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4)
Square symmetric matrix: A square matrix of dimension m
m is said to be symmetric if and only if a ij = a ji for all i = 1,2,..,m;
j = 1,2,...,m.
For example,
is a 3 x 3 square, symmetric matrix.
5)
Definition of a vector: A matrix that has only one column and
has dimension m
1 , is called a vector. Sometimes this is also
called a column vector. We denote a vector V of length m by
V= [v i ] i=1,2,…m .
For example,
is a vector of length 3. Also notice that, in this
example, v 1 = 1,v 2 = 2 and v 3 = 3 .
6)
Transpose of a matrix: The transpose of a matrix is a matrix
obtained by turning columns of the original matrix into rows
while keeping their original order. The transpose of a matrix
A is denoted by A T .
For example, if then
The transpose of a column vector is called a row vector.
7)
Equality of two matrices: Two matrices A and B are said to be
equal to each other if, and only if, they have the same dimen-
sion and a ij = b ij for every i and j . That is, if and only if all of
the corresponding elements are identical.
2.6.1 Addition and multiplication of matrices
Matrices do not behave like ordinary numbers. Addition and multipli-
cation of matrices are allowed only if the matrices conform to certain
dimensional restrictions.
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