How can I compute eigenvalues using SciPy?

How can I compute eigenvalues using SciPy?

You can compute eigenvalues in SciPy using the scipy.linalg.eig function. Do you have a specific matrix in mind?

Yes, I have a 2x2 matrix: [[1, 2], [3, 4]]. Can you show me how to do it?

Sure! You can use the following code:

import numpy as np
from scipy.linalg import eig

A = np.array([[1, 2], [3, 4]])
eigenvalues, _ = eig(A)
print(eigenvalues)

This will give you the eigenvalues of the matrix.

What do the eigenvalues represent in this case?

The eigenvalues represent the factors by which the eigenvectors are scaled during the transformation defined by the matrix. They can indicate stability and other properties of the system.