Alphabeta Math
LemmaStatement: AI-generatedProof: AI-generated
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.

Exponential clocks and the uniform edge-order process

Statement

Assume countable choice and use independent uniform edge labels Ue∈[0,1) for the possible edges of a graph on n≥2 vertices. Set Te=−log⁡(1−Ue) and p(t)=1−e−t for t≥0. The clocks are independent and satisfy P(Te≤t)=p(t); a rate-one exponential clock means precisely this distribution. The graph Ht containing edges with Te≤t equals Gp(t). Almost surely all clocks are finite and distinct, and their edge ordering is uniform. If sm is the time the mth edge appears, then Hsm=G(n,m) for 1≤m≤N=(n2). Hence an assertion holding for every real t≥sτ holds for every indexed graph G(n,m) with m≥τ, where τ is the connectivity index.

Facts & Assumptions

[F1]

Independent uniform labels give the threshold graphs and almost surely a uniform strict ordering of all edges; the first-connected index is bounded and connectivity persists under edge addition (Uniform edge orderings, graph-process times and independent labels).

[F2]

The natural logarithm is the inverse of the exponential by The natural logarithm as the inverse of the exponential function; it is strictly increasing and satisfies log⁡1=0 by Order, continuity, range, and the product, quotient, and reciprocal laws for the natural logarithm.

[F3]

A real-valued function on a measurable space is measurable if and only if every lower threshold set {x:f(x)≤a}, for real a, is measurable (Threshold characterisations of real-valued and extended-real-valued measurability).

Proof

Given: The objects and hypotheses in the statement.

Goal: Establish all stated claims.

1.1givenF2algebra

Write g(u)=−log⁡(1−u) for 0≤u<1. Since 0<1−u≤1, g(u) is finite and nonnegative. It is strictly increasing: if u<v, then 1−u>1−v>0, so −log⁡(1−u)<−log⁡(1−v). For t≥0, logarithm inversion and monotonicity give g(u)≤t exactly when u≤1−e−t, with 0≤1−e−t<1.

2.1F1F3step 1.1

Give [0,1) its Borel sigma-algebra. For any real a<0, {u:g(u)≤a}=∅; for a≥0, this set is [0,1−e−a], a Borel subset of [0,1). Hence [F3] makes g Borel measurable. For every Borel set B⊆R, the event {Te∈B}={Ue∈g−1(B)} is measurable because Ue is a random label and g−1(B) is Borel. Thus each Te is a random variable. For distinct edges e1,…,ek and arbitrary Borel sets B1,…,Bk, independence of the labels gives P(⋂j=1k{Tej∈Bj})=P(⋂j=1k{Uej∈g−1(Bj)})=∏j=1kP(Uej∈g−1(Bj))=∏j=1kP(Tej∈Bj). This proves independence for all Borel clock events.

3.1F1step 1.1step 2.1

For t≥0, the threshold equivalence gives P(Te≤t)=P(Ue≤p(t))=p(t) by the uniform threshold law in [F1]. Edge by edge it also gives Ht=Gp(t) for every t≥0.

4.1step 1.1step 3.1F1∎

The transformation from labels to clocks is strictly increasing, so it preserves their strict order outside the label-tie event of probability zero. At the mth arrival, precisely the first m edges have appeared. Connectedness is preserved thereafter, so sτ is the first connected clock time, and substituting t=sm≥sτ proves every indexed assertion. This argument evaluates a single pathwise assertion and uses no union bound at random times.

Depends on

Used by · 3

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.