Lower bounds on the redundancy in computations from random oracles via betting strategies with restricted wagers
George Barmpalias, Andrew Lewis-Pye, Jason Teutsch

TL;DR
This paper establishes optimal lower bounds on the redundancy in computations from Martin-Löf random oracles, showing that many slow-growing functions cannot serve as universal bounds for a large class of reals.
Contribution
It introduces a new theory of effective betting strategies with restricted wagers to prove strict lower bounds on redundancy in oracle computations from random reals.
Findings
Many slow-growing functions like log n cannot bound redundancy for a large class of reals.
Existence of reals with redundancy bounds where the sum of 2^{-g(n)} converges.
The class of such reals is comeager and includes Δ^0_2 and weakly 2-generic reals.
Abstract
The Ku\v{c}era-G\'acs theorem is a landmark result in algorithmic randomness asserting that every real is computable from a Martin-L\"of random real. If the computation of the first bits of a sequence requires bits of the random oracle, then is the redundancy of the computation. Ku\v{c}era implicitly achieved redundancy while G\'acs used a more elaborate coding procedure which achieves redundancy . A similar upper bound is implicit in the later proof by Merkle and Mihailovi\'c. In this paper we obtain strict optimal lower bounds on the redundancy in computations from Martin-L\"of random oracles. We show that any nondecreasing computable function such that is not a general upper bound on the redundancy in computations from Martin-L\"of random oracles. In fact, there exists a real such that the redundancy of…
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