MINIMAL SUPERSOLUTIONS OF CONVEX BSDES

被引:22
作者
Drapeau, Samuel [1 ]
Heyne, Gregor [1 ]
Kupper, Michael [1 ]
机构
[1] Humboldt Univ, D-10099 Berlin, Germany
关键词
Supersolutions of backward stochastic differential equations; nonlinear expectations; supermartingales; STOCHASTIC DIFFERENTIAL-EQUATIONS; G-BROWNIAN MOTION; RISK MEASURES; CALCULUS; THEOREM;
D O I
10.1214/13-AOP834
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We study the nonlinear operator of mapping the terminal value xi to the corresponding minimal supersolution of a backward stochastic differential equation with the generator being monotone in y, convex in z, jointly lower semicontinuous and bounded below by an affine function of the control variable z. We show existence, uniqueness, monotone convergence, Fatou's lemma and lower semicontinuity of this operator. We provide a comparison principle for minimal supersolutions of BSDEs.
引用
收藏
页码:3973 / 4001
页数:29
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