The Gersgorin circle theorem gives a region in the complex plane which contains all the eigenvalues of a square complex matrix. It is one of those rare instances of a theorem which is elegant and useful and which has a short, elementary proof. It is surprising that it hasn't made its way into many introductory texts on linear algebra. One reason for this neglect may be the fact that many (even most) mathematicians still regard linear algebra as being only about algebra. But modern linear algebra is more than algebra. It's linear systems, matrix theory and analysis, geometry, applications, numerics and, of course, algebra. The first course in linear algebra at most colleges and universities is to a great extent a service course for future scientists. Gersgorin's theorem is not an algebraic theorem. It is a simple analytic theorem involving elementary inequalities derived from the basic algebraic eigenvalue/ eigenvector equation. If A = [aij] is a complex matrix of order n and A is an eigenvalue of A, then there exists a nonzero vector x = (x1, x2,. . ., xn)T in Cn such that