Lecture Notes in Computer Science, 1998, Volume 1450/1998, 732-739, DOI: 10.1007/BFb0055824

Comparison between the complexity of a function and the complexity of its graph

Bruno Durand and Sylvain Porrot

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Abstract

This paper investigates in terms of Kolmogorov complexity the differences between the information necessary to compute a recursive function and the information contained in its graph. Our first result is that the complexity of the initial parts of the graph of a recursive function, although bounded, has almost never a limit. The second result is that the complexity of these initial parts approximate the complexity of the function itself in most cases (and in the average) but not always.

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