In Stochastic Volatility Modeling, L. Bergomi introduces in Chapter 7 the pricing equation (7.4) : $$ \frac{dP}{dt}+(r-q)S\frac{dP}{dS}+\frac{\xi^t}{2}S^2\frac{d^2P}{dS^2}+\frac{1}{2}\int_t^Tdu\int_t^T du'\nu(t,u,u',\xi)\frac{d^2P}{\delta\xi^u\delta\xi^{u'}}+\int_t^T du \mu(t,u, \xi)S\frac{d^2P}{dS\delta\xi^u}=rP, $$ where $P$ is the time-t no-arbitrage price of a European contingent claim of maturity $T>t$ and $\xi$ is an infinite set of stochastic processes, each stochastic process $\xi^u$ being indexed by a time $u>0$. Intuitively, the derivation of the above makes sense. However, I am looking for a more rigorous understanding of this formula.
Specifically, $P$ is dependent on an entire set of stochastic processes $\{\xi^u-\text{stochastic process up to time }u|u\geq0\}$. It is as if $P$ depends on an infinite number of stochastic processes (not just their terminal values). In this context, I am trying to understand what derivatives such as:
- $\frac{d^2P}{\delta\xi^u\delta\xi^{u'}}$
- $\frac{d^2P}{dS\delta\xi^u}$
even mean. Is there a way to rigorously define mathematically such notations/constructs?