(c) (2 pta.) Now, at one step during Gaussian reduction, the augmented matrix from part (b) looks like this. What would the next pivot be? (circle it) 0 3/5 9/5 1 -2/5 9/5 0 (28/5) 99/5 (d) (2 pts.) Now read off the solution from the fully reduced augmented matrix. 0 0-9/28 0 10 45/14 0 0 1 99/28 (e) (1 pt ) When we do Gaussian reduction, we use row operations to clear columns of our augmented matrix. Performing row operations on a matrix can be realized as multiplication on the _Jeff by a square matrix. (fill blank - right or left?) (f) (3 pts. ) Consider matrix A 2 2 - Show that 4-1 - _, 9] (g) (3 pta.} Use the previous part to solve the following syatern of linear equations. No credit will be given for solving the system wing other methods. You may use the fact that A. A are inverses even if you did not show it in part (!). Iz + Oy = 2 -12 + ly -1 CR ( * ,y ) = (2,6 ) 3