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Three problems related to linear algebra. The first problem involves solving for X given matrices A, B, and X. The second problem requires finding a basis for the column space and null space of a matrix. The third problem involves change of basis and requires finding matrices A, P, and B. step-by-step solutions to each problem.
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(1) Invertible matrices.
Suppose A, B, and X are matrices that satisfy the relation AX − A = B, where
1 3 −^
2 3
1 3 − 1 2 0
(^) and B =
Solve for X. answer: Solving for X symbolically, we see that AX = B + A ⇒ X = A−^1 (B + A) = A−^1 B + I. We not compute A−^1 :
1 3 −^
2 3
1 3 0 1 0 − 1 2 0 0 0 1
hence
Now solving for X: X = A−^1 B + I
(2) Column space and null space of a matrix.
Let
Find a basis for Col(A) and Nul(A).
1
answer: You can verify that
rref(A) =
Hence a basis for Col(A) is
From the reduced matrix, we also see that
x 1 x 2 x 3 x 4 x 5
= x 3
so a basis for Nul(A) is
(3) Change of basis.
Let T : R^2 → R^2 be the linear transformation of the plane defined by T (x) = xv··vv v − 2 x, where
v =
, and let B =
(a) Find the matrix A that satisfies T (x) = Ax. (b) Find the matrix P that satisfies P [x]B = x. (c) Find the matrix B that satisfies [T (x)]B = B[x]B. (d) Verify that AP = P B. answer: (a) A =
T (e 1 ) T (e 2 )
, where {e 1 , e 2 } is the standard basis for R^2. We compute:
T (e 1 ) =
T (e 2 ) =
so A =
(b) P =
v 1 v 2
, where B = {v 1 , v 2 }. Thus P =
(c) B =
[T (v 1 )]B [T (v 2 )]B
. We compute:
T (v 1 ) =
= v 1 , so [T (v 1 )]B =