The Girsanov theorem without (so much) stochastic analysis - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Chapitre D'ouvrage Année : 2018

The Girsanov theorem without (so much) stochastic analysis

Résumé

In this pedagogical note, we construct the semi-group associated to a stochastic differential equation with a constant diffusion and a Lipschitz drift by composing over small times the semi-groups generated respectively by the Brownian motion and the drift part. Similarly to the interpretation of the Feynman-Kac formula through the Trotter-Kato-Lie formula in which the exponential term appears naturally, we construct by doing so an approximation of the exponential weight of the Girsanov theorem. As this approach only relies on the basic properties of the Gaussian distribution, it provides an alternative explanation of the form of the Girsanov weights without referring to a change of measure nor on stochastic calculus.
Fichier principal
Vignette du fichier
girsanov_FV_R1.pdf (532.1 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-01498129 , version 1 (29-03-2017)
hal-01498129 , version 2 (06-10-2017)
hal-01498129 , version 3 (22-09-2018)

Identifiants

Citer

Antoine Lejay. The Girsanov theorem without (so much) stochastic analysis. Donati-Martin, Catherine; Lejay, Antoine; Rouault, Alain. Séminaire de Probabilités XLIX, 2215, Springer-Nature, 2018, 978-3-319-92419-9. ⟨10.1007/978-3-319-92420-5_8⟩. ⟨hal-01498129v3⟩
709 Consultations
7842 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More