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Appendix C Solutions to Selected Exercises

1 Vector spaces
1.2 Properties

1.6 Linear Independence

1.7 Basis and dimension

1.8 New subspaces from old

2 Linear Transformations
2.1 Definition and examples

2.2 Kernel and Image

2.3 Isomorphisms, composition, and inverses
2.3.2 Composition and inverses

3 Orthogonality and Applications
3.1 Orthogonal sets of vectors
3.1.1 Basic definitions and properties

3.1.2 Orthogonal sets of vectors

4 Diagonalization
4.2 Diagonalization of symmetric matrices

4.4 Diagonalization of complex matrices
4.4.2 Complex matrices

5 Change of Basis
5.1 The matrix of a linear transformation

5.2 The matrix of a linear operator

5.6 Jordan Canonical Form