Verified Real Number Calculations: A Library for Interval Arithmetic
Marc Daumas (LIRMM, Eliaus), David Lester (UNIVERSITY of Manchester),, C\'esar Mu\~noz (NIA)

TL;DR
This paper introduces a formally verified library for interval arithmetic that enables automated and interactive real number calculations within theorem provers, improving the reliability of numerical proofs.
Contribution
It develops a formal, verified approach to interval arithmetic with techniques to reduce dependency effects, facilitating reliable real number calculations in proof assistants.
Findings
Formal bounds for elementary functions established
Interval splitting and Taylor series reduce dependency effects
Automated strategies for real number calculations implemented
Abstract
Real number calculations on elementary functions are remarkably difficult to handle in mechanical proofs. In this paper, we show how these calculations can be performed within a theorem prover or proof assistant in a convenient and highly automated as well as interactive way. First, we formally establish upper and lower bounds for elementary functions. Then, based on these bounds, we develop a rational interval arithmetic where real number calculations take place in an algebraic setting. In order to reduce the dependency effect of interval arithmetic, we integrate two techniques: interval splitting and taylor series expansions. This pragmatic approach has been developed, and formally verified, in a theorem prover. The formal development also includes a set of customizable strategies to automate proofs involving explicit calculations over real numbers. Our ultimate goal is to provide…
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
TopicsNumerical Methods and Algorithms · Logic, programming, and type systems · Mathematics, Computing, and Information Processing
