Write a program to compute the eigenvalues and right eigenvectors Hint: Use linalg.eig function Sample data:[[1,2].[2,3]] Sample output: Eigen values of the given square array: [-0.23606798 4.23606798 Right eigenvectors of the given square array: [1-0.85065081-0.52573111] [0.52573111-0.85065081]]
时间: 2023-11-18 10:04:47 浏览: 33
Sure, I can help you with that! Here's the Python code to compute the eigenvalues and right eigenvectors of a square array using the NumPy library:
```python
import numpy as np
# Sample data
A = np.array([[1, 2], [2, 3]])
# Compute eigenvalues and eigenvectors
eigenvalues, eigenvectors = np.linalg.eig(A)
# Print the results
print("Eigenvalues of the given square array:", eigenvalues)
print("Right eigenvectors of the given square array:", eigenvectors)
```
When you run this code with the sample data, you should get the following output:
```
Eigenvalues of the given square array: [-0.23606798 4.23606798]
Right eigenvectors of the given square array: [[-0.85065081 -0.52573111]
[ 0.52573111 -0.85065081]]
```
I hope this helps! Let me know if you have any more questions.