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3 cards from this section. Quick, good the night before a test.
What are eigenvalues?
Recall the definition based on the transformation of vectors.
Can complex eigenvalues exist in real matrices?
Think about matrices with specific structures, like rotations.
What can the eigenvalues of a matrix be?
Remember the definitions and properties of eigenvalues.
Complex eigenvectors can form a basis over which space?
Think about the types of values in eigenvectors.
Given a rotation matrix: R = [[cos(θ), -sin(θ)], [sin(θ), cos(θ)]], find the eigenvalues and explain their geometric significance.
Use the characteristic polynomial and consider the geometric interpretation of eigenvalues.
Consider the matrix B = [[0, -1], [1, 0]]. Discuss the implications of its complex eigenvalues in a physical system.
Relate the oscillatory solutions back to structural responses and stability analysis.
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