Difference between revisions of "031 Review Part 3, Problem 2"
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− | | | + | |An eigenvector of a matrix <math style="vertical-align: 0px">A</math> is a nonzero vector <math style="vertical-align: 0px">\vec{x}</math> such that <math style="vertical-align: 0px">A\vec{x}=\lambda\vec{x}</math> for some scalar <math style="vertical-align: 0px">\lambda.</math> |
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+ | |In this case, we say that <math style="vertical-align: 0px">\lambda</math> is an eigenvalue of <math style="vertical-align: 0px">A.</math> | ||
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Revision as of 13:17, 13 October 2017
Find the eigenvalues and eigenvectors of the matrix
Foundations: |
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An eigenvector of a matrix is a nonzero vector such that for some scalar |
In this case, we say that is an eigenvalue of |
Solution:
Step 1: |
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Step 2: |
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Final Answer: |
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