```python
import math
import numpy as np
from sympy import Matrix
```


```python
a = np.array([[1,-7],[-2,-3]])
mtx = Matrix(a)
```


```python
mtx
```




$\displaystyle \left[\begin{matrix}1 & -7\\-2 & -3\end{matrix}\right]$



L1 norm 


```python
mtx.norm(ord=1)
```




$\displaystyle 10$




```python
np.linalg.norm(a, ord=1)
```




    10.0



Infinite norm


```python
np.linalg.norm(a,ord=math.inf)
```




    8.0



Froibinous norm or Eucledian norm


```python
mtx.norm(ord='fro')
```




$\displaystyle 3 \sqrt{7}$




```python

```

41a6721939cab280f5816fa463cbd442a591d8a5
ipynb
Jupyter Notebook
matrix_norms.ipynb
lgtejas/mfds
dc9569a970f963d298dbe56db58b090684558d7b
MIT
matrix_norms.ipynb
lgtejas/mfds
dc9569a970f963d298dbe56db58b090684558d7b
MIT
matrix_norms.ipynb
lgtejas/mfds
dc9569a970f963d298dbe56db58b090684558d7b
MIT
Qwen/Qwen-72B
1. YES
2. YES