Rosenkranz, Markus, Buchberger, Bruno, Engl, Heinz W. (2003) Solving linear boundary value problems via non-commutative Groebner bases. Applicable Analysis, 82 (7). pp. 655-675. ISSN 0003-6811. (doi:10.1080/0003681031000118981) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:29978)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://dx.doi.org/10.1080/0003681031000118981 |
Abstract
A new approach for symbolically solving linear boundary
value problems is presented. Rather than using general-purpose tools
for obtaining parametrized solutions of the underlying ODE and fitting
them against the specified boundary conditions (which may be quite
expensive), the problem is interpreted as an operator inversion
problem in a suitable Banach space setting. Using the concept of the
oblique Moore-Penrose inverse, it is possible to transform the
inversion problem into a system of operator equations that can be
attacked by virtue of non-commutative Groebner bases. The resulting
operator solution can be represented as an integral operator having
the classical Green's function as its kernel. Although, at this stage
of research, we cannot yet give an algorithmic formulation of the
method and its domain of admissible inputs, we do believe that it has
promising perspectives of automation and generalization; some of these
perspectives are discussed.
Item Type: | Article |
---|---|
DOI/Identification number: | 10.1080/0003681031000118981 |
Uncontrolled keywords: | Linear boundary value problems, Green's function, Moore-Penrose equations, symbolic solution |
Subjects: |
Q Science > QA Mathematics (inc Computing science) > QA150 Algebra Q Science > QA Mathematics (inc Computing science) > QA372 Ordinary differential equations Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science |
Depositing User: | Markus Rosenkranz |
Date Deposited: | 27 Jul 2012 18:00 UTC |
Last Modified: | 05 Nov 2024 10:12 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/29978 (The current URI for this page, for reference purposes) |
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