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On Tight Separation for Blum Measures Applied to Turing Machine Buffer Complexity

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    SYSNO ASEP0393220
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleOn 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, RID
    Source TitleFundamenta Informaticae. - : IOS Press - ISSN 0169-2968
    Roč. 152, č. 4 (2017), s. 397-409
    Number of pages13 s.
    Languageeng - English
    CountryNL - Netherlands
    KeywordsTuring machine ; hierarchy ; buffer complexity ; diagonalization
    Subject RIVIN - Informatics, Computer Science
    OECD categoryComputer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    R&D ProjectsGBP202/12/G061 GA ČR - Czech Science Foundation (CSF)
    GAP202/10/1333 GA ČR - Czech Science Foundation (CSF)
    Institutional supportUIVT-O - RVO:67985807
    UT WOS000401338000004
    EID SCOPUS85019447188
    DOI10.3233/FI-2017-1526
    AnnotationWe 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.
    WorkplaceInstitute of Computer Science
    ContactTereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
    Year of Publishing2018
Number of the records: 1  

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