Linear Algebra · Advanced · 9 min

The directions that stay

Most vectors turn under a matrix. Eigenvectors stay on their own line, possibly reversing or collapsing to zero.

WHAT HAPPENS IF…Try a 90° rotation. Can a nonzero real vector stay on its line?
Interactive exploration
Preparing your experiment…

Connect the picture to the ideaAv=λv,v≠0A\mathbf v=\lambda\mathbf v,\qquad\mathbf v\ne\mathbf0

Real eigenvalues solve λ² − tr(A)λ + det(A) = 0. A negative discriminant means no real eigenvectors. A repeated eigenvalue has one eigenline unless A is a scalar multiple of the identity, when every nonzero vector is an eigenvector.

A detail that matters

A zero eigenvalue is allowed, but the zero vector itself is never an eigenvector.

Keep the connection going

One idea leads to another.

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