Let $A\in M_n$ be a square matrix and $z\in \mathbb{C}$. Let $\lambda(A)$ denotes the eigenvalues of $A$.
How to prove that $\lambda(zA)=z\lambda(A)$?
Let $A\in M_n$ be a square matrix and $z\in \mathbb{C}$. Let $\lambda(A)$ denotes the eigenvalues of $A$.
How to prove that $\lambda(zA)=z\lambda(A)$?
If I understand your question correctly consider the following.
Let $\lambda$ be an eigenvalue of $A$ with corresponding eigenvector $e$ then for $zA$ we have.
$(zA)e=z(Ae)=z(\lambda e)=(z\lambda)e$
Thus $z \lambda$ is an eigenvalue for $zA$. Now can you see why an eigenvalue for $zA$ is an eigenvalue for $A$?
For $z\neq 0$ we have
$$\det(\lambda I-A)=\det\big(\tfrac{1}{z}(z\lambda I-zA)\big)=\tfrac{1}{z^n}\det\big((z\lambda)I-zA\big)$$
Edit: It follows that $\det(\lambda I−A)=0$ if and only if $\det((z\lambda)I−zA)=0$, i.e. $\lambda$ is an eigenvalue of $A$ if and only if $z\lambda$ is an eigenvalue of $zA$. The advantage of this approach is that it also shows that the (algebraic) multiplicity of the eigenvalues are equals.
However, note that the approach of An.Ditlev is simpler and can be nicely generalized as follow:
Let $z_1,\ldots,z_n\in \Bbb C$ and $\alpha_1,\ldots,\alpha_n\in \Bbb N$ and let $v\neq 0$ be such that $Av=\lambda v$, then we have
$$\Big(\sum_{k=1}^nz_kA^{k}\Big)v = \sum_{k=1}^nz_k(A^{k}v)= \sum_{k=1}^nz_k(\lambda^{k}v)=\Big(\sum_{k=1}^nz_k\lambda^{k}\Big)v$$
showing that if $\lambda$ is an eigenvalue of $A$, then $\sum_{k=1}^nz_k\lambda^{k}$ is an eigenvalue of $\sum_{k=1}^nz_kA^{k}$. Moreover, note that if $A$ is invertible, then the same holds also for exponent $z_1,\ldots,z_n\in \Bbb Z$.
This happens for the nex reason, if A is diagonaliyable, then:
$A=Q\Lambda Q^{-1}$. So then, diagonalizing $zA$:
$zA=zQ\Lambda Q^{-1}=Q(z\Lambda)Q^{-1}=Q\Lambda_z Q^{-1}\rightarrow \Lambda_z=z\Lambda$, implying that $\lambda(zA)=z\lambda(A)$.