Eigenvalue crossings in equivariant families of matrices
Jonathan Rawlinson

TL;DR
This paper extends the mathematical understanding of eigenvalue crossings in symmetric matrices by incorporating symmetry groups, revealing new types of confluences relevant to molecular chemistry and the structure of energy level crossings.
Contribution
It generalizes Wigner and von Neumann's analysis to include symmetry, classifies confluences in molecules, and predicts new types of eigenvalue crossing phenomena.
Findings
Eigenvalue crossings are affected by symmetry, often not occurring on codimension 2 submanifolds.
Classification of confluences for triatomic and planar molecules is provided.
New types of confluence phenomena are predicted in molecular energy levels.
Abstract
According to a result of Wigner and von Neumann [1], real symmetric matrices with a doubly degenerate lowest eigenvalue form a submanifold of codimension 2 within the space of all real symmetric matrices. This mathematical result has important consequences for chemistry. First, it implies that degeneracies do not occur within generic one-parameter families of real symmetric matrices - this is the famous non-crossing rule, and is responsible for the phenomenon of avoided crossings in the energy levels of diatomic molecules. Second, it implies that energy levels are expected to cross in polyatomic molecules, with crossings taking place on a submanifold of nuclear configuration space which is codimension 2 - this submanifold is the famous conical intersection seam, of central importance in nonadiabatic chemistry. In this paper we extend the analysis of Wigner and von Neumann to include…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMatrix Theory and Algorithms · Point processes and geometric inequalities · Graph theory and applications
