An example of Matrix exponential

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If $$M=\begin{pmatrix} 1 & 1 & 0\\ 0 & 1 & 1\\ 0 & 0 & 1\\ \end{pmatrix}$$ is a matrix and $e^M=\sum_\limits{n=0}^{\infty}\frac{M^n}{n!}$ then find $\frac{1}{e}\sum_\limits{i=1}^{3}\sum_\limits{j=1}^{3} b_{ij}$ where $b_{ij}$ are entries of $e^M$.

I know the definition of $e^M$ and how to find $e^M$ for diagonalisable matrix, nilpotent matrix but I've no idea how to solve this please give some hints to solve this problem. Thanks in advance.

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We can write $M=I+N$ where

$$ I = \begin{pmatrix}1&0&0 \\ 0&1&0 \\0&0&1 \end{pmatrix} \qquad N = \begin{pmatrix}0&1&0 \\ 0&0&1 \\0&0&0 \end{pmatrix} $$

Since $I$ is the identity, $N$ and $I$ commute; hence $e^{I+N} = e^I e^N$ and $N$ is nilpotent with index $3$. So, $N^3=0$

$$ e^I e^N = eI\cdot(I+N+\frac{1}{2}N^2) = e\begin{pmatrix}1&1&\frac{1}{2} \\ 0&1&1 \\0&0&1 \end{pmatrix}$$

Thus the sum of the entries of the matrix $M$ is $\displaystyle 5.5e$.

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HINT

You know how to diagonalize a matrix, that is, to find a diagonal matrix $D$ and an orthogonal matrix $P$ (which will be the matrix whose columns are the eigenvectors of $M$) such that $$ M = PDP^{-1} $$ ($D$ will have the eigenvalues of $M$ on the diagonal elements.)

Then for all $k$, $$ M^k = PD^kP^{-1} $$ since pairs of $P^{-1}P$ cancel out except at the left and right sides of the product.

Finally, notice how this lets you relate $e^M$ to $P e^D P^{-1}$ since you know how to exponentiate the diagonal matrix $D$.