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3 cards from this section. Quick, good the night before a test.
Define geometric multiplicity.
Think about the vectors corresponding to that eigenvalue.
What is algebraic multiplicity?
Look at the characteristic polynomial.
What defines geometric multiplicity?
Think about independent vectors corresponding to eigenvalues.
True or False: The geometric multiplicity of an eigenvalue is always greater than its algebraic multiplicity.
Check the definitions of both multiplicities.
A 3x3 matrix has an eigenvalue λ = 4 that appears twice in its characteristic polynomial. Determine the possible geometric multiplicities and discuss von implications on diagonalization.
Think about the definitions of multiplicities in regards to independence.
Consider the matrix A = [[1, 1], [0, 1]]. Calculate the eigenvalues, their multiplicities and determine if A is diagonalizable.
Calculate the characteristic polynomial and confirm the case.
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