Matrix operations are fundamental mathematical procedures performed on matrices. They include addition, subtraction, multiplication, and more complex operations like finding inverses or determinants. These operations are crucial in various fields, including physics, computer graphics, and data analysis.
For matrices A and B of the same size:
\((A \pm B)_{ij} = A_{ij} \pm B_{ij}\)
Each element in the resulting matrix is the sum or difference of the corresponding elements in A and B.
For matrices A (m×n) and B (n×p):
\((AB)_{ij} = \sum_{k=1}^n A_{ik}B_{kj}\)
Each element in the resulting matrix is the dot product of a row from A and a column from B.
Let's multiply two 2×2 matrices:
A = \begin{bmatrix} 1 & 2 \\ 3 & 4 \end{bmatrix}, B = \begin{bmatrix} 5 & 6 \\ 7 & 8 \end{bmatrix}
AB = \begin{bmatrix} (1×5 + 2×7) & (1×6 + 2×8) \\ (3×5 + 4×7) & (3×6 + 4×8) \end{bmatrix}
AB = \begin{bmatrix} 19 & 22 \\ 43 & 50 \end{bmatrix}
This diagram represents the multiplication of two matrices A and B.
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