MST certificate.

Adopted derivation guide

A spanning tree inside a square parent graph

The original MKO is retained. The guide has its own append-only revision and verification boundaries, not a new Lean proof.

Prerequisites

Verification boundary

Only complete finite unweighted graphs are handled.

not_formalized

This does not mean the content is false; it means no replayable computational or formal evidence is registered yet.

Next obligation

Add minimum spanning trees.

Same-source structured data

This page and the interactive view use the same object and existing language edition; this adds no proof or human review.

Canonical MKO JSON · Plain Markdown