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Tight Bounds on Vertex Connectivity Under Vertex Sampling

Identifieur interne : 000152 ( France/Analysis ); précédent : 000151; suivant : 000153

Tight Bounds on Vertex Connectivity Under Vertex Sampling

Auteurs : Keren Censor-Hillel [Israël] ; Mohsen Ghaffari [États-Unis] ; George Giakkoupis [France] ; Bernhard Haeupler [États-Unis] ; Fabian Kuhn [Allemagne]

Source :

RBID : Hal:hal-01250519

Abstract

A fundamental result by Karger (SODA 1994) states that for any λ-edge-connected graph with n nodes, independently sampling each edge with probability p = Ω(log n/λ) results in a graph that has edge connectivity Ω(λp), with high probability. This paper proves the analogous result for vertex connectivity, when sampling vertices. We show that for any k-vertex-connected graph G with n nodes, if each node is independently sampled with probability p = Ω(log n/k), then the subgraph induced by the sampled nodes has vertex connectivity Ω(kp^2), with high probability. This bound improves upon the recent results of Censor-Hillel et al. (SODA 2014), and is existentially optimal.

Url:
DOI: 10.1137/1.9781611973730.133


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Hal:hal-01250519

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<orgName type="acronym">ENS Rennes</orgName>
<desc>
<address>
<addrLine>Campus de Ker Lann - avenue Robert Schuman - 35170 Bruz</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.ens-rennes.fr</ref>
</desc>
</org>
</tutelle>
<tutelle name="- RENNES" active="#struct-301232" type="indirect">
<org type="institution" xml:id="struct-301232" status="VALID">
<orgName>Institut National des Sciences Appliquées</orgName>
<orgName type="acronym">INSA</orgName>
<desc>
<address>
<country key="FR"></country>
</address>
</desc>
</org>
</tutelle>
<tutelle active="#struct-301262" type="indirect">
<org type="institution" xml:id="struct-301262" status="VALID">
<orgName>Télécom Bretagne</orgName>
<date type="start">1977</date>
<desc>
<address>
<addrLine>Technopôle Brest-IroiseCS 8381829238 BREST Cedex 3</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.telecom-bretagne.eu/</ref>
</desc>
</org>
</tutelle>
<tutelle active="#struct-105160" type="indirect">
<org type="institution" xml:id="struct-105160" status="VALID">
<orgName>Université de Rennes 1</orgName>
<orgName type="acronym">UR1</orgName>
<desc>
<address>
<addrLine>2 rue du Thabor - CS 46510 - 35065 Rennes cedex</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.univ-rennes1.fr/</ref>
</desc>
</org>
</tutelle>
<tutelle active="#struct-411575" type="indirect">
<org type="institution" xml:id="struct-411575" status="VALID">
<orgName>CentraleSupélec</orgName>
<desc>
<address>
<addrLine>3, rue Joliot Curie,Plateau de Moulon,91192 GIF-SUR-YVETTE Cedex</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.centralesupelec.fr</ref>
</desc>
</org>
</tutelle>
</tutelles>
</hal:affiliation>
<country>France</country>
<placeName>
<settlement type="city">Lorient</settlement>
<region type="region" nuts="2">Région Bretagne</region>
</placeName>
<orgName type="university">Université de Bretagne-Sud</orgName>
<orgName type="institution" wicri:auto="newGroup">Université européenne de Bretagne</orgName>
<placeName>
<settlement type="city">Rennes</settlement>
<region type="region" nuts="2">Région Bretagne</region>
</placeName>
<orgName type="university">Université de Rennes 1</orgName>
<orgName type="institution" wicri:auto="newGroup">Université européenne de Bretagne</orgName>
</affiliation>
</author>
<author>
<name sortKey="Haeupler, Bernhard" sort="Haeupler, Bernhard" uniqKey="Haeupler B" first="Bernhard" last="Haeupler">Bernhard Haeupler</name>
<affiliation wicri:level="1">
<hal:affiliation type="laboratory" xml:id="struct-87723" status="VALID">
<orgName>Computer Science Department - Carnegie Mellon University</orgName>
<desc>
<address>
<addrLine>Computer Science Department Carnegie Mellon University Pittsburgh, PA</addrLine>
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</address>
<ref type="url">http://www.cs.cmu.edu/</ref>
</desc>
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</listRelation>
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<tutelle active="#struct-378064" type="direct">
<org type="institution" xml:id="struct-378064" status="INCOMING">
<orgName>University of Pittsburgh</orgName>
<desc>
<address>
<country key="FR"></country>
</address>
</desc>
</org>
</tutelle>
</tutelles>
</hal:affiliation>
<country>États-Unis</country>
<placeName>
<settlement type="city">Pittsburgh</settlement>
<region type="state">Pennsylvanie</region>
</placeName>
<orgName type="university">Université de Pittsburgh</orgName>
</affiliation>
</author>
<author>
<name sortKey="Kuhn, Fabian" sort="Kuhn, Fabian" uniqKey="Kuhn F" first="Fabian" last="Kuhn">Fabian Kuhn</name>
<affiliation wicri:level="1">
<hal:affiliation type="laboratory" xml:id="struct-56846" status="VALID">
<orgName>Department of Computer Science [Freiburg]</orgName>
<desc>
<address>
<addrLine>Georges-Kohler-Allee 79, 79108 Freiburg, Germany</addrLine>
<country key="DE"></country>
</address>
<ref type="url">http://www.informatik.uni-freiburg.de/</ref>
</desc>
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<relation active="#struct-68615" type="direct"></relation>
</listRelation>
<tutelles>
<tutelle active="#struct-68615" type="direct">
<org type="institution" xml:id="struct-68615" status="VALID">
<orgName>University of Freiburg [Freiburg]</orgName>
<desc>
<address>
<addrLine>Friedrichstr. 39 79098 Freiburg</addrLine>
<country key="DE"></country>
</address>
<ref type="url">http://www.uni-freiburg.de/</ref>
</desc>
</org>
</tutelle>
</tutelles>
</hal:affiliation>
<country>Allemagne</country>
</affiliation>
</author>
</analytic>
<idno type="DOI">10.1137/1.9781611973730.133</idno>
</biblStruct>
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<textClass></textClass>
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<front>
<div type="abstract" xml:lang="en">A fundamental result by Karger (SODA 1994) states that for any λ-edge-connected graph with n nodes, independently sampling each edge with probability p = Ω(log n/λ) results in a graph that has edge connectivity Ω(λp), with high probability. This paper proves the analogous result for vertex connectivity, when sampling vertices. We show that for any k-vertex-connected graph G with n nodes, if each node is independently sampled with probability p = Ω(log n/k), then the subgraph induced by the sampled nodes has vertex connectivity Ω(kp^2), with high probability. This bound improves upon the recent results of Censor-Hillel et al. (SODA 2014), and is existentially optimal.</div>
</front>
</TEI>
<affiliations>
<list>
<country>
<li>Allemagne</li>
<li>France</li>
<li>Israël</li>
<li>États-Unis</li>
</country>
<region>
<li>Pennsylvanie</li>
<li>Région Bretagne</li>
</region>
<settlement>
<li>Lorient</li>
<li>Pittsburgh</li>
<li>Rennes</li>
</settlement>
<orgName>
<li>Université de Bretagne-Sud</li>
<li>Université de Pittsburgh</li>
<li>Université de Rennes 1</li>
<li>Université européenne de Bretagne</li>
</orgName>
</list>
<tree>
<country name="Israël">
<noRegion>
<name sortKey="Censor Hillel, Keren" sort="Censor Hillel, Keren" uniqKey="Censor Hillel K" first="Keren" last="Censor-Hillel">Keren Censor-Hillel</name>
</noRegion>
</country>
<country name="États-Unis">
<noRegion>
<name sortKey="Ghaffari, Mohsen" sort="Ghaffari, Mohsen" uniqKey="Ghaffari M" first="Mohsen" last="Ghaffari">Mohsen Ghaffari</name>
</noRegion>
<name sortKey="Haeupler, Bernhard" sort="Haeupler, Bernhard" uniqKey="Haeupler B" first="Bernhard" last="Haeupler">Bernhard Haeupler</name>
</country>
<country name="France">
<region name="Région Bretagne">
<name sortKey="Giakkoupis, George" sort="Giakkoupis, George" uniqKey="Giakkoupis G" first="George" last="Giakkoupis">George Giakkoupis</name>
</region>
</country>
<country name="Allemagne">
<noRegion>
<name sortKey="Kuhn, Fabian" sort="Kuhn, Fabian" uniqKey="Kuhn F" first="Fabian" last="Kuhn">Fabian Kuhn</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>

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