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Discrete Mathematics & Theoretical Computer Science
Article . 2006 . Peer-reviewed
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Article . 2006
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https://doaj.org/article/687eb...
Article . 2006
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DBLP
Article . 2006
Data sources: DBLP
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On the computability of the topological entropy of subshifts

Authors: Jakob Grue Simonsen;

On the computability of the topological entropy of subshifts

Abstract

We prove that the topological entropy of subshifts having decidable language is uncomputable in the following sense: For no error bound less than 1/4 does there exists a program that, given a decision procedure for the language of a subshift as input, will approximate the entropy of the subshift within the error bound. In addition, we prove that not only is the topological entropy of sofic shifts computable to arbitary precision (a well-known fact), but all standard comparisons of the topological entropy with rational numbers are decidable.

Related Organizations
Keywords

[INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM], QA1-939, [INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM], Mathematics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Average
Top 10%
Top 10%
Green
Published in a Diamond OA journal