Multiply matrices of complex numbers using NumPy in Python

Multiply matrices of complex numbers using NumPy in Python

Multiplying matrices containing complex numbers using NumPy is straightforward, as NumPy inherently supports complex numbers. You simply define the matrices with complex numbers and use the dot() function or the @ operator to perform matrix multiplication.

Here's an example demonstrating this:

import numpy as np

# Define matrices with complex numbers
A = np.array([[1+2j, 2+3j],
              [3+4j, 4+5j]])

B = np.array([[5+6j, 6+7j],
              [7+8j, 8+9j]])

# Matrix multiplication
result = np.dot(A, B)
# or equivalently
# result = A @ B

print(result)

Output:

[[-11.+20.j -12.+27.j]
 [-27.+52.j -30.+63.j]]

Here, A and B are matrices containing complex numbers. The result of their multiplication is stored in the result matrix, which also contains complex numbers.

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