Characterizing the support of semiclassical measures for higher-dimensional cat maps
Elena Kim, Theresa C. Anderson, Robert J. Lemke Oliver

TL;DR
This paper investigates the support of semiclassical measures for higher-dimensional quantum cat maps, establishing conditions under which these measures have full support and providing examples of measures supported on specific subtori.
Contribution
It proves that irreducibility of characteristic polynomials implies full support of semiclassical measures in higher dimensions, extending previous results and providing new examples.
Findings
Full support for semiclassical measures under irreducibility conditions.
Generic irreducibility of characteristic polynomials for most matrices.
Existence of semiclassical measures supported on unions of symplectic subtori.
Abstract
Quantum cat maps are toy models in quantum chaos associated to hyperbolic symplectic matrices . The macroscopic limits of sequences of eigenfunctions of a quantum cat map are characterized by semiclassical measures on the torus . We show that if the characteristic polynomial of every power is irreducible over the rationals, then every semiclassical measure has full support. The proof uses an earlier strategy of Dyatlov-J\'ez\'equel [arXiv:2108.10463] and the higher-dimensional fractal uncertainty principle of Cohen [arXiv:2305.05022]. Our irreducibility condition is generically true, in fact we show that asymptotically for of matrices , the Galois group of the characteristic polynomial of is . When the irreducibility condition does not hold, we show that a semiclassical measure…
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
TopicsTopological and Geometric Data Analysis · Mathematical Dynamics and Fractals
