# Types Of Matrices:-

In previous post I teach that , what is Matrix? In this post I will teach you Types Of Matrices in mathematics.

According to types of elements that are exist in a matrix, different types of matrix is formed.Today I will sure that I fit this concept in your mind.

To completely understand the concept , you have to read contents carefully and watch Video intentionally.

## Real Matrices:-

A Matrix in which all the elements are real is known as Real Matrix .

**Complex Matrices :-**

A Matrix in which at least one element is complex or imaginary is known as complex matrix.

**Row Matrices:-**

A Matrix in which only one row is there ,known as a row Matrix .

**Column Matrices :-**

A Matrix in which only one column is there , known as column Matrix .

**Null/Zero Matrices:-**

A Matrix in which all element are zero is known as Null or zero Matrix .

**Square Matrices:-**

A Matrix in which total number of rows and column are equal ,is known as square Matrix .

**Diagonal Matrices :-**

A Square Matrix in which all non-diagonal elements are zero, is known as Diagonal Matrix .

**Unit Matrices :-**

A Square Matrix in which all diagnal element are 1 is known as Unit/Identify Matrix .

**Lower Triangular Matrices:-**

A square matrix in which all the element, above the diagnal are zero , is known as Lower Triangular Matrix .

**Symmetrix Matrices:-**

A Square Matrix in which a_{ij} = a_{ji};Ɏi,j is known as Symmetrix Matrix .

**Upper Triangular Matrices :-**

A square matrix in which all the elements below diagnal ,are zero ,is known as Upper Triangular Matrix .

**Skew-Symmetric Matrices :-**

A square Matrix in which

a_{ij= }-a_{ji};Ɏi, j , is known Skew-Symmetric Matrix .

**Hermitian Matrices :-**

A square matrix in which a_{ij}= a_{ji};Ɏi,j , is known as Hermitian Matrix .

**Skew-Hermitian Matrices :-**

A square matrix in which a_{ij} = -a_{ji};Ɏi, j is known as Skew-Hermition Matrix .

Watch following Video to understand Remaining types of Matrices in detail and effective manner.

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All types of matrix is very easy

all type of matrix is very easy and nice post

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