Covariance of Error Terms Related to the Dirichlet Eigenvalue Problem
Noam Kimmel

TL;DR
This paper investigates the covariance of error terms in Weyl's conjecture for Dirichlet eigenvalues, providing formulas for general planar domains and specific cases like rectangles and triangles, linking spectral problems to lattice point counting.
Contribution
It introduces explicit formulas for the covariance of eigenvalue error terms in planar domains, including short interval cases and specific shapes like rectangles and triangles.
Findings
Derived covariance formulas for general planar domains.
Analyzed covariance of error terms in short intervals.
Computed covariance between eigenvalue errors of specific shapes.
Abstract
We explore the covariance of error terms coming from Weyl's conjecture regarding the number of Dirichlet eigenvalues up to size . We also consider this problem in short intervals, i.e. the error term of the number of eigenvalues in the window for some . We look at these error terms for planar domains where the Dirichlet eigenvalues can be explicitly calculated. In these cases, the error term is closely related to the error term from the classical lattice points counting problem of expanding planar domains. We give a formula for the covariance of such error terms, for general planar domains. We also give a formula for the covariance of error terms in short intervals, for sufficiently large intervals. Going back to the Dirichlet eigenvalue problem, we give results regarding the covariance of the error terms in short intervals of 'generic' rectangles. We also explore a…
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
TopicsQuantum chaos and dynamical systems · Mathematical Dynamics and Fractals · Quasicrystal Structures and Properties
