Measure, stochasticity and the density of hard languages
Ogiwara and Watanabe have recently shown that the hypothesis P ¿ NP implies that no (polynomially) sparse language is =Pbtt-hard for NP. Their technique does not appear to allow significant relaxation of either the query bound or the sparseness criterion. It is shown here that a stronger hypothesis...
| Autores: | , |
|---|---|
| Tipo de documento: | relatório científico |
| Data de publicação: | 1992 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositório: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglês |
| OAI Identifier: | oai:upcommons.upc.edu:2117/369817 |
| Acesso em linha: | https://hdl.handle.net/2117/369817 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Computational complexity Complexitat computacional Àrees temàtiques de la UPC::Informàtica |
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Measure, stochasticity and the density of hard languagesLutz, Jack H.Mayordomo, ElviraComputational complexityComplexitat computacionalÀrees temàtiques de la UPC::InformàticaOgiwara and Watanabe have recently shown that the hypothesis P ¿ NP implies that no (polynomially) sparse language is =Pbtt-hard for NP. Their technique does not appear to allow significant relaxation of either the query bound or the sparseness criterion. It is shown here that a stronger hypothesis -- namely, that NP does not have measure 0 in exponential time -- implies the stronger conclusion that, for every real a < 1, every =Pna-tt-hard language for NP is (exponentially) dense. The proof of this fact also yields two absolute results (not involving unproven hypotheses) concerning the structure of exponential fime: First, almost every language decidable in exponential time has a stochasticity property, ensurig that it is statistically unpredictable by feasible deterministic algorithms, even with linear nonuniform advice. Second, for a < 1, only a measure 0 subset of the languages decidable in exponential time are =Pna-tt-reducible to languages that are not exponentially dense.19921992-03-1620222022-07-07reporthttp://purl.org/coar/resource_type/c_93fcAOhttp://purl.org/coar/version/c_b1a7d7d4d402bcceinfo:eu-repo/semantics/reportapplication/pdfhttps://hdl.handle.net/2117/369817reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3698172026-05-27T15:37:01Z |
| dc.title.none.fl_str_mv |
Measure, stochasticity and the density of hard languages |
| title |
Measure, stochasticity and the density of hard languages |
| spellingShingle |
Measure, stochasticity and the density of hard languages Lutz, Jack H. Computational complexity Complexitat computacional Àrees temàtiques de la UPC::Informàtica |
| title_short |
Measure, stochasticity and the density of hard languages |
| title_full |
Measure, stochasticity and the density of hard languages |
| title_fullStr |
Measure, stochasticity and the density of hard languages |
| title_full_unstemmed |
Measure, stochasticity and the density of hard languages |
| title_sort |
Measure, stochasticity and the density of hard languages |
| dc.creator.none.fl_str_mv |
Lutz, Jack H. Mayordomo, Elvira |
| author |
Lutz, Jack H. |
| author_facet |
Lutz, Jack H. Mayordomo, Elvira |
| author_role |
author |
| author2 |
Mayordomo, Elvira |
| author2_role |
author |
| dc.subject.none.fl_str_mv |
Computational complexity Complexitat computacional Àrees temàtiques de la UPC::Informàtica |
| topic |
Computational complexity Complexitat computacional Àrees temàtiques de la UPC::Informàtica |
| description |
Ogiwara and Watanabe have recently shown that the hypothesis P ¿ NP implies that no (polynomially) sparse language is =Pbtt-hard for NP. Their technique does not appear to allow significant relaxation of either the query bound or the sparseness criterion. It is shown here that a stronger hypothesis -- namely, that NP does not have measure 0 in exponential time -- implies the stronger conclusion that, for every real a < 1, every =Pna-tt-hard language for NP is (exponentially) dense. The proof of this fact also yields two absolute results (not involving unproven hypotheses) concerning the structure of exponential fime: First, almost every language decidable in exponential time has a stochasticity property, ensurig that it is statistically unpredictable by feasible deterministic algorithms, even with linear nonuniform advice. Second, for a < 1, only a measure 0 subset of the languages decidable in exponential time are =Pna-tt-reducible to languages that are not exponentially dense. |
| publishDate |
1992 |
| dc.date.none.fl_str_mv |
1992 1992-03-16 2022 2022-07-07 |
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report http://purl.org/coar/resource_type/c_93fc AO http://purl.org/coar/version/c_b1a7d7d4d402bcce |
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info:eu-repo/semantics/report |
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report |
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https://hdl.handle.net/2117/369817 |
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https://hdl.handle.net/2117/369817 |
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Inglés eng |
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Inglés |
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eng |
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open access http://purl.org/coar/access_right/c_abf2 Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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openAccess |
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application/pdf |
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reponame:UPCommons. Portal del coneixement obert de la UPC instname:Universitat Politècnica de Catalunya (UPC) |
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