On the Kolmogorov complexity of continuous real functions

Kolmogorov complexity was originally defined for finitely-representable objects. Later, the definition was extended to real numbers based on the asymptotic behaviour of the sequence of the Kolmogorov complexities of the finitely-representable objects-such as rational numbers-used to approximate them...

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Main Author: Farjudian, Amin
Format: Article
Language:English
Published: Elsevier 2013
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Online Access:https://eprints.nottingham.ac.uk/56380/
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author Farjudian, Amin
author_facet Farjudian, Amin
author_sort Farjudian, Amin
building Nottingham Research Data Repository
collection Online Access
description Kolmogorov complexity was originally defined for finitely-representable objects. Later, the definition was extended to real numbers based on the asymptotic behaviour of the sequence of the Kolmogorov complexities of the finitely-representable objects-such as rational numbers-used to approximate them.This idea will be taken further here by extending the definition to continuous functions over real numbers, based on the fact that every continuous real function can be represented as the limit of a sequence of finitely-representable enclosures, such as polynomials with rational coefficients.Based on this definition, we will prove that for any growth rate imaginable, there are real functions whose Kolmogorov complexities have higher growth rates. In fact, using the concept of prevalence, we will prove that 'almost every' continuous real function has such a high-growth Kolmogorov complexity. An asymptotic bound on the Kolmogorov complexities of total single-valued computable real functions will be presented as well.
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spelling nottingham-563802019-04-01T13:20:27Z https://eprints.nottingham.ac.uk/56380/ On the Kolmogorov complexity of continuous real functions Farjudian, Amin Kolmogorov complexity was originally defined for finitely-representable objects. Later, the definition was extended to real numbers based on the asymptotic behaviour of the sequence of the Kolmogorov complexities of the finitely-representable objects-such as rational numbers-used to approximate them.This idea will be taken further here by extending the definition to continuous functions over real numbers, based on the fact that every continuous real function can be represented as the limit of a sequence of finitely-representable enclosures, such as polynomials with rational coefficients.Based on this definition, we will prove that for any growth rate imaginable, there are real functions whose Kolmogorov complexities have higher growth rates. In fact, using the concept of prevalence, we will prove that 'almost every' continuous real function has such a high-growth Kolmogorov complexity. An asymptotic bound on the Kolmogorov complexities of total single-valued computable real functions will be presented as well. Elsevier 2013-05-31 Article PeerReviewed application/pdf en https://eprints.nottingham.ac.uk/56380/1/2013-Farjudian-On_the_Kolmogorov_complexity_of_continuous_real_functions-APAL_Journal.pdf Farjudian, Amin (2013) On the Kolmogorov complexity of continuous real functions. Annals of Pure and Applied Logic, 164 (5). pp. 566-576. ISSN 0168-0072 Kolmogorov complexity; Algorithmic randomness; Computable analysis; Domain theory; Measure theory; Prevalence http://dx.doi.org/10.1016/j.apal.2012.11.003 doi:10.1016/j.apal.2012.11.003 doi:10.1016/j.apal.2012.11.003
spellingShingle Kolmogorov complexity; Algorithmic randomness; Computable analysis; Domain theory; Measure theory; Prevalence
Farjudian, Amin
On the Kolmogorov complexity of continuous real functions
title On the Kolmogorov complexity of continuous real functions
title_full On the Kolmogorov complexity of continuous real functions
title_fullStr On the Kolmogorov complexity of continuous real functions
title_full_unstemmed On the Kolmogorov complexity of continuous real functions
title_short On the Kolmogorov complexity of continuous real functions
title_sort on the kolmogorov complexity of continuous real functions
topic Kolmogorov complexity; Algorithmic randomness; Computable analysis; Domain theory; Measure theory; Prevalence
url https://eprints.nottingham.ac.uk/56380/
https://eprints.nottingham.ac.uk/56380/
https://eprints.nottingham.ac.uk/56380/