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Invariance theorem

In algorithmic information theory, the invariance theorem, originally proved by Ray Solomonoff, states that a universal Turing machine provides an optimal means of description, up to a constant. Formally, for every machine M there exists a constant c such that for all binary strings x we have

C(x)=C_U(x) \leq C_M(x) + c.

This follows trivially from the definition of a universal Turing machine, taking c = l(<M>) as the length of the encoding of M.

The invariance theorem holds likewise for prefix and conditional complexities.

Last updated: 05-28-2005 20:14:25
10-26-2009 08:16:03
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