A nearly-optimal method to compute the truncated theta function, its derivatives, and integrals
Ghaith Ayesh Hiary

TL;DR
This paper introduces a nearly-optimal, elementary method for efficiently computing the truncated theta function, its derivatives, and integrals using Poisson summation and modular properties, with applications to number theory.
Contribution
The paper presents a poly-logarithmic time, explicit method for computing the truncated theta function and related quantities, leveraging modular properties and Poisson summation.
Findings
Method achieves poly-log time complexity
Applicable to numerical Riemann zeta function computation
Useful for solving Waring type Diophantine equations
Abstract
A poly-log time method to compute the truncated theta function, its derivatives, and integrals is presented. The method is elementary, rigorous, explicit, and suited for computer implementation. We repeatedly apply the Poisson summation formula to the truncated theta function while suitably normalizing the linear and quadratic arguments after each repetition. The method relies on the periodicity of the complex exponential, which enables the suitable normalization of the arguments, and on the self-similarity of the Gaussian, which ensures that we still obtain a truncated theta function after each application of the Poisson summation. In other words, our method relies on modular properties of the theta function. Applications to the numerical computation of the Riemann zeta function and to finding the number of solutions of Waring type Diophantine equations are discussed.
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
TopicsAnalytic Number Theory Research · Advanced Mathematical Identities · Algebraic Geometry and Number Theory
