Smooth critical points of eigenvalues on the torus of magnetic perturbations of graphs

Motivated by the nodal distribution universality conjecture for discrete operators on graphs and by the spectral analysis of their maximal abelian covers, we consider a family of Hermitian matrices $h_α$ obtained by varying the complex phases of individual matrix elements. This family is parametrized by a $β$-dimensional torus, where $β$ is the first Betti number of the underlying graph. The eigenvalues of each matrix are ordered, enabling us to treat the $k$-th eigenvalue $λ_k$ as a function on the torus. We classify the smooth critical points of $λ_k$, describe their structure and Morse index in terms of the support and nodal count, that is, the number of sign changes between adjacent vertices of the corresponding eigenvector. In general, the families under consideration exhibit critical submanifolds rather than isolated critical points. These critical manifolds appear frequently and cannot be removed through perturbations. We provide an algorithmic way of determining all critical submanifolds by investigating finitely many eigenvalue problems: the $2^β$ real symmetric matrices $h_α$ in the family under consideration as well as their principal minors.

Publication Details

Journal
ArXiv.org
Published
2025-05-22
Primary Topic
Spectral Theory in Mathematical Physics
Type
article
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article

Smooth critical points of eigenvalues on the torus of magnetic perturbations of graphs

ArXiv.org
Spectral Theory in Mathematical Physics
article

Smooth critical points of eigenvalues on the torus of magnetic perturbations of graphs

article en

Abstract

Motivated by the nodal distribution universality conjecture for discrete operators on graphs and by the spectral analysis of their maximal abelian covers, we consider a family of Hermitian matrices $h_α$ obtained by varying the complex phases of individual matrix elements. This family is parametrized by a $β$-dimensional torus, where $β$ is the first Betti number of the underlying graph. The eigenvalues of each matrix are ordered, enabling us to treat the $k$-th eigenvalue $λ_k$ as a function on the torus. We classify the smooth critical points of $λ_k$, describe their structure and Morse index in terms of the support and nodal count, that is, the number of sign changes between adjacent vertices of the corresponding eigenvector. In general, the families under consideration exhibit critical submanifolds rather than isolated critical points. These critical manifolds appear frequently and cannot be removed through perturbations. We provide an algorithmic way of determining all critical submanifolds by investigating finitely many eigenvalue problems: the $2^β$ real symmetric matrices $h_α$ in the family under consideration as well as their principal minors.

ArXiv.org
Openalex Percentile: Top 47%
Spectral Theory in Mathematical Physics
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