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Nonlinear predictable representation and L1-solutions of second-order backward SDEs

Ren, Zhenjie; Touzi, Nizar; Yang, junjian (2022), Nonlinear predictable representation and L1-solutions of second-order backward SDEs, Annales de l'Institut Henri Poincaré, Probabilités et statistiques, 58, 2, p. 639-666. 10.1214/21-AIHP1177

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1808.05816.pdf (343.8Kb)
Type
Article accepté pour publication ou publié
Date
2022
Journal name
Annales de l'Institut Henri Poincaré, Probabilités et statistiques
Volume
58
Number
2
Publisher
Institute of Mathematical Statistics
Published in
Paris
Pages
639-666
Publication identifier
10.1214/21-AIHP1177
Metadata
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Author(s)
Ren, Zhenjie
CEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
Touzi, Nizar
Centre de Mathématiques Appliquées - Ecole Polytechnique [CMAP]
Yang, junjian
Fakultät für Mathematik und Geoinformation [Wien] [TU Wien]
Abstract (EN)
The theory of backward SDEs extends the predictable representation property of Brownian motion to the nonlinear framework, thus providing a path-dependent analog of fully nonlinear parabolic PDEs. In this paper, we consider backward SDEs, their reflected version, and their second-order extension, in the context where the final data and the generator satisfy L1-type of integrability condition. Our main objective is to provide the corresponding existence and uniqueness results for general Lipschitz generators. The uniqueness holds in the so-called Doob class of processes, simultaneously under an appropriate class of measures. We emphasize that the previous literature only deals with backward SDEs, and requires either that the generator is separable in (y,z), see Peng [Pen97], or strictly sublinear in the gradient variable z, see [BDHPS03], or that the final data satisfies an LlnL-integrability condition, see [HT18]. We by-pass these conditions by defining L1-integrability under the nonlinear expectation operator induced by the previously mentioned class of measures.
Subjects / Keywords
Backward SDE; second-order backward SDE; nonlinear expectation; nondominated probability measures

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