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- A square matrix K is skew-symmetric when K^T = -K.\begin{bmatrix} -5 & 6 \\ 6 & 2 \end{bmatrix}\begin{bmatrix} 0 & 4 \\ -4 & 0 \end{bmatrix}\begin{bmatrix} 0 & 0 \\ 0 & 0 \end{bmatrix}\begin{bmatrix} 0 & 2 \\ -2 & 0 \\ 1 & 3 \end{bmatrix}\begin{bmatrix} 1 & 3 \\ -3 & 1 \end{bmatrix}
- Let A = \begin{bmatrix} -2 & -3 & 1 \\ -3 & 4 & 4 \end{bmatrix}, \qquad B = \begin{bmatrix} 1 & 3 \\ 1 & -2 \\ -3 & 1 \end{bmatrix}.
- A 2 × 3 matrix A is not shown.
- The columns a_1, a_2, a_3 of a 4 × 3 matrix A are not shown, but you are told A^T A = \begin{bmatrix} 9 & 0 & -3 \\ 0 & 4 & 2 \\ -3 & 2 & 6…
- Let A = \begin{bmatrix} -2 & 2 \\ -3 & -1 \\ -3 & 1 \end{bmatrix}, \qquad B = \begin{bmatrix} 1 & 1 \\ 3 & 1 \\ -2 & -3 \end{bmatrix}.
- Jasmine, Jin, Carlos and Aisha, players 1 to 4, play games of table tennis against each other at their club, and every game has a winner.
- Let A be an n × n matrix and x a column in R^n.
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The transpose and symmetric matrices: the lesson ›More Chapter 3 worksheets: Matrix algebra and linear transformations
- 3.1Matrix multiplication
- 3.2Linear transformation
- 3.3Finding the matrix of a transformation
- 3.4Composing transformations as a matrix product
- 3.5The transpose and symmetric matrices
- 3.6Finding an inverse by row reducing A next to I
- 3.7Kernel
- 3.8Image
- 3.9Rank and nullity
- 3.10Coordinates in a basis and change of basis