The Golub-Welsch algorithm [Math. Comp., 23: 221-230 (1969)] for computing
Gaussian quadrature rules is of importance in estimating quadratic forms.
Quadrature rules based on this algorithm have long been assumed to be
symmetric. Recent research indicates that the presence of asymmetric quadrature
nodes may be more often. Such a divergence has led to varying error analyses of
the Lanczos quadrature method. Since symmetry often implies simplicity, it is
of great interest to ask when do Lanczos iterations generate symmetric
quadrature rules. This paper derives a sufficient condition that ensures
symmetric quadrature nodes which partially answers the question that when the
Ritz values of a symmetric matrix are symmetrically distributed. Additionally,
we establish both lower and upper bounds on the disparity between the minimum
Lanczos iterations required for symmetric and asymmetric quadrature.Comment: 17 pages, 2 figure