Fractional Riccati Equation Rational Expansion Method … · 1576 Y. Zhang, Q. Feng: Fractional...

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Appl. Math. Inf. Sci. 7, No. 4, 1575-1584 (2013) 1575 Applied Mathematics & Information Sciences An International Journal http://dx.doi.org/10.12785/amis/070443 Fractional Riccati Equation Rational Expansion Method For Fractional Differential Equations Yongfeng Zhang and Qinghua Feng School of Science, Shandong University of Technology, Zibo, Shandong, 255049, China Received: 28 Nov. 2012, Revised: 6 Dec. 2012, Accepted: 6 Jan. 2013 Published online: 1 Jul. 2013 Abstract: In this paper, a new fractional Riccati equation rational expansion method is proposed to establish new exact solutions for fractional differential equations. For illustrating the validity of this method, we apply it to the nonlinear fractional Sharma-Tasso- Olever (STO) equation, the nonlinear time fractional biological population model and the nonlinear fractional foam drainage equation. Compared with the existing results in the literature, more exact solutions are obtained by the proposed method. We also illustrate the application of the established exact solutions. Keywords: fractional Riccati equation method, fractional differential equations, exact solutions, nonlinear fractional Sharma-Tasso- Olever (STO) equation, nonlinear time fractional biological population model, nonlinear fractional foam drainage equation 1 Introduction Fractional differential equations are generalizations of classical differential equations of integer order. In recent decades, fractional differential equations have gained much attention as they are widely used to describe various complex phenomena in many fields such as the fluid flow, signal processing, control theory, systems identification, biology and other areas. Many articles have investigated some aspects of fractional differential equations, such as the existence and uniqueness of solutions to Cauchy type problems, the methods for explicit and numerical solutions, and the stability of solutions [1, 2, 3, 4, 5, 6, 7, 8]. Among the investigations for fractional differential equations, research for seeking exact solutions and numerical solutions of fractional differential equations is an important topic, which can also provide valuable reference for other related research. Many powerful and efficient methods have been proposed to obtain numerical solutions and exact solutions of fractional differential equations so far. For example, these methods include the Adomian decomposition method [9, 10], the variational iterative method [11, 12, 13], the homotopy perturbation method [14, 15], the differential transformation method [16], the finite difference method [17], the finite element method [18] and so on. Based on these methods, a variety of fractional differential equations have been investigated and solved. Recently, Zhang et al. [19] first proposed a new direct algebraic method named fractional sub-equation method based on the homogeneous balance principle, modified Riemann-liouville derivative by Jumarie [20], and the fractional Riccati equation. The main idea of this method lies in that the solutions of certain fractional differential equations are supposed to have the form u(ξ )= n i=0 a i φ i , where φ = φ (ξ ) satisfies the fractional Riccati equation D α ξ φ = σ + φ 2 . With the aid of mathematical software, the authors established successfully new exact solutions for some fractional differential equations. Then in [21, 22], the authors improved this method to be suitable for more general cases, in which the solutions of certain fractional differential equations are supposed to have the forms u(ξ )= n i=n a i φ i , u(ξ )= a 0 + n i=1 a i ( σ B + Dφ D + Bφ ) i respectively, where φ = φ (ξ ) satisfies the fractional Riccati equation D α ξ φ = σ + φ 2 . Motivated by the works above, in this paper, by introducing a new ansatz with more general form, we propose a new fractional Riccati equation rational expansion method for solving fractional differential equations, in which the solutions u(ξ ) of certain fractional differential equations are supposed to have the Corresponding author e-mail: [email protected] c 2013 NSP Natural Sciences Publishing Cor.

Transcript of Fractional Riccati Equation Rational Expansion Method … · 1576 Y. Zhang, Q. Feng: Fractional...

Page 1: Fractional Riccati Equation Rational Expansion Method … · 1576 Y. Zhang, Q. Feng: Fractional Riccati Equation Rational... form u(ξ)=a0 + m ∑ i=1 φi−1(a iφ+bi q Dα ξ φ)

Appl. Math. Inf. Sci.7, No. 4, 1575-1584 (2013) 1575

Applied Mathematics & Information SciencesAn International Journal

http://dx.doi.org/10.12785/amis/070443

Fractional Riccati Equation Rational Expansion MethodFor Fractional Differential EquationsYongfeng Zhang and Qinghua Feng∗

School of Science, Shandong University of Technology, Zibo, Shandong, 255049, China

Received: 28 Nov. 2012, Revised: 6 Dec. 2012, Accepted: 6 Jan. 2013Published online: 1 Jul. 2013

Abstract: In this paper, a new fractional Riccati equation rational expansion method is proposed to establish new exact solutionsfor fractional differential equations. For illustrating the validity of this method, we apply it to the nonlinear fractional Sharma-Tasso-Olever (STO) equation, the nonlinear time fractional biological population model and the nonlinear fractional foam drainage equation.Compared with the existing results in the literature, more exact solutions are obtained by the proposed method. We also illustrate theapplication of the established exact solutions.

Keywords: fractional Riccati equation method, fractional differential equations, exact solutions, nonlinear fractional Sharma-Tasso-Olever (STO) equation, nonlinear time fractional biological population model, nonlinear fractional foam drainage equation

1 Introduction

Fractional differential equations are generalizations ofclassical differential equations of integer order. In recentdecades, fractional differential equations have gainedmuch attention as they are widely used to describevarious complex phenomena in many fields such as thefluid flow, signal processing, control theory, systemsidentification, biology and other areas. Many articles haveinvestigated some aspects of fractional differentialequations, such as the existence and uniqueness ofsolutions to Cauchy type problems, the methods forexplicit and numerical solutions, and the stability ofsolutions [1,2,3,4,5,6,7,8]. Among the investigations forfractional differential equations, research for seekingexact solutions and numerical solutions of fractionaldifferential equations is an important topic, which canalso provide valuable reference for other related research.Many powerful and efficient methods have been proposedto obtain numerical solutions and exact solutions offractional differential equations so far. For example, thesemethods include the Adomian decomposition method [9,10], the variational iterative method [11,12,13], thehomotopy perturbation method [14,15], the differentialtransformation method [16], the finite difference method[17], the finite element method [18] and so on. Based on

these methods, a variety of fractional differentialequations have been investigated and solved.

Recently, Zhang et al. [19] first proposed a new directalgebraic method named fractional sub-equation methodbased on the homogeneous balance principle, modifiedRiemann-liouville derivative by Jumarie [20], and thefractional Riccati equation. The main idea of this methodlies in that the solutions of certain fractional differential

equations are supposed to have the formu(ξ ) =n∑

i=0aiφ i,

whereφ = φ(ξ ) satisfies the fractional Riccati equationDα

ξ φ = σ + φ2. With the aid of mathematical software,the authors established successfully new exact solutionsfor some fractional differential equations. Then in [21,22], the authors improved this method to be suitable formore general cases, in which the solutions of certainfractional differential equations are supposed to have the

forms u(ξ ) =n∑

i=−naiφ i, u(ξ ) = a0 +

n∑

i=1ai(

−σB+DφD+Bφ )i

respectively, whereφ = φ(ξ ) satisfies the fractionalRiccati equationDα

ξ φ = σ +φ2.

Motivated by the works above, in this paper, byintroducing a new ansatz with more general form, wepropose a new fractional Riccati equation rationalexpansion method for solving fractional differentialequations, in which the solutionsu(ξ ) of certainfractional differential equations are supposed to have the

∗ Corresponding author e-mail:[email protected]

c© 2013 NSPNatural Sciences Publishing Cor.

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form

u(ξ ) = a0+m

∑i=1

φ i−1(aiφ +bi

√Dα

ξ φ)

(µ0+µ1φ +µ2

√Dα

ξ φ)i,

whereφ = φ(ξ ) satisfies the fractional Riccati equationDα

ξ φ = σ + φ2. We organize the rest of this paper asfollows. In Section 2, we give some definitions andproperties of Jumarie’s modified Riemann-liouvillederivative and the description of the fractional Riccatiequation rational expansion method. Then in Section 3 weapply the method to solve the nonlinear fractionalSharma-Tasso-Olever (STO) equation, the nonlinear timefractional biological population model, and the nonlinearfractional foam drainage equation. Some conclusions arepresented at the end of the paper.

2 Jumarie’s modified Riemann-liouvillederivative and description of the fractionalRiccati equation rational expansion method

The Jumarie’s modified Riemann-Liouville derivative oforderα is defined by the following expression [20]:

Dαt f (t) =

1Γ (1−α)

ddt

∫ t0(t −ξ )−α ( f (ξ )− f (0))dξ ,

0< α < 1,( f (n)(t))(α−n), n ≤ α < n+1, n ≥ 1.

We list some important properties for the modifiedRiemann-Liouville derivative as follows (see [20,(3.10)-(3.13)]:

Dαt tr =

Γ (1+ r)Γ (1+ r−α)

tr−α, (1)

Dαt ( f (t)g(t)) = g(t)Dα

t f (t)+ f (t)Dαt g(t), (2)

Dαt f [g(t)] = f ′g[g(t)]D

αt g(t) = Dα

g f [g(t)](g′(t))α. (3)

Suppose that a fractional partial differential equation,say in two or three independent variablesx,y, t, is given by

P(u,ut ,ux,uy,Dαt u,Dα

x u,Dαy u...) = 0, (4)

where u = u(x,y, t) is an unknown function,P is apolynomial in u = u(x,y, t) and its various partialderivatives, in which the highest order derivative andnonlinear term are involved.

Step 1. Suppose that

u(x,y, t) =U(ξ ), ξ = ξ (x,y, t), (5)

and then Eq. (4) can be turned into the following fractionalordinary differential equation with respect to the variableξ :

P̃(U, U ′,U ′′

,Dαξ U, ...) = 0. (6)

Step 2. Suppose that the solution of (6) can beexpressed inφ as follows:

U(ξ ) = a0+m

∑i=1

φ i−1(aiφ +bi

√Dα

ξ φ)

(µ0+µ1φ +µ2

√Dα

ξ φ)i, (7)

whereφ = φ(ξ ) satisfies the following fractional Riccatiequation:

Dαξ φ = σ +φ2

, (8)

and a0, ai, bi, ci, i = 1,2, ...,m, µ0, µ1, µ2 are allconstants to be determined later. The positive integermcan be determined by considering the homogeneousbalance between the highest order derivative andnonlinear term appearing in (6).

In [23], by using the generalized Exp-function method,Zhang et al. first obtained the following solutions of Eq.(8):

φ(ξ ) =

−√−σ tanhα(

√−σξ ), σ < 0,

−√−σ cothα(

√−σξ ), σ < 0,√

σ tanα(√

σξ ), σ > 0,−√

σ cotα(√

σξ ), σ > 0,

−Γ (1+α)ξ α +ω , ω is a constant, σ = 0,

(9)

where the generalized hyperbolic and trigonometricfunctions are defined as

sinα(ξ ) =Eα(iξ α)−Eα(−iξ α)

2i,

cosα(ξ ) =Eα(iξ α)+Eα(−iξ α)

2,

sinhα(ξ ) =Eα(ξ α)−Eα(−ξ α)

2,

coshα(ξ ) =Eα(ξ α)+Eα(−ξ α)

2,

tanα(ξ ) =sinα(ξ )cosα(ξ )

, cotα(ξ ) =cosα(ξ )sinα(ξ )

,

tanhα(ξ ) =sinhα(ξ )coshα(ξ )

, cothα(ξ ) =coshα(ξ )sinhα(ξ )

,

where Eα(ξ ) =∞∑

k=0

ξ k

Γ (1+ kα), α > 0 is the

Mittag-Leffler function.Step 3. Substituting (7) into (6) and using (8), the

left-hand side of (6) is converted to another polynomial inφ j(

√σ +φ2)i after eliminating the denominator.

Equating each coefficient of this polynomial to zero,

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Appl. Math. Inf. Sci.7, No. 4, 1575-1584 (2013) /www.naturalspublishing.com/Journals.asp 1577

yields a set of algebraic equations fora0, ai, bi, ci, i = 1,2, ...,m, µ0, µ1, µ2.

Step 4. Solving the equations system in Step 3, and byusing the solutions of Eq. (8), we can construct a varietyof exact solutions of Eq. (4).

3 Applications

In this section, we will apply the described method inSection 2 to some fractional differential equations.

3.1 nonlinear fractional Sharma-Tasso-Olever(STO) equation

We consider the nonlinear fractional Sharma-Tasso-Olever(STO) equation with space- and time-fractional derivativesof the form

Dαt u+3a(Dα

x u)2+3au2Dαx u+3auD2α

x u+aD3αx u = 0,

0< α ≤ 1, (10)

which is the variation of the following nonlinear fractionalSharma-Tasso-Olever (STO) equation [24,25] with time-fractional derivative of the form

Dαt u+3au2

x +3au2ux +3auuxx +auxxx = 0.

To begin with, we supposeu(x, t) =U(ξ ), whereξ = kx+ct +ξ0. Then by use of Eq. (3), Eq. (10) can be turned into

cα Dαξ U +3ak2α(Dα

ξ U)2+3aU2kα Dαξ U

+3ak2αUD2αξ U +ak3α D3α

ξ U = 0. (11)

Suppose that the solution of Eq. (11) can be expressedby a polynomial inφ as follows:

U(ξ ) = a0+m

∑i=1

φ i−1(aiφ +bi

√Dα

ξ φ)

(µ0+µ1φ +µ2

√Dα

ξ φ)i, (12)

whereφ = φ(ξ ) satisfies Eq. (8).Balancing the order between the highest order

derivative term and nonlinear term in Eq. (11), we canobtainm = 1. So we have

U(ξ ) = a0+a1φ +b1

√Dα

ξ φ

µ0+µ1φ +µ2

√Dα

ξ φ, (13)

Substituting (13) into (11) and collecting all the termswith the same power ofφ j(

√σ +φ2)i together, equating

each coefficient to zero, yields a set of algebraic equations.Solving these equations, yields:

Case 1:

a0 = 0, a1 =−µ0kα, b1 = 0, σ =

cα k−3α

a,

µ1 = 0, µ2 = 0, µ0 = µ0,

whereµ0 is an arbitrary constant.Case 2:

a0 = 0, a1 =−2µ0kα, b1 = 0, σ =

4cα k−3α

a,

µ1 = 0, µ2 = 0, µ0 = µ0,

whereµ0 is an arbitrary constant.Case 3:

a0 = 0, a1 =−µ0kα, b1 = 0, σ =

4cα k−3α

a,

µ1 = 0, µ2 = 0, µ0 = µ0,

whereµ0 is an arbitrary constant.Case 4:

a0 = 0, a1 =−2µ0kα, b1 = 0, σ =

cα k−3α

a,

µ1 = 0, µ2 = 0, µ0 = µ0,

whereµ0 is an arbitrary constant.Case 5:

a0 = 0, a1 =−µ0kα, b1 =±µ0

2kα

, σ =cα k−3α

a,

µ1 = 0, µ2 = 0, µ0 = µ0,

whereµ0 is an arbitrary constant.Case 6:

a0 = 0, a1 =−µ0kα, b1 =±µ0kα

, σ =cα k−3α

a,

µ1 = 0, µ2 = 0, µ0 = µ0,

whereµ0 is an arbitrary constant.Case 7:

a0 = 0, a1 =−µ0

2kα

, b1 =±µ0

2kα

, σ =cα k−3α

a,

µ1 = 0, µ2 = 0, µ0 = µ0,

whereµ0 is an arbitrary constant.Case 8:

a0 = 0, a1 =−µ0

2kα

, b1 =±µ0kα, σ =

cα k−3α

a,

µ1 = 0, µ2 = 0, µ0 = µ0,

whereµ0 is an arbitrary constant.

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Case 9:

a0 = 0, a1 =−µ0kα, b1 =±µ0

2kα

, σ =4cα k−3α

a,

µ1 = 0, µ2 = 0, µ0 = µ0,

whereµ0 is an arbitrary constant.Case 10:

a0 = 0, a1 =−µ0kα, b1 =±µ0kα

, σ =4cα k−3α

a,

µ1 = 0, µ2 = 0, µ0 = µ0,

whereµ0 is an arbitrary constant.Case 11:

a0 = 0, a1 =−µ0

2kα

, b1 =±µ0

2kα

, σ =4cα k−3α

a,

µ1 = 0, µ2 = 0, µ0 = µ0,

whereµ0 is an arbitrary constant.Case 12:

a0 = 0, a1 =−µ0

2kα

, b1 =±µ0kα, σ =

4cα k−3α

a,

µ1 = 0, µ2 = 0, µ0 = µ0,

whereµ0 is an arbitrary constant.Substituting the results above into Eq. (13), and

combining with the solutions of Eq. (8) as denoted in (9)we can obtain a rich variety of exact solutions to thenonlinear fractional Sharma-Tasso-Olever (STO) equationwith space- and time-fractional derivatives.

From Cases 1-4 we have the following generalizedexact solutions for Eq. (10)

u1,1(x, t) = m√

− cα k−αa tanhα [n

√− cα k−3α

a (kx+ ct +ξ0)],

cα k−αa < 0,

u1,2(x, t) = m√

− cα k−αa cothα [n

√− cα k−3α

a (kx+ ct +ξ0)],

cα k−αa < 0,

u1,3(x, t) =−m√

cα k−αa tanα [n

√cα k−3α

a (kx+ ct +ξ0)],

cα k−αa > 0,

u1,4(x, t) = m√

cα k−αa cotα [n

√cα k−3α

a (kx+ ct +ξ0)],

cα k−αa > 0,

(14)wherem = 1, n = 1 or m = 4, n = 2 or m = 2, n = 2 orm = 2, n = 1.

From Cases 5-12 we have the following generalizedexact solutions for Eq. (10)

u2,1(x, t) = m√

− cα k−αa tanhα [p

√− cα k−3α

a (kx+ ct +ξ0)]

±n

√cα k−α

a {1− tanh2α [p√− cα k−3α

a (kx+ ct +ξ0)]},cα k−α

a < 0,

u2,2(x, t) = m√

− cα k−αa cothα [p

√− cα k−3α

a (kx+ ct +ξ0)]

±n

√cα k−α

a {1−coth2α [p

√− cα k−3α

a (kx+ ct +ξ0)]},cα k−α

a < 0,

u2,3(x, t) =−m√

cα k−αa tanα [p

√cα k−3α

a (kx+ ct +ξ0)]

±n

√cα k−α

a {1+ tan2α [p

√− cα k−3α

a (kx+ ct +ξ0)]},cα k−α

a > 0,

u2,4(x, t) = m√

cα k−αa cotα [p

√cα k−3α

a (kx+ ct +ξ0)]

±n

√cα k−α

a {1+cot2α [p√− cα k−3α

a (kx+ ct +ξ0)]},cα k−α

a > 0,(15)

wherem = 1, n = 12 or m = 1, n = 1 or m = 1

2, n = 12 or

m = 12, n = 1, andp is determined byp = 1 or p = 2.

3.2 nonlinear time fractional biologicalpopulation model

We consider the nonlinear time fractional biologicalpopulation model [19,22]:

Dαt u = (u2)xx +(u2)yy +h(u2− r), 0< α ≤ 1, (16)

whereh, r are constants.Similar as in [19,22], we supposeu(x,y, t) = U(ξ ),

whereξ = kx + iky + ct + ξ0, k, c, ξ0 are all constantswith k, c 6= 0, and i is the unit of imaginary numbers.Then by use of Eq. (3), Eq. (16) can be turned into

cα Dαξ U = h(U2− r). (17)

Suppose that the solution of Eq. (17) can be expressed bya polynomial inφ as follows:

U(ξ ) = a0+m

∑i=1

φ i−1(aiφ +bi

√Dα

ξ φ)

(µ0+µ1φ +µ2

√Dα

ξ φ)i, (18)

whereφ = φ(ξ ) satisfies Eq. (8).Balancing the order between the highest order

derivative term and nonlinear term in Eq. (17), we canobtainm = 1. So we have

U(ξ ) = a0+a1φ +b1

√Dα

ξ φ

µ0+µ1φ +µ2

√Dα

ξ φ, (19)

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Substituting (19) into (17) and collecting all the termswith the same power ofφ j(

√σ +φ2)i together, equating

each coefficient to zero, yields a set of algebraic equations.Solving these equations, yields

Case 1:

a0 =2hrµ1c−α

µ0, a1 =−4h2rµ2

1c−α −µ20cα

2hµ0,

b1= 0, µ2=± µ0cα

h√−4r

, σ =−4h2rc−2α, µ0= µ0, µ1= µ1,

whereµ0, µ1 are arbitrary constants.Case 2:

a0 =2hrµ1c−α

µ0, a1 =−4h2rµ2

1c−α −µ20cα

2hµ0,

b1 =−4h2rµ1µ2c−α ±

√4h2rµ2

0(µ22 −µ2

1)+µ40c2α

2hµ0,

µ2 = µ2, σ =−4h2rc−2α, µ0 = µ0, µ1 = µ1,

whereµ0, µ1, µ2 are arbitrary constants.Case 3:

a0 =hrµ1c−α

µ0, a1 =−h2rµ2

1c−α −µ20cα

hµ0,

b1 = 0, µ2 = 0, σ =−h2rc−2α, µ0 = µ0, µ1 = µ1,

whereµ0, µ1 are arbitrary constants.Substituting the results in the three cases above into

Eq. (19), and combining with (9) we can obtain thefollowing exact solutions to Eq. (16).

Family 1:

u1,1(x,y, t) =2hrµ1c−α

µ0+

(4h2rµ21c−2α −µ2

0)√

r tanhα (2hc−α√rξ )p1,1

, r > 0,

u12(x,y, t) =2hrµ1c−α

µ0

+(4h2rµ2

1c−2α −µ20)√

r cothα (2hc−α√rξ )p1,2

, r > 0,

u13(x,y, t) =2hrµ1c−α

µ0+

−(4h2rµ21c−2α −µ2

0)√−r tanα (2hc−α√rξ )

p1,3, r < 0,

u1,4(x,y, t) =2hrµ1c−α

µ0

+(4h2rµ2

1c−2α −µ20)√−r cotα (2hc−α√rξ )

p1,4, r < 0,

(20)where ξ0, k, c, µ0, µ1 are all arbitrary constants withk, c, µ0 6= 0, ξ = kx+ iky+ ct +ξ0, and

p1,1 = µ20 −2µ0µ1hc−α√r tanhα(2hc−α√rξ )

±µ20

√1− tanh2

α(2hc−α√rξ )

p1,2 = µ20 −2µ0µ1hc−α√r cothα(2hc−α√rξ )

±µ20

√1−coth2

α(2hc−α√rξ )

p1,3 = µ20 +2µ0µ1hc−α√−r tanα(2hc−α√rξ )

±µ20

√1+ tan2

α(2hc−α√−rξ )

p1,4 = µ20 −2µ0µ1hc−α√−r cotα(2hc−α√rξ )

±µ20

√1+cot2α(2hc−α

√−rξ )

Family 2:

u2,1(x,y, t) =2hrµ1c−α

µ0

+(4h2rµ2

1c−2α −µ20)√

r tanhα (2hc−α√rξ )p2,1

+ϕ2,1q2,1

, r > 0,

u2,2(x,y, t) =2hrµ1c−α

µ0

+(4h2rµ2

1c−2α −µ20)√

r cothα (2hc−α√rξ )p2,2

+ϕ2,2q2,2

, r > 0,

u2,3(x,y, t) =2hrµ1c−α

µ0

+−(4h2rµ2

1c−2α −µ20)√−r tanα (2hc−α√−rξ )

p2,3+

ϕ2,3q2,3

, r < 0,

u2,4(x,y, t) =2hrµ1c−α

µ0

+(4h2rµ2

1c−2α −µ20)√−r cotα (2hc−α√−rξ )

p2,4+

ϕ2,4q2,4

, r < 0,

u2,5(x,y, t) =−µ0cαΓ (1+α)

h{µ0(ξ α +ω)−µΓ (1+α)} , r = 0,

(21)where ξ0, ω, µ0, k, c, µ = µ1 ± µ2 are all arbitraryconstants withk, c, µ0 6= 0, ξ = kx+ iky+ ct +ξ0, and

p2,1 = µ20 −2µ0µ1hc−α√r tanhα(2hc−α√rξ )

+2iµ0µ2hc−α√r√

1− tanh2α(2hc−α√rξ ),

p2,2 = µ20 −2µ0µ1hc−α√r cothα(2hc−α√rξ )

+2iµ0µ2hc−α√r√

1−coth2α(2hc−α√rξ ),

p2,3 = µ20 +2µ0µ1hc−α√−r tanα(2hc−α√−rξ )

+2µ0µ2hc−α√−r√

1+ tan2α(2hc−α√rξ ),

p2,4 = µ20 −2µ0µ1hc−α√−r cotα(2hc−α√−rξ )

+2µ0µ2hc−α√−r√

1+cot2α(2hc−α√rξ ),

q2,1 = µ20 −2µ0µ1hc−α√r tanhα(2hc−α√rξ )

+2iµ0µ2hc−α√r√

1− tanh2α(2hc−α√rξ ),

q2,2 = µ20 −2µ0µ1hc−α√r cothα(2hc−α√rξ )

+2iµ0µ2hc−α√r√

1−coth2α(2hc−α√rξ ),

q2,3 = µ20 +2µ0µ1hc−α√−r tanα(2hc−α√−rξ )

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1580 Y. Zhang, Q. Feng: Fractional Riccati Equation Rational...

+2µ0µ2hc−α√−r√

1+cot2α(2hc−α√−rξ ),

q2,4 = µ20 −2µ0µ1hc−α√−r cotα(2hc−α√−rξ )

+2µ0µ2hc−α√−r√

1+cot2α(2hc−α√−rξ )

ϕ2,1 = ic−α√r(−4h2rµ1µ2c−α ±√

4h2rµ20(µ

22 −µ2

1)+µ40c2α )

√1− tanh2

α(2hc−α√rξ ),

ϕ2,2 = ic−α√r(−4h2rµ1µ2c−α ±√

4h2rµ20(µ

22 −µ2

1)+µ40c2α )

√1−coth2

α(2hc−α√rξ ),

ϕ2,3= c−α√−r(−4h2rµ1µ2c−α ±√

4h2rµ20(µ

22 −µ2

1)+µ40c2α )

√1+ tan2

α(2hc−α√−rξ ),

ϕ2,4= c−α√−r(−4h2rµ1µ2c−α ±√

4h2rµ20(µ

22 −µ2

1)+µ40c2α )

√1+cot2α(2hc−α

√−rξ ).

Family 3:

u3,1(x,y, t) =hrµ1c−α

µ0

+(h2rµ2

1c−2α −µ20)√

r tanhα (hc−α√rξ )µ2

0 −µ0µ1hc−α√r tanhα (hc−α√rξ ), r > 0,

u3,2(x,y, t) =hrµ1c−α

µ0

+(h2rµ2

1c−2α −µ20)√

r cothα (hc−α√rξ )µ2

0 −µ0µ1hc−α√r cothα (hc−α√rξ ), r > 0,

u3,3(x,y, t) =hrµ1c−α

µ0

− (h2rµ21c−2α −µ2

0)√−r tanα (hc−α√−rξ )

µ20 +µ0µ1hc−α√−r tanα (hc−α√−rξ )

, r < 0,

u3,4(x,y, t) =hrµ1c−α

µ0

+(h2rµ2

1c−2α −µ20)√−r cotα (hc−α√−rξ )

µ20 −µ0µ1hc−α√−r cotα (hc−α√−rξ )

, r < 0,

u3,5(x,y, t) =−µ0cαΓ (1+α)

h{µ0(ξ α +ω)−µ1Γ (1+α)} , r = 0,

(22)where ξ0, k, c, µ0, µ1 are all arbitrary constants withk, c, µ0 6= 0, andξ = kx+ iky+ ct +ξ0.

Remark 1. If we setµ0 = D, µ1 = B, k = 1, c = λ , thenthe solutions in (22) reduce to the solutions established in[22, Eqs. (36)-(40)]. If we setµ1 = 0, then the solutionsin (22) reduce to the solutions established in [19, Eqs.(16)-(20)].

3.3 nonlinear fractional foam drainageequation

We consider the nonlinear foam drainage equation withtime and space-fractional derivatives [22,26,27]:

Dαt u =

u2

Dαx Dα

x u−2u2Dαx u+(Dα

x u)2, 0< α ≤ 1. (23)

The foam drainage equation is a model of the flow ofliquid through channels and nodes (intersection of fourchannels) between the bubbles, driven by gravity andcapillarity [28].

First we supposeu(x,y, t) =U(ξ ), whereξ = kx+ct+ξ0. Then by use of Eq. (3), Eq. (23) can be turned into

cα Dαξ U =

U2

k2α Dαξ Dα

ξ U −2U2kα Dαξ U + k2α(Dα

ξ U)2.

(24)Suppose that the solution of Eq. (24) can be expressed

by a polynomial inφ as follows:

U(ξ ) = a0+m

∑i=1

φ i−1(aiφ +bi

√Dα

ξ φ)

(µ0+µ1φ +µ2

√Dα

ξ φ)i, (25)

whereφ = φ(ξ ) satisfies Eq. (8).Balancing the order between the highest order

derivative term and nonlinear term in Eq. (24), we canobtainm = 1. So we have

U(ξ ) = a0+a1φ +b1

√Dα

ξ φ

µ0+µ1φ +µ2

√Dα

ξ φ, (26)

Substituting (26) into (24) and collecting all the termswith the same power ofφ j(

√σ +φ2)i together, equating

each coefficient to zero, yields a set of algebraic equations.Solving these equations, yields

Case 1:

a0 =−2µ1cα k−2α

µ0, a1 =

4k−2α µ21cα +µ2

0kα

2µ0, b1 = 0

µ2 =±µ0

2k

32α c−

α2 , σ = 4cα k−3α

, µ0 = µ0, µ1 = µ1,

whereµ0, µ1 are arbitrary constants.Case 2:

a0 = 0, a1 =µ0kα

2,

b1 =±µ0kα

2, µ2 = 0, σ = 4cα k−3α

, µ0 = µ0, µ1 = 0,

whereµ0 is an arbitrary constant.Case 3:

a0 =−µ1cα k−2α

µ0, a1 =

k−2α µ21cα +µ2

0kα

µ0,

b1 = 0, µ2 = 0, σ = cα k−3α, µ0 = µ0, µ1 = µ1,

whereµ0, µ1 are arbitrary constants.Substituting the results in the three cases above into

Eq. (26), and combining with (9) we can obtain thefollowing exact solutions to Eq. (23).

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Appl. Math. Inf. Sci.7, No. 4, 1575-1584 (2013) /www.naturalspublishing.com/Journals.asp 1581

Family 1:

u1,1(x, t) =2µ1cα k−2α

µ0

− (4k−3α µ21cα +µ2

0)√−cα k−α tanhα (2

√−cα k−3α ξ )

l1,1,

cα k−α < 0,

u1,2(x, t) =2µ1cα k−2α

µ0

− (4k−3α µ21cα +µ2

0)√−cα k−α cothα (2

√−cα k−3α ξ )

l1,2,

cα k−α < 0,

u1,3(x, t) =2µ1cα k−2α

µ0

+(4k−3α µ2

1cα +µ20)√

cα k−α tanα (2√

cα k−3α ξ )l1,3

,

cα kα > 0,

u1,4(x, t) =2µ1cα k−2α

µ0

− (4k−3α µ21cα +µ2

0)√

cα k−α cotα (2√

cα k−3α ξ )l1,4

,

cα kα > 0,(27)

where ξ0, k, c, µ0, µ1 are all arbitrary constants withk, c, µ0 6= 0, ξ = kx+ ct +ξ0, and

l1,1 = µ20 −2µ0µ1

√−cα k−3α tanhα(2

√−cα k−3α ξ )

±µ20cα k−3α

√1− tanh2

α(2√

−cα k−3α ξ ),

l1,2 = µ20 −2µ0µ1

√−cα k−3α cothα(2

√−cα k−3α ξ )

±µ20cα k−3α

√1−coth2

α(2√

−cα k−3α ξ ),

l1,3 = µ20 +2µ0µ1

√cα k−3α tanα(2

√cα k−3α ξ )

±µ20cα k−3α

√1+ tan2

α(2√

cα k−3α ξ ),

l1,4 = µ20 −2µ0µ1

√cα k−3α cotα(2

√cα k−3α ξ )

±µ20cα k−3α

√1+cot2α(2

√cα k−3α ξ ),

Family 2:

u2,1(x, t) =−√−cα k−α tanhα (2

√−cα k−3α ξ )

±i√−cα k−α{1− tanh2α (2

√−cα k−3α ξ )}, cα k−α < 0,

u2,2(x, t) =−√−cα k−α cothα (2

√−cα k−3α ξ )

±i√−cα k−α{1−coth2

α (2√−cα k−3α ξ )}, cα k−α < 0,

u2,3(x, t) =√

cα k−α tanα (2√

cα k−3α ξ )

±i√

cα k−α{1+ tan2α (2

√cα k−3α ξ )}, cα k−α > 0,

u2,4(x, t) =−√

cα k−α cotα (2√

cα k−3α ξ )

±i√

cα k−α{1+cot2α (2√

cα k−3α ξ )}, cα k−α > 0,(28)

where ξ0, k, c, µ0 are all arbitrary constants withk, c, µ0 6= 0, andξ = kx+ ct +ξ0.

Family 3:

u3,1(x, t) =−µ1cα k−2α

µ0

− (k−3α µ21cα +µ2

0)√−cα k−α tanhα (

√−cα k−3α ξ )

µ20 −µ0µ1

√−cα k−3α tanhα (

√−cα k−3α ξ )

,

cα k−α < 0,

u3,2(x, t) =−µ1cα k−2α

µ0

− (k−3α µ21cα +µ2

0)√−cα k−α cothα (

√−cα k−3α ξ )

µ20 −µ0µ1

√−cα k−3α cothα (

√−cα k−3α ξ )

,

cα k−α < 0,

u3,3(x, t) =−µ1cα k−2α

µ0

+(k−3α µ2

1cα +µ20)√

cα k−α tanα (√

cα k−3α ξ )µ2

0 +µ0µ1

√cα k−3α tanα (

√cα k−3α ξ )

,

cα k−α > 0,

u3,4(x, t) =−µ1cα k−2α

µ0

− (k−3α µ21cα +µ2

0)√

cα k−α cotα (√

cα k−3α ξ )µ2

0 −µ0µ1

√cα k−3α cotα (

√cα k−3α ξ )

,

cα k−α > 0,(29)

where ξ0, k, c, µ0, µ1 are all arbitrary constants withk, c, µ0 6= 0, andξ = kx+ ct +ξ0.

Remark 2. If we setµ0 = D, µ1 = B, k = 1, c = λ , thenthe solutionsu33(x, t), u34(x, t) reduce to the solutionsestablished in [22, Eq. (31)].

4 Illustration of the presented results

In this section, we will illustrate the application of theresults established above.

The nonlinear fractional Sharma-Tasso-Olever (STO)equation (10) is a KdV-like equation, and play animportant role in describing the nonlinear wave pheno-mena. Exact solutions for it with different forms candescribe different nonlinear waves. For the establishedexact solutionsu11(x, t), u12(x, t), u21(x, t), u22(x, t) withhyperbolic functions forms in (14)-(15), solitary wavephenomenon can be demonstrated by them, while for theestablished exact solutionsu13(x, t), u14(x, t), u23(x, t),u24(x, t) with periodic functions forms in (14)-(15),periodic wave phenomenon can be demonstrated. For thebetter understanding the solitary wave phenomenon andperiodic wave phenomenon, we takeu11(x, t), u13(x, t)for example, and show them in Figs. 1-4 with some givenparameters, in which the value of the variablec representswave velocity.

From Figs. 1-2 one can see, with the increasing of theorder α of the fractional derivative, the time and spacecoordinates at which the solitary wave appears getsmaller, which implies the existing period of the solitarywave gets shorter. From Figs. 3-4 one can see, with the

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1582 Y. Zhang, Q. Feng: Fractional Riccati Equation Rational...

increasing of the orderα of the fractional derivative, itgets more frequent that the periodic wave reaches its localclimax.

In the nonlinear time fractional biological populationmodel (16), the functionu denotes the population densityand h(u2 − r) represents the population supply due tobirths and deaths. The reason of using fractionaldifferential equations to modeling biological populationisthat fractional differential equations are naturally relatedto systems with memory which exists in most biologicalsystems. Also they are closely related to fractals whichare abundant in biological systems. The resulting

solutions spread faster than the classical solutions andmay exhibit asymmetry. For the sake of illustrating thevariation trend of the population density, we take thesolution u33(x,y, t) in (22) for example, and show it inFig. 5.

The nonlinear fractional foam drainage equation (23)and the established solutions (27)-(29) for it play afundamental role in describing the foam drainage process,where the variablesx andt represent scaled position andtime coordinates respectively. Foaming occurs in manydistillation and absorption processes. Recent research infoams has centered on three topics which are often treated

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Appl. Math. Inf. Sci.7, No. 4, 1575-1584 (2013) /www.naturalspublishing.com/Journals.asp 1583

separately, but are in fact interdependent: drainage,coarsening, and rheology. Drainage plays an importantrole in foam stability: indeed, when a foam dries, itsstructure becomes more fragile; the liquid films betweenadjacent bubbles being thinner, then can break, leading tofoam collapse. The drainage of liquid foams involves theinterplay of gravity, surface tension, and viscous forces.Forced foam drainage may well be the best prototype forcertain general phenomena described by nonlineardifferential equations, particularly the type of solitarywave which is most familiar in tidal bores. For betterunderstanding the function of the solutions (27)-(29) in

describing the foam drainage process, we take the solitarywave solutionu34(x, t) in (29) for example, and show it inFig. 6, in which the value of the variablec representswave velocity.

5 Conclusions

We have proposed a new fractional Riccati equationrational expansion method for solving fractionaldifferential equations, and applied it to find exactsolutions of the nonlinear fractional Sharma-Tasso-Olever(STO) equation, the nonlinear time fractional biologicalpopulation model and the nonlinear fractional foamdrainage equation. As a result, some generalized and newexact solutions for them have been successfully found.Being concise and powerful, this method can also beapplied to solve other fractional differential equations aslong as the homogeneous balance principle is satisfied.

Acknowledgement

The authors are grateful to the anonymous referee for acareful checking of the details and for helpful commentsthat improved this paper.

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Yongfeng Zhangis a researcher in the domainof differential equations andapplications. She obtainedher M.D. from NortheastNormal University (China)in 2006, and now is associateprofessor in ShandongUniversity of Technology.She majors in exact solutions,

qualitative analysis and numerical method of differentialequations.

Qinghua Feng isa researcher in the domainof differential equationsand applications. Heobtained his M.D. fromShandong University(China),and is now a PhD candidate.He has published more than30 research articles in reputedinternational journals of

mathematical and engineering sciences.

c© 2013 NSPNatural Sciences Publishing Cor.