```python
import pandas as pd
import numpy as np
import altair as alt 
```


```python
import sympy as sp
```


```python
p2 = sp.symbols('p2')
p3 = sp.symbols('p3')
p4 = sp.symbols('p4')

sigma = sp.Matrix([[1,p2,p3,p4],[p2,1,p4,p3],[p3,p4,1,p2],[p4,p3,p2,1]]).T
sigma
```




$\displaystyle \left[\begin{matrix}1 & p_{2} & p_{3} & p_{4}\\p_{2} & 1 & p_{4} & p_{3}\\p_{3} & p_{4} & 1 & p_{2}\\p_{4} & p_{3} & p_{2} & 1\end{matrix}\right]$




```python
sigma.eigenvects()
```




    [(-p2 - p3 + p4 + 1,
      1,
      [Matrix([
       [ 1],
       [-1],
       [-1],
       [ 1]])]),
     (-p2 + p3 - p4 + 1,
      1,
      [Matrix([
       [-1],
       [ 1],
       [-1],
       [ 1]])]),
     (p2 - p3 - p4 + 1,
      1,
      [Matrix([
       [-1],
       [-1],
       [ 1],
       [ 1]])]),
     (p2 + p3 + p4 + 1,
      1,
      [Matrix([
       [1],
       [1],
       [1],
       [1]])])]



d1504666d1be550b6e7404ba4acda13c30008750
ipynb
Jupyter Notebook
Tarea_5/data/Untitled.ipynb
FabianCastellano/Tareas_Multivariada
c653113e734eadf910a8385f992857c098bc0e53
MIT
Tarea_5/data/Untitled.ipynb
FabianCastellano/Tareas_Multivariada
c653113e734eadf910a8385f992857c098bc0e53
MIT
Tarea_5/data/Untitled.ipynb
FabianCastellano/Tareas_Multivariada
c653113e734eadf910a8385f992857c098bc0e53
MIT
Qwen/Qwen-72B
1. YES
2. YES