Large deviation principle for the Greedy exploration algorithm over Erdös-Rényi graphs

Bermolen, Paola - Goicoechea Jackson, Valeria - Jonckheere, Matthieu - Mordecki, Ernesto

Resumen:

We prove a large deviation principle for a greedy exploration process on an Erdös-Rényi (ER) graph when the number of nodes goes to infinity. To prove our main result, we use the general strategy to study large deviations of processes proposed by Feng and Kurtz (2006), based on the convergence of non-linear semigroups. The rate function can be expressed in a closed-form formula, and associated optimization problems can be solved explicitly, providing the large deviation trajectory. Also, we derive large deviation results for the size of the maximum independent set discovered by such an algorithm and analyse the probability that it exceeds known bounds for the maximal independent set. We also analyse the link between these results and the landscape complexity of the independent set and the exploration dynamic


Detalles Bibliográficos
2022
Large deviation principle
Greedy exploration algorithms
Erdös-Rényi Graphs
Comparison principle.
Hamilton-Jacobi equations
Inglés
Universidad de la República
COLIBRI
https://hdl.handle.net/20.500.12008/41045
Acceso abierto
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
_version_ 1807522801553244160
author Bermolen, Paola
author2 Goicoechea Jackson, Valeria
Jonckheere, Matthieu
Mordecki, Ernesto
author2_role author
author
author
author_facet Bermolen, Paola
Goicoechea Jackson, Valeria
Jonckheere, Matthieu
Mordecki, Ernesto
author_role author
bitstream.checksum.fl_str_mv 6429389a7df7277b72b7924fdc7d47a9
a006180e3f5b2ad0b88185d14284c0e0
6eed504571858d3e58aeed5ad67e191a
489f03e71d39068f329bdec8798bce58
bb291069abc69c07e5a5d3163565b67d
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
MD5
bitstream.url.fl_str_mv http://localhost:8080/xmlui/bitstream/20.500.12008/41045/5/license.txt
http://localhost:8080/xmlui/bitstream/20.500.12008/41045/2/license_url
http://localhost:8080/xmlui/bitstream/20.500.12008/41045/3/license_text
http://localhost:8080/xmlui/bitstream/20.500.12008/41045/4/license_rdf
http://localhost:8080/xmlui/bitstream/20.500.12008/41045/1/19-16.pdf
collection COLIBRI
dc.contributor.filiacion.none.fl_str_mv Bermolen Paola, Universidad de la República (Uruguay). Facultad de Ingeniería.
Goicoechea Jackson Valeria, Universidad de la República (Uruguay). Facultad de Ingeniería.
Jonckheere Matthieu, Universidad de la República (Uruguay). Facultad de Ingeniería.
Mordecki Ernesto, Universidad de la República (Uruguay). Facultad de Ciencias. Centro de Matemática.
dc.creator.none.fl_str_mv Bermolen, Paola
Goicoechea Jackson, Valeria
Jonckheere, Matthieu
Mordecki, Ernesto
dc.date.accessioned.none.fl_str_mv 2023-11-10T14:12:13Z
dc.date.available.none.fl_str_mv 2023-11-10T14:12:13Z
dc.date.issued.none.fl_str_mv 2022
dc.description.abstract.none.fl_txt_mv We prove a large deviation principle for a greedy exploration process on an Erdös-Rényi (ER) graph when the number of nodes goes to infinity. To prove our main result, we use the general strategy to study large deviations of processes proposed by Feng and Kurtz (2006), based on the convergence of non-linear semigroups. The rate function can be expressed in a closed-form formula, and associated optimization problems can be solved explicitly, providing the large deviation trajectory. Also, we derive large deviation results for the size of the maximum independent set discovered by such an algorithm and analyse the probability that it exceeds known bounds for the maximal independent set. We also analyse the link between these results and the landscape complexity of the independent set and the exploration dynamic
dc.format.extent.es.fl_str_mv 18 h.
dc.format.mimetype.es.fl_str_mv application/pdf
dc.identifier.citation.es.fl_str_mv Bermolen, P, Goicoechea Jackson, V, Jonckheere, M [y otro autor]. "Large deviation principle for the Greedy exploration algorithm over Erdös-Rényi graphs". Latin American Journal of Probability and Mathematical Statistics. [en línea] 2022, 19: 439-456. 18 h. DOI: 10.30757/ALEA.v19-16
dc.identifier.doi.none.fl_str_mv 10.30757/ALEA.v19-16
dc.identifier.issn.none.fl_str_mv 1980-0436
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12008/41045
dc.language.iso.none.fl_str_mv en
eng
dc.publisher.es.fl_str_mv ALEA
dc.relation.ispartof.es.fl_str_mv Latin American Journal of Probability and Mathematical Statistics, 2022, 19: 439-456
dc.rights.license.none.fl_str_mv Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:COLIBRI
instname:Universidad de la República
instacron:Universidad de la República
dc.subject.es.fl_str_mv Large deviation principle
Greedy exploration algorithms
Erdös-Rényi Graphs
Comparison principle.
Hamilton-Jacobi equations
dc.title.none.fl_str_mv Large deviation principle for the Greedy exploration algorithm over Erdös-Rényi graphs
dc.type.es.fl_str_mv Artículo
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
description We prove a large deviation principle for a greedy exploration process on an Erdös-Rényi (ER) graph when the number of nodes goes to infinity. To prove our main result, we use the general strategy to study large deviations of processes proposed by Feng and Kurtz (2006), based on the convergence of non-linear semigroups. The rate function can be expressed in a closed-form formula, and associated optimization problems can be solved explicitly, providing the large deviation trajectory. Also, we derive large deviation results for the size of the maximum independent set discovered by such an algorithm and analyse the probability that it exceeds known bounds for the maximal independent set. We also analyse the link between these results and the landscape complexity of the independent set and the exploration dynamic
eu_rights_str_mv openAccess
format article
id COLIBRI_d696b07088a8d907d07c42828f34e1f3
identifier_str_mv Bermolen, P, Goicoechea Jackson, V, Jonckheere, M [y otro autor]. "Large deviation principle for the Greedy exploration algorithm over Erdös-Rényi graphs". Latin American Journal of Probability and Mathematical Statistics. [en línea] 2022, 19: 439-456. 18 h. DOI: 10.30757/ALEA.v19-16
1980-0436
10.30757/ALEA.v19-16
instacron_str Universidad de la República
institution Universidad de la República
instname_str Universidad de la República
language eng
language_invalid_str_mv en
network_acronym_str COLIBRI
network_name_str COLIBRI
oai_identifier_str oai:colibri.udelar.edu.uy:20.500.12008/41045
publishDate 2022
reponame_str COLIBRI
repository.mail.fl_str_mv mabel.seroubian@seciu.edu.uy
repository.name.fl_str_mv COLIBRI - Universidad de la República
repository_id_str 4771
rights_invalid_str_mv Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
spelling Bermolen Paola, Universidad de la República (Uruguay). Facultad de Ingeniería.Goicoechea Jackson Valeria, Universidad de la República (Uruguay). Facultad de Ingeniería.Jonckheere Matthieu, Universidad de la República (Uruguay). Facultad de Ingeniería.Mordecki Ernesto, Universidad de la República (Uruguay). Facultad de Ciencias. Centro de Matemática.2023-11-10T14:12:13Z2023-11-10T14:12:13Z2022Bermolen, P, Goicoechea Jackson, V, Jonckheere, M [y otro autor]. "Large deviation principle for the Greedy exploration algorithm over Erdös-Rényi graphs". Latin American Journal of Probability and Mathematical Statistics. [en línea] 2022, 19: 439-456. 18 h. DOI: 10.30757/ALEA.v19-161980-0436https://hdl.handle.net/20.500.12008/4104510.30757/ALEA.v19-16We prove a large deviation principle for a greedy exploration process on an Erdös-Rényi (ER) graph when the number of nodes goes to infinity. To prove our main result, we use the general strategy to study large deviations of processes proposed by Feng and Kurtz (2006), based on the convergence of non-linear semigroups. The rate function can be expressed in a closed-form formula, and associated optimization problems can be solved explicitly, providing the large deviation trajectory. Also, we derive large deviation results for the size of the maximum independent set discovered by such an algorithm and analyse the probability that it exceeds known bounds for the maximal independent set. We also analyse the link between these results and the landscape complexity of the independent set and the exploration dynamicSubmitted by Egaña Florencia (florega@gmail.com) on 2023-11-09T18:09:05Z No. of bitstreams: 2 license_rdf: 25790 bytes, checksum: 489f03e71d39068f329bdec8798bce58 (MD5) 19-16.pdf: 693137 bytes, checksum: bb291069abc69c07e5a5d3163565b67d (MD5)Approved for entry into archive by Faget Cecilia (lfaget@fcien.edu.uy) on 2023-11-10T13:26:14Z (GMT) No. of bitstreams: 2 license_rdf: 25790 bytes, checksum: 489f03e71d39068f329bdec8798bce58 (MD5) 19-16.pdf: 693137 bytes, checksum: bb291069abc69c07e5a5d3163565b67d (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@seciu.edu.uy) on 2023-11-10T14:12:13Z (GMT). No. of bitstreams: 2 license_rdf: 25790 bytes, checksum: 489f03e71d39068f329bdec8798bce58 (MD5) 19-16.pdf: 693137 bytes, checksum: bb291069abc69c07e5a5d3163565b67d (MD5) Previous issue date: 202218 h.application/pdfenengALEALatin American Journal of Probability and Mathematical Statistics, 2022, 19: 439-456Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)Large deviation principleGreedy exploration algorithmsErdös-Rényi GraphsComparison principle.Hamilton-Jacobi equationsLarge deviation principle for the Greedy exploration algorithm over Erdös-Rényi graphsArtículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaBermolen, PaolaGoicoechea Jackson, ValeriaJonckheere, MatthieuMordecki, ErnestoLICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/41045/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_urllicense_urltext/plain; charset=utf-850http://localhost:8080/xmlui/bitstream/20.500.12008/41045/2/license_urla006180e3f5b2ad0b88185d14284c0e0MD52license_textlicense_texttext/html; charset=utf-814674http://localhost:8080/xmlui/bitstream/20.500.12008/41045/3/license_text6eed504571858d3e58aeed5ad67e191aMD53license_rdflicense_rdfapplication/rdf+xml; charset=utf-825790http://localhost:8080/xmlui/bitstream/20.500.12008/41045/4/license_rdf489f03e71d39068f329bdec8798bce58MD54ORIGINAL19-16.pdf19-16.pdfapplication/pdf693137http://localhost:8080/xmlui/bitstream/20.500.12008/41045/1/19-16.pdfbb291069abc69c07e5a5d3163565b67dMD5120.500.12008/410452023-11-10 11:12:13.184oai:colibri.udelar.edu.uy:20.500.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Universidadhttps://udelar.edu.uy/https://www.colibri.udelar.edu.uy/oai/requestmabel.seroubian@seciu.edu.uyUruguayopendoar:47712024-07-25T14:29:09.906919COLIBRI - Universidad de la Repúblicafalse
spellingShingle Large deviation principle for the Greedy exploration algorithm over Erdös-Rényi graphs
Bermolen, Paola
Large deviation principle
Greedy exploration algorithms
Erdös-Rényi Graphs
Comparison principle.
Hamilton-Jacobi equations
status_str publishedVersion
title Large deviation principle for the Greedy exploration algorithm over Erdös-Rényi graphs
title_full Large deviation principle for the Greedy exploration algorithm over Erdös-Rényi graphs
title_fullStr Large deviation principle for the Greedy exploration algorithm over Erdös-Rényi graphs
title_full_unstemmed Large deviation principle for the Greedy exploration algorithm over Erdös-Rényi graphs
title_short Large deviation principle for the Greedy exploration algorithm over Erdös-Rényi graphs
title_sort Large deviation principle for the Greedy exploration algorithm over Erdös-Rényi graphs
topic Large deviation principle
Greedy exploration algorithms
Erdös-Rényi Graphs
Comparison principle.
Hamilton-Jacobi equations
url https://hdl.handle.net/20.500.12008/41045