Eigenfunction and noise-profile localization conjecture
Eigenfunction and noise-profile localization conjecture
Let . For each , let be the corresponding eigenfunction, let be a point where reaches its global maximum, and let be the unique radial positive solution on of
Set and . Eigenfunction localization conjecture. For any , the following convergence holds in probability as :
This predicts that, after centering at a maximum and rescaling by the localization scale , every fixed eigenfunction has the universal profile , while the rescaled noise converges to the corresponding squared profile. The source gives the optimizer characterization of and the identity , but does not state that this conjecture has been proved or refuted.
Sources & referencesView supporting material
Primary source
Yueh-Sheng Hsu and Cyril Labbé, “Asymptotic of the smallest eigenvalues of the continuous Anderson Hamiltonian in d 3”, arXiv:2108.12230 (2022).
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