How can I use SciPy to compute eigenvalues?

How can I use SciPy to compute eigenvalues?

You can use the scipy.linalg.eig function to compute eigenvalues of a square matrix. 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, eigenvectors = eig(A)
print('Eigenvalues:', eigenvalues)

This will give you the eigenvalues of the matrix.

What do the eigenvalues represent in this context?

Eigenvalues can indicate the scaling factor of the eigenvectors in the transformation represented by the matrix. They provide insights into the properties of the matrix.