$t=$ np$.$ linspace$($start$\_$time, end$\_$time, time$\_$steps$)$

Check your answers:

Write the matrix A as a $2$ d numpy array. Store it as the variable $A.$

$[15]$:

$\frac{?}{?}$#grade $(enter$ your code $in$ this cell $-DO$ NOT DELETE THIS LINE$)$

$A=np.$array $([[0,-\mathrm{.}1],-[-\mathrm{.}1,0]])$

Write the initial vector $x(0)$ as a $1$d float numpy array. Store it as the variable $x_{-}.$ Recall that you can specify the data type of the np$.$ array using the dtype argument.

$[34]$: