Kolmogorov complexity: Difference between revisions

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The notion of Kolmogorov complexity can be used to state and [[Proof of impossibility|prove impossibility]] results akin to [[Cantor's diagonal argument]], [[Gödel's incompleteness theorem]], and [[halting problem|Turing's halting problem]].
In particular, no program ''P'' computing a [[lower bound]] for each text's Kolmogorov complexity can return a value essentially larger than ''P''<nowiki>'</nowiki>s own length (see section {{slink||Chaitin's incompleteness theorem}}); hence no single program can compute the exact Kolmogorov complexity for infinitely many texts. Kolmogorov complexity is the length of the ultimately compressed version of a file (i.e., anything which can be put in a computer). Formally, it is the length of a shortest program from which the file can be reconstructed. WeWhile discussKolmogorov thecomplexity incomputabilityis ofuncomputable, Kolmogorovvarious complexity,approaches whichhave formalbeen loopholesproposed thisand leavesreviewed.<ref usname="zenil20202">{{cite with,journal recent|last1=Zenil approaches|first1=Hector to|year=2020 compute|title=A orReview approximateof KolmogorovMethods complexity,for whichEstimating approachesAlgorithmic areComplexity: problematicOptions, Challenges, and whichNew approachesDirections are|url=https://www.mdpi.com/1099-4300/22/6/612 viable|journal=Entropy |volume=22 |issue=6 |pages=612 |doi=10.3390/e22060612 |access-date=2024-11-25}}</ref><ref>{{Cite journal |last=Vitányi |first=Paul M. B. |date=April 2020 |title=How Incomputable Is Kolmogorov Complexity? |journal=Entropy |language=en |volume=22 |issue=4 |pages=408 |doi=10.3390/e22040408 |doi-access=free |pmid=33286182 |pmc=7516884 |arxiv=2002.07674 |bibcode=2020Entrp..22..408V |issn=1099-4300}}</ref>
 
==Definition==