Link on this page

<E-Book>
Formal Algorithmic Elimination for PDEs / by Daniel Robertz
(Lecture Notes in Mathematics. ISSN:16179692 ; 2121)

Edition 1st ed. 2014.
Publisher (Cham : Springer International Publishing : Imprint: Springer)
Year 2014
Language English
Size VIII, 283 p. 6 illus., 3 illus. in color : online resource
Authors *Robertz, Daniel author
SpringerLink (Online service)
Subjects LCSH:Algebraic fields
LCSH:Polynomials
LCSH:Commutative algebra
LCSH:Commutative rings
LCSH:Associative rings
LCSH:Associative algebras
LCSH:Differential equations
FREE:Field Theory and Polynomials
FREE:Commutative Rings and Algebras
FREE:Associative Rings and Algebras
FREE:Differential Equations
Notes Introduction -- Formal Methods for PDE Systems -- Differential Elimination for Analytic Functions -- Basic Principles and Supplementary Material -- References -- List of Algorithms -- List of Examples -- Index of Notation -- Index
Investigating the correspondence between systems of partial differential equations and their analytic solutions using a formal approach, this monograph presents algorithms to determine the set of analytic solutions of such a system and conversely to find differential equations whose set of solutions coincides with a given parametrized set of analytic functions. After giving a detailed introduction to Janet bases and Thomas decomposition, the problem of finding an implicit description of certain sets of analytic functions in terms of differential equations is addressed. Effective methods of varying generality are developed to solve the differential elimination problems that arise in this context. In particular, it is demonstrated how the symbolic solution of partial differential equations profits from the study of the implicitization problem. For instance, certain families of exact solutions of the Navier-Stokes equations can be computed
HTTP:URL=https://doi.org/10.1007/978-3-319-11445-3
TOC

Hide book details.

E-Book オンライン 電子ブック

Springer eBooks 9783319114453
電子リソース
EB00236122

Hide details.

Material Type E-Book
Classification LCC:QA247-247.45
LCC:QA161.P59
DC23:512.3
ID 4000115467
ISBN 9783319114453

 Similar Items