| Fundamentals of Statistics contains material of various lectures and courses of H. Lohninger on statistics, data analysis and chemometrics......click here for more. |

Table of Contents Math Background Matrices Fundamentals |
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| See also: data matrix, matrix algebra, Generalized Mean | ||
Matrix Algebra
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The following are a few basic definitions concerning matrices.
Definition.
A matrix is a rectangularly
shaped array with m rows and n columns of m
n
mathematical objects of a given basic set. The order of a matrix
is m
n
("m by n"). Each column and each row of a matrix defines a vector. A column
vector is nothing other than an m
1
matrix, and a row vector is a 1
n
matrix.

Matrices are denoted by bold uppercase letters, e.g. A. Matrix elements are denoted by lowercase letters subscripted by two indices, i.e. am,n. Sometimes the comma between the indices is omitted. The sequence of the indices is not arbitrary; the first index always denotes the row, the second index the column. If m=n, the matrix is called a square matrix of order n. If a matrix is square, the diagonal containing elements of equal indices (a11, a22, ..., ann) is called the principal diagonal of this matrix. The trace of a matrix is the sum of all elements of the principal diagonal.