Identity Matrix

An identity matrix, denoted as In, is a square matrix in which all the diagonal elements are 1s, and all the other elements are 0s. It serves as the multiplicative identity in matrix algebra, meaning that multiplying any matrix by the identity matrix results in the original matrix.

Mathematically, an identity matrix of order n×n is represented as:

In=[1000010000100001]

Examples of Identity Matrices

  • The 2×2 identity matrix is: I2=[1001]
  • The 3×3 identity matrix is: I3=[100010001]
  • The 4×4 identity matrix is: I4=[1000010000100001]

Properties of Identity Matrix

1 Multiplicative Identity Property

Multiplying any matrix A by the identity matrix I results in the original matrix:

A×I=I×A=A

Example: Consider the matrix:

A=[2345]

Multiplying A by the identity matrix I2:

I2×A=[1001]×[2345]=[2345]

The result is the original matrix A.

2 Identity Matrix is Its Own Inverse

The inverse of the identity matrix is the identity matrix itself:

I1=I

Example: The inverse of I3 is:

I31=I3=[100010001]

3 Identity Matrix in Matrix Multiplication

The identity matrix behaves like 1 in scalar multiplication:

In×A=A×In=A

Example: If:

B=[7256]

Then:

I2×B=B×I2=B

4 Identity Matrix and Determinant

The determinant of an identity matrix is always 1:

det(In)=1

Example: For I3:

det[100010001]=1

5 Identity Matrix in Linear Transformations

The identity matrix represents the transformation that leaves vectors unchanged:

In×v=v

Example: If:

v=[32]

Then:

I2×v=[1001]×[32]=[32]