Suppose $T : V \rightarrow V$ is a linear map defined as $T^{2} = I$ where $I$ is the identity transformation.
I need to show that:
A) $\thinspace \thinspace \thinspace \mathrm{im}\left(T -I \right) \subseteq \mathrm{ker}\left(T + I \right)$
as well as
B) $\thinspace \thinspace \thinspace \mathrm{im}\left( T + I \right) \subseteq \mathrm{ker}\left(T - I \right)$.
I'm not sure what they mean by the addition and subtraction of two transformations. For A Do we start off by letting $v \in V$ and then applying $T(v)$ and $I(v)$ resulting in $T(v) - I(v) = T(v) -v$? And then we apply the transformation again: $T\left[T(v) -v \right] = T^{2}(v) - T(v) = I(v) - T(v) = v - T(v)$? I'm lost after that.