## Franziskus Wiesnet ; Nils Köpp - Limits of real numbers in the binary signed digit representation

lmcs:7310 - Logical Methods in Computer Science, August 19, 2022, Volume 18, Issue 3 - https://doi.org/10.46298/lmcs-18(3:24)2022
Limits of real numbers in the binary signed digit representationArticle

Authors: Franziskus Wiesnet ; Nils Köpp

We extract verified algorithms for exact real number computation from constructive proofs. To this end we use a coinductive representation of reals as streams of binary signed digits. The main objective of this paper is the formalisation of a constructive proof that real numbers are closed with respect to limits. All the proofs of the main theorem and the first application are implemented in the Minlog proof system and the extracted terms are further translated into Haskell. We compare two approaches. The first approach is a direct proof. In the second approach we make use of the representation of reals by a Cauchy-sequence of rationals. Utilizing translations between the two represenation and using the completeness of the Cauchy-reals, the proof is very short. In both cases we use Minlog's program extraction mechanism to automatically extract a formally verified program that transforms a converging sequence of reals, i.e.~a sequence of streams of binary signed digits together with a modulus of convergence, into the binary signed digit representation of its limit. The correctness of the extracted terms follows directly from the soundness theorem of program extraction. As a first application we use the extracted algorithms together with Heron's method to construct an algorithm that computes square roots with respect to the binary signed digit representation. In a second application we use the convergence theorem to show that the signed digit representation of real numbers is closed under multiplication.

Volume: Volume 18, Issue 3
Published on: August 19, 2022
Accepted on: June 7, 2022
Submitted on: March 30, 2021
Keywords: Mathematics - Logic
Funding:
Source : OpenAIRE Graph
• Computing with Infinite Data; Funder: European Commission; Code: 731143