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ISSN 2581-3463
RESEARCH ARTICLE
Approximate Solution of Time-fractional Beam Equation by Reduced Differential
Transform Method
Beza Zeleke
Department of Mathematics, Mettu University, Mettu, Oromia, Ethiopia
Received: 30-11-2020; Revised: 16-12-2020; Accepted: 10-01-2021
ABSTRACT
In this paper, the reduced differential transform method (RDTM) will be applied to time-fractional order
beam and beam-like equations. The RDTM produces an analytical approximate solution for the equation.
An approximate analytical solution of the equation is calculated in the form of a series with few and easy
computations. Three test problems are carried out to validate and illustrate the efficiency of the method.
It is observed that the proposed technique is highly suitable for such problems.
Key words: Approximate analytical solutions, reduced differential transform method, time-fractional
order beam equation
Address for correspondence:
Beza Zeleke
E-mail: bezeleke48@gmail.com
INTRODUCTION
Partial differential equations have numerous
applications in various fields of science and
engineering (Debtnath, 1997). Fractional calculus
theory is a mathematical analysis tool to study the
differentiation and integration to non-integer order
(Oldham and Spanier, 1974). It is used in various
fields of science and engineering. The fractional
differential equations appear more and more
frequentlyindifferentresearchareasandengineering
applications(Podlubny,1999;MillerandRoss,1993).
It is not always possible to find analytical solutions
to these problems. In the literature, various analytical
and numeric approaches have been developed for
the solution partial differential equations. Since
most fractional differential equations do not have
exact analytic solutions, approximate and numerical
techniques are used extensively.
The DTM is one of the numerical methods in solving
differential equations. The concept of the DTM was
first introduced by Zhou, 1986, and applied to solve
initial value problems for electric circuit analysis.
The method is based on Taylor’s series expansion
and can be applied to solve both linear and non-linear
differentialequations.RDTMwasfirstintroducedby
Keskin et al., 2009; 2010a; 2010b; 2010c and 2011.
This method based on the use of the traditional DTM
techniques. Since RDTM has been used by many
authors to obtain approximate analytical solution
and in some cases exact solutions to differential
equations so the investigation of exact solutions of
non-linear partial differential equations (NPDEs)
plays an important role in the study of non-linear
physical phenomena. The investigation of exact
solutions of non-linear partial differential equations
(NPDEs) plays an important role in the study of non-
linear physical phenomena. Many methods, exact,
approximate, and purely numerical are available in
literature (Sohail et al.; 2012a; 2012b; Cenesiz et al.,
2010) for the solution of NPDEs. In this paper, we
applied the RDTM, which is the modified version of
DTM, to obtain the approximate analytical solution
fortime-fractionalorderbeamandbeam-likeequation
with appropriate initial condition. The RDTM does
not require any discretization or linearization and it
reduces significantly the computational work.[1-10]
Finally,therestofthepaperisorganizedasfollows:In
Section 2, we will introduce some basic definitions,
theorems, and preliminary concepts of fractional
calculus. The details of the RDTM formulation
for time-fractional beam equation are discussed in
Section 3. In Section 3.2, we apply the RDTM to
solve three test examples with their solutions to show
its ability and efficiency. To the end, conclusion and
discussion are given in Section 4.
Zeleke: Approximate Solution of Time-fractional Beam Equation.
AJMS/Jan-Mar-2021/Vol 5/Issue 1  28
FRACTIONAL CALCULUS THEORY
There are several definitions of a fractional
derivative of order α0, in the literature due to
Riemann-Liouville, Grunwald-Letnikov, Caputo,
etc., (Hilfer, 2000, Miller et al., 1993; Oldham,
1974; Podlubny, 1999). Here, we mention the
essential definition of the fractional order integral
and derivative in Riemann-Liouville and Caputo
sense, respectively, which are used in this work.
Definition 2.1
Let λ∈R and n∈N. A real-valued function f:R+
⟶R
belongs to Cλ
if there exists k∈R, kλ and
g∈C[0,∞) such that f(x)=xk
g(x), for all x∈R+
.
Moreover, f n
 if f(n)
∈Cλ
.
Definition 2.2
The Riemann-Liouville fractional integral of f∈Cλ
of order α≥0 is defined as
( )
( )
( )
1
0
0
1
( ) , 0
( )
t
t
f t if
f t
t f d if
α
α
α
τ τ τ α
α
−
 =

= 
− 
Γ

∫

Where, Γ denotes gamma function.
Definition 2.3
The fractional derivative of f∈Cλ
of the order α≥0,
in Caputo sense, is defined as
( ) ( )
( )
1 ( )
0
1
( )
( )
n
t t t
t
n n
D f t D f t
n
t f d
α α α
α
α
τ τ τ
−
− −
= =
Γ −
−
∫

For 1 , , 0, , 1.
n
n n n t f λ
α λ
−  ≤ ∈  ∈ ≥ −
  
Some properties of the operator 0
α
can be found
(He, 2000). For f∈Cλ
, λ≥−1, α, γ≥0, β≥−1:
0
0
f x f x
    
0
1
1
   

 
t t


 



( )
( )
  
0 0 0
   
f x f x
    

One can see below cited references for further
information on properties of fractional derivative
and integral.
Lemma 2.1
Let n−1α≤n, n∈N, and , 1
n
f λ λ
∈ ≥ −
 , then
D f t f t
t t
 
     
t t
k
n
k
k
D f t f t f
t
k
 
    

 

0
0
( )
!
for t0.
ANALYSIS OF RDTM
In this section, some basic definitions and
properties for RDTM are introduced as follows:
Definition 2.1
If u(x,t) is analytic and continuously differentiable
with respect to the space variable x and time
variable t in the domain of interest, then the
t-dimensional spectrum function
U x
k t
u x t
k
k
k
t t
  










1
1
0
( )
( , )



(2.1)
is the reduced transformed function of u(x,t),
where α is a parameter which describes the order
of time-fractional derivative. The inverse reduced
differential transform of Uk
(x) is given by
u x t U x t t
k
k
k
, ( )
     


 0
0

(2.2)
Then, combining Eqns. (2.1) and (2.2), we get:
u x t
k t
u x t t t
k
k
k
t t
k
,
( )
( , ) ( )
  








 




1
1
0 0
0
 



(2.3)
When t0
=0 Eqn. (2.3) reduces to
u x t
k t
u x t t
k
k
k
t
k
,
( )
( , )
  













0 0
1
1
 



Throughout the paper, we denote the original
function by u(x,t).(lowercase) while it’s
fractional reduced differential transform by
Zeleke: Approximate Solution of Time-fractional Beam Equation.
AJMS/Jan-Mar-2021/Vol 5/Issue 1  29
Uk
(x) (uppercase).. From definitions, some basic
properties of the Fractional reduced differential
transform method are as follows:
Implementation of RDTM on time fractional
beam equation
To explain how the RDTM works, we consider
the general form of time-fractional order
nonhomogeneous beam equation in the standard
operator form
Lu(x,t)+Ru(x,t)=f(x,t)
subject to the initial conditions
u(x,0)=g(x)
Here ( , ) : ( , )
t
Lu x t D u x t
α
= is the fractional time
derivative operator,
4
4
( , ) : ( , )
Ru x t u x t
x
∂
=
∂
is the
linear operator and f(x,t) is the nonhomogeneous
source term. According to the RDTM and Table 1,
wecanconstructingthefollowingiterationformulas
( ) ( )
1
(k 1)
, ( )
( 1)
k k k
U x t F x RU x
kα α
+
Γ α +
 
−
 
Γ + +
(3.1)
Where R(Uk
(x)) and Fk
(x) are transformation of
the functions Ru(x,t) and f(x,t), respectively, and
from the initial condition, we write
			U0
(x)=g(x)(3.2)
Substituting Eqn. (3.2) into Eqn. (3.1), we get the
values of Uk
(x) for all k=0,1,2,3,…. Then using the
differential inverse reduced transform of Uk
(x),
gives n term approximate solutions as
u x t U x t
k
n
k
k
*
,
    


0

where n is the order of approximate solution.
Therefore, the analytical approximate solutions
are given by
u x t u x t
n
n
, lim ,
*
    

Numerical applications
In this section, we used RDTM to construct
analytic approximate solutions for time-fractional
beam equations. For the accuracy and efficiency
of the method, some illustrative examples are
presented.
Example 1
Consider the time-fractional homogeneous beam
equation,
		D u u
t xxxx

  0(3.3)
Subject to initial condition
u(x,0)=sinx
Now applying the RDTM to Eqn. (3.3) and
using Table 1, we obtain the following recursive
relation,
( )
4
1 4
(k 1)
( )
( 1)
k k
U x U x
k x
α α
+
 
Γ α + ∂
=  
Γ + + ∂
 
(3.4)
And from the initial condition, we obtain
			U0
(x)=sinx
(3.5)
Substituting Eqn. (3.5) into (3.4) and by
straightforward iterative calculation, we get the
following Uk
(x) values successively
Table 1: Some of the fundamental operations of the
RDTM
Functional
form
Transformed form
u (x, t) U x
k t
u x t
k
k
k
t t
  












1
1
0
( )
( , )



u (x, t)±v (x, t) Uk
(x)±Vk
(x)
αu (x, t) αUk
(x)
xm
tn
x k n k
k
k
m
 
(
,
,
   





1 0
0 0
xm
tn
u (x, t) xm
Uk‑n
(x)
u (x, t) v (x, t)
r
k
r k r
U x V x



0
( ) ( )
∂
∂
n
n
t
u x t
( , ) (k+1)…(k+n) Uk+1
(x)
∂
∂x
u x t
( , )
∂
∂x
U x
k ( )
∂
∂
2
2
x
u x t
( , )
∂
∂
2
2
x
U x
k ( )
Zeleke: Approximate Solution of Time-fractional Beam Equation.
AJMS/Jan-Mar-2021/Vol 5/Issue 1  30
( )
1
1
sin( )
( 1)
U x x
α
=
Γ +
( )
2
1
sin( )
(2 1)
U x x
α
=
Γ +
( )
3
1
sin( )
(3 1)
U x x
α
=
Γ +
( )
( )
( )
4
1
sin
4 1
U x x
α
=
Γ +
� � �
Continuing with this procedure,
U x
k
x
k   

 
 
1
1
 
sin
Then, using the differential inverse transformation
(4.2), we have:
( ) ( )
( )
( )
( )
( ) 2
1
, sin sin
1
1
sin
2 1
u x t x x t
x t
α
α
α
α
= +
Γ +
+ +…
Γ +
which is desired solution.
Example 2
Consider the time fractional non-homogeneous
beam equation,
		D u u x
t xxxx

  3 2
(3.6)
with initial condition
u(x,0)=ex
Now, applying the RDTM to Eqn. (3.6)
and using Table 1, we obtain the following
recursive relation,
U x
k x
U x x
k k
   

 


 






1
4
4
2
1
1
3


( )
( )
k±
 
(3.8)
And from the initial condition, we obtain
			U0
(x)=ex
(3.9)
Substituting Eqn. (3.9) into (3.8), we get the
following Uk
(x) values successively
U x e x
x
1
2
1
1
3
  

 


 

 
U x e x
x
2
2
1
2 1
3
  



 

( )

U x e x
x
3
2
1
3 1
3
  



 

( )

U x e x
x
4
2
1
4 1
3
  

 


 

 
� � �
Continuing with this procedure,
U x
k
e x
k
x
  

 


 

1
1
3 2
 
Then, using the differential inverse transformation
(4.2), we have:
u x t e e x t
e x t
x x
x
,
   

 


 



 


 
 
1
1
3
1
2 1
3
2
2 2






which is desired result.
Example 3
Consider the time fractional non-homogeneous
beam-like equation,
		D u u u
t x xxxx

   0(3.10)
Subjected to initial condition
u(x,0)=ex
Now, applying the RDTM to Eqn. (3.10)
and using Table 1, we obtain the following
recursive relation,
Zeleke: Approximate Solution of Time-fractional Beam Equation.
AJMS/Jan-Mar-2021/Vol 5/Issue 1  31
U x
k x
U x
x
U x
k k k
   

 


 








1
4
4
1
1


( )
( )
( )
k±
 
(3.11)
And the transformed of initial condition is
		U0
(x)=ex
(3.12)
Substituting Eqn. (3.12) into (3.11), we get the
following Uk
(x) values successively
U x ex
1
1
1
2
  

 

 

 
U x ex
2
1
2 1
4
  

 

 

 
U x ex
3
1
3 1
8
  

 

 

 
U x ex
4
1
4 1
16
  

 

 

 
� � �
Continuing with this procedure,
U x
k
e
k
k x
  

 

 


1
1
2 1
 
Then, using the differential inverse transformation
(4.2), we have:
u x t e e t
e t
x x
x
,
   

 

 



 

 
 
1
1
2
1
2 1
4 2






which is an approximation solution.[11-15]
CONCLUSION
This paper is successfully implemented the
RDTM to solve the initial value problem of time-
fractional beam and beam-like equations. The
fractional derivative is taken into Caputo sense.
The proposed solutions are obtained in the form of
power series.The validity and efficiency of RDTM
have been confirmed by three test problems. The
method is applied in a direct way without any
linearization or discretization. Hence, this method
is a powerful and an efficient technique in finding
the exact solutions for wide classes of problems,
also the speed of the convergence is very fast.
CONFLICTS OF INTEREST
The authors confirm that there are no conflicts of
interest to declare for this publication.
ACKNOWLEDGMENTS
This research did not receive any specific grant
from funding agencies in the public, commercial,
or not-for-profit sectors. The authors would like
to thank the editor and anonymous reviewers for
their comments that help improve the quality of
this work.
REFERENCES
1. Cenesiz Y, Keskin Y, Kurnaz A. The solution of the
nonlinear dispersive equations by RDT method. Int J
Nonlinear Sci 2010;9:461-7.
2. Debtnath L. Nonlinear Partial Differential Equations
for Scientist and Engineers. Boston: Birkhauser; 1997.
3. He JH. Variational iteration method for autonomous
ordinary differential systems. Appl Math Comput
2000;114:115-23.
4. Hilfer R.Applications of Fractional Calculus in Physics.
Singapore: Word Scientific Company; 2000.
5. Keskin Y, Oturanc G. Reduced differential transform
method for partial differential equation. Int J Nonlinear
Sci Numer Simul 2009;10:741-9.
6. Keskin Y, Oturanc G. Numerical solution of regularized
long wave equation by reduced differential transform
method. Appl Math Sci 2010a;4:1221-31.
7. KeskinY, Oturanc G.Application of reduced differential
transformation method for solving gas dynamics
equation. Int J Contemp Math Sci 2010b;5:1091-6.
8. Keskin Y, Oturanc G. Reduced differential transform
method for generalized KDV equations. Math Comput
Appl 2010c;15:382-93.
9. Keskin Y, Oturanc G, Servi S. Reduced Differential
Transform Method for Solving Klein Gordon Equations.
London, UK: Proceeding of the World Congress on
Engineering; 2011.
10. Miller KS, Ross B. An Introduction to the Fractional
Calculus and Fractional Differential Equations. New
York: Wiley; 1993.
11. Oldham KB, Spanier J. The Fractional Calculus. New
York: Academic Press; 1974.
12. Podlubny I. Fractional Differential Equation. New
York: Academic Press; 1999.
13. Sohail M, Mohyud-Din ST. Reduced differential
Zeleke: Approximate Solution of Time-fractional Beam Equation.
AJMS/Jan-Mar-2021/Vol 5/Issue 1  32
transform method for time-fractional heat equations. Int
J Mod Theor Phys 2012a;1:13-22.
14. Sohail M, Mohyud-Din ST. Reduced differential
transform method for solving a system of fractional
PDEs. In J Mod Theor Phys 2012b;4:21-9.
15. Zhou JK. Differential Transformation and its
Applications for Electrical Circuits. Wuuhahn, China:
Huarjung University Press; 1986.

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02_AJMS_297_21.pdf

  • 1. www.ajms.com 27 ISSN 2581-3463 RESEARCH ARTICLE Approximate Solution of Time-fractional Beam Equation by Reduced Differential Transform Method Beza Zeleke Department of Mathematics, Mettu University, Mettu, Oromia, Ethiopia Received: 30-11-2020; Revised: 16-12-2020; Accepted: 10-01-2021 ABSTRACT In this paper, the reduced differential transform method (RDTM) will be applied to time-fractional order beam and beam-like equations. The RDTM produces an analytical approximate solution for the equation. An approximate analytical solution of the equation is calculated in the form of a series with few and easy computations. Three test problems are carried out to validate and illustrate the efficiency of the method. It is observed that the proposed technique is highly suitable for such problems. Key words: Approximate analytical solutions, reduced differential transform method, time-fractional order beam equation Address for correspondence: Beza Zeleke E-mail: bezeleke48@gmail.com INTRODUCTION Partial differential equations have numerous applications in various fields of science and engineering (Debtnath, 1997). Fractional calculus theory is a mathematical analysis tool to study the differentiation and integration to non-integer order (Oldham and Spanier, 1974). It is used in various fields of science and engineering. The fractional differential equations appear more and more frequentlyindifferentresearchareasandengineering applications(Podlubny,1999;MillerandRoss,1993). It is not always possible to find analytical solutions to these problems. In the literature, various analytical and numeric approaches have been developed for the solution partial differential equations. Since most fractional differential equations do not have exact analytic solutions, approximate and numerical techniques are used extensively. The DTM is one of the numerical methods in solving differential equations. The concept of the DTM was first introduced by Zhou, 1986, and applied to solve initial value problems for electric circuit analysis. The method is based on Taylor’s series expansion and can be applied to solve both linear and non-linear differentialequations.RDTMwasfirstintroducedby Keskin et al., 2009; 2010a; 2010b; 2010c and 2011. This method based on the use of the traditional DTM techniques. Since RDTM has been used by many authors to obtain approximate analytical solution and in some cases exact solutions to differential equations so the investigation of exact solutions of non-linear partial differential equations (NPDEs) plays an important role in the study of non-linear physical phenomena. The investigation of exact solutions of non-linear partial differential equations (NPDEs) plays an important role in the study of non- linear physical phenomena. Many methods, exact, approximate, and purely numerical are available in literature (Sohail et al.; 2012a; 2012b; Cenesiz et al., 2010) for the solution of NPDEs. In this paper, we applied the RDTM, which is the modified version of DTM, to obtain the approximate analytical solution fortime-fractionalorderbeamandbeam-likeequation with appropriate initial condition. The RDTM does not require any discretization or linearization and it reduces significantly the computational work.[1-10] Finally,therestofthepaperisorganizedasfollows:In Section 2, we will introduce some basic definitions, theorems, and preliminary concepts of fractional calculus. The details of the RDTM formulation for time-fractional beam equation are discussed in Section 3. In Section 3.2, we apply the RDTM to solve three test examples with their solutions to show its ability and efficiency. To the end, conclusion and discussion are given in Section 4.
  • 2. Zeleke: Approximate Solution of Time-fractional Beam Equation. AJMS/Jan-Mar-2021/Vol 5/Issue 1 28 FRACTIONAL CALCULUS THEORY There are several definitions of a fractional derivative of order α0, in the literature due to Riemann-Liouville, Grunwald-Letnikov, Caputo, etc., (Hilfer, 2000, Miller et al., 1993; Oldham, 1974; Podlubny, 1999). Here, we mention the essential definition of the fractional order integral and derivative in Riemann-Liouville and Caputo sense, respectively, which are used in this work. Definition 2.1 Let λ∈R and n∈N. A real-valued function f:R+ ⟶R belongs to Cλ if there exists k∈R, kλ and g∈C[0,∞) such that f(x)=xk g(x), for all x∈R+ . Moreover, f n  if f(n) ∈Cλ . Definition 2.2 The Riemann-Liouville fractional integral of f∈Cλ of order α≥0 is defined as ( ) ( ) ( ) 1 0 0 1 ( ) , 0 ( ) t t f t if f t t f d if α α α τ τ τ α α −  =  =  − Γ  ∫  Where, Γ denotes gamma function. Definition 2.3 The fractional derivative of f∈Cλ of the order α≥0, in Caputo sense, is defined as ( ) ( ) ( ) 1 ( ) 0 1 ( ) ( ) n t t t t n n D f t D f t n t f d α α α α α τ τ τ − − − = = Γ − − ∫  For 1 , , 0, , 1. n n n n t f λ α λ − ≤ ∈ ∈ ≥ −    Some properties of the operator 0 α can be found (He, 2000). For f∈Cλ , λ≥−1, α, γ≥0, β≥−1: 0 0 f x f x 0 1 1 t t ( ) ( )    0 0 0 f x f x One can see below cited references for further information on properties of fractional derivative and integral. Lemma 2.1 Let n−1α≤n, n∈N, and , 1 n f λ λ ∈ ≥ −  , then D f t f t t t  t t k n k k D f t f t f t k 0 0 ( ) ! for t0. ANALYSIS OF RDTM In this section, some basic definitions and properties for RDTM are introduced as follows: Definition 2.1 If u(x,t) is analytic and continuously differentiable with respect to the space variable x and time variable t in the domain of interest, then the t-dimensional spectrum function U x k t u x t k k k t t 1 1 0 ( ) ( , ) (2.1) is the reduced transformed function of u(x,t), where α is a parameter which describes the order of time-fractional derivative. The inverse reduced differential transform of Uk (x) is given by u x t U x t t k k k , ( ) 0 0 (2.2) Then, combining Eqns. (2.1) and (2.2), we get: u x t k t u x t t t k k k t t k , ( ) ( , ) ( ) 1 1 0 0 0 (2.3) When t0 =0 Eqn. (2.3) reduces to u x t k t u x t t k k k t k , ( ) ( , ) 0 0 1 1 Throughout the paper, we denote the original function by u(x,t).(lowercase) while it’s fractional reduced differential transform by
  • 3. Zeleke: Approximate Solution of Time-fractional Beam Equation. AJMS/Jan-Mar-2021/Vol 5/Issue 1 29 Uk (x) (uppercase).. From definitions, some basic properties of the Fractional reduced differential transform method are as follows: Implementation of RDTM on time fractional beam equation To explain how the RDTM works, we consider the general form of time-fractional order nonhomogeneous beam equation in the standard operator form Lu(x,t)+Ru(x,t)=f(x,t) subject to the initial conditions u(x,0)=g(x) Here ( , ) : ( , ) t Lu x t D u x t α = is the fractional time derivative operator, 4 4 ( , ) : ( , ) Ru x t u x t x ∂ = ∂ is the linear operator and f(x,t) is the nonhomogeneous source term. According to the RDTM and Table 1, wecanconstructingthefollowingiterationformulas ( ) ( ) 1 (k 1) , ( ) ( 1) k k k U x t F x RU x kα α + Γ α +   −   Γ + + (3.1) Where R(Uk (x)) and Fk (x) are transformation of the functions Ru(x,t) and f(x,t), respectively, and from the initial condition, we write U0 (x)=g(x)(3.2) Substituting Eqn. (3.2) into Eqn. (3.1), we get the values of Uk (x) for all k=0,1,2,3,…. Then using the differential inverse reduced transform of Uk (x), gives n term approximate solutions as u x t U x t k n k k * , 0 where n is the order of approximate solution. Therefore, the analytical approximate solutions are given by u x t u x t n n , lim , * Numerical applications In this section, we used RDTM to construct analytic approximate solutions for time-fractional beam equations. For the accuracy and efficiency of the method, some illustrative examples are presented. Example 1 Consider the time-fractional homogeneous beam equation, D u u t xxxx 0(3.3) Subject to initial condition u(x,0)=sinx Now applying the RDTM to Eqn. (3.3) and using Table 1, we obtain the following recursive relation, ( ) 4 1 4 (k 1) ( ) ( 1) k k U x U x k x α α +   Γ α + ∂ =   Γ + + ∂   (3.4) And from the initial condition, we obtain U0 (x)=sinx (3.5) Substituting Eqn. (3.5) into (3.4) and by straightforward iterative calculation, we get the following Uk (x) values successively Table 1: Some of the fundamental operations of the RDTM Functional form Transformed form u (x, t) U x k t u x t k k k t t 1 1 0 ( ) ( , ) u (x, t)±v (x, t) Uk (x)±Vk (x) αu (x, t) αUk (x) xm tn x k n k k k m ( , , 1 0 0 0 xm tn u (x, t) xm Uk‑n (x) u (x, t) v (x, t) r k r k r U x V x 0 ( ) ( ) ∂ ∂ n n t u x t ( , ) (k+1)…(k+n) Uk+1 (x) ∂ ∂x u x t ( , ) ∂ ∂x U x k ( ) ∂ ∂ 2 2 x u x t ( , ) ∂ ∂ 2 2 x U x k ( )
  • 4. Zeleke: Approximate Solution of Time-fractional Beam Equation. AJMS/Jan-Mar-2021/Vol 5/Issue 1 30 ( ) 1 1 sin( ) ( 1) U x x α = Γ + ( ) 2 1 sin( ) (2 1) U x x α = Γ + ( ) 3 1 sin( ) (3 1) U x x α = Γ + ( ) ( ) ( ) 4 1 sin 4 1 U x x α = Γ + � � � Continuing with this procedure, U x k x k 1 1 sin Then, using the differential inverse transformation (4.2), we have: ( ) ( ) ( ) ( ) ( ) ( ) 2 1 , sin sin 1 1 sin 2 1 u x t x x t x t α α α α = + Γ + + +… Γ + which is desired solution. Example 2 Consider the time fractional non-homogeneous beam equation, D u u x t xxxx 3 2 (3.6) with initial condition u(x,0)=ex Now, applying the RDTM to Eqn. (3.6) and using Table 1, we obtain the following recursive relation, U x k x U x x k k 1 4 4 2 1 1 3 ( ) ( ) k± (3.8) And from the initial condition, we obtain U0 (x)=ex (3.9) Substituting Eqn. (3.9) into (3.8), we get the following Uk (x) values successively U x e x x 1 2 1 1 3 U x e x x 2 2 1 2 1 3 ( ) U x e x x 3 2 1 3 1 3 ( ) U x e x x 4 2 1 4 1 3 � � � Continuing with this procedure, U x k e x k x 1 1 3 2 Then, using the differential inverse transformation (4.2), we have: u x t e e x t e x t x x x , 1 1 3 1 2 1 3 2 2 2 which is desired result. Example 3 Consider the time fractional non-homogeneous beam-like equation, D u u u t x xxxx 0(3.10) Subjected to initial condition u(x,0)=ex Now, applying the RDTM to Eqn. (3.10) and using Table 1, we obtain the following recursive relation,
  • 5. Zeleke: Approximate Solution of Time-fractional Beam Equation. AJMS/Jan-Mar-2021/Vol 5/Issue 1 31 U x k x U x x U x k k k 1 4 4 1 1 ( ) ( ) ( ) k± (3.11) And the transformed of initial condition is U0 (x)=ex (3.12) Substituting Eqn. (3.12) into (3.11), we get the following Uk (x) values successively U x ex 1 1 1 2 U x ex 2 1 2 1 4 U x ex 3 1 3 1 8 U x ex 4 1 4 1 16 � � � Continuing with this procedure, U x k e k k x 1 1 2 1 Then, using the differential inverse transformation (4.2), we have: u x t e e t e t x x x , 1 1 2 1 2 1 4 2 which is an approximation solution.[11-15] CONCLUSION This paper is successfully implemented the RDTM to solve the initial value problem of time- fractional beam and beam-like equations. The fractional derivative is taken into Caputo sense. The proposed solutions are obtained in the form of power series.The validity and efficiency of RDTM have been confirmed by three test problems. The method is applied in a direct way without any linearization or discretization. Hence, this method is a powerful and an efficient technique in finding the exact solutions for wide classes of problems, also the speed of the convergence is very fast. CONFLICTS OF INTEREST The authors confirm that there are no conflicts of interest to declare for this publication. ACKNOWLEDGMENTS This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. The authors would like to thank the editor and anonymous reviewers for their comments that help improve the quality of this work. REFERENCES 1. Cenesiz Y, Keskin Y, Kurnaz A. The solution of the nonlinear dispersive equations by RDT method. Int J Nonlinear Sci 2010;9:461-7. 2. Debtnath L. Nonlinear Partial Differential Equations for Scientist and Engineers. Boston: Birkhauser; 1997. 3. He JH. Variational iteration method for autonomous ordinary differential systems. Appl Math Comput 2000;114:115-23. 4. Hilfer R.Applications of Fractional Calculus in Physics. Singapore: Word Scientific Company; 2000. 5. Keskin Y, Oturanc G. Reduced differential transform method for partial differential equation. Int J Nonlinear Sci Numer Simul 2009;10:741-9. 6. Keskin Y, Oturanc G. Numerical solution of regularized long wave equation by reduced differential transform method. Appl Math Sci 2010a;4:1221-31. 7. KeskinY, Oturanc G.Application of reduced differential transformation method for solving gas dynamics equation. Int J Contemp Math Sci 2010b;5:1091-6. 8. Keskin Y, Oturanc G. Reduced differential transform method for generalized KDV equations. Math Comput Appl 2010c;15:382-93. 9. Keskin Y, Oturanc G, Servi S. Reduced Differential Transform Method for Solving Klein Gordon Equations. London, UK: Proceeding of the World Congress on Engineering; 2011. 10. Miller KS, Ross B. An Introduction to the Fractional Calculus and Fractional Differential Equations. New York: Wiley; 1993. 11. Oldham KB, Spanier J. The Fractional Calculus. New York: Academic Press; 1974. 12. Podlubny I. Fractional Differential Equation. New York: Academic Press; 1999. 13. Sohail M, Mohyud-Din ST. Reduced differential
  • 6. Zeleke: Approximate Solution of Time-fractional Beam Equation. AJMS/Jan-Mar-2021/Vol 5/Issue 1 32 transform method for time-fractional heat equations. Int J Mod Theor Phys 2012a;1:13-22. 14. Sohail M, Mohyud-Din ST. Reduced differential transform method for solving a system of fractional PDEs. In J Mod Theor Phys 2012b;4:21-9. 15. Zhou JK. Differential Transformation and its Applications for Electrical Circuits. Wuuhahn, China: Huarjung University Press; 1986.