The Exp-function method for solving nonlinear space–time fractional differential equations in mathematical physics

The Exp-function method for solving nonlinear space–time fractional differential equations in mathematical physics

Journal of the Association of Arab Universities for Basic and Applied Sciences (2017) xxx, xxx–xxx University of Bahrain Journal of the Association ...

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Journal of the Association of Arab Universities for Basic and Applied Sciences (2017) xxx, xxx–xxx

University of Bahrain

Journal of the Association of Arab Universities for Basic and Applied Sciences www.elsevier.com/locate/jaaubas www.sciencedirect.com

The Exp-function method for solving nonlinear space–time fractional differential equations in mathematical physics Ozkan Guner a,*, Ahmet Bekir b a Cankiri Karatekin University, Faculty of Economics and Administrative Sciences, Department of International Trade, Cankiri, Turkey b Eskisehir Osmangazi University, Art-Science Faculty, Department of Mathematics-Computer, Eskisehir, Turkey

Received 3 October 2016; revised 21 November 2016; accepted 9 December 2016

KEYWORDS Exact solution; Space–time fractional Telegraph equation; Space–time fractional KPP equation; Exp-function method

Abstract Using the Exp-function method, we derive exact solutions of the nonlinear space–time fractional Telegraph equation and space–time fractional KPP equation. As a result, we obtain many exact analytical solutions including hyperbolic function. The fractional derivative is described in Jumarie’s modified Riemann–Liouville sense. This method is very effective and convenient for solving nonlinear fractional differential equations. Ó 2016 University of Bahrain. Publishing services by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

1. Introduction Fractional calculus is a field of applied mathematics that deals with derivatives and integrals of arbitrary orders. Fractional differential equations (FDEs) are used in various fields of physics, mathematics and engineering. So, they have gained much attention many mathematicians. Applications of FDEs for instance; signal processing, control theory, viscoelastic materials, systems identification, biomedical sciences, biology, finance, fractional dynamics as well as other disciplines (Miller and Ross, 1993;Podlubny, 1999; Kilbas et al., 2006). In the last two decades, a lot of attention is paid to finding appropriate solutions of FDEs. There are many effective methods to obtain numerical and analytical solutions of these kinds * Corresponding author. E-mail addresses: [email protected] (O. [email protected] (A. Bekir). Peer review under responsibility of University of Bahrain.

Guner),

of FDEs, such as homotopy analysis method, adomian decomposition method, variational iteration method, homotopy perturbation method (Daftardar-Gejji and Bhalekar, 2008; Erturk et al., 2008; Gepreel and Mohamed, 2013; Sweilam et al., 2007; Gepreel, 2011; Mohamed et al., 2012) and the tanh method, the Exp-function method, the first integral method, the functional variable method, the ðG0=GÞ-expansion method, the sub-equation method, the modified trial equation method, the simplest equation method, the generalized Kudryashov method, the ansatz method and so on (Naher et al., 2013; Zheng, 2012, 2013; Bekir and Guner, 2013, 2014; Bekir et al., 2015a,b,c; Bekir et al., 2016; Bulut et al., 2013; Yan and Xu, 2015; Zhang et al., 2010; Guner, 2015; Guner and Bekir, 2016; Guner et al., 2015a,b; Taghizadeh et al., 2013; Khan and Akbar, 2013, 2014; Lu, 2012; Eslami et al., 2014; Zhang and Zhang, 2011; Liu and Chen, 2013). The Exp-function method was first proposed by He and Wu in 2006 (He, 2006) and systematically studied in He and Abdou (2007), Noor et al. (2008), Ebaid (2012) and

http://dx.doi.org/10.1016/j.jaubas.2016.12.002 1815-3852 Ó 2016 University of Bahrain. Publishing services by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Please cite this article in press as: Guner, O., Bekir, A. The Exp-function method for solving nonlinear space–time fractional differential equations in mathematical physics. Journal of the Association of Arab Universities for Basic and Applied Sciences (2017), http://dx.doi.org/10.1016/j.jaubas.2016.12.002

2

O. Guner, A. Bekir

Navickas et al. (2010). The Exp-function method was originally proposed to solve PDEs. However, its application to fractional calculus is rare and primary. In 2013, this method was successfully extended to fractional calculus, and it becomes an effective tool for fractional differential equations (see He, 2013; Guner and Bekir, 2017). There are different kinds of fractional derivative operators. The most famous one is the Caputo definition that the function should be differentiable (Caputo, 1967). Recently, Jumarie derived definitions for the fractional derivative called modified Riemann–Liouville, which are suitable for continuous and non-differentiable functions. This paper adopts the Jumarieı´ s derivative, which has been disadvantages, and has already been updated by some new ones, for example AtanganaBaleanu derivative and He derivative (Atangana and Koca, 2016;Atangana and Baleanu, 2016; Sayevand and Pichaghchi, 2016; He, 2011). The order a of Jumarie’s derivative is defined by Jumarie (2006, 2009): ( Daw fðwÞ ¼

1 d Cð1aÞ dw

Rw 0

;

h 6 a < h þ 1; h P 1: ð1:1Þ

where f : R ! R; w ! fðwÞ denotes a continuous (but not necessarily differentiable) function and satisfying above properties Daw wc ¼

Cð1 þ cÞ wca Cð1 þ c  aÞ

c > 0;

ð1:2Þ

Daw ðCfðwÞÞ ¼ CDaw fðwÞ;

ð1:3Þ

Daw fafðwÞ þ bgðwÞg ¼ aDaw fðwÞ þ bDaw gðwÞ;

ð1:4Þ

Daw C ¼ 0;

ð1:5Þ

where a; b and C are constant. The outline of the present paper is as follows. In Section 2, we have a brief description of the Exp-function method for solving fractional partial differential equations. In Section 3, we apply the Exp-function method on the nonlinear space–time fractional Telegraph equation and the nonlinear fractional Kolmogorov Petrovskii-Piskunov (KPP) equation respectively. Finally, some conclusions are given in Section 4. 2. Description of the Exp-function method for solving fractional partial differential equations We take into consideration the following general nonlinear FDE of the type a b 2b Fðu; Dat u; Dbx u; D2a t u; Dt Dx u; Dx u; . . .Þ ¼ 0;

uðx; yÞ ¼ UðnÞ; n¼

kxb cta  ; Cð1 þ bÞ Cð1 þ aÞ

0 < a; b 6 1 ð2:1Þ

where F is a polynomial of u; u is an unknown function and Da partial fractional derivative of u, in which the highest order derivatives and the nonlinear terms are involved. The fractional complex transform was proposed by He and Li to convert a fractal space (time) to its continuous partner, the physical basis was illustrated by He in his recent review articles (Li and He, 2010;He et al., 2012; Hu and He, 2016). Wu and Liang gave a very clear mathematic analysis of relationship between fractal dimensions and fractional calculus in Wu and Liang (2017).

ð2:2Þ ð2:3Þ

where k – 0 and c – 0 are constants. The fractional chain rule is defined as dU a Dn dn t dU a D n Dax u ¼ rx dn x Dat u ¼ rt

ð2:4Þ

where rt and rx are named as sigma indexes (Aksoy et al., 2016). We can choose rt ¼ rx ¼ L, where L is a constant. When we substitute, (2.2) with (1.2) and (2.4) into (2.1), we can rewrite Eq. (2.1) in the following NODE; QðU; U0 ; U00 ; U000 ; . . .Þ ¼ 0:

ðw  nÞa ðfðnÞ  fð0ÞÞdn; 0 < a < 1

ðahÞ

ðfðhÞ ðwÞÞ

Using the fractional complex transform

ð2:5Þ

where UðnÞ is the nth derivative of U with respect to n. Suppose that the solution of NODE (2.5) can be expressed in the following form Pd an exp ½nn UðnÞ ¼ Pqn¼c ð2:6Þ b m¼p m exp ½mn where p; q; c and d are positive integers which are known to be further determined, an and bm are unknown constants. To determine the value of c and p, we balance the linear term of the lowest order of equation Eq. (2.5) with the lowest order nonlinear term. Similarly, the value of d and q can be determined. 3. Applications of the proposed method Example 1: We consider the nonlinear space–time fractional Telegraph equation (Jafari et al., 2014) 2a a 3 D2a tt u  Dxx u þ Dt u þ cu þ bu ¼ 0;

ð3:1Þ

a is a parameter describing the order of the fractional space and time derivative. When a ¼ 1, Eq. (3.1) is called the nonlinear Telegraph equation. Wang and Li, presented to construct the traveling wave solutions of this equation (Wang and Li, 2008). Also, Jafari et al. applied the sub equation method Eq. (3.1) and obtained the many exact solutions. Zayed and Al-Nowehy solved the equation by the generalized Kudryashov method and obtained the exact solutions of nonlinear PDEs in mathematical physics (Zayed and Al-Nowehy, 2016). Using the fractional complex transform, uðx; tÞ ¼ UðnÞ; n¼

kxa cta  ; Cð1 þ aÞ Cð1 þ aÞ

ð3:2Þ ð3:3Þ

where k and c are constants. When we substitute (3.3) with (1.2) and (2.4) into (3.1), this Eq. (3.1) can reduced to an ODE ðc2  k2 ÞU00  cU0 þ cU þ bU3 ¼ 0; 0

where U ¼

ð3:4Þ

dU . dn

Please cite this article in press as: Guner, O., Bekir, A. The Exp-function method for solving nonlinear space–time fractional differential equations in mathematical physics. Journal of the Association of Arab Universities for Basic and Applied Sciences (2017), http://dx.doi.org/10.1016/j.jaubas.2016.12.002

The Exp-function method for in mathematical physics

3

Balancing the order of U00 and U3 in Eq. (3.4), we obtain c1 exp½ðc þ 3pÞn þ    ; U ¼ c2 exp½4pn þ    00

ð3:5Þ

If we take b1 ¼ 1 and b0 ¼ 1 Eq. (3.16) becomes u3;4 ðx; tÞ ¼ 

pffiffiffi pffiffiffi b þ b cosh

 pffiffiffiffiffiffiffiffiffiffi 

pffiffiffi i c 

9c2 2cxa 3cta 2Cð1þaÞ

pffiffiffi  b sinh

 pffiffiffiffiffiffiffiffiffiffi 

9c2 2cxa 3cta 2Cð1þaÞ

ð3:17Þ

and U3 ¼

:

c3 exp½3cn þ    ; c4 exp½3pn þ   

ð3:6Þ

where ci is determined coefficient only for simplicity. Balancing the lowest order of Exp-function in Eqs. (3.5) and (3.6) we obtain ðc þ 3pÞ ¼ ð3c þ pÞ;

ð3:7Þ

which leads to the result p ¼ c:

ð3:8Þ

In the same way also we have 3q þ d ¼ 4d;

ð3:9Þ

and this gives q ¼ d:

ð3:10Þ

If we set p ¼ c ¼ 1 and q ¼ d ¼ 1, Eq. (2.5) reduces to 0 þa1 expðnÞ UðnÞ ¼ ab11 expðnÞþa : expðnÞþb0 þb1 expðnÞ

ð3:11Þ

When we substitute Eq. (3.11) into Eq. (3.1), by the help of Maple, we get the following results, Case 1: qffiffiffiffiffiffiffi a1 ¼ 0; a1 ¼ b1  bc ; a0 ¼ 0; b1 ¼ b1 ;

b0 ¼ 0; pffiffiffiffiffiffiffiffiffiffi 9c2 2c k¼ 4 :

c ¼ 3c4 ;

ð3:12Þ

b1 ¼ b1 ;

where b1 is free parameter. When substitute these results into (3.11), we get the following exact solution  pffiffiffiffiffiffiffiffiffiffi

qffiffiffiffiffiffi  9c2 2cxa 3cta  bc exp 4Cð1þaÞ    pffiffiffiffiffiffiffiffiffiffi  : 9c2 2cxa 3cta  9c2 2cxa 3cta þ b1 exp  4Cð1þaÞ 4Cð1þaÞ

b1  pffiffiffiffiffiffiffiffiffiffi

u1;2 ðx;tÞ ¼ b1 exp





ð3:13Þ

If we take b1 ¼ 1 and b1 ¼ 1 Eq. (3.13) becomes pffiffiffi i c cosh u1;2 ðx;tÞ ¼ 

 pffiffiffiffiffiffiffiffiffiffi 

4Cð1þaÞ

pffiffiffi 2 b cosh



 pffiffiffiffiffiffiffiffiffiffi

pffiffiffi  þ i c sinh  pffiffiffiffiffiffiffiffiffiffi 

9c2 2cxa 3cta



9c2 2cxa 3cta 4Cð1þaÞ

9c2 2cxa 3cta 4Cð1þaÞ

:

b1 ¼ 0; c ¼ 3c2 ;

b0 ¼ b0 ; pffiffiffiffiffiffiffiffiffiffi 9c2 2c k¼ 2 :

a1 ¼ 0; b1 ¼ b1 ;

a0 ¼ 0;

a1 ¼ b1

b1 ¼ 0;

b0 ¼ b0 ; pffiffiffiffiffiffiffiffiffiffi 9c2 2c k¼ 2 :

b1 ¼ b1 ;



 3c2 ;

qffiffiffiffiffiffiffi  bc ; ð3:18Þ

where b1 is free parameter. Similarly, we obtain   pffiffiffiffiffiffiffiffiffiffi  qffiffiffiffiffiffiffi  9c2 2cxa þ3cta b1  bc exp  2Cð1þaÞ   pffiffiffiffiffiffiffiffiffiffi  : u5;6 ðx; tÞ ¼ 2  9c 2cxa þ3cta b0 þ b1 exp  2Cð1þaÞ

ð3:19Þ

Eq. (3.19) becomes, if we take b1 ¼ 1 and b0 ¼ 1  pffiffiffiffiffiffiffiffiffiffi  pffiffiffi  9c2 2cxa þ3cta  i c sinh 2Cð1þaÞ  pffiffiffiffiffiffiffiffiffiffi   pffiffiffiffiffiffiffiffiffiffi : u5;6 ðx;tÞ ¼  pffiffiffi pffiffiffi pffiffiffi  9c2 2cxa þ3cta  9c2 2cxa þ3cta  b sinh b þ b cosh 2Cð1þaÞ 2Cð1þaÞ pffiffiffi i c cosh

 pffiffiffiffiffiffiffiffiffiffi 

9c2 2cxa þ3cta 2Cð1þaÞ



ð3:20Þ

where i ¼ 1. Case 4: qffiffiffiffiffiffiffi a1 ¼ b1  bc ; 2

b1 ¼ b1 ; c ¼ 3c2 ;

a0 ¼ 0;

a1 ¼ 0;

b0 ¼ b0 ; pffiffiffiffiffiffiffiffiffiffi 9c2 2c k¼ 2 :

b1 ¼ 0;

where b1 is free parameter. In the same way we get  pffiffiffiffiffiffiffiffiffiffi  qffiffiffiffiffiffiffi  9c2 2cxa 3cta b1  bc exp 2Cð1þaÞ  pffiffiffiffiffiffiffiffiffiffi  : u7;8 ðx; tÞ ¼  9c2 2cxa 3cta b0 þ b1 exp 2Cð1þaÞ

ð3:21Þ

ð3:22Þ

Eq. (3.22) becomes, when we take b1 ¼ 1 and b0 ¼ 1  pffiffiffiffiffiffiffiffiffiffi

 pffiffiffiffiffiffiffiffiffiffi  pffiffiffi  9c2 2cxa 3cta þ i c sinh 2Cð1þaÞ  pffiffiffiffiffiffiffiffiffiffi   pffiffiffiffiffiffiffiffiffiffi : u7;8 ðx;tÞ ¼  pffiffiffi pffiffiffi pffiffiffi  9c2 2cxa 3cta  9c2 2cxa 3cta þ b sinh b þ b cosh 2Cð1þaÞ 2Cð1þaÞ 

9c2 2cxa 3cta 2Cð1þaÞ



ð3:23Þ

where i2 ¼ 1. Case 2: a1 ¼ 0;

a1 ¼ 0;

pffiffiffi i c cosh



ð3:14Þ

qffiffiffiffiffiffiffi a0 ¼ b0  bc ;

where i2 ¼ 1. Case 3:

ð3:15Þ

where b0 is free parameter. Substituting these results into (3.11), we get qffiffiffiffiffiffiffi b0  bc   pffiffiffiffiffiffiffiffiffiffi  : u3;4 ðx; tÞ ¼ ð3:16Þ  9c2 2cxa 3cta b0 þ b1 exp  2Cð1þaÞ

where i ¼ 1. Case 5: 2

a1 ¼ 0;

a0 ¼ 0;

a1 ¼ b1

b1 ¼ b1 ;

b0 ¼ 0; pffiffiffiffiffiffiffiffiffiffi 9c2 2c k¼ 4 :

b1 ¼ b1 ;



 3c4 ;

qffiffiffiffiffiffiffi  bc ; ð3:24Þ

where b1 is free parameter. These results give   pffiffiffiffiffiffiffiffiffiffi  qffiffiffiffiffiffi  9c2 2cxa þ3cta b1  bc exp  4Cð1þaÞ  pffiffiffiffiffiffiffiffiffiffi    pffiffiffiffiffiffiffiffiffiffi  : u9;10 ðx;tÞ ¼  9c2 2cxa þ3cta  9c2 2cxa þ3cta b1 exp þ b1 exp  4Cð1þaÞ 4Cð1þaÞ ð3:25Þ

Please cite this article in press as: Guner, O., Bekir, A. The Exp-function method for solving nonlinear space–time fractional differential equations in mathematical physics. Journal of the Association of Arab Universities for Basic and Applied Sciences (2017), http://dx.doi.org/10.1016/j.jaubas.2016.12.002

4

O. Guner, A. Bekir If we take b1 ¼ 1 and b1 ¼ 1 Eq. (3.25) becomes pffiffiffi i c cosh

 pffiffiffiffiffiffiffiffiffiffi 

u9;10 ðx;tÞ ¼ 

pffiffiffi 2 b cosh

 pffiffiffiffiffiffiffiffiffiffi

pffiffiffi   i c sinh  pffiffiffiffiffiffiffiffiffiffi 

9c2 2cxa þ3cta 4Cð1þaÞ





9c2 2cxa þ3cta 4Cð1þaÞ

9c2 2cxa þ3cta 4Cð1þaÞ

2 3 Dat u  D2a x u þ lu þ cu þ du ¼ 0;

 : ð3:26Þ

where i ¼ 1. Case 6: 2

qffiffiffiffiffiffiffi  bc ;

a1 ¼ 0;

a0 ¼ b0

b1 ¼ b1 ;

b0 ¼ b0 ; pffiffiffiffiffiffiffiffiffiffi 9c2 2c k¼ 2 :

c ¼  3c2 ;

a1 ¼ 0; ð3:27Þ

b1 ¼ 0;

where b0 is free parameter. Substituting these results into (3.11), we have qffiffiffiffiffiffiffi b0  bc  pffiffiffiffiffiffiffiffiffiffi : ð3:28Þ u11;12 ðx; tÞ ¼  9c2 2cxa þ3cta b0 þ b1 exp 2Cð1þaÞ If we take b1 ¼ 1 and b0 ¼ 1 Eq. (3.28) becomes u3;4 ðx; tÞ ¼ 

pffiffiffi pffiffiffi b þ b cosh

 pffiffiffiffiffiffiffiffiffiffi 

pffiffiffi i c 

9c2 2cxa þ3cta 2Cð1þaÞ

pffiffiffi þ b sinh

 pffiffiffiffiffiffiffiffiffiffi 

9c2 2cxa þ3cta 2Cð1þaÞ

:

ð3:29Þ

where i2 ¼ 1. Case 7: a1 ¼ a1 ; b1 ¼ ia1

qffiffi

b ; c

c ¼ c;

a0 ¼ a0 ; b0 ¼ ia0

qffiffi

b ; c

a1 ¼ b1

qffiffiffiffiffiffiffi  bc ; ð3:30Þ

b1 ¼ b1 ;

k ¼ k:

where a1 ; a0 and b1 are free parameters. Substituting these results into (3.11) we get  a    a  qffiffi cta cta þ a0  ib1 bc exp  kx a1 exp kx Cð1þaÞ Cð1þaÞ qffiffi qffiffi  a   a : u13;14 ðx; tÞ ¼ cta cta  ia0 bc þ b1 exp kx ia1 bc exp kx Cð1þaÞ Cð1þaÞ ð3:31Þ where i2 ¼ 1 and from ((3.14)), ((3.17)), ((3.24)), ((3.23)), ((3.25)), ((3.31)) it is possible to see that the solution will exist provided c – 0 and c – 29. Example 2: Nonlinear fractional Kolmogorov–Petrovskii–Piskunov (KPP) equation has the form (Zayed and Amer, 2015):



u1;2 ðx; tÞ ¼

pffiffiffiffiffiffiffiffiffiffiffi

c2 4dlc b1 2d

ð3:32Þ

where 0 < a 6 1 and l; c; d are non zero constants. Nonlinear fractional KPP equation is important in the physical fields, and it includes the fractional Klein–Gordon equation, fractional Fitzhugh–Nagumo equation, fractional Newell–Whitehead equation, fractional Burgers equation, fractional Fisher equation, fractional Cahn–Allen equation, fractional Chaffee–Infanfe equation and fractional Huxlay equation. Zayed and Amer applied the improved Riccati equation method and found more general exact solutions which include the solitary wave solutions, the periodic solutions and the rational function solutions. Zayed et al. applied the fractional ðDan G=GÞ-expansion method Eq. (3.32) and obtained three types of solutions via the solitary, trigonometric and rational solutions (Zayed et al., 2015). Song and Wang have implemented the differential transform method for the approximate solution of this equation (Song and Wang, 2012). When a ¼ 1 Eq. (3.32) is called the nonlinear KPP equation and it has been discussed in (Feng et al., 2011) using the ðG0=GÞ-expansion method. In Zayed and Ibrahim (2014), Zayed and Ibrahim have obtained the solitary wave solutions via the modified simple equation method. Hariharan has obtained the analytical/numerical solutions of this equation with the Homotopy analysis method (HAM) for linear and nonlinear Kolmogorov–Petrovskii–Piskunov (KPP) and fractional KPP equations (Hariharan, 2013). Now, we solve Eq. (3.32) using the proposed method of Section 2. To reduce this equation to the following ODE with integer order, we use the expression (2.3): cLU0  k2 L2 U00 þ lu þ cu2 þ du3 ¼ 0;

ð3:33Þ

Same approach in the previous example, we have p ¼ c and q ¼ d. Substituting Eq. (3.11) into Eq. (3.33), and collecting all the terms with the same power of e j ; j ¼ 3; . . . ; 3 together and then equating each coefficient equal to zero, yields a set of algebraic equations. By solving this algebraic equations with help of symbolic computation, we get. Case 1: a1 ¼ 0;

a0 ¼ 0;

b1 ¼ b1 ; c¼

pffiffiffiffiffiffiffiffiffiffiffi

6ldþc2  c2 4dl ; 8Ld

a1 ¼

pffiffiffiffiffiffiffiffiffiffiffi



c2 4dlc b1 ; 2d

b0 ¼ 0; b1 ¼ b1 ; qffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi  pffiffiffiffiffiffiffiffiffiffiffi k¼

d c2 2dlþc 4Ld

c2 4dl

: ð3:34Þ

where a1 and b1 are free parameters. By substituting these results into (3.11), we get

0 0 qffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi 11  pffiffiffiffiffiffiffiffiffiffiffi  pffiffiffiffiffiffiffiffiffiffiffi d c2 2dlþc c2 4dl ta 6ldþc2  c2 4dl ta AA exp @@  4LdCð1þaÞ

8LdCð1þaÞ

0 qffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi 1  pffiffiffiffiffiffiffiffiffiffiffi  pffiffiffiffiffiffiffiffiffiffiffi d c2 2dlþc c2 4dl ta 6ldþc2  c2 4dl ta A b1 exp @  4LdCð1þaÞ 8LdCð1þaÞ

ð3:35Þ

ffi 0 0 rffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi 11  pffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi  pffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi 2  2dl þ c 2  4dl ta 2 a 2 c d c 6ld þ c  c  4dl t CC B B B CC þ b1 exp B  @@ AA 4LdCð1 þ aÞ 8LdCð1 þ aÞ

Please cite this article in press as: Guner, O., Bekir, A. The Exp-function method for solving nonlinear space–time fractional differential equations in mathematical physics. Journal of the Association of Arab Universities for Basic and Applied Sciences (2017), http://dx.doi.org/10.1016/j.jaubas.2016.12.002

The Exp-function method for in mathematical physics

5

pffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi If we take b1 ¼ 2; b1 ¼ 1 and c2  4dl ¼ 2d  c Eq. (3.35) becomes 0 qffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi  pffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi d c2  2dl þ c 2d  c ta 1 1 u1;2 ðx; tÞ ¼  tanh @ 2 2 4dLCð1 þ aÞ   ! p ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi ffi 6ld þ c2  2d  c ta  : ð3:36Þ 8dLCð1 þ aÞ Case 2: a1 ¼ 0;

a0 ¼ a0 ;



a1 ¼



pffiffiffiffiffiffiffiffiffiffiffi

c2 4dlc b1 ; 2d

pffiffiffiffiffiffiffiffiffiffiffi db0 2da0 þcb0 þb0 c2 4dl  pffiffiffiffiffiffiffiffiffiffiffi ; b0 ¼ b0 ; b1 ¼  b1 ¼ b1 ; b1 c2 2dlþc c2 4dl qffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi   p ffiffiffiffiffiffiffiffiffiffi ffi pffiffiffiffiffiffiffiffiffiffiffi d c2 2dlþc c2 4dl 6ldþc2  c2 4dl c¼ ; k¼ : 4Ld 2Ld

ð3:37Þ

where a0 ; b0 and b1 are free parameters. Substituting these results into (3.11), we get

a0 þ u3;4 ðx; tÞ ¼

pffiffiffiffiffiffiffiffiffiffiffi



c2 4dlc b1 2d





in (3.14), (3.17), (3.20), (3.23), (3.26), (3.31), (3.36) and (3.39) are new exact solutions to the these equations. References Aksoy, E., Kaplan, M., Bekir, A., 2016. Exponential rational functionmethod for space–time fractional differential equations. Waves Random Complex Media 26 (2), 142–151. Atangana, A., Koca, I., 2016. Chaos in a simple nonlinear system with Atangana-Baleanu derivatives with fractional order. Chaos Solitons Fractals 89, 447–454. Atangana, A., Baleanu, D., 2016. New fractional derivatives with nonlocal and non-singular kernel. Theory Appl. Heat Transfer Model Thermal Sci. 20 (2), 763–769. Bekir, A., Guner, O., 2013. Exact solutions of nonlinear fractional differential equations by ðG0 =GÞ-expansion method. Chin. Phys. B 22 (11), 110202. Bekir, A., Guner, O., 2014. Exact solutions of distinct physical structures to the fractional potential Kadomtsev-Petviashvili equation. Computat. Methods Differ. Eq. 2 (1), 26–36.

0 0 qffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi 11  pffiffiffiffiffiffiffiffiffiffiffi  pffiffiffiffiffiffiffiffiffiffiffi d c2 2dlþc c2 4dl ta 6ldþc2  c2 4dl ta AA exp @@  2dLCð1þaÞ

4dLCð1þaÞ

0 qffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi 1  pffiffiffiffiffiffiffiffiffiffiffi  pffiffiffiffiffiffiffiffiffiffiffi pffiffiffiffiffiffiffiffiffiffiffi d c2 2dlþc c2 4dl ta c2 4dl 6ldþc2  c2 4dl ta A pffiffiffiffiffiffiffiffiffiffiffi exp @  2dLCð1þaÞ 4dLCð1þaÞ 2

db0 2da0 þcb0 þb0



b1 c2 2dlþc

c 4dl

ð3:38Þ

ffi 11 0 0 rffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi  pffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi  pffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi 2  2dl þ c 2  4dl ta 2 a 2 c d c 6ld þ c  c  4dl t CC B B B CC þ b0 þ b1 exp B  AA @@ 2dLCð1 þ aÞ 4dLCð1 þ aÞ

pffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi If we take a0 ¼ 1; b1 ¼ 1; b0 ¼ 2; c2  4dl ¼ 2d  c  pffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi pffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi and 2d 2d þ 2c þ 2 c2  4dl ¼ c2  2dl þ c c2  4dl Eq. (3.38) becomes

ffi 0 rffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi  pffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi 2  2dl þ c 2  4dl ta c d c B 1 1 u3;4 ðx; tÞ ¼ þ tanh B @ 2 2 4dLCð1 þ aÞ  

pffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi 1 c2  4dl ta A: 8dLCð1 þ aÞ

6ld þ c2 

ð3:39Þ

4. Conclusions In this paper, we have used the fractional complex transform with the Exp-function method in order to reduce nonlinear FDEs to NODEs for finding exact analytic solutions for the nonlinear space–time fractional Telegraph equation and the nonlinear fractional Kolmogorov–Petrovskii–Piskunov equation. As a result, some new exact solutions for them have been successfully found. These results are going to be very useful, very effective in different areas of applied mathematics, so this method can be applied to other nonlinear FDEs in the mathematical physics. We note that the exact solutions established

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Please cite this article in press as: Guner, O., Bekir, A. The Exp-function method for solving nonlinear space–time fractional differential equations in mathematical physics. Journal of the Association of Arab Universities for Basic and Applied Sciences (2017), http://dx.doi.org/10.1016/j.jaubas.2016.12.002