TOPICS
Search

Eigenbasis


An eigenbasis for a linear transformation T:V->V is a basis of V consisting entirely of eigenvectors of T. Equivalently, a square matrix has an eigenbasis iff it is diagonalizable. If the columns of a matrix P are the vectors in an eigenbasis and the corresponding eigenvalues form the diagonal matrix D, then

 A=PDP^(-1).

A real symmetric matrix has an orthonormal eigenbasis, and a complex normal matrix also has an orthonormal eigenbasis.


See also

Diagonalizable Matrix, Eigenvector, Orthogonal Diagonalization, Spectral Theorem

Explore with Wolfram|Alpha

References

Horn, R. A. and Johnson, C. R. Matrix Analysis, repr. with corr. Cambridge, England: Cambridge University Press, 1987.

Cite this as:

Weisstein, Eric W. "Eigenbasis." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/Eigenbasis.html

Subject classifications