Adding numpy arrays of different dimensions, or adding tensors?

import numpy as np

a=np.array([[1,2],[3,4]])
b=np.array([[[7,8],[9,10]],
           [[5,6],[7,8]]])
c=b-a
print(c)
print(b.shape)
print(c.shape)
d=b+a
print(d)
print(d.shape)

The result of running is:

[[[6 6]
  [6 6]]

 [[4 4]
  [4 4]]]
(2, 2, 2)
(2, 2, 2)
[[[ 8 10]
  [12 14]]

 [[ 6  8]
  [10 12]]]
(2, 2, 2)

It can be seen that adding tensors is similar to expanding low-dimensional tensors into high-dimensional tensors, adding and subtracting. Multiplication and division estimates are similar. thank you all