Computation and properties of the Epstein zeta function with high-performance implementation in EpsteinLib
Andreas A. Buchheit, Jonathan Busse, Ruben Gutendorf

TL;DR
This paper develops a rigorous, efficient computational framework for the Epstein zeta function, including a high-performance C library, enabling advanced applications in quantum materials and multidimensional physics.
Contribution
It introduces a novel, compact representation and a superexponentially convergent algorithm for the Epstein zeta function, along with a high-performance implementation in EpsteinLib.
Findings
Achieved full precision computation across all parameters.
Enabled rapid evaluation of integrals involving the Epstein zeta function.
Applied to quantum dispersion relations and Casimir energies, revealing higher-order corrections.
Abstract
The Epstein zeta function generalizes the Riemann zeta function to oscillatory lattice sums in higher dimensions. Beyond its numerous applications in pure mathematics, it has recently been identified as a key component in simulating exotic quantum materials. This work establishes the Epstein zeta function as a powerful tool in numerical analysis by rigorously investigating its analytical properties and enabling its efficient computation. Specifically, we derive a compact and computationally efficient representation of the Epstein zeta function and thoroughly examine its analytical properties across all arguments. Furthermore, we introduce a superexponentially convergent algorithm, complete with error bounds, for computing the Epstein zeta function in arbitrary dimensions. We also show that the Epstein zeta function can be decomposed into a power law singularity and an analytic function…
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.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCoding theory and cryptography
