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.
Random graph process and connectivity hitting time
PDF p. 38: Section 7, second paragraph
Definition
Assume countable choice. Let be an integer, let , and put and . A graph on has an edge set contained in ; it is connected if every pair of vertices is joined by a finite path of edges. An edge in that is not in the graph is called missing.
Choose an ordering uniformly from the orderings of . The random graph process has vertex set and edge set at time , with the empty set at . Thus, conditional on any revealed ordering of the first edges, the next edge is uniformly chosen from the missing edges. Its connectivity hitting time is .
Definition references
Facts & Assumptions
The finite edge-order construction gives each ordering probability and, conditional on a specified initial ordered segment of length , gives each remaining edge probability of being next (Uniform edge orderings, graph-process times and independent labels).
A finite undirected graph is represented by its vertex and edge sets, with the stated simple graph convention as a special case (Adjacency, degrees, graph Laplacian, and spectral notation).
Countable choice is assumed in the edge-order supplier's construction (The Axiom of Countable Choice (AC_ω), Uniform edge orderings, graph-process times and independent labels).
Justification
Given: An integer and the finite uniform edge ordering under countable choice.
Goal: Verify that the process and its connectivity hitting time are well defined and have the stated transition rule.
1.1 The set has one element for each pair , so it has elements. Each prefix of an ordering is a subset of and therefore defines a graph on ; the prefix of length zero is empty. By the uniform-order construction, conditional on any specified prefix of length , each of the missing edges is next with probability . Thus the stated transition rule holds. [F1, F2, F3, given]
2.1 At time every pair of distinct vertices is an edge, so the graph is connected: distinct vertices are joined by a one-edge path, and the one-vertex case is vacuous. Consequently the set of connected times is a nonempty subset of the finite set and has a least element. This establishes , including when . [given, step 1.1] ∎
Source notes
The process and hitting-time notation are attributed to Expander graphs are globally synchronizing, Section 7, second paragraph. The article is attribution for this formulation, not a premise of the justification.
Depends on
Dependency tree · 2 levels
Each result is drawn at its shortest distance from this item. Arrows run from prerequisites to the items that use them; this item has a heavier outline. External source nodes link directly to the cited text. The view shows up to two dependency steps; open a prerequisite to continue.
Sources
- Expander graphs are globally synchronizing · PDF p. 38, Section 7, second paragraph