Neocortex 🧠

Search

Search IconIcon to open search

Eigenvectors

Last updated Mar 20, 2022 Edit Source

Eigenvectors are Vectors which remain in the same span when a linear transformation $A$ is applied to them. However, they can be scaled up or down. An eigenvector is represented algebraically as:

$$ Ax = \lambda I x $$

where $I$ is the identity matrix. This can also be rewritten as:

$$ (A - \lambda I)x = 0 $$

This linear system can have $1$ or $\infty$ solutions, since the $0$ vector is always a solution to the system(because of the 0 property of linear transformations).

The $\lambda$ here is called the eigenvalue of the eigenvector $x$.


Interactive Graph