...
首页> 外文期刊>Random operators and stochastic equations >Backward Stochastic partial differential equations in infinite dimensions
【24h】

Backward Stochastic partial differential equations in infinite dimensions

机译:无限维的倒向随机偏微分方程

获取原文
获取原文并翻译 | 示例
           

摘要

With respect to an arbitrary right continuous filtration, not necessary the Wiener filtration, a certain class of backward stochastic differential equations in infinite dimensions is studied. The solution of such an equation is required to be predictable and is got uniquely with the help of a martingale representation theorem which is proved as well. The second part of the paper is devoted to proving the existence and uniqueness of the solution of a backward stochastic partial differential equation.
机译:关于任意右连续过滤,而不是维纳过滤,研究了一类无穷维逆向随机微分方程。这种方程式的解必须是可预测的,并且借助于a表示定理可以得到唯一解。本文的第二部分致力于证明后向随机偏微分方程解的存在性和唯一性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号