Closure of resource-bounded randomness notions under polynomial time permutations
Andre Nies, Frank Stephan

TL;DR
This paper explores whether resource-bounded randomness notions, specifically polynomial time and polynomial space randomness, are preserved under polynomial time permutations, revealing dependencies on complexity class assumptions.
Contribution
It demonstrates that polynomial time randomness preservation depends on complexity class relationships, such as P vs. PSPACE and BPP containing certain classes.
Findings
Polynomial time randomness is not preserved under some permutations if BPP contains certain classes.
Polynomial space randomness is preserved under permutations with polynomially bounded inverse if P=PSPACE.
Abstract
An infinite bit sequence is called recursively random if no computable strategy betting along the sequence has unbounded capital. It is well-known that the property of recursive randomness is closed under computable permutations. We investigate analogous statements for randomness notions defined by betting strategies that are computable within resource bounds. Suppose that S is a polynomial time computable permutation of the set of strings over the unary alphabet (identified with N). If the inverse of S is not polynomially bounded, it is easy to build a polynomial time random bit sequence Z such that Z o S is not polynomial time random. So one should only consider permutations S satisfying the extra condition that the inverse is polynomially bounded. Now the closure depends on additional assumptions in complexity theory. Our first result shows that if BPP contains a superpolynomial…
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Taxonomy
TopicsComputability, Logic, AI Algorithms · DNA and Biological Computing · Fractal and DNA sequence analysis
