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This study explores the spectra of sparse matrices and random operators, ranging from Fibonacci sequences to Anderson localization. It examines the density of linear subgraphs (chains) at the percolation point and analyzes the spectral density of ensembles of linear chains. Additionally, it investigates the asymptotic behavior of the Dedekind function and its relationship to the spectrum tail for q approaching 1. The research includes direct numeric simulations and explores topics such as isometric embedding, hyperbolic geometry, and relief construction using the Dedekind h-function.
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Native ultrametricity in random sparse systems Sergei Nechaev LPTMS, Orsay, France
Spectra of sparse matrices and random operators: from Fibonacci sequences to Anderson localization…and more Sergei Nechaev LPTMS, Orsay, France In collaboration with V. Avetisov (Moscow), P. Krapivsky (Boston)
Density of linear subgraphs (chains) at percolation point: Total cluster density: 95% subgraphs at percolation point are linear chains
Principle series of peaks Generic expression of the principle series
Degeneracy of a principle series of peaks Visibility diagram
Spectrum tail for q < 1 Lifshitz tail of 1D Anderson localization
Conjecture about asymptotic behavior of the Dedekind function and spectrum tail for q 1 Direct numeric simulations Limiting eigenvalue density Log of Dedekind h
Thomae (Dirichlet) function Static and Dynamical Phyllotaxis in Magnetic Cactus C. Nisoli et al: ArXiv: cond-mat/0702335
Attempts to squeeze the surface in the 3D space Jupe a godets
Isometric embedding of an uniform open Cayley tree Lobachevsky plane (space)
Explicit construction by conformal maps is realized by the Dedekind eta-function
Hyperbolic geometry in Nature Relief on the basis of Dedekind h-function coral