Consider a 2 × 2 matrix A with A² = A. a. If w is in the image of A, what is the relationship between w and Aw? b. What can you say about A if rank(A) = 2? What if rank(A) = 0? c. If rank(A) tion T (x) = Ax is the projection onto im(A) along ker(A). See Exercise 2.2.33. 1, show that the linear transforma-

Linear Algebra: A Modern Introduction
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ISBN:9781285463247
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Chapter4: Eigenvalues And Eigenvectors
Section4.6: Applications And The Perron-frobenius Theorem
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Please answer part C.

48. Consider a 2 × 2 matrix A with A2 = A.
a. If w is in the image of A, what is the relationship
between w and Aw?
b. What can you say about A if rank(A) = 2? What if
rank(A) = 0?
c. If rank(A) =
tion T (x) = A is the projection onto im(A) along
1, show that the linear transforma-
ker(A). See Exercise 2.2.33.
Transcribed Image Text:48. Consider a 2 × 2 matrix A with A2 = A. a. If w is in the image of A, what is the relationship between w and Aw? b. What can you say about A if rank(A) = 2? What if rank(A) = 0? c. If rank(A) = tion T (x) = A is the projection onto im(A) along 1, show that the linear transforma- ker(A). See Exercise 2.2.33.
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