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首页> 外文期刊>Japan journal of industrial and applied mathematics >Derivation formulas of noncausal finite variation processes from the stochastic Fourier coefficients
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Derivation formulas of noncausal finite variation processes from the stochastic Fourier coefficients

机译:随机傅里叶系数的非共脉冲有限变化过程的推导式公式

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摘要

Let be a real Brownian motion on a probability space Our concern is whether and how a noncausal type stochastic differential determined from its stochastic Fourier coefficients (SFCs for short) with respect to a CONS of This problem was proposed by Ogawa (Stochastics and has been studied by Ogawa and Uemura (Ogawa in Ind J Stat 77-A(1):3045, 2014, Ind J Stat 80-A:267-279, 2018; Ogawa and Uemura in J Theor Probab 27:370-382, 2014, Bull Sci Math 138:147-163, 2014, RIMS Kokyuroku 1952:128134, 2015, J Ind Appl Math 35-1:373-390, 2018). In this paper we give several results on the problem for each of stochastic differentials of Ogawa type and Skorokhod type when [0, L] is a finite or an infinite interval. Specifically, we first give a condition for a random function to be determined from the SFCs and apply it to obtain affirmative answers to the question with several concrete derivation formulas of the random functions.
机译:让我们对概率空间进行真正的布朗运动我们的关注是如何以及如何通过OGAWA(随机化并研究了 由Ogawa和Uemura(Ind J STAT 77-A(1):3045,2014,Ind J STAT 80-A:267-279,2018; ogawa和uemura在J Theor Probab 27:370-382,2014,公牛 SCI Math 138:2014年,RIMS Kokyuroku 1952:128134,2015,J Ind Appl Math 35-1:2018)。在本文中,我们给出了几件ogawa随机差异问题的几个结果 类型和Skorokhod类型当[0,l]是有限或无限间隔。具体来说,我们首先给出一个随机函数的条件,以便从SFC中确定,并应用它以获得具有多个具体推导公式的问题的肯定答案 随机函数。

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