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- For each matrix A, find the eigenvalues and describe the origin for x_k+1 = Ax_k:\begin{bmatrix} 0.4 & 0.3 \\ 0.1 & 0.6 \end{bmatrix}\begin{bmatrix} 0.1 & 0.7 \\ 1 & 1 \end{bmatrix}\begin{bmatrix} 1 & 2 \\ 3 & 0 \end{bmatrix}\begin{bmatrix} 1 & -1 \\ 1 & 0.5 \end{bmatrix}
- Consider the system x_k+1 = Ax_k with A = \begin{bmatrix} -7 & 2 \\ -10 & 2 \end{bmatrix}, \qquad \mathbf{v}_1 = \begin{bmatrix} 1 \\ 2…
- x y \lambda = \tfrac{3}{2} \lambda = \tfrac{1}{2} P Q R S A 2 × 2 matrix A has eigenvector v_1 = (2, 1) for _1 = 32 and eigenvector v_2 = (1, -1)…
- A hospital keeps 600 wheelchairs for visitors at its two entrances, the North entrance and the South entrance.
- A creamery sells milk in 950 returnable glass bottles through three shops:
- A marine reserve models a made-up seahorse population in two stages, juveniles j_k and adults a_k in year k.
- Let A be an n × n column-stochastic matrix.
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Matrix powers, dynamical systems and steady states: the lesson ›More Chapter 5 worksheets: Eigenvalues and eigenvectors
- 5.1The characteristic equation and finding eigenvalues
- 5.2Finding an eigenvector
- 5.3Diagonalization
- 5.4Complex eigenvalues and rotation-scaling matrices
- 5.5Matrix powers, dynamical systems and steady states