Abstract
This paper provides a new formulation of second order stochastic target problems introduced in [SIAM J. Control Optim. 48 (2009) 2344-2365] by modifying the reference probability so as to allow for different scales. This new ingredient enables us to prove a dual formulation of the target problem as the supremum of the solutions of standard backward stochastic differential equations. In particular, in the Markov case, the dual problem is known to be connected to a fully nonlinear, parabolic partial differential equation and this connection can be viewed as a stochastic representation for all nonlinear, scalar, second order, parabolic equations with a convex Hessian dependence.
Original language | English (US) |
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Pages (from-to) | 308-347 |
Number of pages | 40 |
Journal | Annals of Applied Probability |
Volume | 23 |
Issue number | 1 |
DOIs | |
State | Published - Feb 2013 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Statistics, Probability and Uncertainty
Keywords
- Backward SDEs
- Duality
- Mutually singular probability measures
- Stochastic target problem