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Appendix G Video examples and figures

0.5 Proof techniques

Figure 0.5.9 Mathematical induction as ladder of propositions

1.1 Systems of linear equations

Figure 1.1.8 Using Sage to visualize \(\mathcal{P}\colon ax+by+cz=d\) via normal vector \(\boldn=(a,b,c)\)

1.3 Solving linear systems

Figure 1.3.6 Video: solving linear systems
Figure 1.3.7 Video: solving linear systems 2
Figure 1.3.9 Decision tree for number of solutions to a system

2.1 Matrix arithmetic

Figure 2.1.18 Visualizing matrix multiplication
Figure 2.1.28 Video: three methods of matrix multiplication

2.2 Matrix algebra

Figure 2.2.12 Video: matrix multiplication is associative
Figure 2.2.13 Video: transpose property

2.4 The invertibility theorem

Figure 2.4.12 Video: inverse algorithm

2.5 The determinant

Figure 2.5.13 Video: determinant

3.2 Linear transformations

Figure 3.2.19 Eigenspaces of a symmetric matrix are orthogonal
Figure 3.2.22 Video: deciding if \(T\) is linear
Figure 3.2.23 Video: deciding if \(T\) is linear

3.3 Subspaces

Figure 3.3.5 Video: deciding if \(W\subseteq V\) is a subspace
Figure 3.3.6 Video: deciding if \(W\subseteq V\) is a subspace

3.4 Null space and image

Figure 3.4.3 Null space and image
Figure 3.4.(a)
Figure 3.4.(b)
Figure 3.4.(c)

3.5 Span and linear independence

Figure 3.5.4 Video: computing span
Figure 3.5.20 Video: linear independence of functions

3.6 Bases

Figure 3.6.11 Video: deciding if a basis of \(\R^n\)
Figure 3.6.12 Video: deciding if a basis of \(V\)

3.7 Dimension

Figure 3.7.7 Video: computing dimension

3.8 Rank-nullity theorem and fundamental spaces

Figure 3.8.11 Video: computing fundamental spaces
Figure 3.8.14 Video: contracting to a basis

4.3 Orthogonal projection

Figure 4.3.12 Video: orthogonal projection in function space
Figure 4.3.21 Least-squares visualization

5.1 Coordinate vectors

Figure 5.1.8 Video: coordinate vectors

5.2 Matrix representations of linear transformations

Figure 5.2.8 Commutative diagram for \([T]_B^{B'}\)
Figure 5.2.11 Video: matrix representations

5.3 Change of basis

Figure 5.3.11 Video: change of basis matrix
Figure 5.3.25 Video: change of basis for transformations
Figure 5.3.26 Video: computing reflection via change of basis
Figure 5.3.29 The holy commutative tent of linear algebra

5.4 Eigenvectors and eigenvalues

Figure 5.4.2 Reflection through \(\ell=\Span\{(1,2)\}\)
Figure 5.4.7 Visualizing eigenvectors

5.5 Diagonalization

Figure 5.5.17 Video: deciding if diagonalizable

5.6 The spectral theorem

Figure 5.6.14 Eigenspaces of a symmetric matrix are orthogonal