Friedman's adjacency and Markov operator conjecture for random graph coverings

Let Ω\Omega be a finite connected graph, let Γ\Gamma be a random nn-covering of Ω\Omega, and let λA(Γ)\lambda_A(\Gamma) and λM(Γ)\lambda_M(\Gamma) denote the largest absolute values of the non-trivial eigenvalues of the adjacency operator and Markov operator, respectively. Let ρA(Ω)\rho_A(\Omega) and ρM(Ω)\rho_M(\Omega) be the spectral radii of the corresponding operators on the universal cover of Ω\Omega. Friedman's graph-covering spectral conjecture. For every ε>0\varepsilon>0, asymptotically almost surely,

λA(Γ)<ρA(Ω)+ε\lambda_A(\Gamma)<\rho_A(\Omega)+\varepsilon

and likewise

λM(Γ)<ρM(Ω)+ε.\lambda_M(\Gamma)<\rho_M(\Omega)+\varepsilon.

The adjacency-operator assertion is attributed to Friedman, and the Markov-operator assertion is proposed as an extension. The source presents the combined statement as a conjecture; the paper establishes weaker nearly optimal bounds rather than these exact inequalities.

Sources & referencesView supporting material

Primary source

Doron Puder, “Expansion of Random Graphs: New Proofs, New Results”, arXiv:1212.5216 (2015).

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