Hello everyone I just want to verify if my proof is correct as I'm very worried that it's not: Thanks so much.
Question: Let $A$ be a square matrix and let $\lambda$ be a complex number for which $|\lambda| >\|A\|$, where $\|\cdot \|$ denotes some induced matrix norm. Show that the matrix $\lambda I-A$ is nonsingular and that
$({\lambda I-A})^{-1}= \frac{1}{\lambda}\sum_{k=0}^{\infty}\frac{1}{\lambda^{k}}A^k$
Proof: Since $\|A\| \geq 0$ and $|\lambda| >\|A\|$ implies $\lambda$ implies $\lambda\neq 0$ $\|\frac{1}{\lambda}A\|<1$
$\sum_{k=0}^{\infty}\frac{1}{\lambda^{k}}A^k$ converges. Call $C=\frac{1}{\lambda}\sum_{k=0}^{\infty}\frac{1}{\lambda^{k}}A^k$
Now: $({\lambda I-A})C={\lambda}C-AC =\sum_{k=0}^{\infty}\frac{1}{\lambda^{k}}A^k -\sum_{k=0}^{\infty}\frac{1}{\lambda^{k+1}}A^{k+1}=I$.
Obviously I would also have to show that $C({\lambda I-A})=I$ as well, but it reduces to the same two series subtracted from each other. The problem I'm having is understanding why the two series subtracted above=Identity. I know that that they should., I'm just not sure why exactly. Any help would be much appreciated. Thank you.
\begin{align} &\sum_{k=0}^\infty \frac{1}{\lambda^k}A^k - \sum_{k=0}^\infty \frac{1}{\lambda^{k+1}}A^{k+1}\\ &= \left(I+ \sum_{k=1}^\infty \frac{1}{\lambda^k}A^k\right) - \sum_{l=1}^\infty \frac{1}{\lambda^{l}}A^{l}\\ &=I+\left( \sum_{k=1}^\infty \frac{1}{\lambda^k}A^k- \sum_{l=1}^\infty \frac{1}{\lambda^{l}}A^{l}\right)\\ \\&=I \end{align}
where I have let $l=k+1$.