Eigenvalues and eigenvectors
Find eigenvalues and eigenvectors; diagonalise matrices and apply to repeated transformations
What you'll learn
- 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
What does an eigenvector do when you apply a transformation?
- 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
Let's find eigenvalues and eigenvectors of matrix A = [[2, 0], [0, 3]].
- 5
Drag the eigenvector arrow to see how it stretches under this transformation.
- 6
For matrix [[3, 0], [0, 4]], what is one eigenvalue?
- 7
True or false: Every vector is an eigenvector of some transformation.
Practise Eigenvalues and eigenvectors with Whizlo
Free AI-tutored lessons, unlimited practice questions, and progress tracking for ages 16–18. Aligned to the UK National Curriculum.