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**Row Matrix:**

A matrix having a single row is called a row matrix. e. g. [1 3 5 7]

**Square Matrix:**

An m x n matrix A is said to be a square matrix if m = n i.e. number of rows = number of columns.

**Note:**

- The diagonal from left hand side upper corner to right hand side lower side lower corner is known as leading diagonal or principal diagonal. In the above example square matrix containing the elements 1, 3, 5 is called the leading or principal diagonal.

**Diagonal Matrix:**

A square matrix all of whose elements except those in the leading diagonal, are zero is called a diagonal matrix. For a square matrix A = [a_{ij}]_{n}_{xn} to be a diagonal matrix, a_{ij} = 0, whenever i not equal to j.

**Scalar Matrix: **

A diagonal matrix whose all the leading diagonal elements are equal is called a scalar matrix.

**Triangular Matrix: **

A square matrix in which all the elements below the diagonal elements are zero is called Upper Triangular matrix and a square matrix in which all the elements above diagonal elements are zero is called Lower Triangular matrix.

Given a square matrix A = [a_{ij}]_{n}_{´}_{n},

For upper triangular matrix, a_{ij} = 0, i > j

and for lower triangular matrix, a_{ij} = 0, i < j

**Notes: **

- Diagonal matrix is both upper and lower triangular
- A triangular matrix A = [a
_{ij}]_{n}_{´}_{n}is called strictly triangular if a_{ii}= 0 for 1 ≤ i ≤ n.

**Null Matrix: **

If all the elements of a matrix (square or rectangular) are zero, it is called a null or zero matrix.

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