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Let $E$ be a separable Banach space, consider a centered $E$-valued Gaussian process $\{x_t,t\ge 0\}$ that satisfies \begin{equation} \mathbb{E}\phi(x_s)\psi(x_t)=R(s,t)K(\phi,\psi),\quad \phi,\psi\in E^*, s,t\ge 0, \end{equation} where $R,K$ are some (covariance) functions.

I'm trying to find some literature about such processes. This decomposition itself is quite common, the most notable example being an $E$-valued Brownian motion, in which case $R(s,t)=s\wedge t$, and $K$ can be the covariance function of an arbitrary Gaussian measure on $E$. Has there been any study on the properties of such processes in general case?

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  • $\begingroup$ In many cases, you would be able to write such a process as $\int_0^t H(s,t)\,dW(s)$ for some real-valued kernel $H$ and a Wiener process with spatial covariance $K$. Whether such an expression is useful or not may depend on details of $R$. $\endgroup$ Commented May 8 at 10:04

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