For a given matrix, Gershgorin’s theorem defines discs in the complex plane whose union contains the eigenvalues of the matrix. The theorem can provide approximations to eigenvalues. It can also provide qualitative information, such as that all the eigenvalues lie in a particular half-plane.
Theorem 1 (Gershgorin’s theorem).
The eigenvalues of lie in the union of the discs in the complex plane
Proof. Let be an eigenvalue of and a corresponding eigenvector and let . From the th equation in we have
and since it follows that belongs to the th disc, .
The Gershgorin discs are defined in terms of a summation over the rows of , but since the eigenvalues of are the same as those of the same result holds with summation over the columns.
A consequence of the theorem is that if does not belong to any of the Gershgorin discs then is nonsingular. This is equivalent to the well-known result that a strictly diagonally dominant matrix is nonsingular.
Another consequence of the theorem is that if is symmetric and all the discs lie in the open right half-plane then the eigenvalues are positive and so is positive definite. This condition is equivalent to having positive diagonal elements and being strictly diagonally dominant.
The Gershgorin discs for the matrix
are shown here:
The eigenvalues—three real and one complex conjugate pair—are the black dots. It happens that each disc contains an eigenvalue, but this is not always the case. For the matrix
the discs are
and the blue disc does not contain an eigenvalue. The next result, which is proved by a continuity argument, provides additional information that increases the utility of Gershgorin’s theorem. In particular it says that if a disc is disjoint from the other discs then it contains an eigenvalue.
If of the Gershgorin discs of are disjoint from the other discs then their union contains eigenvalues of .
Theorem 2 tells us that the rightmost disc in our example contains one eigenvalue, , since it is disjoint from the other discs, and the union of the other four discs contains four eigenvalues. Furthermore, must be real, because if not it occurs in a complex conjugate pair since the matrix is real, and as the disc is symmetric about the real axis would also lie in the disc, contradicting Theorem 2.
Gershgorin’s theorem is most useful for matrices that are close to being diagonal. A technique that can produce improved eigenvalue estimates is to apply the theorem to for some nonsingular diagonal matrix . This similarity transformation does not change the eigenvalues but it does change the discs, and the aim is to choose to reduce the radiuses of the discs. Consider our example. We know that there is one eigenvalue in the rightmost disc and that it is real, so . For the rightmost disc shrinks and remains distinct from the others and we obtain the sharper bounds . The discs for are shown here:
Most books on matrix analysis or numerical linear algebra include Gershgorin’s theorem.
Eigenvalue inclusion regions have been developed with discs replaced by more complicated shapes, such as Brauer’s ovals of Cassini.
Varga’s 2004 book is devoted to Gershgorin’s theorem and related results. It reproduces Gershgorin’s 1931 paper in an appendix.
- S. Gerschgorin. Uber die Abgrenzung der Eigenwerte einer Matrix. Izv. Akad. Nauk. SSSR, 1:749–754, 1931.
- Richard S. Varga. Geršgorin and His Circles. Springer-Verlag, Berlin, Germany, 2004.