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5 cards from this section. Quick, good the night before a test.
Define eigenvalue.
Think about the equation involving a matrix and a vector.
What is an eigenvector?
Focus on the relationship between the vector and the matrix.
What is the eigenvalue of a matrix?
Focus on the transformation equation.
True or False: An eigenvector can be the zero vector.
Think about the definition of eigenvectors.
Given matrix A = [[4, 2], [1, 3]], compute the eigenvalues and eigenvectors.
Don't forget to substitute each λ back to find eigenvectors.
Discuss the implications of geometric multiplicity in real-world structures.
Link it to how stresses distribute in materials.
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