Finding the Inverse of Symmetric Matrices with Non-Real Coefficients

In summary, OhMyMarkov is looking for a general formula for obtaining the inverse of a symmetric matrix, specifically those with coefficients that may not be real. Sudharaka suggests using the general form for 3x3 matrices and adjusting the coefficients to fit the given example.
  • #1
OhMyMarkov
83
0
Hello everyone!

I'm struggling to find a general formula for obtaining an inverse of a symmetric matrix, for e.g.

1 i -1
i -i 2
-1 2 1

Any help is appreciated!
 
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  • #2
OhMyMarkov said:
Hello everyone!

I'm struggling to find a general formula for obtaining an inverse of a symmetric matrix, for e.g.

1 i -1
i -i 2
-1 2 1

Any help is appreciated!

Hi OhMyMarkov, :)

Are you specifically concerned about 3x3 symmetric matrices? The general form of the inverse of a 3x3 matrix is given >>here<<. For a symmetric matrix \(b=d,\,c=g\mbox{ and } f=h\).

Kind Regards,
Sudharaka.
 
  • #3
Hello Sudharaka!

Well, I'm actually interested in symmetric matrices that have this shape (the given example is for a 3x3 matrix):

1 1 1
1 2 4
1 4 16Note that the coefficients need not be real.
 

FAQ: Finding the Inverse of Symmetric Matrices with Non-Real Coefficients

What is an inverse of a symmetric matrix?

The inverse of a symmetric matrix is a matrix that, when multiplied by the original symmetric matrix, results in an identity matrix. In other words, it "undoes" the original matrix, just like how division is the inverse operation of multiplication.

How is the inverse of a symmetric matrix calculated?

The inverse of a symmetric matrix can be calculated by using a mathematical formula known as the "Gauss-Jordan elimination method". This involves transforming the original matrix into reduced row echelon form and then back into matrix form.

What properties does an inverse of a symmetric matrix have?

Some important properties of an inverse of a symmetric matrix include: it is unique, it is also symmetric, and the inverse of the inverse is the original matrix. Additionally, if the original matrix is invertible (i.e. its determinant is not equal to 0), then its inverse is also invertible.

Why is the inverse of a symmetric matrix important?

The inverse of a symmetric matrix is important in various areas of mathematics, engineering, and science. It is used to solve systems of linear equations, calculate determinants, and find solutions to optimization problems. It also plays a crucial role in the study of eigenvectors and eigenvalues.

Can any matrix have an inverse?

No, not all matrices have an inverse. In order for a matrix to have an inverse, it must be square (i.e. have the same number of rows and columns) and its determinant must not equal 0. A matrix that does not have an inverse is called a singular or non-invertible matrix.

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