Before my question let me briefly describe a simplified version of the dynamical system I'm working with. Suppose that I have a density function $m(\boldsymbol{x},t)$, that describes the abundance of some quantity in a vector space $\Omega = [a,b]^{n}$. Now suppose that the density at each point in vector space changes over time, with a rate that may be dependent on the presence/absence of density at every other point in space


$$
\partial\_{t}m(\boldsymbol{x},t) = m(\boldsymbol{x},t)F(\boldsymbol{x},?),
$$


where $F$ might be something like


$$
F(\boldsymbol{x},?) = \int\_{\Omega} m(\boldsymbol{y},t) k(\boldsymbol{x}, \boldsymbol{y}) \; d\boldsymbol{y}
$$


i.e. a function of the focal point of interest $\boldsymbol{x}$ and all other different points $\boldsymbol{y}$ in vector space, where $k$ is some kind of kernal(?). 


**Question**: 
What notation should I use to refer to the state of the system over the whole space? What should replace my question mark in $F(\boldsymbol{x},?)$, should it be $F(\boldsymbol{x},m)$, or maybe $F(\boldsymbol{x},\Omega)$, or something else? 



Help with notation for the state of a dynamical system defined by a PDE
For your first question, consider the following notation: At any given time, say $t$, the state of your system *is* the function $q\_t : \Omega \mapsto \mathbb{R}^{+}$, where $q\_t(x) \equiv m(x, t)$. How can we succinctly describe its time evolution? It is actually pretty simple:


$$ \frac{dq}{dt} = q \cdot (K q) $$


where $\cdot$ is ordinary multiplication and $K$ is the integral transform defined by the kernel $k : \Omega \times \Omega \mapsto \mathbb{R}$.


Note that the derivative $\frac{d}{dt}$ is now defined in an infinite dimensional function space. One can straightforwardly define this derivative using the traditional form


$$ \frac{dq}{dt} \equiv \lim\_{\tau \rightarrow t} \frac{q\_\tau - q\_t}{\tau - t} , $$


where the limit is defined via a suitable norm in your function space. See [these lecture notes](http://www.stat.cmu.edu/~cshalizi/754/notes/lecture-12.pdf) for details.


