A numerical approximation to some specific nonlinear differential equations using magnus series expansion method

Similar documents
Comparative numerical solutions of stiff ordinary differential equations using Magnus series expansion method

Magnus series expansion method for solving nonhomogeneous stiff systems of ordinary differential equations

Solution of Differential Equations of Lane-Emden Type by Combining Integral Transform and Variational Iteration Method

A Third-degree B-spline Collocation Scheme for Solving a Class of the Nonlinear Lane-Emden Type Equations

THE MAGNUS METHOD FOR SOLVING OSCILLATORY LIE-TYPE ORDINARY DIFFERENTIAL EQUATIONS

Numerical Solution of Linear Fredholm Integro-Differential Equations by Non-standard Finite Difference Method

Chapter 2 Analytical Approximation Methods

SOLUTION OF FRACTIONAL INTEGRO-DIFFERENTIAL EQUATIONS BY ADOMIAN DECOMPOSITION METHOD


Polynomial vector fields in R 3 having a quadric of revolution as an invariant algebraic surface

VARIATION OF PARAMETERS METHOD FOR SOLVING SIXTH-ORDER BOUNDARY VALUE PROBLEMS

RATIONAL CHEBYSHEV COLLOCATION METHOD FOR SOLVING NONLINEAR ORDINARY DIFFERENTIAL EQUATIONS OF LANE-EMDEN TYPE

A simple local variational iteration method for solving nonlinear Lane-Emden problems

Improving the Accuracy of the Adomian Decomposition Method for Solving Nonlinear Equations

Application of the perturbation iteration method to boundary layer type problems

Conformable variational iteration method

Homotopy Perturbation Method for the Fisher s Equation and Its Generalized

Variation of Parameters Method for Solving Fifth-Order. Boundary Value Problems

An Elegant Perturbation Iteration Algorithm for the Lane-Emden Equation

SANGRADO PAGINA 17CMX24CM. PhD Thesis. Splitting methods for autonomous and non-autonomous perturbed equations LOMO A AJUSTAR (AHORA 4CM)

A New Technique of Initial Boundary Value Problems. Using Adomian Decomposition Method

Approximate Solution of BVPs for 4th-Order IDEs by Using RKHS Method

Solving Two Emden Fowler Type Equations of Third Order by the Variational Iteration Method

EVANESCENT SOLUTIONS FOR LINEAR ORDINARY DIFFERENTIAL EQUATIONS

Homotopy Perturbation Method for Solving Systems of Nonlinear Coupled Equations

Taylor polynomial approach for systems of linear differential equations in normal form and residual error estimation

RELIABLE TREATMENT FOR SOLVING BOUNDARY VALUE PROBLEMS OF PANTOGRAPH DELAY DIFFERENTIAL EQUATION

Exact Solutions for a Class of Singular Two-Point Boundary Value Problems Using Adomian Decomposition Method

An Exponential Matrix Method for Numerical Solutions of Hantavirus Infection Model

Research Article A Nonclassical Radau Collocation Method for Nonlinear Initial-Value Problems with Applications to Lane-Emden Type Equations

Exact Solutions for the Nonlinear (2+1)-Dimensional Davey-Stewartson Equation Using the Generalized ( G. )-Expansion Method

Variational iteration method for solving multispecies Lotka Volterra equations

THE DIFFERENTIAL TRANSFORMATION METHOD AND PADE APPROXIMANT FOR A FORM OF BLASIUS EQUATION. Haldun Alpaslan Peker, Onur Karaoğlu and Galip Oturanç

On the Homotopy Perturbation Method and the Adomian Decomposition Method for Solving Abel Integral Equations of the Second Kind

On the Solution of the Van der Pol Equation

A Modified Adomian Decomposition Method for Solving Higher-Order Singular Boundary Value Problems

The Homotopy Perturbation Method for free vibration analysis of beam on elastic foundation

An Implicit Method for Numerical Solution of Second Order Singular Initial Value Problems

Solution of Quadratic Integral Equations by the Adomian Decomposition Method

On the convergence of the homotopy analysis method to solve the system of partial differential equations

Traveling wave solutions of new coupled Konno-Oono equation

Four Point Gauss Quadrature Runge Kuta Method Of Order 8 For Ordinary Differential Equations

A Legendre Computational Matrix Method for Solving High-Order Fractional Differential Equations

The General Form of Linearized Exact Solution for the KdV Equation by the Simplest Equation Method

arxiv: v1 [nlin.ao] 10 Jun 2008

Research Statement. James Bremer Department of Mathematics, University of California, Davis

Backward error analysis

Exact Analytic Solutions for Nonlinear Diffusion Equations via Generalized Residual Power Series Method

Method for solving Lane-Emden type differential equations by Coupling of wavelets and Laplace transform. Jai Prakesh Jaiswal, Kailash Yadav 1

Exact solutions of the two-dimensional Boussinesq and dispersive water waves equations

Numerical solution for chemical kinetics system by using efficient iterative method

3. Solving wave and wave-like equations by TAM

High-order actions and their applications to honor our friend and

An Alternative Approach to Differential-Difference Equations Using the Variational Iteration Method

AN EXISTENCE-UNIQUENESS THEOREM FOR A CLASS OF BOUNDARY VALUE PROBLEMS

SOME REMARKS ON KRASNOSELSKII S FIXED POINT THEOREM

Efficient methods for time-dependence in semiclassical Schrödinger equations

S. Sánchez, F. Casas & A. Fernández

1. Introduction , Campus, Karaman, Turkey b Department of Mathematics, Science Faculty of Selcuk University, 42100, Campus-Konya, Turkey

HIGH ORDER VARIABLE MESH EXPONENTIAL FINITE DIFFERENCE METHOD FOR THE NUMERICAL SOLUTION OF THE TWO POINTS BOUNDARY VALUE PROBLEMS

arxiv: v1 [math.na] 8 Jan 2019

Solutions of Nonlinear Oscillators by Iteration Perturbation Method

The first integral method and traveling wave solutions to Davey Stewartson equation

Number of limit cycles of the Liénard equation

Numerical Solution of Fourth Order Boundary-Value Problems Using Haar Wavelets

Existence and Uniqueness of Anti-Periodic Solutions for Nonlinear Higher-Order Differential Equations with Two Deviating Arguments

On The Exact Solution of Newell-Whitehead-Segel Equation Using the Homotopy Perturbation Method

Module 6: Implicit Runge-Kutta Methods Lecture 17: Derivation of Implicit Runge-Kutta Methods(Contd.) The Lecture Contains:

Comparison of Optimal Homotopy Asymptotic Method with Homotopy Perturbation Method of Twelfth Order Boundary Value Problems

THE Hamilton equations of motion constitute a system

Analytical Solution of BVPs for Fourth-order Integro-differential Equations by Using Homotopy Analysis Method

New Analytical Solutions For (3+1) Dimensional Kaup-Kupershmidt Equation

On Linearization by Generalized Sundman Transformations of a Class of Liénard Type Equations and Its Generalization

Application of Homotopy Perturbation and Modified Adomian Decomposition Methods for Higher Order Boundary Value Problems

EXP-FUNCTION METHOD FOR SOLVING HIGHER-ORDER BOUNDARY VALUE PROBLEMS

Exact Travelling Wave Solutions of the Coupled Klein-Gordon Equation by the Infinite Series Method

An Analytic Study of the (2 + 1)-Dimensional Potential Kadomtsev-Petviashvili Equation

New explicit solitary wave solutions for (2 + 1)-dimensional Boussinesq equation and (3 + 1)-dimensional KP equation

Application of the Decomposition Method of Adomian for Solving

On the Linearization of Second-Order Dif ferential and Dif ference Equations

A MINIMAL 2-D QUADRATIC MAP WITH QUASI-PERIODIC ROUTE TO CHAOS

Solving Linear Sixth-Order Boundary Value Problems by Using Hyperbolic Uniform Spline Method

Adaptation of Taylor s Formula for Solving System of Differential Equations

Exact Travelling Wave Solutions to the (3+1)-Dimensional Kadomtsev Petviashvili Equation

Application of the Bernstein Polynomials for Solving Volterra Integral Equations with Convolution Kernels

Adomian Decomposition Method with Laguerre Polynomials for Solving Ordinary Differential Equation

A Model of Evolutionary Dynamics with Quasiperiodic Forcing

An efficient algorithm for computation of solitary wave solutions to nonlinear differential equations

Laguerre polynomial solution of high- order linear Fredholm integro-differential equations

Solving nonlinear fractional differential equation using a multi-step Laplace Adomian decomposition method

An extended complete Chebyshev system of 3 Abelian integrals related to a non-algebraic Hamiltonian system

REAL AND COMPLEX HOMOGENEOUS POLYNOMIAL ORDINARY DIFFERENTIAL EQUATIONS IN n-space AND m-ary REAL AND COMPLEX NON-ASSOCIATIVE ALGEBRAS IN n-space

DIFFERENTIAL TRANSFORMATION METHOD FOR SOLVING DIFFERENTIAL EQUATIONS OF LANE-EMDEN TYPE

Method of Successive Approximations for Solving the Multi-Pantograph Delay Equations

Exact and approximate nonlinear waves generated by the periodic superposition of solitons

Dynamics of multiple pendula without gravity

Nonlinear Free Vibration of Nanobeams Subjected to Magnetic Field Based on Nonlocal Elasticity Theory

MAGNUS EXPANSION AS AN APPROXIMATION TOOL FOR ODES TIM CARLSON. Advisory Committee Chair. APPROVED: Dean, College of Natural Science and Mathematics

Solution for the nonlinear relativistic harmonic oscillator via Laplace-Adomian decomposition method

LIMIT CYCLES OF POLYNOMIAL DIFFERENTIAL EQUATIONS WITH QUINTIC HOMOGENOUS NONLINEARITIES

Transcription:

NTMSCI 4, No. 1, 125-129 (216) 125 New Trends in Mathematical Sciences http://dx.doi.org/1.2852/ntmsci.21611566 A numerical approximation to some specific nonlinear differential equations using magnus series expansion method Sure Kome 1, Aytekin Eryilmaz 1 and Mehmet Tarik Atay 2 1 Department of Mathematics, Hacibektas Veli University, Nevsehir, Turkey 2 Department of Mechanical Engineering, Abdullah Gul University, Kayseri, Turkey Received: 13 August 215, Revised: 1 September 215, Accepted: 14 September 215 Published online: 3 January 216. Abstract: In this paper, we investigate the effect of Magnus Expansion Method which is based on Lie groups and Lie algebras on some specific nonlinear differential equations which are Liénard and Isothermal Gas Spheres Equation. Moreover, we obtain the numerical results and then we present approximate, exact values and absolute error norms in detail. Keywords: Magnus Expansion Method, Liénard equation, isothermal gas spheres equation, geometric integration, initial value problems. 1 Introduction Liénard type equations emerge in the fields of biology, physics, engineering and mechanics [4,9,19,12]. The second part of the 16th Hilberts problem [1] together with the Riemann conjecture are the unique two problems of the list of Hilbert. The generalized polynomial Liénard differential equation was presented in [14] and Liénard type second order nonlinear differential equation of the form [14,15] y (x) + f (y)y (x) + g(y) = h(x) (1) where f (y) and g(y) are polynomials in the variable y of degrees n and m respectively. The isothermal gas sphere equation has the following form; y (x) + 2 x y (x) + e y(x) =, x (2) subject to initial conditions y() =, y () =. More detailed information about the Eq. (2) can be found in [7]. The semi-analytical solution of the Eq. (2) was found by Wazwaz in [2], Liao in [13], Singh et al. in [18] and Ramos in [17] by using ADM, ADM, MHAM and series expansion Corresponding author e-mail: suresavasci@gmail.com c 216 BISKA Bilisim Technology

126 S. Kome, A. Eryilmaz and M. T. Atay: A numerical approximation to some specific nonlinear differential... respectively as y(x) 1 6 x2 + 1 5.4! x4 8 21.6! x6 + 122 81.8! x8 61.67 495.1! x1. (3) In 1954, an exponential representation of the solution of a first order linear differential equation for a linear operator was presented by W. Magnus [16]. Magnus series have taken attention in the theory of differential equations [6] and control theory [3]. In 1999, Iserles and Norsett examined on the solution of linear differential equations in Lie groups [11]. They obtained a geometric integrator which is Magnus Expansion Method by using affordable quadrature rules. Casas and Iserles developed explicit nonlinear Magnus Expansion Method and they presented fourth order method in [5]. Atay et al. analyzed Magnus Series Expansion Method for solving nonhomogeneous stiff systems of ordinary differential equations in 215 [1]. Also, Atay et al. presented comparative numerical solutions of stiff ordinary differential equations using Magnus series expansion method in 215 [2]. In this paper, our aim is to show efficiency of Magnus Expansion Method on numerical solutions of some specific nonlinear differential equations which are Liénard and isothermal gas sphere equation. 2 The Magnus expansion method for nonlinear differential equations In this section, we deal with the nonlinear Lie-type equation. The initial value problem of nonlinear Lie-type equaiton is considered as Y (t) = A(t,Y )Y Y () = Y G (4) where G is a matrix Lie group, A : R + G g and g is the corresponding Lie algebra. Firstly, we demonstrate the solution of (4) in the form, Y (t) = e Ω(t) Y. (5) We can obtain the differential equation satisifed by Ω: Ω = d exp 1 Ω (A(t,Y )) = d exp 1 Ω (A(t,eΩ(t) Y )), Ω() = O. (6) where, d exp 1 Ω (C) = B k k= k! adk ΩC, (7) {B k } k Z + are the Bernoulli numbers (B = 1,B 1 = 1 2,B 2 = 1 6,B 3 =,...). Note that, all odd-indexed Bernoulli numbers except for B 1 are zero and ad m is adjoint representation which defined as follows: ad Ω A = A, adm+1 Ω A = [Ω,adm Ω A], m. The nonlinear Magnus series for Ω can be obtained by Picard s iteration formula, Ω [] (t) O c 216 BISKA Bilisim Technology

NTMSCI 4, No. 1, 125-129 (216) / www.ntmsci.com 127 Ω [m+1] (t) = = d exp 1 Ω [m] (s) A(s,eΩ [m] (s) Y )ds k= B k k! adk Ω [m] (s) A(s,eΩ [m] (s) Y )ds, m. (8) The power series of Ω [k] (t) and Ω [k+1] (t) differ in terms of order O(t m+1 ). Then we can omit all terms of Ω [k] (t) with the order greater than O(t m ). This necessitates careful analysis of each term in the expansion. If Ω [] = O and if we take m = for the first step, then Ω [1] = k= B k k! adk Ω [] O A(s,eΩ [] O Y )ds Ω [1] = ( B! ad O A(s,Y ) + B 1 1! ad1 OA(s,Y ) + B 2 2! ad2 OA(s,Y ) +...)ds Here, except first terms in the integral, all the terms are zero because of the zero multiplication of the adjoint representation. In that case, Ω [1] is equal to only to the first term in the integral, for this reason Ω [1] = A(s,Y )ds = Ω(t) + O(t 2 ). When Ω [3] (t) is computed, it turns out that Ω [3] (t) reproduces correctly the expression of Ω [2] (t) up to O(t 2 ). So, it can be truncated d exp 1 at k = term and take Ω [2] (t) = A(s,e Ω [1](s) Y )ds. (9) Consequently, Casas and Iserles [5] showed that, if it can be truncated d exp 1 at k = m 2 term, it is obtained explicit approximations as follows: Ω [1] (t) = A(s,Y )ds, (1) Ω [m] (t) = m 2 B t k ad k k= k! Ω [m 1] (s) A(s,eΩ [m 1](s) Y )ds, m 2. (11) Now,it is time to compute the values of the integrals by using numerical quadrature formulas. Casas and Iserles created numerical integrator based on the nonlinear Magnus Expansion in [5] as follows. 2.1 Nonlinear Magnus Expansion Method with order three Ω [3] (t) = where A 2 (s) A(s,e Ω [2] (s) Y ). If we use Simpson s rule, we have Ω [3] (h) = h 6 ( A 2 (s) 1 ) 2 [Ω [2] (s),a 2 (s)]) ds (12) ( A(,Y ) + 4A 2 ( h ) 2 ) + A 2(h) h 3 [Ω [2] ( h 2 ),A 2( h 2 )] h 12 [Ω [2] (h),a 2 ( h 2 )] + O(h4 ). (13) c 216 BISKA Bilisim Technology

128 S. Kome, A. Eryilmaz and M. T. Atay: A numerical approximation to some specific nonlinear differential... 2.2 Nonlinear Magnus Expansion Method with order four Ω [4] (t) = 2 k= where A 3 (s) A(s,e Ω [3] (s) Y ). If we use Simpson s rule, we have B t k ad k k! Ω [3] (s) A 3(s)ds (14) Ω [4] (h) = h 6 A(,Y ) + h 6 4A 3( h 2 ) h 3 [Ω [3] ( h 2 ),A 3( h 2 )] + h 18 [Ω [3] ( h 2 ),[Ω [3] ( h 2 ),A 3( h 2 )]] + h 6 A 3(h) h 12 [Ω [3] (h),a 3 (h)] + h 72 [Ω [3] (h),[ω [3] (h),a 3 (h)]]. (15) 3 Numerical examples In this section, we applied fourth-order Magnus Expansion Method for nonlinear equations(nmem4). Then, we illustrated approximate, exact solutions and absolute errors of each problems with figures in detail. Later, we presented the absolute errors with detailed tables. Example 1. Consider the following Liénard Equation y (x) + y(x)y (x) + y(x) + y 2 (x) = cos 2 (x) sin(x)cos(x), y() = 1, y () = (16) whose analytical solution is the function y(x) = cos(x) [8]. Table 1: Numerical values of approximate, exact and maximum error results obtained from NMEM4 for,eq.(16) with t [,.5],h =.1. h NMEM4 Exact Absolute error 1 1.1.994867565913.9954165278258 1.449 1 4.2.9789118152487274.98665778412416 1.15476 1 3.3.9514346422581428.95533648912566 3.9185 1 3.4.911847795159781.921699428851 9.2132 1 3.5.859762623722116.877582561893728 1.78199 1 2 Example 2. Consider the isothermal gas sphere equation which is given in Eq.(2), y (x) + 2 x y (x) + e y(x) =, x, y() =, y () =. (17) c 216 BISKA Bilisim Technology

NTMSCI 4, No. 1, 125-129 (216) / www.ntmsci.com 129 Table 2: Numerical values of approximate, exact and maximum error results obtained from NMEM4 for Eq.(17) with t [,1], and h =.1. h NMEM4 Exact Absolute error 1 1.2.99877281294231.993368717542979 5.441 1 3.4.9911258298643896.97389144132259 1.72344 1 2.6.972749268397473.9427594942946572 2.99895 1 2.8.94117237284342.91778897837728 3.93914 1 2 1.8955412417438.853143638373529 4.2365 1 2 4 Conclusion In this paper, we have presented the numerical solutions of Liénard and Isothermal gas sphere equations by using Magnus series expansion method. As it can be seen in tables, Magnus series expansion method is a reliable method for the numerical solutions of nonlinear ordinary differential equations but not so powerful. Because, Magnus expansion is an explicit method. References [1] Atay M.T.; Eryilmaz A.; Kome S., Magnus Series Expansion Method for solving nonhomogeneous stiff systems of ordinary differential equations, Kuwait Journal of Sciences, (Accepted). [2] Atay M.T.; Eryilmaz A.; Kome S.; Kome C.; Piipponen S., Comparative numerical solutions of stiff ordinary differential equations using Magnus series expansion method, New Trends in Mathematical Sciences 3(1):35-45, (215). [3] Brocket R. W., Volterra series and geometric control theory, Automatica 12:167-176, (1976). [4] Burton T. A., Stability and periodic solutions of ordinary and functional differential equations, AcademicPress, Orlando, (1985). [5] Casas F.; Iserles A., Explicit Magnus expansions for nonlinear equations,j. Phys. A: Math. Gen. 39:5445-5461, (26). [6] Chen K. T., Integration of paths, geometric invariants, and a generalized Baker-Hausdorff formula,annals Math. 67:164-178, (1957). [7] Davis H. T., Introduction to nonlinear differential and integral equations, Dover, New York, (1962). [8] Gámez D.; Garralda Guillem A. I.; Ruiz Gálan M., Nonlinear initial-value problems and Schauder bases, Nonlinear Analysis 63:97-15, (25). [9] Hale J. K., Theory of functional differential equations, Springer-Verlag, New York, (1977). [1] Hilbert D., Mathematische probleme (lecture), Nachr. Ges. Wiss. Gottingen Math.-Phys. Kl. 253-297, (19). [11] Iserles A.; Norsett S. P., On the solution of linear differential equations in lie groups, Phil. Trans. R. Soc. A 357:983-119, (1999). [12] Kuang Y., Delay differential equations: with applications in population dynamics, AcademicPress, New York, (1993). [13] Liao S., A new analytic algorithm of Lane Emden type equations, Appl. Math. Comput. 142:1-16, (23). [14] Liénard A., Étude des oscillations entreténues, Revue générale de lélectricité 23:91-912, (1928). [15] Liénard A., Étude des oscillations entreténues, Revue générale de lélectricité 23:946-954, (1928). [16] Magnus W., On the exponential solution of differential equations for a linear operator, Comm. Pure and Appl. Math. 7:639-673, (1954). [17] Ramos J. I., Series approach to the Lane Emden equation and comparison with the homotopy perturbation method,chaos Solitons Fractals 28:4-48, (28). [18] Singh O. P.; Pandey R. K.; Singh V. K., An analytic algorithm of Lane Emden type equations arising in astrophysics using modified homotopy analysis method, Comput. Phys. Commun. 18:1116-1124, (29). [19] Yashizaw T., Asymptotic behavior of solutions of differential equations, Colloq. Math. Soc. JÃ nos Bolyai 47:1141-1172, (1987). [2] Wazwaz A., A new algorithm for solving differential equations of Lane Emden type, Appl. Math. Comput. 118:287-31, (21). c 216 BISKA Bilisim Technology