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If A and B are square matrices of order `n ,` then prove that `Aa n dB` will commute iff `A-lambdaIa n dB-lambdaI` commute for every scalar `lambdadot`

A

`AB=BA`

B

`AB+BA=O`

C

`A=-B`

D

none of these

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To prove that two square matrices \( A \) and \( B \) of order \( n \) commute if and only if \( A - \lambda I \) and \( B - \lambda I \) commute for every scalar \( \lambda \), we will follow these steps: ### Step 1: Understand the Commutativity Condition We start with the definition of commutativity. Two matrices \( A \) and \( B \) commute if: \[ AB = BA \] ### Step 2: Assume \( A \) and \( B \) Commute Assume \( A \) and \( B \) commute, i.e., \( AB = BA \). We need to show that \( A - \lambda I \) and \( B - \lambda I \) also commute. ### Step 3: Compute \( (A - \lambda I)(B - \lambda I) \) Using the distributive property of matrix multiplication: \[ (A - \lambda I)(B - \lambda I) = AB - A\lambda I - \lambda IB + \lambda^2 I \] Since \( I \) is the identity matrix, we have: \[ = AB - \lambda A - \lambda B + \lambda^2 I \] ### Step 4: Compute \( (B - \lambda I)(A - \lambda I) \) Now compute the other product: \[ (B - \lambda I)(A - \lambda I) = BA - B\lambda I - \lambda IA + \lambda^2 I \] This simplifies to: \[ = BA - \lambda B - \lambda A + \lambda^2 I \] ### Step 5: Use the Commutativity of \( A \) and \( B \) Since \( AB = BA \), we can replace \( BA \) with \( AB \): \[ = AB - \lambda B - \lambda A + \lambda^2 I \] ### Step 6: Compare Both Results Now we have: 1. \( (A - \lambda I)(B - \lambda I) = AB - \lambda A - \lambda B + \lambda^2 I \) 2. \( (B - \lambda I)(A - \lambda I) = AB - \lambda B - \lambda A + \lambda^2 I \) Both expressions are equal, thus: \[ (A - \lambda I)(B - \lambda I) = (B - \lambda I)(A - \lambda I) \] ### Step 7: Assume \( A - \lambda I \) and \( B - \lambda I \) Commute Now we need to show the converse: if \( A - \lambda I \) and \( B - \lambda I \) commute for every scalar \( \lambda \), then \( A \) and \( B \) commute. ### Step 8: Set Up the Commutativity Condition Assume: \[ (A - \lambda I)(B - \lambda I) = (B - \lambda I)(A - \lambda I) \] ### Step 9: Expand Both Sides Expanding both sides gives: \[ AB - A\lambda - B\lambda + \lambda^2 I = BA - B\lambda - A\lambda + \lambda^2 I \] ### Step 10: Cancel Out Common Terms Cancel \( \lambda^2 I \) and the terms \( -A\lambda \) and \( -B\lambda \) from both sides: \[ AB = BA \] ### Conclusion Thus, we have shown that \( A \) and \( B \) commute if and only if \( A - \lambda I \) and \( B - \lambda I \) commute for every scalar \( \lambda \).

To prove that two square matrices \( A \) and \( B \) of order \( n \) commute if and only if \( A - \lambda I \) and \( B - \lambda I \) commute for every scalar \( \lambda \), we will follow these steps: ### Step 1: Understand the Commutativity Condition We start with the definition of commutativity. Two matrices \( A \) and \( B \) commute if: \[ AB = BA \] ...
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