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.

A centered adjacency column retains a high-degree lower bound

Statement

For a simple undirected graph without self-loops on n≥1 vertices with adjacency matrix A, a vertex u of degree D, and 0≤p≤1, let J be the all-ones matrix and Δ=A−pJ. With Euclidean operator norms, ∥Δ∥≥(1−p)D. Unlike a bound obtained by subtracting ∥pJ∥, this lower bound remains useful when np grows.

Facts & Assumptions

[F1]

The operator norm satisfies ∥B∥≥∥Beu∥2 for a coordinate unit vector eu (The operator norm is zero on the zero domain and otherwise is max_‖ v‖=1‖ Tv‖).

[F2]

For the undirected loop-free simple graph, adjacency entries are symmetric edge indicators and the degree of u is D=∑xAux=∑xAxu (Adjacency, degrees, graph Laplacian, and spectral notation). The centered adjacency matrix with reference parameter d∗=pn is A−(d∗/n)J=A−pJ (Centered graph matrices and reference degree).

Proof

Given: The objects and hypotheses in the Statement.

Goal: Prove the asserted conclusions.

1.1F2givenalgebra

The column Aeu has exactly D entries equal to one; the other n−D entries equal zero. The corresponding entries of Δeu are 1−p and −p. Therefore ∥Δeu∥22=D(1−p)2+(n−D)p2≥D(1−p)2.

2.1F1step 1.1algebra∎

Apply [F1] and take nonnegative square roots in step 1.1. Since 1−p≥0, this gives precisely the claimed inequality.

Depends on

Used by · 1

Dependency tree · 2 levels

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