I am reading through the paper "Dynamics of Membranes Driven by Actin Polymerization" by Nir S. Gov and Ajay Gopinathan. In it a set of coupled differential equations for a mathematical model is given (I have slightly modified the notation for clarity):
$$\frac{\partial n}{\partial t}=D\nabla^2n-\Lambda\kappa H\nabla^4h+\nabla\cdot f_n$$ $$\frac{\partial h}{\partial t}=-\int\text dr'\lambda(r-r')\kappa\nabla^4h(r')+An$$
where $n$ and $h$ are both functions of space and time, $D$, $\Lambda$, $\kappa$, $H$, and $A$ are all constant parameters, $f_n$ is a thermal noise term, and $\lambda$ is an "interaction kernel" whose Fourier transform in q-space is $1/4\eta q$ such that the Fourier transform of the integral ends up being $\kappa q^3/4\eta\cdot\bar h\equiv\omega_q\bar h$
The paper then says they solve this by "first Fourier transforming both equations, and using solutions of the form: $e^{-i(\omega t+q\cdot r)}$. This gives the following system of equations in matrix form
$$ \begin{pmatrix}-i\omega+\omega_D & -Bq^4 \\ -A & -i\omega+\omega_q\end{pmatrix}\begin{pmatrix}n \\ h\end{pmatrix}=\begin{pmatrix}-if_n q \\ 0\end{pmatrix} $$
where $B\equiv-\Lambda\kappa H$ and $\omega_D=Dq^2$
(as an aside, I am confused by what they mean by "using solutions of the form: $e^{-i(\omega t+q\cdot r)}$". Are they just saying the form of the Fourier transform they used?).
Then they go on to say
The dispersion equation of $n$ and $h$, respectively, is given by equating the determinant of the matrix to zero. The two solutions to the eigenvalue equation for $\omega$ are given by...
and then they give the solutions $\omega_n$ and $\omega_h$ for $\omega$ that make the determinant zero and claim that the time-dependent solutions $(n,h)(t)$ are proportional to $\exp(-i\omega_{n,\,h}t)$
I see how the matrix equation resembles an eigenvalue problem with eigenvalues of $i\omega$, but I am not familiar with how the values of $\omega$ that make the determinant $0$ determines the time evolution of the solutions in the way given. Additionally, I have only ever seen solutions being obtained by finding the eigenvalues of the matrix that describes the system, not interpreting the matrix equation as an eigenvalue problem itself.
So, how does solving for when the determinant is equal to zero determine the dispersion equations, and how does that lead to the proposed behavior of the time-dependence?