Can a Matrix Satisfy \(A^2 = A\) and be Non-Singular?

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  • Thread starter skoker
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In summary, the proof shows that if \(A^2=A\), then either A=I or A is singular, with the conclusion being \(A=I\) if A is a non-singular matrix.
  • #1
skoker
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i have a simple proof is this correct?

prove that if \(A^2=A\), then either A=I or A is singular.

let A be a non singular matrix. then \(A^2=A, \quad A^{-1}A^2=A^{-1}A, \quad IA=I, \quad A=I\) therefore \(A^2=A.\)
 
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  • #2
skoker said:
let A be a non singular matrix. then \(A^2=A, \quad A^{-1}A^2=A^{-1}A, \quad IA=I, \quad A=I\)

Right

therefore \(A^2=A.\)

Why do you write this? $A^2=A$ just by hypothesis.
 
  • #3
Fernando Revilla said:
Right
Why do you write this? $A^2=A$ just by hypothesis.

i suppose that is redundant or unnecessary. i was not sure if it needs a conclusion with the 'therefore'.
 
  • #4
skoker said:
i suppose that is redundant or unnecessary. i was not sure if it needs a conclusion with the 'therefore'.

The therefore should go before the \(A=I\) and you should stop at that point.

CB
 
  • #5


if A is singular, then it cannot have an inverse. Therefore, \(A^2=A\) does not imply \(A=I.\) This shows that if \(A^2=A,\) then either A=I or A is singular.

Yes, your proof is correct. However, it would be helpful to explain why A being singular means it cannot have an inverse. This is because a singular matrix has determinant 0, and a matrix can only have an inverse if its determinant is non-zero. Therefore, A being singular means it cannot have an inverse, and thus cannot satisfy \(A^{-1}A=I.\)
 

FAQ: Can a Matrix Satisfy \(A^2 = A\) and be Non-Singular?

What does it mean to prove that A^2=A?

To prove that A^2=A means to show that the square of a matrix A is equal to the matrix A itself. This can be done by multiplying the matrix A by itself and showing that the result is equal to A.

Why is it important to prove that A^2=A?

Proving that A^2=A is important because it shows that the matrix A has a special property known as idempotence, meaning that it remains unchanged when multiplied by itself. This property has many applications in mathematics and science, particularly in linear algebra and differential equations.

What are the steps to prove that A^2=A?

The steps to prove that A^2=A are as follows:1. Multiply the matrix A by itself, using the rules of matrix multiplication.2. Simplify the resulting matrix by combining like terms.3. Compare the simplified matrix to the original matrix A.4. If the two matrices are equal, then the proof is complete. If not, then the statement A^2=A is false.

Can you provide an example of a matrix that satisfies A^2=A?

Yes, the matrix A = [[1, 0], [0, 0]] satisfies A^2=A. This can be shown by multiplying A by itself, which results in the same matrix A.

Is the statement A^2=A true for all matrices?

No, the statement A^2=A is not true for all matrices. It is only true for certain special matrices that have the property of idempotence. Other matrices may have different properties and will not satisfy the equation A^2=A.

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