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Eigenvalue method

A vector times an exponential turns a constant-coefficient system into an eigenvector problem; complex pairs then yield real solutions built from sines and cosines.

Notes on Diffy Qs: Differential Equations for Engineers, Eigenvalue method

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4 exercises

Exercise 101

  1. Compute eigenvalues and eigenvectors of A=[103−101202]A= \left[ \begin{smallmatrix} 1 & 0 & 3 \\ -1 & 0 & 1 \\ 2 & 0 & 2 \end{smallmatrix}\right].
  2. Solve the system x⃗ ′=Ax⃗\vec{x}\,' = A \vec{x}.
2.5

Exercise 102

  1. Compute eigenvalues and eigenvectors of A=[11−10]A=\left[ \begin{smallmatrix} 1 & 1 \\ -1 & 0 \end{smallmatrix}\right].
  2. Solve the system x⃗ ′=Ax⃗\vec{x}\,' = A\vec{x}.
2.5

Exercise 103

Solve x1′=x2x_1' = x_2, x2′=x1x_2' = x_1 using the eigenvalue method.

2.5

Exercise 104

Solve x1′=x2x_1' = x_2, x2′=−x1x_2' = -x_1 using the eigenvalue method.

2.5
Linear systems of ODEsTwo-dimensional systems and their vector fields

Adapted from Notes on Diffy Qs © 2008–2026 Jiří Lebl. Licensed under CC BY-SA 4.0. Source: Notes on Diffy Qs: Differential Equations for Engineers. Imported at revision 658bcae.

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