7.8 Problems
Problem 1. Let u1,…,uk ∈ℝn be a set of linearly independent and pairwise orthogonal vectors. Show that the linear transformation
is an orthogonal projection.
Problem 2. Let u1,…,uk ∈ℝn be a set of linearly independent vectors, and define the linear transformation
Is this a projection? (Hint: Study the special case k = 2 and ℝ3. You can visualize this if needed.)
Problem 3. Let V be an inner product space and P : V →V be an orthogonal projection. Show that I −P is an orthogonal projection as well, and
holds.
Problem 4. Let A,B ∈ℝn×n be two square matrix that are written in the block matrix form
where A1,1,B1,1 ∈ℝk×k, A1,2,B1,2 ∈ℝk×l, A2,1,B2,1 ∈ℝl×k, and A2,2,B2,2 ∈ℝl×l.
Show that
Problem 5. Let A ∈ℝ2×2 be the square matrix defined by
(a) Show that the two eigenvalues of A are