(Given only for problems that are not straightforward computation; contact
the instructor if you still have questions about the others.)
Section 2.1 problem 1
A transformation T : R
3 → R
3
is linear only if it satisfies T(~0) = ~0. The
transformation is not linear. For x1 = x2 = x3 = 0 we get y2 = 2, not y0 = 0.
However, the transformation can be written
T(~x) =


0 2 0
0 1 0
0 2 0




x1
x2
x3

 +


0
2
0

.
Outside of algebra, adding a constant vector still counts as “linearâ€.
Section 2.1 problem 1
A linear transformation T : R
3 → R
3 must satisfy T(α · ~x) = α · ~x for all α ∈ R.
But here
2T(


1
0
1

) = 2


−1
1
1

 =


−2
2
2


which is not the same as
T(2


1
0
1

) = T(


2
0
2

) =


−2
4
2

.
Note: alternatively one could check that another property of linear transformations,
T(~x + ~y) = T(~x) + T(~y),