I have been given the matrix
$$A = \begin{pmatrix} 1 & 8 & -17 \\ 3 & 2 & -2 \\ -3 & -6 & 9 \\ 1 & -4 & 7 \\ \end{pmatrix} $$
which is the matrix of the linear transformation T. I have also been given the vector
$$v = \begin{pmatrix} 3 \\ 0 \\ -3 \\ \end{pmatrix} $$
and am supposed to calculate T(v). Overall, I'm a bit confused on how to solve this honestly, but I'm thinking about somehow making row reductions for [A v], but in order to do this I'll have to transpose A to get the dimensions right, does that make any sense or have I gotten it all wrong?
Any input is very much appreciated!
Thanks, Nick
The product $A\cdot v$ is a new vector the coordinates thereof are the dot products of the rows of $A$ by the vector $v$.
For instance, the first coordinate of $A\cdot v$ is $$1\cdot 3+8\cdot 0 -17\cdot (-3)= 54.$$
Similarly, the coefficients of the product of an $m{\times} n$ matrix $A$ by an $n{\times}p$ matrix $B$ are the dot products of the rows of $A$ by the columns of $B$.