Types of Matrix:

**Row Matrix**: A matrix is said to be a row matrix if it has only one row.

**Column Matrix**: A matrix is said to be a column matrix if it has only one column.

**Rectangular Matrix**: A matrix is said to be rectangular if the number of rows is not equal to the number of columns

**Square Matrix**: A matrix is said to be rectangular if the number of rows is equal to the number of columns.

**Diagonal Matrix: **A square matrix is said to be diagonal if at least one element of principal diagonal is non-zero and all the other elements are zero.

**Scalar Matrix****: **A diagonal matrix is said to be scalar if all of its diagonal elements are the same

**Identity or Unit Matrix**: A diagonal matrix is said to be identity if all of its diagonal elements are equal to one.

**Triangular Matrix: **A square matrix is said to be triangular if all of its elements above the principal diagonal are zero

**(lower triangular matrix)** or all of its elements below the principal diagonal are zero **(upper triangular matrix)**.

**Upper Triangular Matrix**

**Lower Triangular Matrix**

**Null or Zero Matrix: **A matrix is said to be a null or zero matrix if all of its elements are equal to zero.

**Transpose of a Matrix: **Suppose *A* is a given matrix, and then the matrix obtained by interchanging its rows into columns is called the transpose of matrix *A*.

**Then Transpose of thematrix is:**