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arXiv 1012.2484math.PR
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巴拿赫空间值过程的广义协变分、伊藤公式及其应用

Generalized covariation for Banach space valued processes, Itô formula and applications

Cristina Di Girolami, Francesco Russo

摘要:

本文讨论了巴拿赫空间值过程(不一定是半鞅)的二次变差和协变差的一个新概念及相应的Itô公式。若$\X$和$\Y$分别取值于Banach空间$B_{1}$和$B_{2}$,且$χ$是$B_{1}$和$B_{2}$的射影张量积的对偶(记为$(B_{1}\hat{\otimes}_πB_{2})^{\ast}$)的合适子空间,则定义了$\X$和$\Y$的所谓$χ$ -协变.如果是$\X=\Y$,则$χ$ -协变称为$χ$ -二次变差。$χ$ -二次变差的概念是Métivier-Pellaumail和Dinculeanu引入的概念的自然推广,该概念对于许多应用来说过于限制。特别地,如果$χ$是整个空间$(B_{1}\hat{\otimes}_πB_{1})^{\ast}$,则$χ$二次变差与$B_{1}$值半鞅的二次变差一致.我们评估的$χ$ -协变的各种过程的几个例子$χ$与特别注意的情况下$B_{1}=B_{2}=C([-τ,0])$的一些$τ>0$和$\X$和$\Y$是\textit{window processes}。若$X$是实值过程,则称与$X$相关的窗口过程为由$X_t(y) = X_{t+y}$定义的$C([-τ,0])$值过程$\X:=X(\cdot)$,其中$y \in [-τ,0]$ .本文引入的Itô公式是建立一类$h=H(X_{T}(\cdot))$,$H:C([-T,0])\longrightarrow\R$型路径相依随机变量序列的Clark-Ocone型表示结果的重要工具,其中$X$是具有有限二次变差的不一定半鞅.该表示将链接到求解无限维偏微分方程的函数$u:[0,T]\times C([-T,0])\longrightarrow \mathbb{R}$。

英文摘要:

This paper discusses a new notion of quadratic variation and covariation for Banach space valued processes (not necessarily semimartingales) and related Itô formula. If $\X$ and $\Y$ take respectively values in Banach spaces $B_{1}$ and $B_{2}$ and $χ$ is a suitable subspace of the dual of the projective tensor product of $B_{1}$ and $B_{2}$ (denoted by $(B_{1}\hat{\otimes}_πB_{2})^{\ast}$), we define the so-called $χ$-covariation of $\X$ and $\Y$. If $\X=\Y$, the $χ$-covariation is called $χ$-quadratic variation. The notion of $χ$-quadratic variation is a natural generalization of the one introduced by Métivier-Pellaumail and Dinculeanu which is too restrictive for many applications. In particular, if $χ$ is the whole space $(B_{1}\hat{\otimes}_πB_{1})^{\ast}$ then the $χ$-quadratic variation coincides with the quadratic variation of a $B_{1}$-valued semimartingale. We evaluate the $χ$-covariation of various processes for several examples of $χ$ with a particular attention to the case $B_{1}=B_{2}=C([-τ,0])$ for some $τ>0$ and $\X$ and $\Y$ being \textit{window processes}. If $X$ is a real valued process, we call window process associated with $X$ the $C([-τ,0])$-valued process $\X:=X(\cdot)$ defined by $X_t(y) = X_{t+y}$, where $y \in [-τ,0]$. The Itô formula introduced here is an important instrument to establish a representation result of Clark-Ocone type for a class of path dependent random variables of type $h=H(X_{T}(\cdot))$, $H:C([-T,0])\longrightarrow\R$ for not-necessarily semimartingales $X$ with finite quadratic variation. This representation will be linked to a function $u:[0,T]\times C([-T,0])\longrightarrow \mathbb{R}$ solving an infinite dimensional partial differential equation.

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