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- Let A = \begin{bmatrix} -3 & 5 & -4 & -1 \\ -4 & 3 & 3 & 3 \\ 2 & -2 & -4 & 3 \end{bmatrix}, \qquad \mathbf{x} = \begin{bmatrix} -3 \\ 3 \\ 3 \\ -3…
- A matrix A has A\mathbf{e}_1 = \begin{bmatrix} 1 \\ 0 \\ 2 \\ -1 \end{bmatrix}, \qquad A\mathbf{e}_2 = \begin{bmatrix} 3 \\ 1 \\ 0 \\ 2…
- A 2 × 3 matrix A satisfies Au = (-2, 5) and Av = (-4, 1), where u = (2, 1, -3) and v = (1, 2, 2).
- Naomi's gift-basket shop sells three basket styles.
- Let A = \begin{bmatrix} 1 & 2 & -1 & 3 \\ 2 & 5 & 0 & 4 \\ -1 & -1 & 3 & -5 \end{bmatrix}.
- Let A and B be m × n matrices.
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Multiplying a matrix by a vector: the lesson ›More Chapter 2 worksheets: Linear systems and row reduction
- 2.1Writing a system as a matrix equation
- 2.2Augmented matrices and row operations
- 2.3Echelon forms and Gaussian elimination
- 2.4Solving a system by row reduction: one, none or infinitely many solutions
- 2.5Reduced row echelon form
- 2.6Rank
- 2.7Multiplying a matrix by a vector
- 2.8Homogeneous systems and solutions in parametric vector form
- 2.9Linear systems in use: networks, chemical equations, fitting curves