首页> 外文会议>Fifth International Conference on Computing Anticipatory Systems (CASYS 2001) Aug 13-18, 2001 Liege, Belgium >On Anticipatory and Nonanticipatory Properties in Stochastic Differential Systems
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On Anticipatory and Nonanticipatory Properties in Stochastic Differential Systems

机译:随机微分系统的预期和非预期性质

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One of the aims of this paper is to point out the existence of strong computing anticipatory property and nonanticipatory property in stochastic differential systems, which are characterized by stochastic differential equations (SDEs). Since an SDE is merely a matter of form, its definition sorely depends on the stochastic integrals, not on differentials. Among others Ito and Stratonovich-Fisk integrals are widely used, and the latter has anticipatory property in its own definition, and hence the systems, which are described by equations including the Stratonovich-Fisk integrals, are considered to be strong computing anticipatory systems in stochastic type. On the other hand, Ito differential systems are nonanticipatory systems. In computing current states some of numeriacl algorithms for solving the SDE are taking into account predicted states. Hence, such systems are weakly computing anticipatory systems.
机译:本文的目的之一是指出随机微分系统具有强大的计算预期性质和非预期性质,它们具有随机微分方程(SDE)的特征。由于SDE只是形式问题,因此其定义非常依赖于随机积分,而不取决于微分。除其他外,广泛使用Ito和Stratonovich-Fisk积分,后者在其定义中具有预期性质,因此,用Stratonovich-Fisk积分等式描述的系统被认为是随机的强计算预期系统。类型。另一方面,伊藤差分系统是非预期系统。在计算当前状态时,一些用于求解SDE的数字算法会考虑预测状态。因此,这样的系统是计算能力较弱的预期系统。

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