Strictly diagonally dominant matrices in numerical

matricesnumerical methods

I am trying to find all values for $\alpha$ and $\beta$ for which

$ A(\alpha, \beta)=
\left[
\begin{matrix}
3&0&-2\\\alpha&3&2\\-2&2&\beta
\end{matrix}
\right]
$

is strictly diagonally dominant.

Here are my workings, I wanted to see if I was using the correct definition for strictly diagonally dominant as this is different then just diagonally dominant.

A $nxn$square matrix is strictly diagonally dominant matrix if

$$|a_{ii}| > \sum_{j=1,i\ne j}^{n}|a_{ij}|$$

for $i = 1,2,…,n$

So for each row the absolute value of the diagonal element is strictly greater than the sum of the absolute values of the rest of the elements of that row.

My workings:

row $2$: is $|a_{22}|>|a_{21}|+|a_{23}|$.

$|a_{22}| = |3| = 3$
$|a_{21}|+|a_{23}| = |\alpha| + |2| < 3$.
Then $0\leq \alpha < 1$

row $3$: is $|a_{33}|>|a_{31}|+ |a_{32}|$
$|a_{33}| = |\beta|$
$|a_{31}|+ |a_{32}| = |-2| + |2| = 4$
Then $\beta >4$ and $\beta <-4$

Am I using the definition correctly? Am I evaluating the absolute values correctly?

Best Answer

You are using the definition correctly, but your absolute values for the first row are slightly off.

Assuming these are real valued matrices, for row 1, we need $|\alpha | + |2| < |3|$ $ \implies |\alpha| + 2< 3 $ $ \implies |\alpha| < 1 $ $\implies -1 < \alpha < 1$.

For row 2, you are are correct: $|-2| + |2| < |\beta | \implies 4 < | \beta | \implies \beta < -4 \text{ or } 4 < \beta$.

To be clear the matrix $A(\alpha, \beta )$ is strictly diagonally dominant if and only if both of these conditions are met: $\alpha \in (-1, 1)$ and $\beta \in (-\infty, -4) \cup (4, \infty)$.