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8.1 Eigenvalues, eigenvectors, and eigenspaces
Define eigenvalues through the equation Av=λv, then recast the same idea as a null-space and determinant question so the structure becomes computable.
Course contents
MATH1030: Linear algebra I
Linear algebra notes.
3.13.1 Matrix multiplication and identity matrices3.23.2 Transpose and special matrices3.33.3 Row-operation matrices3.13.1 Matrix addition, subtraction, and scalar multiplication3.23.2 Matrix multiplication and linear systems3.33.3 Transposes, symmetric matrices, and skew-symmetric matrices3.43.4 Special matrices3.53.5 Block matrices
6.16.1 Vector spacesMember6.26.2 SubspacesMember6.36.3 Linear combinations and spanMember6.46.4 Linear dependence and independenceMember6.56.5 Basis and dimensionMember6.66.6 Column space, row space, and rankMember6.76.7 Matrix subspaces, basis, and dimensionMember6.86.8 Basis extension and change of basisMember
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