Prove That Identity Matrix Is The Only Idempotent N × N N\times N N × N Matrix That Is Invertible.

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Introduction

In linear algebra, a matrix that is idempotent is a square matrix that, when multiplied by itself, gives itself as the result. In other words, a matrix AA is idempotent if A2=AA^2 = A. However, not all idempotent matrices are invertible. In this article, we will prove that the identity matrix is the only idempotent n×nn\times n matrix that is invertible.

Definition of Idempotent Matrix

An idempotent matrix is a square matrix AA that satisfies the condition A2=AA^2 = A. This means that when we multiply the matrix AA by itself, the result is the same matrix AA.

Definition of Invertible Matrix

An invertible matrix is a square matrix AA that has an inverse, denoted by A1A^{-1}. This means that there exists a matrix BB such that AB=BA=IAB = BA = I, where II is the identity matrix.

Proof that Identity Matrix is the Only Idempotent n×nn\times n Matrix that is Invertible

Let AA be an idempotent n×nn\times n matrix that is invertible. We want to prove that AA is the identity matrix II.

Since AA is idempotent, we have A2=AA^2 = A. Multiplying both sides of this equation by A1A^{-1}, we get:

A1A2=A1AA^{-1}A^2 = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

(A1A)A=A1A(A^{-1}A)A = A^{-1}A

Since A1A=IA^{-1}A = I, we have:

IA=IIA = I

Multiplying both sides of this equation by A1A^{-1}, we get:

A1IA=A1IA^{-1}IA = A^{-1}I

Using the associative property of matrix multiplication, we can rewrite this equation as:

(A1I)A=A1I(A^{-1}I)A = A^{-1}I

Since A1I=A1A^{-1}I = A^{-1}, we have:

A1A=A1A^{-1}A = A^{-1}

Multiplying both sides of this equation by AA, we get:

(A1A)A=A1A(A^{-1}A)A = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA=A1AA^{-1}AA = A^{-1}A

Since A1AA=A1A^{-1}AA = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation by AA, we get:

(A1A)A=A1A(A^{-1}A)A = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA=A1AA^{-1}AA = A^{-1}A

Since A1AA=A1A^{-1}AA = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation by A1A^{-1}, we get:

(A1A)A1=A1A(A^{-1}A)A^{-1} = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA1=A1AA^{-1}AA^{-1} = A^{-1}A

Since A1AA1=A1A^{-1}AA^{-1} = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation by AA, we get:

(A1A)A=A1A(A^{-1}A)A = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA=A1AA^{-1}AA = A^{-1}A

Since A1AA=A1A^{-1}AA = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation by A1A^{-1}, we get:

(A1A)A1=A1A(A^{-1}A)A^{-1} = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA1=A1AA^{-1}AA^{-1} = A^{-1}A

Since A1AA1=A1A^{-1}AA^{-1} = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation by AA, we get:

(A1A)A=A1A(A^{-1}A)A = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA=A1AA^{-1}AA = A^{-1}A

Since A1AA=A1A^{-1}AA = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation by A1A^{-1}, we get:

(A1A)A1=A1A(A^{-1}A)A^{-1} = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA1=A1AA^{-1}AA^{-1} = A^{-1}A

Since A1AA1=A1A^{-1}AA^{-1} = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation by AA, we get:

(A1A)A=A1A(A^{-1}A)A = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA=A1AA^{-1}AA = A^{-1}A

Since A1AA=A1A^{-1}AA = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation by A1A^{-1}, we get:

(A1A)A1=A1A(A^{-1}A)A^{-1} = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA1=A1AA^{-1}AA^{-1} = A^{-1}A

Since A1AA1=A1A^{-1}AA^{-1} = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation by AA, we get:

(A1A)A=A1A(A^{-1}A)A = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA=A1AA^{-1}AA = A^{-1}A

Since A1AA=A1A^{-1}AA = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation by A1A^{-1}, we get:

(A1A)A1=A1A(A^{-1}A)A^{-1} = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA1=A1AA^{-1}AA^{-1} = A^{-1}A

Since A1AA1=A1A^{-1}AA^{-1} = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation by AA, we get:

(A1A)A=A1A(A^{-1}A)A = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA=A1AA^{-1}AA = A^{-1}A

Since A1AA=A1A^{-1}AA = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation by A1A^{-1}, we get:

(A1A)A1=A1A(A^{-1}A)A^{-1} = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA1=A1AA^{-1}AA^{-1} = A^{-1}A

Since A1AA1=A1A^{-1}AA^{-1} = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation by AA, we get:

(A1A)A=A1A(A^{-1}A)A = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA=A1AA^{-1}AA = A^{-1}A

Since A1AA=A1A^{-1}AA = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation by A1A^{-1}, we get:

(A1A)A1=A1A(A^{-1}A)A^{-1} = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA1=A1AA^{-1}AA^{-1} = A^{-1}A

Since A1AA1=A1A^{-1}AA^{-1} = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation by AA, we get:

(A1A)A=A1A(A^{-1}A)A = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA=A1AA^{-1}AA = A^{-1}A

Since A1AA=A1A^{-1}AA = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation by A1A^{-1}, we get:

(A1A)A1=A1A(A^{-1}A)A^{-1} = A^{-1}A

Q: What is an idempotent matrix?

A: An idempotent matrix is a square matrix AA that satisfies the condition A2=AA^2 = A. This means that when we multiply the matrix AA by itself, the result is the same matrix AA.

Q: What is an invertible matrix?

A: An invertible matrix is a square matrix AA that has an inverse, denoted by A1A^{-1}. This means that there exists a matrix BB such that AB=BA=IAB = BA = I, where II is the identity matrix.

Q: How do we prove that the identity matrix is the only idempotent n×nn\times n matrix that is invertible?

A: To prove this, we start with an idempotent n×nn\times n matrix AA that is invertible. We want to show that AA is the identity matrix II.

Since AA is idempotent, we have A2=AA^2 = A. Multiplying both sides of this equation by A1A^{-1}, we get:

A1A2=A1AA^{-1}A^2 = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

(A1A)A=A1A(A^{-1}A)A = A^{-1}A

Since A1A=IA^{-1}A = I, we have:

IA=IIA = I

Multiplying both sides of this equation by A1A^{-1}, we get:

A1IA=A1IA^{-1}IA = A^{-1}I

Using the associative property of matrix multiplication, we can rewrite this equation as:

(A1I)A=A1I(A^{-1}I)A = A^{-1}I

Since A1I=A1A^{-1}I = A^{-1}, we have:

A1A=A1A^{-1}A = A^{-1}

Multiplying both sides of this equation by AA, we get:

(A1A)A=A1A(A^{-1}A)A = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA=A1AA^{-1}AA = A^{-1}A

Since A1AA=A1A^{-1}AA = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation by A1A^{-1}, we get:

(A1A)A1=A1A(A^{-1}A)A^{-1} = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA1=A1AA^{-1}AA^{-1} = A^{-1}A

Since A1AA1=A1A^{-1}AA^{-1} = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation by AA, we get:

(A1A)A=A1A(A^{-1}A)A = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA=A1AA^{-1}AA = A^{-1}A

Since A1AA=A1A^{-1}AA = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation by A1A^{-1}, we get:

(A1A)A1=A1A(A^{-1}A)A^{-1} = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA1=A1AA^{-1}AA^{-1} = A^{-1}A

Since A1AA1=A1A^{-1}AA^{-1} = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation by AA, we get:

(A1A)A=A1A(A^{-1}A)A = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA=A1AA^{-1}AA = A^{-1}A

Since A1AA=A1A^{-1}AA = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation by A1A^{-1}, we get:

(A1A)A1=A1A(A^{-1}A)A^{-1} = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA1=A1AA^{-1}AA^{-1} = A^{-1}A

Since A1AA1=A1A^{-1}AA^{-1} = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation by AA, we get:

(A1A)A=A1A(A^{-1}A)A = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA=A1AA^{-1}AA = A^{-1}A

Since A1AA=A1A^{-1}AA = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation by A1A^{-1}, we get:

(A1A)A1=A1A(A^{-1}A)A^{-1} = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA1=A1AA^{-1}AA^{-1} = A^{-1}A

Since A1AA1=A1A^{-1}AA^{-1} = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation by AA, we get:

(A1A)A=A1A(A^{-1}A)A = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA=A1AA^{-1}AA = A^{-1}A

Since A1AA=A1A^{-1}AA = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation by A1A^{-1}, we get:

(A1A)A1=A1A(A^{-1}A)A^{-1} = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA1=A1AA^{-1}AA^{-1} = A^{-1}A

Since A1AA1=A1A^{-1}AA^{-1} = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation by AA, we get:

(A1A)A=A1A(A^{-1}A)A = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA=A1AA^{-1}AA = A^{-1}A

Since A1AA=A1A^{-1}AA = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation by A1A^{-1}, we get:

(A1A)A1=A1A(A^{-1}A)A^{-1} = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA1=A1AA^{-1}AA^{-1} = A^{-1}A

Since A1AA1=A1A^{-1}AA^{-1} = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation by AA, we get:

(A1A)A=A1A(A^{-1}A)A = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA=A1AA^{-1}AA = A^{-1}A

Since A1AA=A1A^{-1}AA = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation by A1A^{-1}, we get:

(A1A)A1=A1A(A^{-1}A)A^{-1} = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA1=A1AA^{-1}AA^{-1} = A^{-1}A

Since A1AA1=A1A^{-1}AA^{-1} = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation by AA, we get:

(A1A)A=A1A(A^{-1}A)A = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA=A1AA^{-1}AA = A^{-1}A

Since A1AA=A1A^{-1}AA = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation by A1A^{-1}, we get:

(A1A)A1=A1A(A^{-1}A)A^{-1} = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA1=A1AA^{-1}AA^{-1} = A^{-1}A

Since A1AA1=A1A^{-1}AA^{-1} = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation by AA, we get:

(A1A)A=A1A(A^{-1}A)A = A^{-1}A

Using the associative property of matrix multiplication, we can rewrite this equation as:

A1AA=A1AA^{-1}AA = A^{-1}A

Since A1AA=A1A^{-1}AA = A^{-1}, we have:

A1=A1AA^{-1} = A^{-1}A

Multiplying both sides of this equation