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If B is an idempotent matrix, and A=I-B,...

If B is an idempotent matrix, and `A=I-B`, then

A

`A^(2)=A`

B

`A^(2)=I`

C

`AB=O`

D

`BA=O`

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To solve the problem step-by-step, we will analyze the properties of the matrices involved and derive the required results. ### Given: - \( B \) is an idempotent matrix, which means \( B^2 = B \). - \( A = I - B \), where \( I \) is the identity matrix. ### Step 1: Find \( A^2 \) We start by squaring \( A \): \[ A^2 = (I - B)^2 \] Using the formula for the square of a binomial, we expand this: \[ A^2 = I^2 - 2IB + B^2 \] Since \( I^2 = I \) and \( IB = B \), we can rewrite it as: \[ A^2 = I - 2B + B^2 \] ### Step 2: Substitute \( B^2 \) Since \( B \) is idempotent, we know that \( B^2 = B \). Substituting this into our equation gives: \[ A^2 = I - 2B + B \] This simplifies to: \[ A^2 = I - B \] ### Step 3: Relate \( A^2 \) to \( A \) Recall that \( A = I - B \), so we can substitute \( A \) back into the equation: \[ A^2 = A \] This shows that \( A \) is also an idempotent matrix. ### Step 4: Find \( AB \) Next, we calculate \( AB \): \[ AB = (I - B)B \] Expanding this gives: \[ AB = IB - B^2 \] Again, using \( IB = B \) and \( B^2 = B \): \[ AB = B - B = 0 \] Thus, \( AB \) is the null matrix. ### Step 5: Find \( BA \) Now, we calculate \( BA \): \[ BA = B(I - B) \] Expanding this gives: \[ BA = BI - B^2 \] Using \( BI = B \) and \( B^2 = B \): \[ BA = B - B = 0 \] Thus, \( BA \) is also the null matrix. ### Conclusion From the steps above, we have derived the following results: 1. \( A^2 = A \) (A is idempotent) 2. \( AB = 0 \) (AB is the null matrix) 3. \( BA = 0 \) (BA is the null matrix) ### Final Answer: Thus, the statements that are true are: - \( A^2 = A \) - \( AB = 0 \) - \( BA = 0 \)

To solve the problem step-by-step, we will analyze the properties of the matrices involved and derive the required results. ### Given: - \( B \) is an idempotent matrix, which means \( B^2 = B \). - \( A = I - B \), where \( I \) is the identity matrix. ### Step 1: Find \( A^2 \) We start by squaring \( A \): ...
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