A matrix is a rectangular array of numbers, symbols, or expressions arranged in rows and columns.

Square Matrix: A matrix with the same number of rows and columns (e.g., 3x3).
Row Matrix: A matrix with only one row (e.g., 1x3).
Column Matrix: A matrix with only one column (e.g., 3x1).
Diagonal Matrix: A square matrix where all off-diagonal elements are zero.
Identity Matrix: A diagonal matrix where all diagonal elements are 1.
Zero Matrix: A matrix where all elements are zero.
Symmetric Matrix: A square matrix that is equal to its transpose.

Addition: Adding two matrices of the same dimensions by adding their corresponding elements.

Subtraction: Subtracting corresponding elements of two matrices of the same dimensions.
Scalar Multiplication: Multiplying each element of a matrix by a scalar.

Matrix Multiplication: The product of two matrices is defined if the number of columns in the first matrix equals the number of rows in the second matrix.

Transpose: Flipping a matrix over its diagonal, switching the row and column indices.

Determinant: A scalar value that is a function of the entries of a square matrix, providing important properties about the matrix. For a 2x2 matrix:

Solving Systems of Linear Equations: Using methods such as Gaussian elimination or matrix inversion.
Transformations in Graphics: Representing and manipulating points in space.
Physics and Engineering: Describing physical systems and their properties.
Computer Science: Algorithms, data structures, and network theory.

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