Table of Contents
Fetching ...

A Variant Of Chaitin's Omega function

Yuxuan Li, Shuheng Zhang, Xiaoyan Zhang, Xuanheng Zhao

TL;DR

This paper introduces a continuous variant of Chaitin's Omega, defined by $f(x)=\sum_{\sigma\le_L x}2^{-K(\sigma)}$, and analyzes it through analysis, computability, and algorithmic randomness. It establishes that $f$ is differentiable precisely at density random points with derivative $0$ when it exists, and that $f(x)$ is $x$-random iff $x$ is weakly low for $K$. The range $f(2^\omega)$ is a null, nowhere dense, perfect $Π^0_1(\emptyset')$ class with Hausdorff dimension $1$, and the function satisfies $f(x)\oplus x\ge_T\emptyset'$ for all $x$, while being non-invariant under Turing reductions in general but invariant on the $K$-trivial ideal. The authors connect $f$ to other Omega variants and show that a rich set of randomness and dimension properties carry over to this variant, including the existence of continuum many $x$ with non-1-random $f(x)$ and a detailed analysis of left-c.e. tests related to $2$-randomness.

Abstract

We investigate the continuous function $f$ defined by $$x\mapsto \sum_{σ\le_L x }2^{-K(σ)}$$ as a variant of Chaitin's Omega from the perspective of analysis, computability, and algorithmic randomness. Among other results, we obtain that: (i) $f$ is differentiable precisely at density random points; (ii) $f(x)$ is $x$-random if and only if $x$ is weakly low for $K$ (low for $Ω$); (iii) the range of $f$ is a null, nowhere dense, perfect $Π^0_1(\emptyset')$ class with Hausdorff dimension $1$; (iv) $f(x)\oplus x\ge_T\emptyset'$ for all $x$; (v) there are $2^{\aleph_0}$ many $x$ such that $f(x)$ is not 1-random; (vi) $f$ is not Turing invariant but is Turing invariant on the ideal of $K$-trivial reals. We also discuss the connection between $f$ and other variants of Omega.

A Variant Of Chaitin's Omega function

TL;DR

This paper introduces a continuous variant of Chaitin's Omega, defined by , and analyzes it through analysis, computability, and algorithmic randomness. It establishes that is differentiable precisely at density random points with derivative when it exists, and that is -random iff is weakly low for . The range is a null, nowhere dense, perfect class with Hausdorff dimension , and the function satisfies for all , while being non-invariant under Turing reductions in general but invariant on the -trivial ideal. The authors connect to other Omega variants and show that a rich set of randomness and dimension properties carry over to this variant, including the existence of continuum many with non-1-random and a detailed analysis of left-c.e. tests related to -randomness.

Abstract

We investigate the continuous function defined by as a variant of Chaitin's Omega from the perspective of analysis, computability, and algorithmic randomness. Among other results, we obtain that: (i) is differentiable precisely at density random points; (ii) is -random if and only if is weakly low for (low for ); (iii) the range of is a null, nowhere dense, perfect class with Hausdorff dimension ; (iv) for all ; (v) there are many such that is not 1-random; (vi) is not Turing invariant but is Turing invariant on the ideal of -trivial reals. We also discuss the connection between and other variants of Omega.

Paper Structure

This paper contains 12 sections, 44 theorems, 81 equations, 1 figure.

Key Result

Theorem 2.1

For each KC set, one can effectively obtain a prefix-free machine $M$ such that

Figures (1)

  • Figure 1: Some cases of Lemma \ref{['Lemma1']}

Theorems & Definitions (88)

  • Theorem 2.1: Machine Existence Theorem, see MR2548883 P88
  • Theorem 2.2: miller2009k
  • Theorem 2.3: Miller, see downey2010algorithmic Theorem 15.9.2
  • Theorem 2.4: kucera
  • Theorem 2.5: Rettinger and Zheng rettinger2005solovay
  • Theorem 2.6: Bienvenu and Downey MR2870648; Hölzl, Kräling and Merkle hölzl_kraling_merkle_2009
  • Definition 2.7: miyabe_nies_zhang_2016
  • Definition 2.8: Bienvenu et al. MR3474456
  • Theorem 2.9: Miyabe, Nies and Jing Zhang miyabe_nies_zhang_2016
  • Definition 2.10: miyabe_nies_zhang_2016
  • ...and 78 more