Given $m \times m$ symmetric tridiagonal Toeplitz matrices $$M=\begin{pmatrix} 4 & 1 & & \\ 1 & 4 & \ddots & \\ & \ddots & \ddots & 1\\ & & 1 & 4\end{pmatrix}, \qquad A=\begin{pmatrix} 2 & -1 & & \\ -1 & 2 & \ddots & \\ & \ddots & \ddots & -1\\ & & -1 & 2\end{pmatrix} $$ determine the maximal and minimal eigenvalues of $$F = M + h^{-\alpha} A$$ with $\alpha \in \mathbb{Z}, h=\frac{1}{m+1}$ when $\mu_j = 4 + 2\cos(jh\pi)$ are the eigenvalues of $M$ and $\eta_j = 2 - 2\cos(jh\pi)$ are the eigenvalues of $A$ with $j=1,\dots, m$.
I guess it is $\lambda_j=4+2\cos(jh\pi) + h^{-\alpha}(2-2\cos(jh\pi))$ but I cannot show it. To determine the eigenvalues of
$$M=\begin{pmatrix} 4 & 1 & & \\ 1 & 4 & \ddots & \\ & \ddots & \ddots & 1\\ & & 1 & 4 \\ \end{pmatrix}$$
I used the ansatz $\det(M-\mu_jI)=\det(J-(\mu_j-4)I)$ with
$$J=\begin{pmatrix} 0 & 1 & & \\ 1 & 0 & \ddots & \\ & \ddots & \ddots & 1\\ & & 1 & 0 \\ \end{pmatrix}$$
for which the eigenvalues are $\sigma_j=2\cos(jh\pi)$ and I hope $\mu_j=4+2\cos(jh\pi)$ is correct! The eigenvalues of $A$ were already given. The maximal eigenvalue of $M$ is $\mu_1$ but the maximal eigenvalue of $A$ is $\eta_m$.
I need to show that the spectral condition $\kappa(F)=\frac{\lambda_{max}}{\lambda_{min}}$ in first approximation of $h$ (means with the big O notation) is $$\kappa(F)\sim \begin{cases} 3-6h^{-\alpha}, \alpha \leq -1\\ 1, \alpha=0 \text{ (done})\\ \frac{2}{3}h^{-1}, \alpha=1 \\ \frac{4}{6+\pi^2}h^{-2}, \alpha=2 \\ \frac{4}{\pi^2}h^{-2}, \alpha\geq 3 \end{cases}$$
Consider $\alpha \leq -1$, then it is $$\kappa(F)=\frac{\lambda_{\max}}{\lambda_{\min}}=\frac{4+2h^{-\alpha} +2\cos(\pi h)(1-h^{-\alpha})}{4+2h^{-\alpha} -2\cos(\pi h)\,(1-h^{-\alpha})} \sim \frac{4+2h^{-\alpha} +2(1-h^{-\alpha})}{4+2h^{-\alpha} -2\,(1-h^{-\alpha})} $$ since $$cos(h\pi)=1-O(h^2)$$ with $\alpha \leq -1$. I cannot show that $\kappa(F)=3-6h^{-\alpha}$ for $\alpha\leq -1$...