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 fixed-degree Alon–Boppana lower bound
Statement
For each fixed integer , a sequence of finite -regular graphs with orders tending to infinity has largest absolute nonconstant adjacency eigenvalue at least . The error is in the growing-order limit at fixed degree. This lower bound concerns achievable expansion and does not establish any synchronization threshold.
More precisely, graphs may be arbitrary symmetric nonnegative integer adjacency-slot matrices with every row sum , including loops and repeated edges. The quantity meant is , where is the all-ones matrix and the norm is Euclidean. For , this equals , retaining every eigenvalue except one constant-vector eigenvalue . For , and no maximum over nonconstant eigenvalues is used. For every , eventually . No connectedness or nonbipartiteness is assumed.
Statement references
Facts & Assumptions
Given: The objects and hypotheses in the statement.
Goal: Establish every assertion in the statement.
For , the centered norm is the largest absolute nonconstant eigenvalue, with multiplicities retained; for , the centered norm is zero (Regular adjacency spectra and normalized expansion).
For fixed and every , eventually , for the full adjacency-slot convention (Extracting a nonconstant eigenvalue from closed-walk moments).
The Dyck-word numbers satisfy (Dyck words and elementary Catalan growth).
The asymptotic error is at fixed degree and along increasing graph order (Asymptotic quantifiers and uniform parameter ranges).
Proof
Fix and . By [F3], choose an integer such that . Keep this fixed when letting the order grow. Apply [F2] with . Beyond its order cutoff, .
Since , eventually , so [F1] identifies this with the claimed absolute nonconstant adjacency bound. If an order-one term occurs, its matrix is and its centered matrix is , giving as stated. This initial term has no effect on an eventual assertion. Equivalently put . Step 1.1 says , and , which is exactly the stated one-sided formulation. Since every helper counted actual slot labels, the conclusion includes diagonal entries counted once and parallel slots without a convention transfer. No synchronization or construction assertion was used or proved.
Source notes
The independent source is Hoory–Linial–Wigderson, Expander Graphs and Their Applications, May 2006 draft: §2.1, p. 19 allows self-loops and multiple edges; §2.4, p. 21 defines the absolute nonconstant parameter; §2.5, Theorem 2.7, p. 22 states the fixed-degree bound; §5.2.1–5.2.2, pp. 49–50 supplies the closed-walk/Catalan method and explicitly distinguishes it from the stronger second-eigenvalue bound. Those passages were read in the retained PDF. This proof uses the same moment method, but replaces the source's distant-vertices Rayleigh quotient with a trace argument and proves the Dyck-word count and slot-label injection explicitly. The fixed-loop reversal construction addresses the library's allowance of arbitrary diagonal slot counts; it does not infer that an ordinary two-incidence loop is identical to a single diagonal slot. The source is independent background and method attribution, not an outstanding imported logical premise. No complete reading of Chapter 5 or reconstruction of its stronger diameter estimate, explicit Ramanujan constructions, or other cited literature is claimed.
Depends on
Dependency tree · 2 levels
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Sources
- Hoory, Linial and Wigderson, Expander Graphs and Their Applications, May 2006 draft · §2.1 p. 19; §2.4 p. 21; §2.5 Theorem 2.7 p. 22; §5.2.1–5.2.2 pp. 49–50 (method attribution only)