I'm dealing with a set of nonlinear coupled PDEs that have the form:
\begin{align} \frac {\partial y_1}{\partial t} &= y_2y_3 - y_1 \tag{1}\\ \frac {\partial y_2}{\partial t} &= y_1y_3 - y_2 \tag{2}\\ \frac {\partial^2 y_3}{\partial t^2} - \frac {\partial y_3}{\partial t} &= \frac {\partial^2 y_3}{\partial z^2} + \frac {\partial y_3}{\partial z} + \frac {\partial^2 y_2}{\partial z^2} + \frac {\partial y_2}{\partial z} - \frac {\partial^2 y_2}{\partial t^2} + \frac {\partial y_2}{\partial t} \tag{3} \end{align}
with initial/boundary conditions:
\begin{align} y_1(z,0) &= 10^{-5}\\ y_2(z,0) &= 10^4\\ y_3(z,0) &= 0\\ \frac {\partial y_3}{\partial t} (z,0) &= 0\\ y_1(0,t) &= 10^{-5}e^{-t}\\ y_2(0,t) &= 10^{4}e^{-t}\\ y_3(0,t) &= 0\\ \frac {\partial y_3}{\partial z} (0,t) &= 0 \end{align}
An initial approach has been to use a finite difference scheme. One being where I simply use a method of lines and treat it as a set of ODEs. But with this setup, I am having trouble formulating the above equations in such a way to actually use a stiff solver such as Gear's method since I lack an explicit expression for $$\frac {\partial y_3}{\partial t}$$
By taking the time derivative of $(2)$, I can "simplify" $(3)$ to:
$$ \frac {\partial^2 y_3}{\partial t^2} + (y_1-1) \frac {\partial y_3}{\partial t} = \frac {\partial^2 y_3}{\partial z^2} + \frac {\partial y_3}{\partial z} + \frac {\partial^2 y_2}{\partial z^2} + \frac {\partial y_2}{\partial z} + \frac {\partial y_2}{\partial t} - y_3 \frac {\partial y_1}{\partial t} $$
but that still doesn't help too much.
Any suggestions on methods/approaches to solve the above equations?