Linear Algebra Proof involving idempotency

In summary, the conversation discusses proving that (1-2A) is its own inverse, or (1-2A)*(1-2A)=I. The individual is unsure of how to solve the problem and is seeking assistance.
  • #1
PsychonautQQ
784
10

Homework Statement


I = Identity matrix
Suppose that A^2 = A. Prove that I - 2A = (I - 2A)^-1


Homework Equations


ahh don't know what to put here


The Attempt at a Solution


So I have to prove this thing is it's own identity... interesting..

I - 2A = I - 2A^2

(I - 2A^2)*(I - 2A)^-1 = I

Distributive law?
Idk honestly this is all I have gotten.. And it's probably not the right direction, just trying to put all the information I know into one line I guess. Any Mathamavericks out there want to help a noob out?
 
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  • #2
PsychonautQQ said:

Homework Statement


I = Identity matrix
Suppose that A^2 = A. Prove that I - 2A = (I - 2A)^-1

Homework Equations


ahh don't know what to put here

The Attempt at a Solution


So I have to prove this thing is it's own identity... interesting..

I - 2A = I - 2A^2

(I - 2A^2)*(I - 2A)^-1 = I

Distributive law?
Idk honestly this is all I have gotten.. And it's probably not the right direction, just trying to put all the information I know into one line I guess. Any Mathamavericks out there want to help a noob out?
To show that A and B are inverses -- IOW, that B = A-1 -- show that AB = I.
 
  • #3
Isn't that what I set up? I don't know how to solve it
 
  • #4
PsychonautQQ said:
Isn't that what I set up? I don't know how to solve it

You want to show (1-2A) is its own inverse. I.e. (1-2A)*(1-2A)=I.
 
  • #5
PsychonautQQ said:
Isn't that what I set up? I don't know how to solve it
Dick said:
You want to show (1-2A) is its own inverse. I.e. (1-2A)*(1-2A)=I.
What you wrote, Psychonaut, was (1-2A)*(1-2A)-1=I. Do you see the difference?
 
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Likes PsychonautQQ

1. What is idempotency in linear algebra?

Idempotency in linear algebra refers to the property of a matrix or linear transformation where if it is applied twice, it has the same effect as being applied once. In other words, multiplying a matrix or applying a linear transformation to a vector multiple times will not change the result.

2. How is idempotency used in linear algebra proofs?

Idempotency is often used in linear algebra proofs to simplify equations or to show that certain properties hold true. It can also be used to prove the uniqueness of solutions in systems of linear equations.

3. What is the significance of idempotency in linear algebra?

Idempotency is an important property in linear algebra as it allows for simpler and more efficient calculations. It also has applications in areas such as computer graphics, where repeated transformations can be applied to an object without changing its final position or appearance.

4. Can all matrices or transformations be idempotent?

No, not all matrices or transformations are idempotent. In order for a matrix or transformation to be idempotent, it must satisfy the condition that A^2 = A, where A is the matrix or transformation. This is not always the case, and therefore not all matrices or transformations are idempotent.

5. How can I determine if a matrix or transformation is idempotent?

To determine if a matrix or transformation is idempotent, you can simply compute A^2 and compare it to the original matrix or transformation A. If they are equal, then the matrix or transformation is idempotent. You can also check if all the eigenvalues of the matrix or transformation are either 0 or 1, as this is a necessary condition for idempotency.

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