Multi-dimensional BSDE with oblique reflection and optimal switching
By Ying Hu, Shanjian Tang. 2007
162 citations recorded by the source corpus.
In this paper, we study a multi-dimensional backward stochastic differential equation (BSDE) with oblique reflection, which is a BSDE reflected on the boundary of a special unbounded convex domain along an oblique direction, and which arises naturally in the study of optimal switching problem. The existence of the adapted solution is obtained by the penalization method, the monotone convergence, and the a priori estimates. The uniqueness is obtained by a verification method (the first component of any adapted solution is shown to be the vector value of a switching problem for BSDEs). As applications, we apply the above results to solve the optimal switching problem for stochastic differential equations of functional type, and we give also a probabilistic interpretation of the viscosity solution to a system of variational inequalities.
Subfields: Computational Theory and Mathematics, Control and Systems Engineering, Finance
View Paper: https://www.semanticscholar.org/paper/211fb2cba567a8d24c7f97dca3e690ed6516dc93
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
In Control and Systems Engineering
In Finance
- Jean-François Chassagneux
- Romuald Elie
- Idris Kharroubi
- Said Hamadène
- Shige Peng
- E. Essaky
- Jianfeng Zhang
- Arnulf Jentzen
Citations in the corpus
- A note on existence and uniqueness for solutions of multidimensional reflected BSDEs (2011, methodology): “This is done via the introduction of a convenient one dimensional dominating BSDE and the use of a standard comparison theorem.”
- The Finite Horizon Optimal Multi-Modes Switching Problem: The Viscosity Solution Approach (2008, background): “Either a probabilistic one ([10, 11, 17, 19, 22, 23]) or an approach which uses partial differential inequalities (PDIs for short) ([1, 2, 5, 13, 20, 29, 26]).”