Solving a Matrix Equation: Choosing the Right Answer

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In summary, the conversation is discussing a question about a square matrix A that satisfies the equation A^2 + A + I = 0. The options for the correct answer are presented, but the participants of the conversation agree that none of the options are correct. They then discuss the possibility of the correct answer being c) or that the original equation may have been mistyped. However, one participant argues that any square matrix satisfying a polynomial with a non-zero constant term is invertible.
  • #1
Yankel
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Hello,

I have this question, I need to choose the correct answer:

A is a square matrix such that

\[A^{2}+A+I=0\]a) \[A^{-1}=A\]

b) \[A^{-1}=A^{2}\]

c) It is not possible to say if A is invertible

d) A is not invertible

e) \[A^{-1}=A+I\]I got that

\[-A^{2}-A=I\]

and thus

\[A(-A-I)=0\]

and thus

\[A^{-1}=(-A-I)\]

and answer which doesn't exist, am I wrong ?

Thanks !
 
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  • #2
Yes, you are wrong! You seem to be under the impression that if B is the inverse of A then AB= 0. That is not the case- it is AB= I.
From A^2+ A+ I= 0, -(A^2+ A)= I, A(-(A- I))= I.
 
  • #3
Putting 0 was a typing mistake. You seemed to be doing what I did, your answer also doesn't appear as an option
 
  • #4
Perhaps the original equation was $A^{2}+A-I=0$? Your working (except for the typo) seems correct to me.
 
  • #5
no, the question is as I wrote it, so you guys agree with me that none of the possible answers is correct ?
 
  • #6
Yankel said:
no, the question is as I wrote it, so you guys agree with me that none of the possible answers is correct ?

As stated, I would agree that none of the answers are correct.
 
  • #7
I think the answer must be c), there is never any guarantee that an arbitrary square matrix is invertible.
 
  • #8
Prove It said:
I think the answer must be c), there is never any guarantee that an arbitrary square matrix is invertible.

Any square matrix that satisfies a polynomial with a non-zero constant term *is* invertible.

This is equivalent to saying the minimal polynomial for such a matrix has non-zero constant term, that is: it does not have 0 as an eigenvalue and thus has trivial kernel.
 

FAQ: Solving a Matrix Equation: Choosing the Right Answer

What is a matrix equation?

A matrix equation is an equation in which matrices (arrays of numbers) are used to represent the variables and coefficients. It is an important tool in linear algebra and is used to solve systems of linear equations.

How do you solve a matrix equation?

To solve a matrix equation, you need to use basic algebraic methods such as addition, subtraction, multiplication, and division to manipulate the matrices until you isolate the variable matrix on one side of the equation. Then, you can solve for the variables using methods such as Gaussian elimination or Cramer's rule.

What is the purpose of solving a matrix equation?

The purpose of solving a matrix equation is to find the values of the variables that satisfy the equation. This can be useful in a variety of applications, such as solving systems of equations in physics and engineering, or finding optimal solutions in economics and game theory.

How do you choose the right answer when solving a matrix equation?

When solving a matrix equation, the right answer is the set of values that make the equation true. To check if your answer is correct, you can substitute the values back into the original equation and see if it satisfies the equation. Additionally, you can use a calculator or software to verify your solution.

Are there any tips for solving a matrix equation more efficiently?

Yes, there are a few tips for solving a matrix equation more efficiently. First, try to simplify the matrices by using properties such as associativity and distributivity. Also, try to eliminate any unnecessary calculations by using zero or one matrices. Finally, make sure to double check your work and use a calculator or software to speed up the process.

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