Proof of Idempotent Matrix with Inverse = Identity Matrix

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In summary, there are two ways to prove that an idempotent matrix with inverse can only be an identity matrix. One way is to multiply both sides of A^2=A by A^-1. The other way is to set up an arbitrary 3x3 matrix and multiply it by itself, which will result in a system of equations that prove the matrix is the identity.
  • #1
keelejody
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is there a direct proof that an idempotent matrix with inverse, can only be an identity matirx

i can't find about how id prove it

i know A^2=A and A^-1 exists

so too AB=BA

its obvious to say elements must be 1 or 0 but finding an overal rule isn't obvious to me
 
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  • #2
If A has an inverse, multiply both sides of A2= A by A-1!
 
  • #3
If you're feeling overly ambitious, you could also try setting up an arbitrary 3x3 matrix (like with entries a, b, c...). Multiply it by itself, and then set it equal to itself. You should come out with a system of equations that should end up proving that your arbitrary matrix is the identity.

The proof above (HallsofIvy) is much more elegant, and applicable for all nxn matrices, but setting up the arbitrary matrix would probably be a good way to practice your matrix math.
 

1. What is an idempotent matrix?

An idempotent matrix is a square matrix that, when multiplied by itself, results in the same matrix. This means that the matrix is its own inverse.

2. What is the identity matrix?

The identity matrix is a square matrix with 1s on the main diagonal and 0s everywhere else. When multiplied by any other matrix, the identity matrix does not change the matrix.

3. How can you prove that a matrix is idempotent with its inverse being the identity matrix?

To prove that a matrix is idempotent with its inverse being the identity matrix, you can multiply the matrix by itself and show that the result is the same matrix. Then, you can multiply the matrix by its supposed inverse (which is the identity matrix) and show that the result is also the same matrix.

4. What are the properties of an idempotent matrix?

Some properties of an idempotent matrix include: it is a square matrix, it is its own inverse, it has at least one eigenvalue of 0 or 1, and the sum of its rows and columns are all equal to 1.

5. What are some real-world applications of idempotent matrices?

Idempotent matrices have many applications in various fields such as computer science, physics, and economics. They are used in computer graphics, coding theory, Markov chains, and many other areas where repeated operations are needed. In economics, idempotent matrices are used in input-output models and to solve linear simultaneous equations. In physics, they are used to describe physical systems that are in a constant state of equilibrium.

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