👉 Matrix math is a fundamental branch of linear algebra that deals with matrices, which are rectangular arrays of numbers, symbols, or expressions arranged in rows and columns. It provides a powerful framework for representing and solving systems of linear equations, performing transformations in geometry, and manipulating data in various fields like computer graphics, machine learning, and engineering. Key operations include matrix addition, scalar multiplication, matrix multiplication (which is not commutative), finding the inverse of a matrix, and calculating determinants to assess properties like matrix invertibility and singularity. These operations form the basis for more complex concepts such as eigenvalues, eigenvectors, and singular value decomposition, which are crucial in advanced applications.
