Numerical Experiments with Isometric Mapping and Back-Projection for Conditioning Families in a Simple Sobolev Space

Author(s)Dallas, A.G.
Date Accessioned2005-02-17T18:20:17Z
Date Available2005-02-17T18:20:17Z
Publication Date2001
AbstractNumerically stable Galerkin procedures can be constructed by ensuring that the families of trial- and test-functions are well conditioned in the respective Hilbert spaces between which the operator is an (appropriate) isomorphism. We explain an idea for constructing a family that may be well conditioned in a given Sobolev space of nonzero fractional order from a family that is well conditioned in the corresponding zero-order space, by using a naturally occurring isometric operator followed by projection back onto the original subspace. Effectively, the construction results in "preconditioning matrices," to be used in transforming the original Galerkin matrix to produce new ones which may be of much smaller condition number. The underlying geometric setting must be sufficiently simple, so that the Sobolev structures can me "manipulated numerically." While we have not yet proven the well-conditioning of the constructed families, the use of the scheme is illustrated numerically in applications to the approximate solution of a first-kind integral equation arising in two-dimensional acoustic scattering, where a pronounced stabilizing effect is observed.en
SponsorThis work was supported by the Air Force Office of Scientific Research, Air Force Materiel Command, USAF, under Grant F49620-96-1-0039. The views and conclusions contained herein are those of the author and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the Air Force Office of Scientific Research or the U.S. Government.en
Extent739282 bytes
MIME typeapplication/pdf
URLhttp://udspace.udel.edu/handle/19716/341
Languageen_US
PublisherDepartment of Mathematical Sciencesen
Part of SeriesTechnical Report: 2001-01
TitleNumerical Experiments with Isometric Mapping and Back-Projection for Conditioning Families in a Simple Sobolev Spaceen
TypeTechnical Reporten
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