Finding eigenvalues of a matrix with unknown variables using numpy.linalg.eig-CodePudding

As an example, I have the following matrix:

$$\begin{bmatrix}a 1&1\1&1\end{bmatrix}$$

I would like to find the eigenvalue of the matrix with python. This is my attempt:

arr = np.array( [[ a 1, 1],
             [ 1, 1]] )
print(np.linalg.eig(arr))

Obviously, python tells me that a is not defined. But I dont want to define a. a should just be a variable, and I want the eigenvalues to be expressed by a.

Any ideas?

Kind regards,

Zebraboard

CodePudding user response：

ddejohn is right. What you want is a symbolic operation so use sympy:

from sympy import var, Matrix

var('a')
arr = Matrix( [[ a 1, 1],
             [ 1, 1]] )

arr.eigenvals()

gives

{a/2 - sqrt(a**2   4)/2   1: 1, a/2   sqrt(a**2   4)/2   1: 1}