Research Article Generation and Identification of Ordinary Differential Equations of Maximal Symmetry Algebra
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Loewy Decomposition of Linear Differential Equations
Bull. Math. Sci. (2013) 3:19–71 DOI 10.1007/s13373-012-0026-7 Loewy decomposition of linear differential equations Fritz Schwarz Received: 26 January 2012 / Revised: 11 June 2012 / Accepted: 27 June 2012 / Published online: 29 July 2012 © The Author(s) 2012. This article is published with open access at SpringerLink.com Abstract This paper explains the developments on factorization and decomposi- tion of linear differential equations in the last two decades. The results are applied for developing solution procedures for these differential equations. Although the subject is more than 100 years old, it has been rediscovered as recently as about 20 years ago. A fundamental ingredient has been the easy availability of symbolic computation systems to accomplish the extensive calculations usually involved in applications; to this end the interactive website http://www.alltypes.de has been provided. Although originally only developed for ordinary equations, it has been extended to large classes of partial equations as well. In the first part Loewy’s results for ordinary equations are outlined. Thereafter those results of differential algebra are summarized that are required for extending Loewy’s theory to partial equations. In the remaining part a fairly complete discussion of second- and some third-order partial differential equa- tions in the plane is given; it is shown that Loewy’s result remains essentially true for these equations. Finally, several open problems and possible extensions are discussed. Keywords Linear differential equations · Factorization · Loewy decomposition Mathematics Subject Classification (2000) Primary 54C40 · 14E20; Secondary 46E25 · 20C20 Communicated by N. Trudinger. F. Schwarz (B) Fraunhofer Gesellschaft, Institut SCAI, 53754 Sankt Augustin, Germany e-mail: [email protected] 123 20 F. -
The Linear, Nonlinear and Partial Differential Equations Are Not Fractional Order Differential Equations
Universal Journal of Engineering Science 3(3): 46-51, 2015 http://www.hrpub.org DOI: 10.13189/ujes.2015.030302 The Linear, Nonlinear and Partial Differential Equations are not Fractional Order Differential Equations Ali Karci Department of Computer Engineering, Inonu University, Turkey Copyright © 2015 by authors, all rights reserved. Authors agree that this article remains permanently open access under the terms of the Creative Commons Attribution License 4.0 International License Abstract The differential equations were considered as equations are satisfied by the current conditions; changing fractional order differential equations in literature. the conditions will yield new equations. Homotopy Analysis Method was used to obtain analytical The deficiencies in those methods in literature are coming solutions of these equations. We applied reverse processes to from the fractional order derivative definitions used in the analytical solutions of some fractional order differential many studies. The methods involving deficiencies yield equations, and observed that solutions could not satisfy the non-consistent results. Due to this case, there is a method corresponding equations. Due to this case, we proposed a proposed for fractional order derivative in Karcı studies new approach for fractional order derivative and it was [15,16] and by using this method concludes in whether verified by using this new approach that any differential converting any differential equations to fractional order equations cannot be converted into fractional order differential equations is valid or not. We saw that converting differential equations so simply. any differential equations into fractional order differential equations by changing order is not a valid method, since Keywords Derivatives, Fractional Calculus, Differential applications of the proposed method in Karcı’s papers Equations, Fractional Order Differential Equations illustrated that any differential equations cannot be converted MSC Classification: 26A33 into fractional order differential equations so simply. -
Solutions to the Exercises
Appendix A Solutions to the Exercises For many exercises extensive calculations are necessary that are difficult to perform by pencil and paper. It is recommended to apply the userfunctions provided on the website www.alltypes.de in those cases; a short description is given in Appendix E. Chapter 1 00 0 1.1. For y C a1y C a2y D 0 the answer is ˇ ˇ ˇ ˇ ˇ ˇ 1 ˇ y y ˇ 1 ˇ y0 y0 ˇ ˇ y y ˇ a D ˇ 1 2 ˇ ;aD ˇ 1 2 ˇ W .2/ D ˇ 1 2 ˇ : 1 .2/ ˇ 00 00 ˇ 2 .2/ ˇ 00 00 ˇ where ˇ 0 0 ˇ W y1 y2 W y1 y2 y1 y2 000 00 0 For y C a1y C a2y C a1y D 0 the answer is ˇ ˇ ˇ ˇ ˇ y y y ˇ ˇ y y y ˇ 1 ˇ 1 2 3 ˇ 1 ˇ 1 2 3 ˇ a D ˇ 0 0 0 ˇ ;aD ˇ 00 00 00 ˇ ; 1 .3/ ˇ y1 y2 y3 ˇ 2 .3/ ˇ y1 y2 y3 ˇ W ˇ 000 000 000 ˇ W ˇ 000 000 000 ˇ y1 y2 y3 y1 y2 y3 ˇ ˇ ˇ ˇ ˇ y0 y0 y0 ˇ ˇ y y y ˇ 1 ˇ 1 2 3 ˇ ˇ 1 2 3 ˇ a D ˇ 00 00 00 ˇ where W .3/ D ˇ 0 0 0 ˇ : 3 .3/ ˇ y1 y2 y3 ˇ ˇ y1 y2 y3 ˇ W ˇ 000 000 000 ˇ ˇ 00 00 00 ˇ y1 y2 y3 y1 y2 y3 1.2. -
Decomposition of Ordinary Differential Equations
Bull. Math. Sci. (2017) 7:575–613 https://doi.org/10.1007/s13373-017-0110-0 Decomposition of ordinary differential equations Fritz Schwarz1 Received: 26 May 2017 / Revised: 4 October 2017 / Accepted: 4 October 2017 / Published online: 22 November 2017 © The Author(s) 2017. This article is an open access publication Abstract Decompositions of linear ordinary differential equations (ode’s) into com- ponents of lower order have successfully been employed for determining their solutions. Here this approach is generalized to nonlinear ode’s. It is not based on the existence of Lie symmetries, in that it is a genuine extension of the usual solution algorithms. If an equation allows a Lie symmetry, the proposed decompositions are usually more efficient and often lead to simpler expressions for the solution. For the vast majority of equations without a Lie symmetry decomposition is the only avail- able systematic solution procedure. Criteria for the existence of diverse decomposition types and algorithms for applying them are discussed in detail and many examples are given. The collection of Kamke of solved equations, and a tremendeous compilation of random equations are applied as a benchmark test for comparison of various solution procedures. Extensions of these proceedings for more general types of ode’s and also partial differential equations are suggested. Keywords Ordinary differential equations · Decomposition · Exact solutions Mathematics Subject Classification Primary 34A05 · 34A34; Secondary 34C14 · 34B60 Communicated by Neil Trudinger. B Fritz Schwarz [email protected] 1 Fraunhofer Institute for Algorithms and Scientific Computing SCAI, 53754 Sankt Augustin, Germany 123 576 F. Schwarz 1 Introduction: description of the problem Ever since its introduction more than 300years ago the concept of a differential equa- tion, and connected to it finding its solutions, has been a fundamental problem in mathematics and its applications in natural sciences.