Relativized depth
Laurent Bienvenu, Valentino Delle Rose, Wolfgang Merkle

TL;DR
This paper explores how the concept of depth, related to the usefulness and structure of information in sets, changes when relativized to different oracles, revealing complex relationships and new insights in computability theory.
Contribution
It introduces a relativized notion of depth, analyzes its properties across various oracles, and establishes new relationships between deep sets, random sets, and computational degrees.
Findings
Deep sets and their relativized counterparts are incomparable.
Deep sets are strictly contained in sets deep relative to any Martin-Löf-random oracle.
Every DNC$_2$ function is truth-table-equivalent to the join of two Martin-Löf random sets.
Abstract
Bennett's notion of depth is usually considered to describe the usefulness and internal organization of the information encoded into an object such as an infinite binary sequence. We consider a natural way to relativize the notion of depth for such sets, and we investigate for various kinds of oracles whether and how the unrelativized and the relativized version of depth differ. Intuitively speaking, access to an oracle increases computation power. Accordingly, for most notions for sets considered in computability theory, for the corresponding classes trivially for all oracles the unrelativized class is contained in the relativized class or for all oracles the relativized class is contained in the unrelativized class. Examples for these two cases are given by the classes of computable and of Martin-L\"{o}f random sets, respectively. However, in the case for depth the situation is…
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Taxonomy
TopicsComputability, Logic, AI Algorithms · Advanced Topology and Set Theory · Benford’s Law and Fraud Detection
