Can You Solve the Nonsingular Matrix Inverse Problem?

  • MHB
  • Thread starter Chris L T521
  • Start date
In summary, a nonsingular matrix is a square matrix with a non-zero determinant, making it invertible and having a unique solution. The inverse of a matrix is a matrix that undoes the original matrix when multiplied together. Finding the inverse of a nonsingular matrix is important for efficiently solving linear equations and has various real-world applications. The Gauss-Jordan elimination method is a common approach to solving the nonsingular matrix inverse problem. However, there are limitations such as the matrix must be square and non-singular, and the inverse may not exist or be complex in some cases.
  • #1
Chris L T521
Gold Member
MHB
915
0
Thanks again to those who participated in last week's POTW! Here's this week's problem!

-----

Problem: Let $A$ be an $n\times n$ matrix whose characteristic polynomial is
\[p(\lambda)=\lambda^n+a_1\lambda^{n-1}+\ldots+ a_{n-1}\lambda+ a_n.\]
If $A$ is nonsingular, show that
\[A^{-1}=-\frac{1}{a_n}\left( A^{n-1} + a_1A^{n-2} + \ldots + a_{n-2}A+a_{n-1}I_n\right).\]

-----

Hint:
Use the Cayley-Hamilton theorem.

 
Physics news on Phys.org
  • #2
This week's problem was correctly answered by Sudharaka. You can find his solution below.

Using the Cayley-Hamilton theorem we get,

\[p(A)=A^{n} + a_1A^{n-1} + \ldots + a_{n-1}A+a_{n}I_n=0_n\]

where \(0_n\) is the \(n\times n\) zero matrix.

Since \(A\) is non-singular multiplying by \(A^{-1}\) we get,

\[A^{n-1} + a_1A^{n-2} + \ldots + a_{n-2}A+a_{n-1}I_n+a_n A^{-1}=0_n\]

\[\therefore A^{-1}=-\frac{1}{a_n}\left( A^{n-1} + a_1A^{n-2} + \ldots + a_{n-2}A+a_{n-1}I_n\right)\]
 

FAQ: Can You Solve the Nonsingular Matrix Inverse Problem?

What is a nonsingular matrix?

A nonsingular matrix is a square matrix that has a determinant that is not equal to 0. This means that the matrix is invertible and has a unique solution.

What is the inverse of a matrix?

The inverse of a matrix is a matrix that when multiplied with the original matrix results in the identity matrix. In other words, it undoes the effect of the original matrix.

Why is finding the inverse of a nonsingular matrix important?

Finding the inverse of a nonsingular matrix is important because it allows us to solve linear equations and systems of equations efficiently. It is also useful in many applications such as computer graphics, engineering, and statistics.

How do you solve the nonsingular matrix inverse problem?

The simplest way to solve the nonsingular matrix inverse problem is by using the Gauss-Jordan elimination method. This involves performing row operations on the matrix until it is in reduced row echelon form. The resulting matrix will be the inverse of the original matrix.

Are there any limitations to solving the nonsingular matrix inverse problem?

Yes, there are limitations to solving the nonsingular matrix inverse problem. One limitation is that the matrix must be square and have a determinant that is not equal to 0. Additionally, the inverse of a matrix does not exist if the matrix is singular. In some cases, the inverse may also be complex and not real.

Back
Top