Volume 16, pp. 1-29, 2003.
Preconditioning strategies for 2D finite difference matrix sequences
Stefano Serra Capizzano and Cristina Tablino Possio
Abstract
In this paper we are concerned with the spectral analysis of the sequence
of preconditioned matrices
,
where , and where
is the symmetric two-level
matrix coming from a high–order Finite Difference (FD) discretization of
the problem
with denoting the unit outward normal direction and where and
are parameters identifying the precision order of the used FD schemes.
We assume that the coefficient is nonnegative and that the set
of the possible zeros can be represented by a finite
collection of curves.
The proposed preconditioning matrix sequences correspond to two different
choices: the Toeplitz sequence
and a Toeplitz based sequence
that adds to the Toeplitz structure the informative content given by
the suitable scaled diagonal part of .
The former case gives rise to optimal preconditioning sequences
under the assumption of positivity and boundedness
of . With respect to the latter, the main result is the proof
of the asymptotic clustering at unity of the eigenvalues of the
preconditioned matrices, where the “strength” of the cluster depends
on the order , on the regularity features of
and on the presence of zeros of .
Full Text (PDF) [330 KB],
BibTeX
Key words
finite differences, Toeplitz and Vandermonde matrices, clustering and preconditioning, spectral distribution.
AMS subject classifications
65F10, 65N22, 65F15.
Links to the cited ETNA articles
[33] |
Vol. 11 (2000), pp. 55-84 Stefano Serra Capizzano and Cristina Tablino Possio:
High-order finite difference schemes and Toeplitz based preconditioners for elliptic problems
|