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Analytical properties of resource-bounded real functionals

Identifieur interne : 000914 ( Main/Exploration ); précédent : 000913; suivant : 000915

Analytical properties of resource-bounded real functionals

Auteurs : Hugo Férée [France] ; Walid Gomaa [Égypte] ; Mathieu Hoyrup [France]

Source :

RBID : Hal:hal-00848482

English descriptors

Abstract

Computable analysis is an extension of classical discrete computability by enhancing the normal Turing machine model. It investigates mathematical analysis from the computability perspective. Though it is well developed on the computability level, it is still under developed on the complexity perspective, that is, when bounding the available computational resources. Recently Kawamura and Cook developed a framework to define the computational complexity of operators arising in analysis. Our goal is to understand the effects of complexity restrictions on the analytical properties of the operator. We focus on the case of norms over C[0,1] and introduce the notion of dependence of a norm on a point and relate it to the query complexity of the norm. We show that the dependence of almost every point is of the order of the query complexity of the norm. A norm with small complexity depends on a few points but, as compensation, highly depends on them. We briefly show how to obtain similar results for non-deterministic time complexity. We characterize the functionals that are computable using one oracle call only and discuss the uniformity of that characterization. This paper is a significant revision and expansion of an earlier conference version.

Url:
DOI: 10.1016/j.jco.2014.02.008


Affiliations:


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<idno type="RNSR">198912571S</idno>
<idno type="IdUnivLorraine">[UL]RSI--</idno>
<orgName>Laboratoire Lorrain de Recherche en Informatique et ses Applications</orgName>
<orgName type="acronym">LORIA</orgName>
<date type="start">2012-01-01</date>
<desc>
<address>
<addrLine>Campus Scientifique BP 239 54506 Vandoeuvre-lès-Nancy Cedex</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.loria.fr</ref>
</desc>
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<idno type="IdRef">157040569</idno>
<idno type="IdUnivLorraine">[UL]100--</idno>
<orgName>Université de Lorraine</orgName>
<orgName type="acronym">UL</orgName>
<date type="start">2012-01-01</date>
<desc>
<address>
<addrLine>34 cours Léopold - CS 25233 - 54052 Nancy cedex</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.univ-lorraine.fr/</ref>
</desc>
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<org type="institution" xml:id="struct-441569" status="VALID">
<idno type="ISNI">0000000122597504</idno>
<idno type="IdRef">02636817X</idno>
<orgName>Centre National de la Recherche Scientifique</orgName>
<orgName type="acronym">CNRS</orgName>
<date type="start">1939-10-19</date>
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<address>
<country key="FR"></country>
</address>
<ref type="url">http://www.cnrs.fr/</ref>
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</hal:affiliation>
<country>France</country>
<placeName>
<settlement type="city">Nancy</settlement>
<settlement type="city">Metz</settlement>
<region type="region" nuts="2">Grand Est</region>
<region type="old region" nuts="2">Lorraine (région)</region>
</placeName>
<orgName type="university">Université de Lorraine</orgName>
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<idno type="DOI">10.1016/j.jco.2014.02.008</idno>
<series>
<title level="j">Journal of Complexity</title>
<idno type="ISSN">0885-064X</idno>
<imprint>
<date type="datePub">2014-10-01</date>
</imprint>
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<keywords scheme="mix" xml:lang="en">
<term>Computable analysis</term>
<term>computational complexity</term>
<term>non-deterministic complexity</term>
<term>norm</term>
<term>oracle Turing machine</term>
<term>polynomial time computable functional</term>
</keywords>
</textClass>
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<front>
<div type="abstract" xml:lang="en">Computable analysis is an extension of classical discrete computability by enhancing the normal Turing machine model. It investigates mathematical analysis from the computability perspective. Though it is well developed on the computability level, it is still under developed on the complexity perspective, that is, when bounding the available computational resources. Recently Kawamura and Cook developed a framework to define the computational complexity of operators arising in analysis. Our goal is to understand the effects of complexity restrictions on the analytical properties of the operator. We focus on the case of norms over C[0,1] and introduce the notion of dependence of a norm on a point and relate it to the query complexity of the norm. We show that the dependence of almost every point is of the order of the query complexity of the norm. A norm with small complexity depends on a few points but, as compensation, highly depends on them. We briefly show how to obtain similar results for non-deterministic time complexity. We characterize the functionals that are computable using one oracle call only and discuss the uniformity of that characterization. This paper is a significant revision and expansion of an earlier conference version.</div>
</front>
</TEI>
<affiliations>
<list>
<country>
<li>France</li>
<li>Égypte</li>
</country>
<region>
<li>Grand Est</li>
<li>Lorraine (région)</li>
</region>
<settlement>
<li>Metz</li>
<li>Nancy</li>
</settlement>
<orgName>
<li>Université de Lorraine</li>
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<tree>
<country name="France">
<region name="Grand Est">
<name sortKey="Feree, Hugo" sort="Feree, Hugo" uniqKey="Feree H" first="Hugo" last="Férée">Hugo Férée</name>
</region>
<name sortKey="Hoyrup, Mathieu" sort="Hoyrup, Mathieu" uniqKey="Hoyrup M" first="Mathieu" last="Hoyrup">Mathieu Hoyrup</name>
</country>
<country name="Égypte">
<noRegion>
<name sortKey="Gomaa, Walid" sort="Gomaa, Walid" uniqKey="Gomaa W" first="Walid" last="Gomaa">Walid Gomaa</name>
</noRegion>
</country>
</tree>
</affiliations>
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