License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.STACS.2017.58
URN: urn:nbn:de:0030-drops-70347
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2017/7034/
Zimand, Marius
List Approximation for Increasing Kolmogorov Complexity
Abstract
It is impossible to effectively modify a string in order to increase its Kolmogorov complexity. But is it possible to construct a few strings, not longer than the input string, so that most of them have larger complexity? We show that the answer is yes. We present an algorithm that on input a string x of length n returns a list with O(n^2) many strings, all of length n, such that 99% of them are more complex than x, provided the complexity of x is less than n. We obtain similar results for other parameters, including a polynomial-time construction.
BibTeX - Entry
@InProceedings{zimand:LIPIcs:2017:7034,
author = {Marius Zimand},
title = {{List Approximation for Increasing Kolmogorov Complexity}},
booktitle = {34th Symposium on Theoretical Aspects of Computer Science (STACS 2017)},
pages = {58:1--58:12},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-028-6},
ISSN = {1868-8969},
year = {2017},
volume = {66},
editor = {Heribert Vollmer and Brigitte ValleĢe},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2017/7034},
URN = {urn:nbn:de:0030-drops-70347},
doi = {10.4230/LIPIcs.STACS.2017.58},
annote = {Keywords: Kolmogorov complexity, list approximation, randomness extractor}
}
Keywords: |
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Kolmogorov complexity, list approximation, randomness extractor |
Collection: |
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34th Symposium on Theoretical Aspects of Computer Science (STACS 2017) |
Issue Date: |
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2017 |
Date of publication: |
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06.03.2017 |