# symmetric matrix - definiteness of the matrix

$A=[a_{i,j}]\in\mathbb{R}^{n,n}$ is positive definit. Then:
a. $a_{i,j} > 0$ for $i,j=1,...,n$
b. $a_{i,i} > 0$ for $i=1,...,n$
c. matrix $A$ is nonsingular.

c. is true, it is easy thanks to Sylvester criterion. In particular, $\det A_n = \det A > 0$

a. is not true, counterexample: $\left[ \begin{array}{ccc} 5 & -2 \\ -2 & 5 \\ \end{array} \right]$ is symettric and determinants = $5, 21$. So matrix is symmetric and positively definit, but $-2 < 0$.

b. it is false, conterexample:
$\left[ \begin{array}{ccc} -5 & -2 \\ -2 & -5 \\ \end{array} \right]$

Am I ok?

• You counterexample for b) is not valid, since your matrix is not positive definit. ($det A_1 = -5 < 0$) – Jakube Aug 5 '16 at 9:22

For (b) it is not ok. Recall that (strictly) pos def means $x^T A x> 0$ for any non-zero vector $x$ and you may try with $x=e_i$ (canonical basis).
For (c) it is fine. A bit more details: pos def is quivalent to all the principal minors being positive. So in particular pos def implies that the full determinant is (strictly) positive so $A$ is non-singular. But your argument is fine.