Let $X$ be a Banach space. Denote $$ L(X) = \{T:X\rightarrow X \mid T \text{ is linear and bounded} \}. \tag{1} $$ Then, for any $A\in L(X)$, why $$ |\lambda| > \limsup_{n\to\infty} {\|A^n\|}^{\frac{1}{n}} \tag{2} $$ imply $(\lambda I - A)^{-1} \in L(X)$?
I was stumped by this problem when reading a book on functional analysis. I find a lemma say that
If $T \in L(X)$ and $\|T\|<1$, then $(I-T)^{-1}\in L(X)$ and $(I-T)^{-1} = \sum_{k=0}^\infty T^k$.
Besides, the author says to use the Cauchy-Hadamard theorem, I think it should be that
Consider the power series $$ f(z) =\sum_{n=0}^\infty c_n (z-a)^n. $$ Then the radius of convergence $R$ of $f$ at $a$ is $$ \frac{1}{R} =\limsup_{n\to\infty} \left( {|c_n|}^{1/n} \right). $$
But I don’t know how to use them.