Blum's speedup theorem

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In computational complexity theory, Blum's speedup theorem, first stated by Manuel Blum in 1967, is a fundamental theorem about the complexity of computable functions.

Each computable function has an infinite number of different program representations in a given programming language. In the theory of algorithms one often strives to find a program with the smallest complexity for a given computable function and a given complexity measure (such a program could be called optimal). Blum's speedup theorem shows that for any complexity measure there are computable functions that are not optimal with respect to that measure.[further explanation needed] This also rules out the idea there is a way to assign to arbitrary functions their computational complexity, meaning the assignment to any f of the complexity of an optimal program for f. This does of course not exclude the possibility of finding the complexity of an optimal program for certain specific functions.

Speedup theorem[edit]

Given a Blum complexity measure and a total computable function with two parameters, then there exists a total computable predicate (a boolean valued computable function) so that for every program for , there exists a program for so that for almost all

is called the speedup function. The fact that it may be as fast-growing as desired (as long as it is computable) means that the phenomenon of always having a program of smaller complexity remains even if by "smaller" we mean "significantly smaller" (for instance, quadratically smaller, exponentially smaller).

See also[edit]

References[edit]

  • Blum, Manuel (1967). "A Machine-Independent Theory of the Complexity of Recursive Functions" (PDF). Journal of the ACM. 14 (2): 322–336. doi:10.1145/321386.321395.
  • Van Emde Boas, Peter (1975). Bečvář, Jiří (ed.). "Ten years of speedup". Proceedings of Mathematical Foundations of Computer Science, 4th Symposium, Mariánské Lázně, September 1-5, 1975. Lecture Notes in Computer Science. Springer-Verlag. 32: 13–29. doi:10.1007/3-540-07389-2_179..

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