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Expert ▦ Linear Algebra Topic 62 of 104

Eigenvalues and Eigenvectors

Vectors only scaled by a transformation.

Key idea

Vectors only scaled by a transformation.

In depth

An eigenvector v of A satisfies Av = λv: the transformation only stretches it by λ. They reveal the axes along which A acts simply and the long-term behaviour of repeated application.

Worked example

A = [2 0; 0 3]: eigenvalues 2, 3 with eigenvectors (1, 0), (0, 1).

Formula

Av = λv

Real-world uses

Common mistake

Counting v = 0 as an eigenvector; it is excluded.

How to learn this

  1. Read the key idea and say it in your own words.
  2. Work through the worked example, then try a similar problem.
  3. Use the interactive lesson’s visual and mini-quiz to check the pattern.

Frequently asked questions

What is Eigenvalues and Eigenvectors?

Vectors only scaled by a transformation. It is a topic at the expert level in Linear Algebra.

What is the formula for Eigenvalues and Eigenvectors?

The key formula is Av = λv.

Where is Eigenvalues and Eigenvectors used in real life?

Real-world examples: Finding natural vibration frequencies of a bridge; Principal directions of stress in materials.

What should I learn before Eigenvalues and Eigenvectors?

Make sure you are comfortable with Orthogonal Matrices, the previous topic in Linear Algebra.

What is a common mistake with Eigenvalues and Eigenvectors?

Counting v = 0 as an eigenvector; it is excluded.

How can I practise Eigenvalues and Eigenvectors?

Open the interactive lesson, play with the visual, then answer the three-question mini-quiz. Getting two right marks the topic complete.

What comes after Eigenvalues and Eigenvectors?

Move on to Characteristic Polynomial next.

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