test_moissonnage_selune
type: Agent

Spin-glass models and interdisciplinary applications
type: Distribution
access URL: https://theses.hal.science/tel-00683603
format: HTML
issued: 2026-05-23T05:32:54.402114
modified: 2026-05-23T05:32:54.288326

Spin-glass models and interdisciplinary applications
type: Dataset
contact point: Organization
  fn: CCSD
keyword: random-matrix-theory
keyword: spin-glass-models
keyword: theorie-des-matrices-aleatoires
keyword: physcondcm-genphysics-physicscondensed-matter-cond-matother-cond-matother
keyword: theses
keyword: transition-vitreuse
keyword: risque-financier
keyword: extreme-value-statistics
keyword: financial-risk
keyword: infoeu-reposemanticsdoctoralthesis
keyword: glass-transition
keyword: systemic-risk
keyword: risque-systemique
keyword: modeles-de-verre-de-spin
keyword: statistique-de-valeurs-extremes
landing page: https://theses.hal.science/tel-00683603
description: The main subject of this thesis is the physics of spin glasses. After their introduction in the 70s in order to describe dilute magnetic alloys, spin-glass models have been considered prototype models to understand the behavior of supercooled liquids. Among the systems that can be described and analyzed using the language of disordered systems, there are problems of combinatorial optimization. In the first part of the thesis, we consider spin-glass models with Kac interactions in order to investigate the supercooled phase of glass-forming liquids. Afterwards, we show how some features of spin-glass models can be described by ubiquitous results of Random Matrix Theory in connection with Extreme Value Statistics. Finally, from the interaction of spin-glass theory and computer science, we put forward a new algorithm of immediate application in Financial problems.
identifier: NNT: 2012PA112003
issued: 2026-05-23T05:32:54.330025
language: en
modified: 2026-05-23T05:32:54.330030