Bridging Computational Notions of Depth: Here's Why Strong Depth is Negligible

Written by computational | Published 2025/01/17
Tech Story Tags: computational-notions | depth-notions | strong-depth | notions-of-depth | computation | martin-lof-random-sequences | randomness | deep-sequences

TLDRThe class of strongly deep sequences is negligible. Here's how we know.via the TL;DR App

Table of Links

Abstract and 1 Introduction

2 Background

3 On the slow growth law

4 Members of Deep Π0 1 classes

5 Strong depth is Negligible

6 Variants of Strong Depth

References

Appendix A. Proof of Lemma 3

5. Strong Depth is Negligible

Theorem 25. The class of strongly deep sequences is negligible.

Proof. For the sake of contradiction, assume there exists a functional Φ such that

It is clear that q is computable. Moveover, q is a discrete semimeasure, since

On the other hand, for almost all n:

Note, by contrast, that the collection of weakly deep sequences is not negligible. Indeed, as shown by Muchnik et al. [MSU98], no 1-generic sequence is Martin-L¨of random with respect to a computable measure, and thus every 1-generic is weakly deep. Moreover, as shown by Kautz [Kau91], every 2-random sequence computes a 1-generic, and hence the collection of 1-generics is not negligible.

This paper is available on arxiv under CC BY 4.0 DEED license.

Authors:

(1) Laurent Bienvenu;

(2) Christopher P. Porter.


Written by computational | Computational: We take random inputs, follow complex steps, and hope the output makes sense. And then blog about it.
Published by HackerNoon on 2025/01/17