MATH152 April 2022
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[hide]Question B3 (a)
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Let
![{\displaystyle A=\left[{\begin{array}{ccc}0&5&-5\\1&4&1\\0&0&5\end{array}}\right].}](https://wiki.ubc.ca/api/rest_v1/media/math/render/svg/7077999639d40329b2e332310b7227576ae67cf3)
(a) Find the eigenvalues of .
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Make sure you understand the problem fully: What is the question asking you to do? Are there specific conditions or constraints that you should take note of? How will you know if your answer is correct from your work only? Can you rephrase the question in your own words in a way that makes sense to you?
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If you are stuck, check the hint below. Consider it for a while. Does it give you a new idea on how to approach the problem? If so, try it!
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[show]Hint
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Recall the definition: an eigenvalue of is a number such that the (vector) equation

has a solution. Can you rewrite the above equation so that the vector is in the null-space of a matrix?
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Checking a solution serves two purposes: helping you if, after having used the hint, you still are stuck on the problem; or if you have solved the problem and would like to check your work.
- If you are stuck on a problem: Read the solution slowly and as soon as you feel you could finish the problem on your own, hide it and work on the problem. Come back later to the solution if you are stuck or if you want to check your work.
- If you want to check your work: Don't only focus on the answer, problems are mostly marked for the work you do, make sure you understand all the steps that were required to complete the problem and see if you made mistakes or forgot some aspects. Your goal is to check that your mental process was correct, not only the result.
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[show]Solution
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Here is the argument for the standard procedure that computes the eigenvalues of a matrix. The equation

is equivalent to

This latter equation has a non-zero solution if and only if the matrix is not invertible, which is equivalent to . Therefore, we solve this last equation, since it is an equation of numbers (as opposed to an equation of vectors). We find the determinant to be
![{\displaystyle {\begin{aligned}\det(A-\lambda \mathrm {Id} )&=\det \left[{\begin{array}{ccc}-\lambda &5&-5\\1&4-\lambda &1\\0&0&5-\lambda \end{array}}\right]\\&=(5-\lambda )\det \left[{\begin{array}{cc}-\lambda &5\\1&4-\lambda \end{array}}\right]\\&=(5-\lambda )(-\lambda (4-\lambda )-5)=(5-\lambda )(\lambda ^{2}-4\lambda -5)=(5-\lambda )(\lambda -5)(\lambda +1).\end{aligned}}}](https://wiki.ubc.ca/api/rest_v1/media/math/render/svg/9fd713d9054ad3121825e4e353159d64d6966642)
From the factorization above, we see that there are two eigenvalues of : -1 and 5, and 5 is called a repeated eigenvalue, since it shows up more than once in the factorization of .
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