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eigenvectors(..., Hermitian => ...) -- Hermitian=>true means assume the matrix is symmetric or Hermitian

Synopsis

Usage:
eigenvectors(M, Hermitian=>true)
Consequences:
- The resulting matrix of eigenvalues is defined over RR, not CC, and, if the original matrix is defined over RR, the matrix of eigenvalues is too.

Description

Further information

Default value: false
Function: eigenvectors -- find eigenvectors of a matrix over RR or CC
Option name: Hermitian

Caveat

The internal routine uses a different algorithm, only considering the upper triangular elements. So if the matrix is not symmetric or Hermitian, the routine will give incorrect results.

See also

eigenvectors -- find eigenvectors of a matrix over RR or CC