Further MathsYears 12–13Matrices

Eigenvalues and eigenvectors

Find eigenvalues and eigenvectors; diagonalise matrices and apply to repeated transformations

What you'll learn

  1. 1

    Imagine a rubber sheet stretched in a frame. If you push on it in a certain direction, some points only stretch along that line — they don't twist sideways.

  2. 2

    What does an eigenvector do when you apply a transformation?

  3. 3

    Here's a 2D grid. The red arrow is an eigenvector — after the transformation (shown in blue), it still points the same direction, just longer.

  4. 4

    Let's find eigenvalues and eigenvectors of matrix A = [[2, 0], [0, 3]].

  5. 5

    Drag the eigenvector arrow to see how it stretches under this transformation.

  6. 6

    For matrix [[3, 0], [0, 4]], what is one eigenvalue?

  7. 7

    True or false: Every vector is an eigenvector of some transformation.

Practise Eigenvalues and eigenvectors with Whizlo

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