Lowness for effective Hausdorff dimension

Author:

Lempp Steffen1,Miller Joseph S.1,Ng Keng Meng2,Turetsky Daniel D.3,Weber Rebecca4

Affiliation:

1. Department of Mathematics, University of Wisconsin, Madison, WI 53706-1388, USA

2. Division of Mathematical Sciences, School of Physical and Mathematical Sciences, College of Science, Nanyang Technological University, Singapore

3. Kurt Gödel Research Center, University of Vienna, 1090 Vienna, Austria

4. White River Junction, VT 05001, USA

Abstract

We examine the sequences A that are low for dimension, i.e. those for which the effective (Hausdorff) dimension relative to A is the same as the unrelativized effective dimension. Lowness for dimension is a weakening of lowness for randomness, a central notion in effective randomness. By considering analogues of characterizations of lowness for randomness, we show that lowness for dimension can be characterized in several ways. It is equivalent to lowishness for randomness, namely, that every Martin-Löf random sequence has effective dimension 1 relative to A, and lowishness for K, namely, that the limit of KA(n)/K(n) is 1. We show that there is a perfect [Formula: see text]-class of low for dimension sequences. Since there are only countably many low for random sequences, many more sequences are low for dimension. Finally, we prove that every low for dimension is jump-traceable in order nε, for any ε > 0.

Publisher

World Scientific Pub Co Pte Lt

Subject

Logic

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. SOME CONSEQUENCES OF AND;The Journal of Symbolic Logic;2023-05-15

2. A Perfect Set of Reals with Finite Self-Information;The Journal of Symbolic Logic;2013-12

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3