Sum of projection matrices

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For the decomposition, where $I$ is the identity matrix and $P_{0}$ and $P_{1}$ are projection matrices, and the decomposition is: $I = P_{0}+(P_{1}-P_{0})+(I-P_{1})$

The statement is that all the terms on the right hand side are projection matrices. I struggle to prove that the middle term will be a projection matrix. It is clearly symmetric, but I can't figure out how to prove idempotent. The cross terms are throwing me off.

My question is really, will all the terms be projection matrices for all projection matrices $P_{0}$ and $P_{1}$, or does it depend on $P_{0}$ and $P_{1}$.

I'm using this in Cochrans theorem to show independnence

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On

$P_0(P_0(x)) = P_0(x)$,

$(I-P_1)(I-P_1)(x) = (I-P_1)(x-P_1(x)) = I(x-P_1(x)) - P_1(x-P_1(x)) = Ix -IP_1(x) - P_1(x) + P_1(P_1(x))= x - P_1(x) - P_1(x) + P_1(x) = x-P_1(x) = (I-P_1)(x).$

$(P_1-P_0)(P_1-P_0)(x) = (P_1-P_0)(P_1(x) - P_0(x)) = P_1(P_1(x)-P_0(x)) - P_0(P_1(x)-P_0(x)) = P_1(P_1(x)) - P_1(P_0(x)) - P_0(P_1(x)) -P_1(P_0(x)) +P_0(P_0(x))= P_1(x) + P_0(x) = (P_1+P_0)(x)$

if projection matrices $P_0,P_1$ commute.

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If $P$ and $Q$ are orthogonal projectors, then $$ (P-Q)^2=P^2+Q^2-PQ-QP=P+Q-PQ-QP=(P-Q)+2Q-PQ-QP. $$ So $P-Q$ is an orthogonal projector if and only of $2Q=PQ+QP$.

If $P$ and $Q$ commute, this condition is equivalent to $Q=PQ$, that is, $(I-P)Q=0$. Hence, in this case, $P-Q$ is an orthogonal projection if and only if $\mathrm{ker}(P)\perp\mathrm{im}(Q)$.

Commutativity is not enough. Consider, e.g., $$ P=\begin{bmatrix}1&0\\0&0\end{bmatrix}, \quad Q=\begin{bmatrix}0&0\\0&1\end{bmatrix}. $$ Clearly, $$ P-Q=\begin{bmatrix}1&0\\0&-1\end{bmatrix} $$ is not an orthogonal projector.