Concept:
For an eigenvalue \(\lambda\), eigenvectors are obtained from
\[
(A-\lambda I)X=0
\]
Given,
\[
A=\begin{bmatrix}1& 2\\0& 2\end{bmatrix}
\]
Since \(A\) is triangular, eigenvalues are the diagonal entries:
\[
1,\quad 2
\]
Step 1: Eigenvector for \(\lambda=1\).
\[
A-I=
\begin{bmatrix}0& 2\\0& 1\end{bmatrix}
\]
Let eigenvector be
\[
\begin{bmatrix}xy\end{bmatrix}
\]
Then,
\[
2y=0
\]
\[
y=0
\]
Taking \(x=1\),
\[
\begin{bmatrix}10\end{bmatrix}
\]
So,
\[
a=0
\]
Step 2: Eigenvector for \(\lambda=2\).
\[
A-2I=
\begin{bmatrix}-1& 20& 0\end{bmatrix}
\]
So,
\[
-x+2y=0
\]
\[
x=2y
\]
Taking \(x=1\),
\[
y=\frac{1}{2}
\]
So,
\[
b=\frac{1}{2}
\]
Step 3: Find \(a+b\).
\[
a+b=0+\frac{1}{2}
\]
\[
a+b=\frac{1}{2}
\]
Step 4: Final answer.
\[
\boxed{\frac{1}{2}}
\]