When checking if a numerical ODE solving method (euler,runge-kutta etc) is stable, we use the problem $y'=\lambda y$, and find the step size $h$ such that our method converges to zero as the number of time steps $n\to\infty$.
Question:
Intuitively, why do we use this ODE to find the stable region? Why don't we use another ODE?
This answer is highly inspired by:
Stability analysis is performed to study whether the numerical solution of the ODE $$\mathbf{y}' = \mathbf{A}(t, \mathbf{y}) + \mathbf{g}(t),\quad \mathbf{y}(0) = \mathbf{y}_0\in\mathbb{R}^d$$ blows up or stays bounded. To perform such an analysis, the ODE is simplified according to the following steps:
If the method you're using is stable for $y' = \lambda y$ for all $\lambda$ that are on the diagonal of $\mathbf{D}$, then you can use the method to approximate $\mathbf{z}$, and if your method is affine invariant (usually it is), you can compute $\mathbf{u}(T)$ at a final time $T$ by computing $\mathbf{z}(T)$ and multiplying it by $\mathbf{S}^{-1}$. This is why you consider $y' = \lambda y$ as a test case.
The limits of steps 1. and 2. are discussed in the paper I mentioned above.