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Internal-edge mixing bound — Lemma 3.3
PDF p. 19: Lemma 3.3
Statement
Let be an -expander, and let . Then
Here counts ordered adjacency entries, so a non-loop edge internal to contributes twice and a loop in contributes once.
Statement references
Facts & Assumptions
The expander has a nonempty finite vertex set of size , adjacency matrix , all-ones matrix , and centered adjacency matrix satisfying (Adjacency spectral expander — Definition 1.3).
The ordered count is , including diagonal entries (Oriented edge count between sets).
The vertex inner product is , with induced norm and matrix action by finite row sums (Finite vertex Hilbert space in the article convention). The operator norm is the supremum of over nonzero (Loewner order, Hermitian inner product, and operator norm).
Cauchy–Schwarz gives ; the vertex-space convention transfers the cited linear-first version by conjugation (Cauchy–Schwarz: |⟨ u,v⟩|≤‖ u‖‖ v‖, with equality exactly for linearly dependent vectors, Finite vertex Hilbert space in the article convention).
Proof
Given: An -expander and .
Goal: Establish the two displayed inequalities.
Proof technique: direct.
Let be the indicator function, equal to on and outside it. The coordinate sums give , , and . Hence .
If , then ; otherwise the operator-norm definition gives . Thus Cauchy–Schwarz and the expander bound yield . The quantity in step 1.1 is real, so the absolute-value inequality is exactly the two claimed bounds.
Source notes
The statement and indicator-vector method are attributed to Expander graphs are globally synchronizing, Lemma 3.3. The proof above derives the bound from the stated mathematical suppliers.
Depends on
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Sources
- Expander graphs are globally synchronizing · PDF p. 19, Lemma 3.3 and proof