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Spectral gap of $G(n, αn, α^2 n)$ graphs and the giant component theorem

M. Koshelev, A. Raigorodskii

TL;DR

The paper analyzes the spectrum of Johnson graphs in the perturbed regime $G(n,\alpha n+f_r(n), \alpha^2 n+f_s(n))$ and derives a sharp upper bound on the nontrivial eigenvalues in terms of $f_r(n)$ and $f_s(n)$: $\lambda\left(G\left(n,\alpha n+f_r(n), \alpha^2 n+f_s(n)\right)\right) = O\left( \frac{\max\{1, |f_s(n)-2\alpha f_r(n)|, f_r^2(n)/n\}}{n} d\left(G\left(n,\alpha n+f_r(n), \alpha^2 n+f_s(n)\right)\right)\right)$. The proof builds on a Kos–Eig lemma to bound $E_{r-s}(i)$ via combinatorial coefficients, followed by a trace argument on $A^2$ to relate eigenvalues to these bounds. This spectral control enables applying a general $(n,d,\lambda)$-graph giant-component framework, yielding a giant-component theorem for $G(n,\alpha n+f_r(n), \alpha^2 n+f_s(n))$: for $0<\alpha<1$ all components are small, and for $\alpha>1$ a single giant component of size $(1+o(1))(1-\overline{\alpha}/\alpha)N_n$ appears, with $N_n=\binom{n}{\alpha n+f_r(n)}$. Overall, the work extends spectral-gap techniques to a broad class of perturbed Johnson graphs and provides a concrete threshold for giant-component emergence in this family.

Abstract

The spectrum of a graph $G$ is the set of the eigenvalues of its adjacency matrix. It turns out that one can say a lot about a graph with the only knowledge being the spectrum of this graph. In this paper we obtain new results about the spectrum of $G(n, αn, α^2 n)$ graphs. We then apply these results to get a giant component theorem for them.

Spectral gap of $G(n, αn, α^2 n)$ graphs and the giant component theorem

TL;DR

The paper analyzes the spectrum of Johnson graphs in the perturbed regime and derives a sharp upper bound on the nontrivial eigenvalues in terms of and : . The proof builds on a Kos–Eig lemma to bound via combinatorial coefficients, followed by a trace argument on to relate eigenvalues to these bounds. This spectral control enables applying a general -graph giant-component framework, yielding a giant-component theorem for : for all components are small, and for a single giant component of size appears, with . Overall, the work extends spectral-gap techniques to a broad class of perturbed Johnson graphs and provides a concrete threshold for giant-component emergence in this family.

Abstract

The spectrum of a graph is the set of the eigenvalues of its adjacency matrix. It turns out that one can say a lot about a graph with the only knowledge being the spectrum of this graph. In this paper we obtain new results about the spectrum of graphs. We then apply these results to get a giant component theorem for them.

Paper Structure

This paper contains 4 sections, 9 theorems, 15 equations.

Key Result

Theorem 1.1

The set of eigenvalues of $G(n, r, s), r \leq n/2$ coincides with the set $\{E_{r - s}(i), 0 \leq i \leq r\}$, where Moreover, the multiplicity of $E_{r - s}(i)$ is equal to $\binom{n}{i} - \binom{n}{i - 1}$. Note that in these formulas some of the binomial coefficients $\binom{n}{k}$ might have either $k < 0$ or $k > n$. In this case we assume them to be equal to zero.

Theorems & Definitions (16)

  • Definition 1.1
  • Definition 1.2
  • Theorem 1.1: Spectrum
  • Theorem 1.2: LovLambda
  • Theorem 1.3: Brouwer
  • Theorem 1.4
  • Theorem 1.5
  • Remark
  • Theorem 2.1
  • Lemma 3.1
  • ...and 6 more