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.
The reported centered-adjacency estimate and its sparse-law limit
PDF p. 31: Section 6, equation (6.1)
Statement
The article attributes to Peche and Soshnikov the high-probability estimate as and infers that can be used. Here and for the simple graph . The adjacency-expander parameter controls the inequality ; the reported choice therefore requires for fixed . This attribution is retained as the original claim. It does not hold throughout the near-connectivity regime , : the law has a fixed leading-order spectral gap above , as in the counterexample below. In particular, this law excludes the reported choice of for every fixed , where . The fixed-law Wigner input does not justify a changing sparse law or this loop-free diagonal convention.
Statement references
Erdős–Rényi random graph and high probability
Centered graph matrices and reference degree
Adjacency spectral expander — Definition 1.3
Asymptotic quantifiers and uniform parameter ranges
A fixed-law Wigner spectral-edge input
A near-threshold counterexample to the reported constant-two spectral bound
Facts & Assumptions
The original equation and its attribution occur on original PDF p. 31, before the paragraph taking , .
The independent Wigner supplier fixes a compactly supported entry law, its variance and moment envelope, and uses independent identically distributed entries including the diagonal. A fixed-law Wigner spectral-edge input
The counterexample with proves that with high probability, where . A near-threshold counterexample to the reported constant-two spectral bound
For a loop-free graph the centered-at-mean matrix has diagonal zero, but has diagonal . Centered graph matrices and reference degree Erdős–Rényi random graph and high probability
The adjacency-expander predicate is , with . At , the choice is therefore equivalent to . Adjacency spectral expander — Definition 1.3 Centered graph matrices and reference degree
Proof
Given: The data and hypotheses in the Statement.
Goal: Establish the stated conclusions.
Fact [F1] preserves the article attribution. The Wigner normalization in [F2] would turn its error into upon multiplying by ; choosing explains the exponent in the reported formula. This computation still requires a fixed law and the stated diagonal assumptions, and supplies no theorem uniform in a vanishing .
By [F3], the claim fails for , with the same loop-free graph and reference-degree centering in [F4]. Since , no error can close that positive leading-order gap. Thus the reported formula and its constant-two consequence cannot be used throughout the stated near-threshold regime. The original claim remains covered by its attribution and the explicit counterexample, rather than being silently weakened.
By [F5], the reported choice of requires . For every fixed , the event in [F3] instead gives . Thus the probability of the reported adjacency-expander predicate tends to zero for this law. This identifies the constant-two choices excluded by the counterexample without claiming that every positive is excluded.
Source notes
This is a local authoring correction with explicit independent source support for its counterexample. The fixed-law source remains correctly bounded to its original hypotheses. No conclusion about the article synchronization theorems follows from this spectral counterexample: those statements and their other arguments remain separate obligations. The article-report concern remains a lead for the independent final original-PDF assessor.
Depends on
Dependency tree · 2 levels
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Sources
- Expander graphs are globally synchronizing · PDF p. 31, Section 6, equation (6.1) and the following p=gamma log n/n paragraph; p. 6 for centering