INDUCTIVE COMPLEXITY MEASURES FOR MATHEMATICAL PROBLEMS
MARK BURGIN, CRISTIAN S. CALUDE, ELENA CALUDE
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Source: Crossref
Published: Jun 1, 2013
DOI: 10.1142/s0129054113500160
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An algorithmic uniform method to measure the complexity of finitely refutable statements [6, 7, 9] was used to classify famous/interesting mathematical statements like Fermat's last theorem, the four colour theorem, and the Riemann hypothesis [8, 15, 16]. Working with inductive Turing machines of various orders [1] instead of classical computations, we propose a class of inductive complexity measures and inductive complexity classes for mathematical statements which generalise the previous method. In particular, the new method is capable to classify Π 2 –statements. As illustrations, we evaluate the inductive complexity of the Collatz and twin prime conjectures — statements which cannot be evaluated with the original method.
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