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4 cards from this section. Quick, good the night before a test.
What is an eigenvector?
Think about scaling and direction.
What does orthogonal mean regarding vectors?
Consider the dot product result.
What does the orthogonality of eigenvectors guarantee in the context of a symmetric matrix?
Think about the geometric interpretation of orthogonality.
True or False: All eigenvalues have orthogonal eigenvectors.
Consider the conditions under which the property holds.
Given a symmetric matrix A, find its eigenvalues and eigenvectors. Verify if they are orthogonal.
Utilize matrix operations and evaluate the results.
Discuss how non-orthogonality of eigenvectors could affect a structural dynamic analysis and provide an example.
Reflect on structural health and analyze specific cases.
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