Answer:
(a) To show that Pb = b for every b ∈ C(A), we need to demonstrate that the projection matrix P projects any vector b onto the column space of A, resulting in b itself.
First, let's consider the expression Pb. We have:
Pb = A(AᵀA)⁻¹Aᵀb
Since b ∈ C(A), there exists a vector x such that Ax = b. Substituting this into the equation, we get:
Pb = A(AᵀA)⁻¹Aᵀ(Ax)
= A(AᵀA)⁻¹(AᵀA)x
= Ax
= b
Therefore, Pb = b for every b ∈ C(A).
In terms of projections, this property means that the projection of any vector b onto the column space of A will result in the vector b itself if b is already in the column space of A. This is because the projection matrix P projects vectors onto the column space of A, and if b is already in that column space, the projection will preserve b.
(b) Now, let's consider the case when b ∈ C(A)⊥, which means b is orthogonal to the column space of A. We want to show that in this case, Pb = 0.
For b ∈ C(A)⊥, there exists a vector y such that Aᵀy = b. Let's substitute this into the expression for Pb:
Pb = A(AᵀA)⁻¹Aᵀb
= A(AᵀA)⁻¹Aᵀ(Aᵀy)
= A(AᵀA)⁻¹(AᵀA)y
= Ay
Since y is orthogonal to the column space of A, Ay = 0.
Therefore, Pb = Ay = 0 when b ∈ C(A)⊥.
This property means that if b is orthogonal to the column space of A, the projection of b onto the column space using the matrix P will result in the zero vector.
(c) Geometrically, in the case where C(A) is a plane through the origin in R³, part (a) can be illustrated as follows: If b is in the plane defined by C(A), projecting b onto the column space of A will simply result in b itself, as it is already in the plane.
In part (b), when b ∈ C(A)⊥, it means b is orthogonal to the plane defined by C(A). The projection of b onto the column space of A will result in the zero vector because b is perpendicular to the entire plane.
Visually, part (a) shows that the projection of a vector onto a plane it lies on results in the vector itself, while part (b) demonstrates that the projection of a vector orthogonal to the plane onto the plane results in the zero vector.
Explanation: