Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/126033
COMPARTIR / EXPORTAR:
logo share SHARE logo core CORE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE

Invitar a revisión por pares abierta
Campo DC Valor Lengua/Idioma
dc.contributor.authorCampos, Danieles_ES
dc.contributor.authorBartumeus, Frederices_ES
dc.contributor.authorRaposo, E. P.es_ES
dc.contributor.authorMéndez, Vicençes_ES
dc.date.issued2015-
dc.identifier.citationPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics 92 ( 5 ) : art. no. 052702 (2015)es_ES
dc.identifier.issn1539-3755-
dc.identifier.urihttp://hdl.handle.net/10261/126033-
dc.description9 páginas, 3 figuras.es_ES
dc.description.abstractAn efficient searcher needs to balance properly the tradeoff between the exploration of new spatial areas and the exploitation of nearby resources, an idea which is at the core of scale-free L´evy search strategies. Here we study multi-scale random walks as an approximation to the scale- free case and derive the exact expressions for their mean-first passage times in a one-dimensional finite domain. This allows us to provide a complete analytical description of the dynamics driving the asymmetric regime, in which both nearby and faraway targets are available to the searcher. For this regime, we prove that the combination of only two movement scales can be enough to outperform both balistic and L´evy strategies. This two-scale strategy involves an optimal discrimination between the nearby and faraway targets, which is only possible by adjusting the range of values of the two movement scales to the typical distances between encounters. So, this optimization necessarily requires some prior information (albeit crude) about targets distances or distributions. Furthermore, we found that the incorporation of additional (three, four, ...) movement scales and its adjustment to target distances does not improve further the search efficiency. This allows us to claim that optimal random search strategies in the asymmetric regime actually arise through the informed combination of only two walk scales (related to the exploitative and the explorative scale, respectively), expanding on the well-known result that optimal strategies in strictly uninformed scenarios are achieved through L´evy paths (or, equivalently, through a hierarchical combination of multiple scales).es_ES
dc.description.sponsorshipThis research has been partially supported by Grants No. FIS 2012-32334 (VM, DC), SGR 2013-00923 (VM, FB, DC) and the the Human Frontier Science Program RGY0084/2011 (FB).es_ES
dc.language.isoenges_ES
dc.publisherAmerican Physical Societyes_ES
dc.rightsclosedAccesses_ES
dc.titleFirst-passage times in multi-scale random walks: the impact of movement scales on search efficiencyes_ES
dc.typeartículoes_ES
dc.identifier.doi10.1103/PhysRevE.92.052702-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1103/PhysRevE.92.052702es_ES
dc.identifier.e-issn1550-2376-
dc.relation.csices_ES
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
item.openairetypeartículo-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
Aparece en las colecciones: (CEAB) Artículos
Show simple item record

CORE Recommender

SCOPUSTM   
Citations

13
checked on 24-mar-2024

WEB OF SCIENCETM
Citations

13
checked on 23-feb-2024

Page view(s)

273
checked on 28-mar-2024

Google ScholarTM

Check

Altmetric

Altmetric


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.