Mathematics for ML

Eigenvalue, explained

An eigenvalue is the scaling factor applied to an eigenvector by a linear transformation.
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Part of the Semantic Notion technical glossary.

Short Definition

An eigenvalue is the scaling factor applied to an eigenvector by a linear transformation.

Intuition

Some directions keep pointing the same way after a transformation; the eigenvalue says how much that direction stretches or shrinks.

Technical Definition

For a matrix A and nonzero vector v, lambda is an eigenvalue if Av = lambda v.

Example

PCA uses eigenvalues to measure variance captured by principal directions.

Common Misunderstandings

Eigenvalues only make sense together with a transformation or matrix.
Large eigenvalues are not automatically better; interpretation depends on the problem.

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