This is a first step toward the goal of finding a way to calculate a s
mallest norm de-regularizing perturbation of a given square matrix pen
cil. Minimal de-regularizing perturbations have geometric characteriza
tions that include a variable projection linear least squares problem
and a minimax characterization reminiscent of the Courant-Fischer theo
rem. The characterizations lead to new, computationally attractive upp
er and lower bounds. We give a brief survey and illustrate strengths a
nd weaknesses of several upper and lower bounds some of which are well
-known and some of which are new. The ultimate goal remains elusive. (
C) 1998 Elsevier Science Inc. All rights reserved.