A Probabilistic Approach to Large Time Behavior of Mild Solutions of Hamilton-Jacobi-Bellman Equations in Infinite Dimension

Ying Hu 1 Pierre-Yves Madec 2 Adrien Richou 3
1 Research and Development [General Motors]
2 IRMAR - Institut de Recherche Mathématique de Rennes
3 IMB - Institut de Mathématiques de Bordeaux
Abstract : We study the large time behaviour of mild solutions of HJB equations in infinite dimension by a purely probabilistic approach. For that purpose, we show that the solution of a BSDE in finite horizon $T$ taken at initial time behaves like a linear term in $T$ shifted with the solution of the associated EBSDE taken at initial time. Moreover we give an explicit speed of convergence, which seems to appear very rarely in literature.
Keywords : backward stochastic differential equations Ornstein-Uhlenbeck operator HJB equations in infinite dimension large time behavior mild solutions ergodic backward stochastic differential equations
Type de document :
Article dans une revue
SIAM Journal on Control and Optimization, Society for Industrial and Applied Mathematics, 2015, 53 (1), pp.378-398. 〈10.1137/140976091〉
Liste complète des métadonnées

Littérature citée [9 références]  Voir  Masquer  Télécharger
https://hal.archives-ouvertes.fr/hal-01006336
Contributeur : Pierre-Yves Madec <>
Soumis le : jeudi 15 janvier 2015 - 13:35:47
Dernière modification le : vendredi 16 novembre 2018 - 01:25:05
Document(s) archivé(s) le : samedi 15 avril 2017 - 17:46:19

Fichiers

097609R.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

IRMAR | IMB | INSMI | CHL | IRMAR-PS | UNAM | UNIV-RENNES2 | UR2-HB | UNIV-RENNES

Citation

Ying Hu, Pierre-Yves Madec, Adrien Richou. A Probabilistic Approach to Large Time Behavior of Mild Solutions of Hamilton-Jacobi-Bellman Equations in Infinite Dimension. SIAM Journal on Control and Optimization, Society for Industrial and Applied Mathematics, 2015, 53 (1), pp.378-398. 〈10.1137/140976091〉. 〈hal-01006336v4〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

578

Téléchargements de fichiers

125

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD