# 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.

## Further information

• Default value: false
• Function: eigenvectors -- find eigenvectors of a matrix over RR or CC
• Option key: Hermitian -- an optional argument

## 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.