Paul D. answered 03/29/21
PhD in Mathematics - Specializing in Linear Algebra
Solution.
1. The subset U∪V={x∈Rn | x∈U or x∈V} is not always a subspace of Rn.
Counterexample: Let U be the x-axis and V be the y-axis in R2. If is clear that U and V are subspace of R2, but U∪V is not a subspace of R^2 because u=(1,0)∈U and v=(0,1)∈V but u+v=(1,1)∉U∪V.
2. W = {A2 * x | x ∈ R2}, where A is a fixed, but arbitrary 2×2 matrix, is a subspace of R2.
Proof: We need to check the 3 conditions for a subspace.
(i) Clearly, 0=A20∈W.
(ii) Suppose u∈W and v∈W. Then u=A2x and v=A2y for some x, y∈R2. Then u+v=Ax+Ay=A(x+y)∈W.
(iii) Suppose u∈W and c∈R. Then u=A2x for some x∈R2. Thus cu=cA2x=A2(cx)∈W.
Since all the 3 conditions hold, W is a subspace of R2.
3. X = {x ∈ Rn | Ax = Bx}, where A and B are fixed, but arbitrary m×n matrices, is a subspace of Rn.
Proof. The matrix equation Ax = Bx is equivalent to (A-B)x=0. So X becomes the solution set of the homogeneous linear system (A-B)x=0 and so is a subspace of Rn.
Remark: For part 3, we used the fact that the solution set of a homogeneous linear system in n variables is a subspace of Rn. We can also prove part 3 by directly checking the 3 conditions (i), (ii), and (iiI) of a subspace, which is similar to part 2.