Abstract:We deal with multidimensional backward stochastic differential equations (BSDE) with locally Lipschitz coefficient in both variables y, z and an only square integrable terminal data. Let L N be the Lipschitz constant of the coefficient on the ball B(0, N ) of R d × R dr . We prove that if L N = O( √ log N ), then the corresponding BSDE has a unique solution. Moreover, the stability of the solution is established under the same assumptions. In the case where the terminal data is bounded, we establish the existe… Show more
“…Since a set of the second category in a Baire space contains "almost all" the points of the space, it may be thought of as the topological analogue of the measure-theoretical concept of a set whose complement is of measure zero. Our results state that, in some sense, almost all BSDEs with bounded continuous coefficient have solutions which satisfy the above properties (1), (2), and (3). We do not impose any boundedness condition on the terminal data ξ which is assumed to be square-integrable only.…”
mentioning
confidence: 69%
“…Up to our knowledge, except for the papers [2,3,15,20], no results are known about when the coefficient is nonuniformly Lipschitz in the two variables (y,z). Moreover, in [15,20], the assumptions imposed on the coefficient are global.…”
We prove that in the sense of Baire category, almost all backward stochastic differential equations (BSDEs) with bounded and continuous coefficient have the properties of existence and uniqueness of solutions as well as the continuous dependence of solutions on the coefficient and the L 2 -convergence of their associated successive approximations.
“…Since a set of the second category in a Baire space contains "almost all" the points of the space, it may be thought of as the topological analogue of the measure-theoretical concept of a set whose complement is of measure zero. Our results state that, in some sense, almost all BSDEs with bounded continuous coefficient have solutions which satisfy the above properties (1), (2), and (3). We do not impose any boundedness condition on the terminal data ξ which is assumed to be square-integrable only.…”
mentioning
confidence: 69%
“…Up to our knowledge, except for the papers [2,3,15,20], no results are known about when the coefficient is nonuniformly Lipschitz in the two variables (y,z). Moreover, in [15,20], the assumptions imposed on the coefficient are global.…”
We prove that in the sense of Baire category, almost all backward stochastic differential equations (BSDEs) with bounded and continuous coefficient have the properties of existence and uniqueness of solutions as well as the continuous dependence of solutions on the coefficient and the L 2 -convergence of their associated successive approximations.
“…The existence of solutions is deduced a suitable approximation of (ξ, f ) and an appropriate localization procedure which is close to those given in [1][2][3]. However, in contrast to [3], we do not use the L 2 -weak compactness of the approximating sequence (Y n , Z n ).…”
Section: Proofsmentioning
confidence: 99%
“…In other hand, the comparison methods (used for one-dimensional BSDEs) do not work in multidimensional case. The present Note is a natural development of [1][2][3] where some results on existence and uniqueness, as well as the stability of strong solutions are established for multidimensional BSDEs with local assumptions on the coefficient f in the two variables y and z. To begin, let ξ be a p-integrable (with 1 < p < 2) and consider the following example of BSDE,…”
In this paper, we first establish the existence and uniqueness of L p (p > 1) solutions for multidimensional backward stochastic differential equations (BSDEs) under a weak monotonicity condition together with a general growth condition in y for the generator g. Then, we overview several conditions related closely to the weak monotonicity condition and compare them in an effective way. Finally, we put forward and prove a stability theorem and a comparison theorem of L p (p > 1) solutions for this kind of BSDEs.
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