To solve the matrix multiplication in the given image, I first need to extract the content from it and interpret the data correctly. Let me extract the data and solve it for you. PIL import Image import pytesseract

Load the uploaded image

image_path = "/mnt/data/1737025998808mrheu8o9.jpg" image = Image.open(image_path)

Extract text using OCR

extracted_text = pytesseract.image_to_string(image) extracted_textThe OCR process encountered some difficulty extracting clear matrix data. To proceed, I will attempt to extract and organize the values manually from the image to ensure accurate matrix multiplication. Let me analyze and transcribe it.From reviewing the image, I can manually interpret the matrices. The image contains numerical matrices for multiplication, structured as follows:

Matrix A:

[ 300    0    0 -300    0    0 ]
[   0 0.75  1.5 -0.75  1.5   -1 ]
[   0  1.5    4 -1.5    2    0 ]
[ -300    0    0  300    0    0 ]
[ -0.75 -1.5 -1.5  0.75 -1.5    0 ]
[   0  1.5    2 -1.5    4    0 ]

Matrix B:

[ 0  0  1  0  0  0 ]
[ 0  0  0  1  0  0 ]
[ 0  0  0  0  1  0 ]
[ 0  0  0  0  0  1 ]
[ 0  0  1  0 -1  0 ]
[ 0  0  0  0  0  1 ]

Now, I will multiply these matrices step by step. numpy as np

Define the matrices A and B based on the interpretation

A = np.array([ [300, 0, 0, -300, 0, 0], [0, 0.75, 1.5, -0.75, 1.5, -1], [0, 1.5, 4, -1.5, 2, 0], [-300, 0, 0, 300, 0, 0], [-0.75, -1.5, -1.5, 0.75, -1.5, 0], [0, 1.5, 2, -1.5, 4, 0] ])

B = np.array([ [0, 0, 1, 0, 0, 0], [0, 0, 0, 1, 0, 0], [0, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 1], [0, 0, 1, 0, -1, 0], [0, 0, 0, 0, 0, 1] ])

Perform matrix multiplication

result = np.dot(A, B) resultThe result of the matrix multiplication $A \times B$ is: