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The axiomatic power of Kolmogorov complexity

The famous Gödel incompleteness theorem states that for every consistent, recursive, and sufficiently rich formal theory T there exist true statements that are unprovable in T. Such statements would be natural candidates for being added as axioms, but how can we obtain them? One classical (and well...

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Published in:Annals of pure and applied logic 2014-09, Vol.165 (9), p.1380-1402
Main Authors: Bienvenu, Laurent, Romashchenko, Andrei, Shen, Alexander, Taveneaux, Antoine, Vermeeren, Stijn
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description The famous Gödel incompleteness theorem states that for every consistent, recursive, and sufficiently rich formal theory T there exist true statements that are unprovable in T. Such statements would be natural candidates for being added as axioms, but how can we obtain them? One classical (and well studied) approach is to add to some theory T an axiom that claims the consistency of T. In this paper we discuss another approach motivated by Chaitin's version of Gödel's theorem where axioms claiming the randomness (or incompressibility) of some strings are probabilistically added, and show that it is not really useful, in the sense that this does not help us prove new interesting theorems. This result answers a question recently asked by Lipton. The situation changes if we take into account the size of the proofs: randomly chosen axioms may help making proofs much shorter (unless NP=PSPACE). We then study the axiomatic power of the statements of type “the Kolmogorov complexity of x exceeds n” (where x is some string, and n is some integer) in general. They are Π1 (universally quantified) statements of Peano arithmetic. We show that by adding all true statements of this type, we obtain a theory that proves all true Π1-statements, and also provide a more detailed classification. In particular, as Theorem 7 shows, to derive all true Π1-statements it is enough to add one statement of this type for each n (or even for infinitely many n) if strings are chosen in a special way. On the other hand, one may add statements of this type for most x of length n (for every n) and still obtain a weak theory. We also study other logical questions related to “random axioms”. Finally, we consider a theory that claims Martin-Löf randomness of a given infinite binary sequence. This claim can be formalized in different ways. We show that different formalizations are closely related but not equivalent, and study their properties.
doi_str_mv 10.1016/j.apal.2014.04.009
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subjects Computational Complexity
Computer Science
Kolmogorov complexity
Martin-Löf randomness
Probabilistic proofs
title The axiomatic power of Kolmogorov complexity
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