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On Tight Separation for Blum Measures Applied to Turing Machine Buffer Complexity
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SYSNO ASEP 0393220 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title On Tight Separation for Blum Measures Applied to Turing Machine Buffer Complexity Author(s) Šíma, Jiří (UIVT-O) RID, SAI, ORCID
Žák, Stanislav (UIVT-O) SAI, RIDSource Title Fundamenta Informaticae. - : IOS Press - ISSN 0169-2968
Roč. 152, č. 4 (2017), s. 397-409Number of pages 13 s. Language eng - English Country NL - Netherlands Keywords Turing machine ; hierarchy ; buffer complexity ; diagonalization Subject RIV IN - Informatics, Computer Science OECD category Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8) R&D Projects GBP202/12/G061 GA ČR - Czech Science Foundation (CSF) GAP202/10/1333 GA ČR - Czech Science Foundation (CSF) Institutional support UIVT-O - RVO:67985807 UT WOS 000401338000004 EID SCOPUS 85019447188 DOI 10.3233/FI-2017-1526 Annotation We formulate a very general tight diagonalization method for the Blum complexity measures satisfying two additional axioms related to our diagonalizer machine. We apply this method to two new, mutually related, distance and buffer complexities of Turing machine computations which are important nontrivial examples of natural Blum complexity measures different from time and space. In particular, these measures capture how many times the worktape head needs to move a certain distance during the computation which corresponds to the number of necessary block uploads into a buffer cache memory. We start this study by proving a tight separation which shows that a very small increase in the distance or buffer complexity bound (roughly from f(n) to f(n + 1)) brings provably more computational power to both deterministic and nondeterministic Turing machines even for unary languages. We also obtain hierarchies of the distance and buffer complexity classes. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2018
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