### 2.46.3 Eigenvectors : `egv eigenvectors eigenvects
eigVc`

`egv` (or `eigenvectors eigenvects eigVc`) takes as argument a square matrix A of size n.
If A is a diagonalizable matrix, `egv` (or `eigenvectors eigenvects eigVc`) returns a matrix which columns are the eigenvectors of the matrix A. Otherwise, it will fail (see also `jordan` for characteristic vectors).
Input :

`egv([[1,1,3],[1,3,1],[3,1,1]])`

Output :

`[[-1,1,1],[2,1,0],[-1,1,-1]]`

Input :

`egv([[4,1,-2],[1,2,-1],[2,1,0]])`

Output :

`"Not diagonalizable at eigenvalue 2"`

In complex mode, input :

`egv([[2,0,0],[0,2,-1],[2,1,2]])`

Output :

`[0,1,0],[-1,-2,-1],[i,0,-i]]`