Two-Tape Simulation of Multitape Turing Machines

Author:

Hennie F. C.1,Stearns R. E.2

Affiliation:

1. Department of Electrical Engineering Massachusetts, Institute of Technology, Cambridge, Massachusetts

2. Research and Development Center, General Electric Company, Schenectady, New York

Abstract

It has long been known that increasing the number of tapes used by a Turing machine does not provide the ability to compute any new functions. On the other hand, the use of extra tapes does make it possible to speed up the computation of certain functions. It is known that a square factor is sometimes required for a one-tape machine to behave as a two-tape machine and that a square factor is always sufficient. The purpose of this paper is to show that, if a given function requires computation time T for a k -tape realization, then it requires at most computation time T log T for a two-tape realization. The proof of this fact is constructive; given any k -tape machine, it is shown how to design an equivalent two-tape machine that operates within the stated time bounds. In addition to being interesting in its own right, the trade-off relation between number of tapes and speed of computation can be used in a diagonalization argument to show that if T ( n ) and U ( n ) are two time functions such that inf T ( n ) log T ( n ) ÷ U ( n ) = 0 then there exists a function that can be computed within the time bound U ( n ) but not within the time bound T ( n ).

Publisher

Association for Computing Machinery (ACM)

Subject

Artificial Intelligence,Hardware and Architecture,Information Systems,Control and Systems Engineering,Software

Cited by 173 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. Simulating Quantum Turing Machine in Augmented Reality;Proceedings of the 2023 8th International Conference on Multimedia and Image Processing;2023-04-21

2. Effective Guessing Has Unlikely Consequences;Theory of Computing Systems;2023-03-25

3. Relativized depth;Theoretical Computer Science;2023-03

4. Beyond Memristors: Neuromorphic Computing Using Meminductors;Micromachines;2023-02-19

5. PAC-learning gains of Turing machines over circuits and neural networks;Physica D: Nonlinear Phenomena;2023-02

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