Randomized Complexity Classes
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We define , , , , and as classes of the binary languages of Classical Complexity Classes. The definitions use finite probabilistic Turing machines and exact probabilities over independent fair bits. Zero-error polynomial time uses the bounded-time formulation allowing a "don't know" answer.
We prove , , , and .
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- thm✓
BPPSubsetPP - thm✓
OneSidedSubsetBPP - thm✓
ZPPSubsetBPP - thm✓
ZPPSubsetOneSided
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This is only the formalizers. The authors of the formalized results may be different (see References).
@misc{lax-666725,
author = {Édouard Bonnet and Codex},
title = {Randomized Complexity Classes},
year = {2026},
howpublished = {Lax Archive, lax-666725},
url = {https://laxarchive.org/lax-666725/},
}
References
- Jonathan Katz. Notes on Complexity Theory: Lecture 12. 2011. cs.umd.edu/~jkatz/complexity/f11/lecture12.pdf
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