dc.contributor.author | López Martín, Juan Manuel | |
dc.contributor.author | Rodríguez Fernández, Enrique | |
dc.contributor.other | Universidad de Cantabria | es_ES |
dc.date.accessioned | 2024-09-12T14:43:39Z | |
dc.date.available | 2024-09-12T14:43:39Z | |
dc.date.issued | 2024-01-17 | |
dc.identifier.issn | 2470-0045 | |
dc.identifier.issn | 2470-0053 | |
dc.identifier.issn | 1539-3755 | |
dc.identifier.issn | 1550-2376 | |
dc.identifier.other | PID2021-125543NB-I00 | es_ES |
dc.identifier.uri | https://hdl.handle.net/10902/33782 | |
dc.description.abstract | The scaling behavior of the excited energy states of the directed polymer in random media is analyzed numerically. We find that the spatial correlations of polymer energies scale as ∼k-ð for small enough wave numbers k with a nontrivial exponent ð≈1.3. The equivalence between the stochastic-field equation that describes the partition function of the directed polymer and that governing the time evolution of infinitesimal perturbations in space-time chaos is exploited to connect this exponent ð with the spatial correlations of the Lyapunov vectors reported in the literature. The relevance of our results for other problems involving optimization in random systems is discussed. | es_ES |
dc.description.sponsorship | This work was supported by Grant No. PID2021-125543NB-I00 funded by MCIN/AEI/10.13039/
501100011033/and by ERDF “A way of making Europe” by the European Union. E.R. acknowledges support from Margarita Salas postdoctoral program from Universidad Carlos III
Madrid. | es_ES |
dc.format.extent | 5 p. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | American Physical Society | es_ES |
dc.rights | © American Physical Society | es_ES |
dc.source | Physical Review E, 2024, 109(1), L012102 | es_ES |
dc.title | Lyapunov vectors and excited energy states of the directed polymer in random media | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.relation.publisherVersion | https://doi.org/10.1103/PhysRevE.109.L012102 | es_ES |
dc.rights.accessRights | openAccess | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-125543NB-I00/ES/REDES DE MODELOS DE NEURONAS CON DESORDEN: CONECTANDO LAS ESCALAS MICRO, MESO Y MACRO./ | es_ES |
dc.identifier.DOI | 10.1103/PhysRevE.109.L012102 | |
dc.type.version | publishedVersion | es_ES |