Is Every Statement About Matrix Squares True?

In summary, the inverse of a matrix is a matrix that results in the identity matrix when multiplied by the original matrix. Finding the inverse of a matrix is important for solving linear equations, division, and calculating determinants. The inverse can be found using the Gauss-Jordan elimination method or the adjugate matrix method. Not every matrix is invertible, and those that are not are known as singular matrices with no solution for systems of linear equations.
  • #1
tysonk
33
0
Can someone verify these for me and explain?
True/False
No square matrix with real entries can obey A^2 = -I
The only 2X2 matrix that obeys A^2 = 0 is A=0
The only 2X2 matrices that obey A^2=A are A=0 and A=I

Much appreciated.
 
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  • #2
Do you think they are true or false?
 
Last edited:
  • #3
Intuitively,
-false
-false
-true
 
  • #4
What about A^2 when A={{1,0},{0,0}}?
You can show a statement is false with one example.
Can you find counter examples for the first 2?
 

FAQ: Is Every Statement About Matrix Squares True?

What is the inverse of a matrix?

The inverse of a matrix is a matrix that, when multiplied by the original matrix, results in the identity matrix.

Why is finding the inverse of a matrix important?

Finding the inverse of a matrix is important because it allows us to solve systems of linear equations, perform matrix division, and calculate determinants.

How do you find the inverse of a matrix?

The inverse of a matrix can be found by using the Gauss-Jordan elimination method or by using the adjugate matrix method.

Is every matrix invertible?

No, not every matrix is invertible. A matrix is only invertible if its determinant is non-zero.

What happens if a matrix does not have an inverse?

If a matrix does not have an inverse, it is known as a singular matrix. This means that it cannot be inverted and has no solution for systems of linear equations.

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