
Suzana S. answered 03/23/20
PhD in Mathematics, currently teaching at university
1) Here you need to use det(AB)=det(A)det(B). Since det(A) = 2 and det(B) = 4 we get det(AB)=2·4=8.
2) Note that 2A2 =2I · A2, where I is the 3×3 identity matrix. Using the formula det(AB)=det(A)det(B) we get det(2A2) = det(2I · A2)= det(2I) · det(A2). Since det(2I)=23=8 and det(A2)= det(A) · det(A) = 2 · 2=4, you get det(2A2) =8 · 4 =32.
3) Since A·A-1=I we have det(A·A-1)=det(I). Since det(A·A-1)=det(A) ·det(A-1) and det(I)=1, we get
det(A) ·det(A-1) = 1. This implies det(A-1) =1/ det(A). Also, det(BT)=det(B) since the determinant of a matrix is the same as the determinant of its transpose.
Thus det(A-1BT)= det(A-1) · det(BT)= (1/ det(A) ) · det(B) = (1/2) · 4 = 2.
4) The rank of a matrix is defined as the maximum number of linearly independent column vectors in the matrix. Here A is a 3×3 matrix, so it has 3 column vectors. Since det(A)=2 is nonzero its 3 column vectors are linearly independent. Thus rank(A) = 3.
5) null(B) denotes the nullspace of B. It is the set of all vectors X such that BX=0. Since det(B) =4 is nonzero, B is invertible. Let B-1 denote its inverse. We multiply both sides of the equation BX=0 by B-1.
⇒ B-1BX=B-10 ⇒ IX =0 ⇒ X=0. Thus null(B) = {0} and dim(null(B)) = 0.
Note. If a matrix M has nonzero determinant then it is invertible and dim(null(M))=0.