Gershgorin Circle Theorem, mathematical derivation of eigenvalue estimates

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SUMMARY

The discussion centers on the Gershgorin Circle Theorem, specifically its application for estimating eigenvalues of real symmetric matrices. The theorem states that the eigenvalues of an (n x n) matrix are contained within the union of Gershgorin disks, which are defined by the diagonal entries and the sum of the absolute values of the off-diagonal entries in each row. The estimates for eigenvalues can be derived from the intervals formed by these disks on the real number line, making the theorem particularly useful in practical applications, especially in physics.

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I intend to use the Gershgorin Circle Theorem for estimating the eigenvalues of a real symmetric (n x n) matrix. Unfortunately, I'm a bit confused with the examples one might find on the internet; What would be the mathematical
formula for deriving estimates on eigenvalues?

I understand that certain disks are formed, each centered at the diagonal entry, with the radius equal to the summation of absolute values of the associated off-diagonal row entries. Which steps to take from this point to get the estimates on the eigenvalues?
 
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I hope you have found your solution 5 years later, but since others may have the same question and because I find the theorem very interesting and possibly useful, I'll post.

The Gershgorin disk theorem gives us that the spectrum of the matrix is a subset of the union of the gershgorin disks, i.e. the eigenvalues of the matrix are elements of the union of the disks as you rightly defined them. So the theorem gives an approximate value of the eigenvalues in the complex plane. Though in physics, we are often only dealing with real eigenvalues, so the disks are really intervals on the real number line. So your estimate would be any value in the interval.

I Hope this helps.
 
This thread has run its course. Normally older threads are closed, this one was open. So after a reasonable answer it seems to be time to shut the door.
 

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