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  • 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.
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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 ∥ΔA∥≤2np(1−p)+o(n−1/44) as n→∞ and infers that α=(2+ε)(pn)−1/2 can be used. Here d∗=pn>0 and ΔA=A−pJ for the simple graph G(n,p). The adjacency-expander parameter α controls the inequality ∥ΔA∥≤αd∗; the reported choice therefore requires ∥ΔA∥≤(2+ε)np for fixed ε>0. This attribution is retained as the original claim. It does not hold throughout the near-connectivity regime p=γlog⁡n/n, γ>1: the law p=3log⁡n/(2n) has a fixed leading-order spectral gap above 2np, as in the counterexample below. In particular, this law excludes the reported choice of α for every fixed 0<ε<g/2, where g=9/(25)−2>0. The fixed-law Wigner input does not justify a changing sparse law or this loop-free diagonal convention.

Facts & Assumptions

[F1]

The original equation and its attribution occur on original PDF p. 31, before the paragraph taking p=γlog⁡n/n, γ>1.

[F2]

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

[F3]

The counterexample with p=3log⁡n/(2n) proves that ∥A−pJ∥≥(2+g/2)np with high probability, where g=9/(25)−2>0. A near-threshold counterexample to the reported constant-two spectral bound

[F4]

For a loop-free graph the centered-at-mean matrix has diagonal zero, but ΔA=A−pJ has diagonal −p. Centered graph matrices and reference degree Erdős–Rényi random graph and high probability

[F5]

The adjacency-expander predicate is ∥ΔA∥≤αd∗, with ΔA=A−(d∗/n)J. At d∗=pn>0, the choice α=(2+ε)(pn)−1/2 is therefore equivalent to ∥A−pJ∥≤(2+ε)np. 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.

1.1F1F2algebra

Fact [F1] preserves the article attribution. The Wigner normalization in [F2] would turn its error o(n−6/11+ε) into o(n−1/22+ε) upon multiplying by n; choosing ε=1/44 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 p.

2.1F3F4step 1.1algebra

By [F3], the claim fails for γ=3/2, with the same loop-free graph and reference-degree centering in [F4]. Since 2np(1−p)≤2np, no o(n−1/44) 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.

3.1F3F5step 2.1algebra∎

By [F5], the reported choice of α requires ∥A−pJ∥≤(2+ε)np. For every fixed 0<ε<g/2, the event in [F3] instead gives ∥A−pJ∥≥(2+g/2)np>(2+ε)np. 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 ε 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