A Characterization of Polynomial Time Computable Functions from the Integers to the Reals Using Discrete Ordinary Differential Equations

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Abstract

The class of functions from the integers to the integers computable in polynomial time has been recently characterized using discrete ordinary differential equations (ODE), also known as finite differences. Doing so, the fundamental role of linear (discrete) ODEs and classical ODE tools such as changes of variables to capture computability and complexity measures, or as a tool for programming was pointed out. In this article, we extend the approach to a characterization of functions from the integers to the reals computable in polynomial time in the sense of computable analysis. In particular, we provide a characterization of such functions in terms of the smallest class of functions that contains some basic functions, and that is closed by composition, linear length ODEs, and a natural effective limit schema.

Original languageEnglish
Title of host publicationMachines, Computations, and Universality - 9th International Conference, MCU 2022, Proceedings
EditorsJérôme Durand-Lose, György Vaszil
PublisherSpringer Science and Business Media Deutschland GmbH
Pages58-74
Number of pages17
ISBN (Print)9783031135019
DOIs
Publication statusPublished - 1 Jan 2022
Event9th International Conference on Machines, Computations, and Universality, MCU 2022 - Debrecen, Hungary
Duration: 31 Aug 20222 Sept 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13419 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Machines, Computations, and Universality, MCU 2022
Country/TerritoryHungary
CityDebrecen
Period31/08/222/09/22

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