05/09/2026
Matrices become powerful through the operations performed on them:
🔹 Addition combines corresponding entries.
🔹 Scalar multiplication scales every entry.
🔹 Matrix multiplication composes transformations and connects compatible dimensions.
🔹 Hadamard multiplication multiplies entries element by element.
🔹 Transpose exchanges rows and columns.
🔹 Determinant describes signed area or volume scaling.
🔹 Inverse reverses a nonsingular transformation.
🔹 Trace sums the main-diagonal entries.
Unlike ordinary numbers, matrix multiplication is generally not commutative:
AB\neq BA
These operations form the computational foundation of linear systems, transformations, control theory, graphics, data science, and machine learning.