Matrix
A rectangular arrangement of numbers into rows and columns
Dimensions
The number of rows and columns of the matrix, in that order
Element
Any value entered into a matrix
Augmented matrix
A matrix which represents a system of equations
Scalars
Real numbers (in relation to matrices)
Scalar multiplication
Refers to the product of a real number and a matrix
Additive Commutative Property
For the given two matrices, matrix A and matrix B of the same order, then A + B = B + A
Additive Associative Property
For any three matrices, A , B, C of the same order m x n, we have A + (B + C) = (A + B) + C
Additive Identity
A + 0 = 0 + A = A
Additive Inverse
A + (-A) = (-A) + A = 0
Multiplication Associative Property
For any three matrices A, B, C following the matrix multiplication conditions, we have (AB)C = A(BC).
Multiplication Distributive Property
For any three matrices A, B, C following the matrix multiplication conditions, we have A(B + C) = AB + AC.
Multiplicative Property
For a square matrix A, having the order m × n, and an identity matrix I of the same order we have AI = IA = A.
Dot Product
The result of multiplying the n-tuples of two matrices together.
N-tuple
An ordered set of numbers fund in a matrix. This is typically written with letters with a subscript denoting which row/column it represents.
Determinant (absolute value)
A scalar value that is a certain function of the entires of a square matrix.
Adjacency Matrix
A matrix used to represent graphs which visualize the relationships between multiple values.
Inverse
A reciprocal of a matrix’s values; the reciprocal of the determinant multiplied by its adjoint (swap top left and bottom right, add negative sign to top right and bottom left).
Multiplicative Inverse
A A^-1 = A^-1 A = I
Multiplicative Identity
The product of any n × n matrix and the identity matrix is always equal to the n x n matrix, regardless of the order in which the multiplication was performed. A I = I A = A
Identity Matrix
A matrix of order n x n such that each main diagonal element is equal to 1, and the remaining elements of the matrix are equal to 0.