Deformation of Matrix Geometry via Landau Level Evolution
Kazuki Hasebe
TL;DR
This work develops a unitarity-preserving, non-perturbative scheme to deform matrix geometries by following spectral flow between Landau-model realizations on symmetric and non-symmetric manifolds. Matrix coordinates are constructed explicitly from Landau-level eigenstates, with the deformation parameter guiding a continuous transition from a fuzzy sphere to ellipsoidal geometries, including both non-relativistic and relativistic (Dirac) Landau models. Key results include explicit ellipsoidal matrix geometries per Landau level, preservation of the zeroth-mode index in line with the Atiyah-Singer theorem, and a clear quantitative distinction between ellipsoidal matrix geometries and fuzzy ellipsoids. The framework provides practical tools for analyzing non-symmetric non-commutative spaces and has potential extensions to higher dimensions and topology-aware deformations.
Abstract
We propose a scheme for the construction of deformed matrix geometries using Landau models. The Landau models are practically useful tools to extract matrix geometries. The level projection method however cannot be applied straightforwardly to the Landau models on deformed manifolds, as they do not generally exhibit degenerate energy levels. We overcome this problem by exploiting the idea of spectral flow. Taking a symmetric matrix geometry as a reference point of the spectral flow, we evolve the matrix geometry by deforming the Landau model. In this process, unitarity is automatically preserved. The explicit matrix realization of the coordinates is derived mechanically even for a non-perturbative deformation. We clarify basic properties of the deformed matrix geometries through a concrete analysis of the non-relativistic and relativistic Landau models on expanding two-sphere and elongating ellipsoid. The obtained ellipsoidal matrix geometries show behaviors quantitatively different in each Landau level, but qualitatively similar to their classical counterpart. We also numerically investigate the differences between the ellipsoidal matrix geometry and the fuzzy ellipsoid.
