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Research Article New Approaches for Solving Fokker Planck Equation on Cantor Sets within Local Fractional Operators Hassan Kamil Jassim 1,2 1 Department of Mathematics, Faculty of Mathematical Sciences, University of Mazandaran, Babolsar, Iran 2 Department of Mathematics, Faculty of Education for Pure Sciences, University of i-Qar, Nasiriyah, Iraq Correspondence should be addressed to Hassan Kamil Jassim; [email protected] Received 29 July 2015; Revised 30 September 2015; Accepted 12 October 2015 Academic Editor: Peter R. Massopust Copyright © 2015 Hassan Kamil Jassim. is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. We discuss new approaches to handling Fokker Planck equation on Cantor sets within local fractional operators by using the local fractional Laplace decomposition and Laplace variational iteration methods based on the local fractional calculus. e new approaches maintain the efficiency and accuracy of the analytical methods for solving local fractional differential equations. Illustrative examples are given to show the accuracy and reliable results. 1. Introduction e Fokker Planck equation arises in various fields in nat- ural science, including solid-state physics, quantum optics, chemical physics, theoretical biology, and circuit theory. e Fokker Planck equation was first used by Fokker and Plank [1] to describe the Brownian motion of particles. A FPE describes the change of probability of a random function in space and time; hence it is naturally used to describe solute transport. e local fractional calculus was developed and applied to the fractal phenomenon in science and engineering [2–13]. Local fractional Fokker Planck equation, which was an analog of a diffusion equation with local fractional derivative, was suggested in [5] as follows: (, ) = Γ (1 + ) 4 () + 2 (, ) 2 . (1) e Fokker Planck equation on a Cantor set with local fractional derivative was presented in [6, 7] as follows: (, ) =− (, ) + 2 (, ) 2 , (2) subject to the initial condition (, 0) = () . (3) In recent years, a variety of numerical and analytical methods have been applied to solve the Fokker Planck equation on Cantor sets such as local fractional variational iteration method [6] and local fractional Adomian decom- position method [7]. Our main purpose of the paper is to apply the local fractional Laplace decomposition method and local fractional variational iteration method to solve the Fokker Planck equations on a Cantor set. e paper has been organized as follows. In Section 2, the basic mathematical tools are reviewed. In Section 3, we give analysis of the methods used. In Section 4, we consider several illustrative examples. Finally, in Section 5, we present our conclusions. 2. Mathematical Fundamentals Definition 1. Setting () (, ), the local fractional derivative of () of order at the point = 0 is defined as [2, 3, 9–12] () = 0 = () () = lim 0 Δ ( () − ( 0 )) ( − 0 ) , 0 < ≤ 1, (4) where Δ (() − ( 0 )) ≅ Γ( + 1)(() − ( 0 )). Hindawi Publishing Corporation Journal of Mathematics Volume 2015, Article ID 684598, 8 pages http://dx.doi.org/10.1155/2015/684598

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  • Research ArticleNew Approaches for Solving Fokker Planck Equation onCantor Sets within Local Fractional Operators

    Hassan Kamil Jassim1,2

    1Department of Mathematics, Faculty of Mathematical Sciences, University of Mazandaran, Babolsar, Iran2Department of Mathematics, Faculty of Education for Pure Sciences, University of Thi-Qar, Nasiriyah, Iraq

    Correspondence should be addressed to Hassan Kamil Jassim; [email protected]

    Received 29 July 2015; Revised 30 September 2015; Accepted 12 October 2015

    Academic Editor: Peter R. Massopust

    Copyright © 2015 Hassan Kamil Jassim.This is an open access article distributed under theCreative CommonsAttribution License,which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

    We discuss new approaches to handling Fokker Planck equation on Cantor sets within local fractional operators by using thelocal fractional Laplace decomposition and Laplace variational iteration methods based on the local fractional calculus. Thenew approaches maintain the efficiency and accuracy of the analytical methods for solving local fractional differential equations.Illustrative examples are given to show the accuracy and reliable results.

    1. Introduction

    The Fokker Planck equation arises in various fields in nat-ural science, including solid-state physics, quantum optics,chemical physics, theoretical biology, and circuit theory. TheFokker Planck equationwas first used by Fokker andPlank [1]to describe the Brownianmotion of particles. A FPEdescribesthe change of probability of a random function in space andtime; hence it is naturally used to describe solute transport.

    The local fractional calculus was developed and appliedto the fractal phenomenon in science and engineering [2–13].Local fractional Fokker Planck equation,whichwas an analogof a diffusion equation with local fractional derivative, wassuggested in [5] as follows:

    𝜕𝛼

    𝑢 (𝑥, 𝑡)

    𝜕𝑡𝛼=

    Γ (1 + 𝛼)

    4𝜒𝐶(𝑡) +

    𝜕2

    𝑢 (𝑥, 𝑡)

    𝜕𝑥2. (1)

    The Fokker Planck equation on a Cantor set with localfractional derivative was presented in [6, 7] as follows:

    𝜕𝛼

    𝑢 (𝑥, 𝑡)

    𝜕𝑡𝛼= −

    𝜕𝛼

    𝑢 (𝑥, 𝑡)

    𝜕𝑥𝛼+

    𝜕2𝛼

    𝑢 (𝑥, 𝑡)

    𝜕𝑥2𝛼, (2)

    subject to the initial condition

    𝑢 (𝑥, 0) = 𝑓 (𝑥) . (3)

    In recent years, a variety of numerical and analyticalmethods have been applied to solve the Fokker Planckequation on Cantor sets such as local fractional variationaliteration method [6] and local fractional Adomian decom-position method [7]. Our main purpose of the paper is toapply the local fractional Laplace decomposition methodand local fractional variational iteration method to solve theFokker Planck equations on a Cantor set. The paper has beenorganized as follows. In Section 2, the basic mathematicaltools are reviewed. In Section 3, we give analysis of themethods used. In Section 4, we consider several illustrativeexamples. Finally, in Section 5, we present our conclusions.

    2. Mathematical Fundamentals

    Definition 1. Setting 𝑓(𝑥) ∈ 𝐶𝛼(𝑎, 𝑏), the local fractional

    derivative of 𝑓(𝑥) of order 𝛼 at the point 𝑥 = 𝑥0is defined

    as [2, 3, 9–12]

    𝑑𝛼

    𝑑𝑥𝛼𝑓 (𝑥)

    𝑥=𝑥0

    = 𝑓(𝛼)

    (𝑥) = lim𝑥→𝑥0

    Δ𝛼

    (𝑓 (𝑥) − 𝑓 (𝑥0))

    (𝑥 − 𝑥0)𝛼

    ,

    0 < 𝛼 ≤ 1,

    (4)

    where Δ𝛼(𝑓(𝑥) − 𝑓(𝑥0)) ≅ Γ(𝛼 + 1)(𝑓(𝑥) − 𝑓(𝑥

    0)).

    Hindawi Publishing CorporationJournal of MathematicsVolume 2015, Article ID 684598, 8 pageshttp://dx.doi.org/10.1155/2015/684598

  • 2 Journal of Mathematics

    Definition 2. Setting 𝑓(𝑥) ∈ 𝐶𝛼(𝑎, 𝑏), local fractional integral

    of 𝑓(𝑥) of order 𝛼 in the interval [𝑎, 𝑏] is defined through [2,3, 9–12]

    𝑎𝐼(𝛼)

    𝑏𝑓 (𝑥) =

    1

    Γ (1 + 𝛼)∫

    𝑏

    𝑎

    𝑓 (𝑡) (𝑑𝑡)𝛼

    =1

    Γ (1 + 𝛼)limΔ𝑡→0

    𝑁−1

    𝑗=0

    𝑓 (𝑡𝑗) (Δ𝑡𝑗)𝛼

    ,

    0 < 𝛼 ≤ 1,

    (5)

    where the partitions of the interval [𝑎, 𝑏] are denoted as(𝑡𝑗, 𝑡𝑗+1

    ), with Δ𝑡𝑗

    = 𝑡𝑗+1

    − 𝑡𝑗, 𝑡0

    = 𝑎, 𝑡𝑁

    = 𝑏, and Δ𝑡 =max{Δ𝑡

    0, Δ𝑡1, . . .}, 𝑗 = 0, . . . , 𝑁 − 1.

    Definition 3. Let (1/Γ(1 + 𝛼)) ∫∞0

    |𝑓(𝑥)|(𝑑𝑥)𝛼

    < 𝑘 < ∞. TheYang-Laplace transform of 𝑓(𝑥) is given by [2, 3]

    𝐿𝛼{𝑓 (𝑥)} = 𝑓

    𝐿,𝛼

    𝑠(𝑠)

    =1

    Γ (1 + 𝛼)∫

    0

    𝐸𝛼(−𝑠𝛼

    𝑥𝛼

    ) 𝑓 (𝑥) (𝑑𝑥)𝛼

    ,

    0 < 𝛼 ≤ 1,

    (6)

    where the latter integral converges and 𝑠𝛼 ∈ 𝑅𝛼.

    Definition 4. The inverse formula of the Yang-Laplace trans-forms of 𝑓(𝑥) is given by [2, 3]

    𝐿−1

    𝛼{𝑓𝐿,𝛼

    𝑠(𝑠)} = 𝑓 (𝑡)

    =1

    (2𝜋)𝛼∫

    𝛽+𝑖𝜔

    𝛽−𝑖𝜔

    𝐸𝛼(𝑠𝛼

    𝑥𝛼

    ) 𝑓𝐿,𝛼

    𝑠(𝑠) (𝑑𝑠)

    𝛼

    ,

    0 < 𝛼 ≤ 1,

    (7)

    where 𝑠𝛼 = 𝛽𝛼 + 𝑖𝛼𝜔𝛼, fractal imaginary unit 𝑖𝛼, and Re(𝑠) =𝛽 > 0.

    3. Analytical Methods

    In order to illustrate two analytical methods, we investigatethe local fractional partial differential equation as follows:

    𝐿𝛼𝑢 (𝑥, 𝑡) + 𝑅

    𝛼𝑢 (𝑥, 𝑡) = 𝑔 (𝑥, 𝑡) , (8)

    where 𝐿𝛼

    = 𝜕𝛼

    /𝜕𝑡𝛼 denotes the linear local fractional

    differential operator,𝑅𝛼is the remaining linear operators, and

    𝑔(𝑥, 𝑡) is a source term of the nondifferential functions.

    3.1. Local Fractional Laplace Decomposition Method(LFLDM). Taking Yang-Laplace transform on (8), weobtain

    𝐿𝛼{𝐿𝛼𝑢 (𝑥, 𝑡)} + 𝐿

    𝛼{𝑅𝛼𝑢 (𝑥, 𝑡)} = 𝐿

    𝛼{𝑔 (𝑥, 𝑡)} . (9)

    By applying the local fractional Laplace transform differenti-ation property, we have

    𝑠𝛼

    𝐿𝛼{𝑢 (𝑥, 𝑡)} − 𝑢 (𝑥, 0) + 𝐿

    𝛼{𝑅𝛼𝑢 (𝑥, 𝑡)}

    = 𝐿𝛼{𝑔 (𝑥, 𝑡)} ,

    (10)

    or

    𝐿𝛼{𝑢 (𝑥, 𝑡)} =

    1

    𝑠𝛼𝑢 (𝑥, 0) +

    1

    𝑠𝛼𝐿𝛼{𝑔 (𝑥, 𝑡)}

    −1

    𝑠𝛼𝐿 {𝑅𝛼(𝑥, 𝑡)} .

    (11)

    Taking the inverse of local fractional Laplace transform on(11), we obtain

    𝑢 (𝑥, 𝑡) = 𝑢 (𝑥, 0) + 𝐿−1

    𝛼(

    1

    𝑠𝛼𝐿𝛼{𝑔 (𝑥, 𝑡)})

    − 𝐿−1

    𝛼(

    1

    𝑠𝛼𝐿𝛼{𝑅𝛼𝑢 (𝑥, 𝑡)}) .

    (12)

    We are going to represent the solution in an infinite seriesgiven below:

    𝑢 (𝑥, 𝑡) =

    𝑛=0

    𝑢𝑛(𝑥, 𝑡) . (13)

    Substitute (13) into (12), which gives us this result∞

    𝑛=0

    𝑢𝑛(𝑥, 𝑡) = 𝑢 (𝑥, 0) + 𝐿

    −1

    𝛼(

    1

    𝑠𝛼𝐿𝛼{𝑔 (𝑥, 𝑡)})

    − 𝐿−1

    𝛼(

    1

    𝑠𝛼𝐿𝛼{𝑅𝛼

    𝑛=0

    𝑢𝑛(𝑥, 𝑡)}) .

    (14)

    When we compare the left- and right-hand sides of (14), weobtain

    𝑢0(𝑥, 𝑡) = 𝑢 (𝑥, 0) + 𝐿

    −1

    𝛼(

    1

    𝑠𝛼𝐿𝛼{𝑔 (𝑥, 𝑡)}) ,

    𝑢1(𝑥, 𝑡) = − 𝐿

    −1

    𝛼(

    1

    𝑠𝛼𝐿𝛼{𝑅𝛼𝑢0(𝑥, 𝑡)}) ,

    𝑢2(𝑥, 𝑡) = − 𝐿

    −1

    𝛼(

    1

    𝑠𝛼𝐿𝛼{𝑅𝛼𝑢1(𝑥, 𝑡)})

    .

    .

    .

    (15)

    The recursive relation, in general form, is

    𝑢0(𝑥, 𝑡) = 𝑢 (𝑥, 0) + 𝐿

    −1

    𝛼(

    1

    𝑠𝛼𝐿𝛼{𝑔 (𝑥, 𝑡)}) ,

    𝑢𝑛+1

    (𝑥, 𝑡) = − 𝐿−1

    𝛼(

    1

    𝑠𝛼𝐿𝛼{𝑅𝛼𝑢𝑛(𝑥, 𝑡)}) , 𝑛 ≥ 0.

    (16)

    3.2. Local Fractional Laplace Variational Iteration Method(LFLDM). According to the rule of local fractional varia-tional iteration method, the correction local fractional func-tional for (8) is constructed as [13]

    𝑢𝑛+1

    (𝑡) = 𝑢𝑛(𝑡)

    +0𝐼(𝛼)

    𝑡(𝜆 (𝑡 − 𝜉)

    𝛼

    Γ (1 + 𝛼)[𝐿𝛼𝑢𝑛(𝜉) + 𝑅

    𝛼�̃�𝑛(𝜉) − 𝑔 (𝜉)]) ,

    (17)

    where 𝜆(𝑡 − 𝜉)𝛼/Γ(1 + 𝛼) is a fractal Lagrange multiplier.

  • Journal of Mathematics 3

    We now take Yang-Laplace transform of (17); namely,

    𝐿𝛼{𝑢𝑛+1

    (𝑡)} = 𝐿𝛼{𝑢𝑛(𝑡)}

    + 𝐿𝛼{0𝐼(𝛼)

    𝑡(𝜆 (𝑡 − 𝜉)

    𝛼

    Γ (1 + 𝛼)[𝐿𝛼𝑢𝑛(𝜉) + 𝑅

    𝛼�̃�𝑛(𝜉)

    − 𝑔 (𝜉)])} ,

    (18)

    or

    𝐿𝛼{𝑢𝑛+1

    (𝑡)}

    = 𝐿𝛼{𝑢𝑛(𝑡)}

    + 𝐿𝛼{

    𝜆 (𝑡)𝛼

    Γ (1 + 𝛼)} 𝐿𝛼{𝐿𝛼𝑢𝑛(𝑡) + 𝑅

    𝛼�̃�𝑛(𝑡) − 𝑔 (𝑡)} .

    (19)

    Take the local fractional variation of (19), which is given by

    𝛿𝛼

    (𝐿𝛼{𝑢𝑛+1

    (𝑡)}) = 𝛿𝛼

    (𝐿𝛼{𝑢𝑛(𝑡)})

    + 𝛿𝛼

    (𝐿𝛼{

    𝜆 (𝑡)𝛼

    Γ (1 + 𝛼)}

    ⋅ 𝐿𝛼{𝐿𝛼𝑢𝑛(𝑡) − 𝑅

    𝛼�̃�𝑛(𝑡) − 𝑔 (𝑡)}) .

    (20)

    By using computation of (20), we get

    𝛿𝛼

    (𝐿𝛼{𝑢𝑛+1

    (𝑡)})

    = 𝛿𝛼

    (𝐿𝛼{𝑢𝑛(𝑡)})

    + 𝐿𝛼{

    𝜆 (𝑡)𝛼

    Γ (1 + 𝛼)} 𝛿𝛼

    (𝐿𝛼{𝐿𝛼𝑢𝑛(𝑡)}) = 0.

    (21)

    Hence, from (21) we get

    1 + 𝐿𝛼{

    𝜆 (𝑡)𝛼

    Γ (1 + 𝛼)} 𝑠𝛼

    = 0, (22)

    where

    𝛿𝛼

    (𝐿𝛼{𝐿𝛼𝑢𝑛(𝑡)}) = 𝛿

    𝛼

    (𝑠𝛼

    𝐿𝛼{𝑢𝑛(𝑡)} − 𝑢

    𝑛(0))

    = 𝑠𝛼

    𝛿𝛼

    (𝐿𝛼{𝑢𝑛(𝑡)}) .

    (23)

    Therefore, we get

    𝐿𝛼{

    𝜆 (𝑡)𝛼

    Γ (1 + 𝛼)} = −

    1

    𝑠𝛼. (24)

    Therefore, we have the following iteration algorithm:

    𝐿𝛼{𝑢𝑛+1

    (𝑡)} = 𝐿𝛼{𝑢𝑛(𝑡)}

    −1

    𝑠𝛼𝐿𝛼{𝐿𝛼𝑢𝑛(𝑡) + 𝑅

    𝛼𝑢𝑛(𝑡) − 𝑔 (𝑡)}

    = 𝐿𝛼{𝑢𝑛(𝑡)} −

    1

    𝑠𝛼𝐿𝛼{𝐿𝛼𝑢𝑛(𝑡)}

    −1

    𝑠𝛼𝐿𝛼{𝑅𝛼𝑢𝑛(𝑡) − 𝑔 (𝑡)}

    = 𝐿𝛼{𝑢𝑛(𝑡)} −

    1

    𝑠𝛼𝐿𝛼{𝑠𝛼

    𝑢𝑛(𝑡) − 𝑢 (0)}

    −1

    𝑠𝛼𝐿𝛼{𝑅𝛼𝑢𝑛(𝑡) − 𝑔 (𝑡)}

    =1

    𝑠𝛼𝑢 (0) −

    1

    𝑠𝛼𝐿𝛼{𝑅𝛼𝑢𝑛(𝑡) − 𝑔 (𝑡)} ,

    (25)

    where the initial value reads as

    𝐿𝛼{𝑢0(𝑡)} =

    1

    𝑠𝛼𝑢 (0) . (26)

    Thus, the local fractional series solution of (8) is

    𝑢 (𝑥, 𝑡) = lim𝑛→∞

    𝐿−1

    𝛼(𝐿𝛼{𝑢𝑛(𝑥, 𝑡)}) . (27)

    4. Illustrative Examples

    In this section three examples for Fokker Planck equationare presented in order to demonstrate the simplicity and theefficiency of the above methods.

    Example 1. Let us consider the following Fokker Planckequation on Cantor sets with local fractional derivative in theform

    𝜕𝛼

    𝑢 (𝑥, 𝑡)

    𝜕𝑡𝛼= −

    𝜕𝛼

    𝑢 (𝑥, 𝑡)

    𝜕𝑥𝛼+

    𝜕2𝛼

    𝑢 (𝑥, 𝑡)

    𝜕𝑥2𝛼, (28)

    subject to the initial value

    𝑢 (𝑥, 0) = 𝐸𝛼(−𝑥𝛼

    ) . (29)

    (I) By Using LFLDM. In view of (16) and (28) the localfractional iteration algorithm can be written as follows:

    𝑢0(𝑥, 𝑡) = 𝐸

    𝛼(−𝑥𝛼

    ) ,

    𝑢𝑛+1

    (𝑥, 𝑡)

    = 𝐿−1

    𝛼(

    1

    𝑠𝛼𝐿𝛼{−

    𝜕𝛼

    𝑢𝑛(𝑥, 𝑡)

    𝜕𝑥𝛼+

    𝜕2𝛼

    𝑢𝑛(𝑥, 𝑡)

    𝜕𝑥2𝛼}) ,

    𝑛 ≥ 0.

    (30)

  • 4 Journal of Mathematics

    Therefore, from (30) we give the components as follows:

    𝑢0(𝑥, 𝑡) = 𝐸

    𝛼(−𝑥𝛼

    ) ,

    𝑢1(𝑥, 𝑡)

    = 𝐿−1

    𝛼(

    1

    𝑠𝛼𝐿𝛼{−

    𝜕𝛼

    𝑢0(𝑥, 𝑡)

    𝜕𝑥𝛼+

    𝜕2𝛼

    𝑢0(𝑥, 𝑡)

    𝜕𝑥2𝛼})

    = 𝐿−1

    𝛼(

    2

    𝑠2𝛼𝐸𝛼(−𝑥𝛼

    )) =2𝑡𝛼

    Γ (1 + 𝛼)𝐸𝛼(−𝑥𝛼

    ) ,

    𝑢2(𝑥, 𝑡)

    = 𝐿−1

    𝛼(

    1

    𝑠𝛼𝐿𝛼{−

    𝜕𝛼

    𝑢1(𝑥, 𝑡)

    𝜕𝑥𝛼+

    𝜕2𝛼

    𝑢1(𝑥, 𝑡)

    𝜕𝑥2𝛼})

    = 𝐿−1

    𝛼(

    4

    𝑠3𝛼𝐸𝛼(−𝑥𝛼

    )) =4𝑡2𝛼

    Γ (1 + 2𝛼)𝐸𝛼(−𝑥𝛼

    ) ,

    𝑢3(𝑥, 𝑡)

    = 𝐿−1

    𝛼(

    1

    𝑠𝛼𝐿𝛼{−

    𝜕𝛼

    𝑢2(𝑥, 𝑡)

    𝜕𝑥𝛼+

    𝜕2𝛼

    𝑢2(𝑥, 𝑡)

    𝜕𝑥2𝛼})

    = 𝐿−1

    𝛼(

    8

    𝑠4𝛼𝐸𝛼(−𝑥𝛼

    )) =8𝑡3𝛼

    Γ (1 + 3𝛼)𝐸𝛼(−𝑥𝛼

    )

    .

    .

    .

    (31)

    Finally, we can present the solution in local fractional seriesform as

    𝑢 (𝑥, 𝑡) = 𝐸𝛼(−𝑥𝛼

    )

    ⋅ (1 +2𝑡𝛼

    Γ (1 + 𝛼)+

    4𝑡2𝛼

    Γ (1 + 2𝛼)+

    8𝑡3𝛼

    Γ (1 + 3𝛼)+ ⋅ ⋅ ⋅)

    = 𝐸𝛼(−𝑥𝛼

    ) 𝐸𝛼(2𝑡𝛼

    ) = 𝐸𝛼(2𝑡𝛼

    − 𝑥𝛼

    ) .

    (32)

    (II) By Using LFLVIM. Using relation (25) we structure theiterative relation as

    𝐿𝛼{𝑢𝑛+1

    (𝑥, 𝑡)}

    = 𝐿𝛼{𝑢𝑛(𝑥, 𝑡)}

    −1

    𝑠𝛼𝐿𝛼{

    𝜕𝛼

    𝑢𝑛(𝑥, 𝑡)

    𝜕𝑡𝛼+

    𝜕𝛼

    𝑢𝑛(𝑥, 𝑡)

    𝜕𝑥𝛼−

    𝜕2𝛼

    𝑢𝑛(𝑥, 𝑡)

    𝜕𝑥2𝛼}

    = 𝐿𝛼{𝑢𝑛(𝑥, 𝑡)} −

    1

    𝑠𝛼(𝑠𝛼

    𝐿𝛼{𝑢𝑛(𝑥, 𝑡)} − 𝑢

    𝑛(𝑥, 0))

    −1

    𝑠𝛼𝐿𝛼{

    𝜕𝛼

    𝑢𝑛(𝑥, 𝑡)

    𝜕𝑥𝛼−

    𝜕2𝛼

    𝑢𝑛(𝑥, 𝑡)

    𝜕𝑥2𝛼} ,

    (33)

    where the initial value is given by

    𝐿𝛼{𝑢0(𝑥, 𝑡)} = 𝐿

    𝛼{𝐸𝛼(−𝑥𝛼

    )} =1

    𝑠𝛼𝐸𝛼(−𝑥𝛼

    ) . (34)

    Therefore, the successive approximations are𝐿𝛼{𝑢1(𝑥, 𝑡)} = 𝐿

    𝛼{𝑢𝑛(𝑥, 𝑡)}

    −1

    𝑠𝛼(𝑠𝛼

    𝐿𝛼{𝑢𝑛(𝑥, 𝑡)} − 𝑢

    𝑛(𝑥, 0))

    −1

    𝑠𝛼𝐿𝛼{

    𝜕𝛼

    𝑢𝑛(𝑥, 𝑡)

    𝜕𝑥𝛼−

    𝜕2𝛼

    𝑢𝑛(𝑥, 𝑡)

    𝜕𝑥2𝛼}

    =1

    𝑠𝛼𝐸𝛼(−𝑥𝛼

    ) +2

    𝑠2𝛼𝐸𝛼(−𝑥𝛼

    ) ,

    𝐿𝛼{𝑢2(𝑥, 𝑡)} = 𝐿

    𝛼{𝑢1(𝑥, 𝑡)}

    −1

    𝑠𝛼(𝑠𝛼

    𝐿𝛼{𝑢1(𝑥, 𝑡)} − 𝑢

    1(𝑥, 0))

    −1

    𝑠𝛼𝐿𝛼{

    𝜕𝛼

    𝑢1(𝑥, 𝑡)

    𝜕𝑥𝛼−

    𝜕2𝛼

    𝑢1(𝑥, 𝑡)

    𝜕𝑥2𝛼}

    =1

    𝑠𝛼𝐸𝛼(−𝑥𝛼

    ) +2

    𝑠2𝛼𝐸𝛼(−𝑥𝛼

    ) +4

    𝑠3𝛼𝐸𝛼(−𝑥𝛼

    )

    = 𝐸𝛼(−𝑥𝛼

    ) (1

    𝑠𝛼+

    2

    𝑠2𝛼+

    4

    𝑠3𝛼) ,

    𝐿𝛼{𝑢3(𝑥, 𝑡)} = 𝐿

    𝛼{𝑢2(𝑥, 𝑡)}

    −1

    𝑠𝛼(𝑠𝛼

    𝐿𝛼{𝑢2(𝑥, 𝑡)} − 𝑢

    2(𝑥, 0))

    −1

    𝑠𝛼𝐿𝛼{

    𝜕𝛼

    𝑢2(𝑥, 𝑡)

    𝜕𝑥𝛼−

    𝜕2𝛼

    𝑢2(𝑥, 𝑡)

    𝜕𝑥2𝛼}

    =1

    𝑠𝛼𝐸𝛼(−𝑥𝛼

    ) +2

    𝑠2𝛼𝐸𝛼(−𝑥𝛼

    ) +4

    𝑠3𝛼𝐸𝛼(−𝑥𝛼

    )

    +8

    𝑠4𝛼𝐸𝛼(−𝑥𝛼

    )

    = 𝐸𝛼(−𝑥𝛼

    ) (1

    𝑠𝛼+

    2

    𝑠2𝛼+

    4

    𝑠3𝛼+

    8

    𝑠4𝛼)

    .

    .

    .

    (35)

    Hence, the local fractional series solution is𝑢 (𝑥, 𝑡) = lim

    𝑛→∞

    𝐿−1

    𝛼(𝐿𝛼{𝑢𝑛(𝑥, 𝑡)})

    = lim𝑛→∞

    𝐿−1

    𝛼(𝐸𝛼(−𝑥𝛼

    )

    𝑛

    𝑘=0

    2𝑘

    𝑠(𝑘+1)𝛼)

    = 𝐸𝛼(−𝑥𝛼

    )

    𝑘=0

    2𝑘

    𝑡𝑘𝛼

    Γ (1 + 𝑘𝛼)= 𝐸𝛼(2𝑡𝛼

    − 𝑥𝛼

    ) .

    (36)

    Example 2. We present the Fokker Planck equation on aCantor set with local fractional derivative

    𝜕𝛼

    𝑢 (𝑥, 𝑡)

    𝜕𝑡𝛼= −

    𝜕𝛼

    𝑢 (𝑥, 𝑡)

    𝜕𝑥𝛼+

    𝜕2𝛼

    𝑢 (𝑥, 𝑡)

    𝜕𝑥2𝛼, (37)

    and the initial condition is

    𝑢 (𝑥, 0) =𝑥2𝛼

    Γ (1 + 2𝛼). (38)

  • Journal of Mathematics 5

    (I) By Using LFLDM. In view of (16) and (37) the localfractional iteration algorithm can be written as follows:

    𝑢0(𝑥, 𝑡) =

    𝑥2𝛼

    Γ (1 + 2𝛼),

    𝑢𝑛+1

    (𝑥, 𝑡)

    = 𝐿−1

    𝛼(

    1

    𝑠𝛼𝐿𝛼{−

    𝜕𝛼

    𝑢𝑛(𝑥, 𝑡)

    𝜕𝑥𝛼+

    𝜕2𝛼

    𝑢𝑛(𝑥, 𝑡)

    𝜕𝑥2𝛼}) ,

    𝑛 ≥ 0.

    (39)

    Therefore, from (39) we give the components as follows:

    𝑢0(𝑥, 𝑡) =

    𝑥2𝛼

    Γ (1 + 2𝛼),

    𝑢1(𝑥, 𝑡)

    = 𝐿−1

    𝛼(

    1

    𝑠𝛼𝐿𝛼{−

    𝜕𝛼

    𝑢0(𝑥, 𝑡)

    𝜕𝑥𝛼+

    𝜕2𝛼

    𝑢0(𝑥, 𝑡)

    𝜕𝑥2𝛼})

    = 𝐿−1

    𝛼(−

    1

    𝑠2𝛼

    𝑥𝛼

    Γ (1 + 𝛼)+

    1

    𝑠2𝛼)

    = −𝑡𝛼

    Γ (1 + 𝛼)

    𝑥𝛼

    Γ (1 + 𝛼)+

    𝑡𝛼

    Γ (1 + 𝛼),

    𝑢2(𝑥, 𝑡)

    = 𝐿−1

    𝛼(

    1

    𝑠𝛼𝐿𝛼{−

    𝜕𝛼

    𝑢1(𝑥, 𝑡)

    𝜕𝑥𝛼+

    𝜕2𝛼

    𝑢1(𝑥, 𝑡)

    𝜕𝑥2𝛼})

    = 𝐿−1

    𝛼(

    1

    𝑠3𝛼) =

    𝑡2𝛼

    Γ (1 + 2𝛼),

    𝑢3(𝑥, 𝑡)

    = 𝐿−1

    𝛼(

    1

    𝑠𝛼𝐿𝛼{−

    𝜕𝛼

    𝑢2(𝑥, 𝑡)

    𝜕𝑥𝛼+

    𝜕2𝛼

    𝑢2(𝑥, 𝑡)

    𝜕𝑥2𝛼})

    = 0,

    𝑢4(𝑥, 𝑡)

    = 𝐿−1

    𝛼(

    1

    𝑠𝛼𝐿𝛼{−

    𝜕𝛼

    𝑢3(𝑥, 𝑡)

    𝜕𝑥𝛼+

    𝜕2𝛼

    𝑢3(𝑥, 𝑡)

    𝜕𝑥2𝛼}) = 0

    .

    .

    .

    (40)

    Finally, we can present the solution in local fractional seriesform as

    𝑢 (𝑥, 𝑡) =𝑥2𝛼

    Γ (1 + 2𝛼)+

    𝑡2𝛼

    Γ (1 + 2𝛼)

    −𝑥𝛼

    Γ (1 + 𝛼)

    𝑡𝛼

    Γ (1 + 𝛼)+

    𝑡𝛼

    Γ (1 + 𝛼).

    (41)

    (II) By Using LFLVIM. Using relation (25) we structure theiterative relation as

    𝐿𝛼{𝑢𝑛+1

    (𝑥, 𝑡)} = 𝐿𝛼{𝑢𝑛(𝑥, 𝑡)}

    −1

    𝑠𝛼𝐿𝛼{

    𝜕𝛼

    𝑢𝑛(𝑥, 𝑡)

    𝜕𝑡𝛼+

    𝜕𝛼

    𝑢𝑛(𝑥, 𝑡)

    𝜕𝑥𝛼−

    𝜕2𝛼

    𝑢𝑛(𝑥, 𝑡)

    𝜕𝑥2𝛼}

    = 𝐿𝛼{𝑢𝑛(𝑥, 𝑡)} −

    1

    𝑠𝛼(𝑠𝛼

    𝐿𝛼{𝑢𝑛(𝑥, 𝑡)} − 𝑢

    𝑛(𝑥, 0))

    −1

    𝑠𝛼𝐿𝛼{

    𝜕𝛼

    𝑢𝑛(𝑥, 𝑡)

    𝜕𝑥𝛼−

    𝜕2𝛼

    𝑢𝑛(𝑥, 𝑡)

    𝜕𝑥2𝛼} ,

    (42)

    where the initial value is given by

    𝐿𝛼{𝑢0(𝑥, 𝑡)} = 𝐿

    𝛼{

    𝑥2𝛼

    Γ (1 + 2𝛼)} =

    1

    𝑠𝛼

    𝑥2𝛼

    Γ (1 + 2𝛼). (43)

    Therefore, the successive approximations are

    𝐿𝛼{𝑢1(𝑥, 𝑡)} = 𝐿

    𝛼{𝑢0(𝑥, 𝑡)}

    −1

    𝑠𝛼(𝑠𝛼

    𝐿𝛼{𝑢0(𝑥, 𝑡)} − 𝑢

    0(𝑥, 0))

    −1

    𝑠𝛼𝐿𝛼{

    𝜕𝛼

    𝑢0(𝑥, 𝑡)

    𝜕𝑥𝛼−

    𝜕2𝛼

    𝑢0(𝑥, 𝑡)

    𝜕𝑥2𝛼}

    =1

    𝑠𝛼

    𝑥2𝛼

    Γ (1 + 2𝛼)−

    1

    𝑠2𝛼

    𝑥𝛼

    Γ (1 + 𝛼)+

    1

    𝑠2𝛼,

    𝐿𝛼{𝑢2(𝑥, 𝑡)} = 𝐿

    𝛼{𝑢1(𝑥, 𝑡)}

    −1

    𝑠𝛼(𝑠𝛼

    𝐿𝛼{𝑢1(𝑥, 𝑡)} − 𝑢

    1(𝑥, 0))

    −1

    𝑠𝛼𝐿𝛼{

    𝜕𝛼

    𝑢1(𝑥, 𝑡)

    𝜕𝑥𝛼−

    𝜕2𝛼

    𝑢1(𝑥, 𝑡)

    𝜕𝑥2𝛼}

    =1

    𝑠𝛼

    𝑥2𝛼

    Γ (1 + 2𝛼)−

    1

    𝑠2𝛼

    𝑥𝛼

    Γ (1 + 𝛼)+

    1

    𝑠3𝛼+

    1

    𝑠2𝛼,

    𝐿𝛼{𝑢3(𝑥, 𝑡)} = 𝐿

    𝛼{𝑢2(𝑥, 𝑡)}

    −1

    𝑠𝛼(𝑠𝛼

    𝐿𝛼{𝑢2(𝑥, 𝑡)} − 𝑢

    2(𝑥, 0))

    −1

    𝑠𝛼𝐿𝛼{

    𝜕𝛼

    𝑢2(𝑥, 𝑡)

    𝜕𝑥𝛼−

    𝜕2𝛼

    𝑢2(𝑥, 𝑡)

    𝜕𝑥2𝛼}

    =1

    𝑠𝛼

    𝑥2𝛼

    Γ (1 + 2𝛼)−

    1

    𝑠2𝛼

    𝑥𝛼

    Γ (1 + 𝛼)+

    1

    𝑠3𝛼+

    1

    𝑠2𝛼

    .

    .

    .

    (44)

  • 6 Journal of Mathematics

    Hence, the local fractional series solution is

    𝑢 (𝑥, 𝑡) = lim𝑛→∞

    𝐿−1

    𝛼(𝐿𝛼{𝑢𝑛(𝑥, 𝑡)})

    = lim𝑛→∞

    𝐿−1

    𝛼(

    1

    𝑠𝛼

    𝑥2𝛼

    Γ (1 + 2𝛼)+

    1

    𝑠3𝛼−

    1

    𝑠2𝛼

    𝑥𝛼

    Γ (1 + 𝛼)

    +1

    𝑠2𝛼) =

    𝑥2𝛼

    Γ (1 + 2𝛼)+

    𝑡2𝛼

    Γ (1 + 2𝛼)−

    𝑥𝛼

    Γ (1 + 𝛼)

    ⋅𝑡𝛼

    Γ (1 + 𝛼)+

    𝑡𝛼

    Γ (1 + 𝛼).

    (45)

    Example 3. We consider the Fokker Planck equation on aCantor set with local fractional derivative

    𝜕𝛼

    𝑢 (𝑥, 𝑡)

    𝜕𝑡𝛼= −

    𝜕𝛼

    𝑢 (𝑥, 𝑡)

    𝜕𝑥𝛼+

    𝜕2𝛼

    𝑢 (𝑥, 𝑡)

    𝜕𝑥2𝛼, (46)

    and the initial condition is

    𝑢 (𝑥, 0) = −𝑥3𝛼

    Γ (1 + 3𝛼). (47)

    (I) By Using LFLDM. In view of (16) and (46) the localfractional iteration algorithm can be written as follows:

    𝑢0(𝑥, 𝑡) = −

    𝑥3𝛼

    Γ (1 + 3𝛼),

    𝑢𝑛+1

    (𝑥, 𝑡)

    = 𝐿−1

    𝛼(

    1

    𝑠𝛼𝐿𝛼{−

    𝜕𝛼

    𝑢𝑛(𝑥, 𝑡)

    𝜕𝑥𝛼+

    𝜕2𝛼

    𝑢𝑛(𝑥, 𝑡)

    𝜕𝑥2𝛼}) ,

    𝑛 ≥ 0.

    (48)

    Therefore, from (30) we give the components as follows:

    𝑢0(𝑥, 𝑡) = −

    𝑥3𝛼

    Γ (1 + 3𝛼),

    𝑢1(𝑥, 𝑡)

    = 𝐿−1

    𝛼(

    1

    𝑠𝛼𝐿𝛼{−

    𝜕𝛼

    𝑢0(𝑥, 𝑡)

    𝜕𝑥𝛼+

    𝜕2𝛼

    𝑢0(𝑥, 𝑡)

    𝜕𝑥2𝛼})

    = 𝐿−1

    𝛼(

    1

    𝑠2𝛼

    𝑥2𝛼

    Γ (1 + 2𝛼)−

    1

    𝑠2𝛼

    𝑥𝛼

    Γ (1 + 𝛼))

    =𝑥2𝛼

    Γ (1 + 2𝛼)

    𝑡𝛼

    Γ (1 + 𝛼)−

    𝑥𝛼

    Γ (1 + 𝛼)

    𝑡𝛼

    Γ (1 + 𝛼),

    𝑢2(𝑥, 𝑡)

    = 𝐿−1

    𝛼(

    1

    𝑠𝛼𝐿𝛼{−

    𝜕𝛼

    𝑢1(𝑥, 𝑡)

    𝜕𝑥𝛼+

    𝜕2𝛼

    𝑢1(𝑥, 𝑡)

    𝜕𝑥2𝛼})

    = 𝐿−1

    𝛼(−

    1

    𝑠3𝛼

    𝑥𝛼

    Γ (1 + 𝛼)+

    2

    𝑠3𝛼)

    = −𝑥𝛼

    Γ (1 + 𝛼)

    𝑡2𝛼

    Γ (1 + 2𝛼)+

    2𝑡2𝛼

    Γ (1 + 2𝛼),

    𝑢3(𝑥, 𝑡)

    = 𝐿−1

    𝛼(

    1

    𝑠𝛼𝐿𝛼{−

    𝜕𝛼

    𝑢2(𝑥, 𝑡)

    𝜕𝑥𝛼+

    𝜕2𝛼

    𝑢2(𝑥, 𝑡)

    𝜕𝑥2𝛼})

    = 𝐿−1

    𝛼(

    1

    𝑠4𝛼) =

    𝑡3𝛼

    Γ (1 + 3𝛼),

    𝑢4(𝑥, 𝑡)

    = 𝐿−1

    𝛼(

    1

    𝑠𝛼𝐿𝛼{−

    𝜕𝛼

    𝑢3(𝑥, 𝑡)

    𝜕𝑥𝛼+

    𝜕2𝛼

    𝑢3(𝑥, 𝑡)

    𝜕𝑥2𝛼}) = 0

    .

    .

    .

    (49)

    Finally, we can present the solution in local fractional seriesform as

    𝑢 (𝑥, 𝑡) = −𝑥3𝛼

    Γ (1 + 3𝛼)+

    𝑥2𝛼

    Γ (1 + 2𝛼)

    𝑡𝛼

    Γ (1 + 𝛼)

    −𝑥𝛼

    Γ (1 + 𝛼)

    𝑡𝛼

    Γ (1 + 𝛼)

    −𝑥𝛼

    Γ (1 + 𝛼)

    𝑡2𝛼

    Γ (1 + 2𝛼)+

    2𝑡2𝛼

    Γ (1 + 2𝛼)

    +𝑡3𝛼

    Γ (1 + 3𝛼).

    (50)

    (II) By Using LFLVIM. Using relation (18) we structure theiterative relation as

    𝐿𝛼{𝑢𝑛+1

    (𝑥, 𝑡)}

    = 𝐿𝛼{𝑢𝑛(𝑥, 𝑡)}

    −1

    𝑠𝛼𝐿𝛼{

    𝜕𝛼

    𝑢𝑛(𝑥, 𝑡)

    𝜕𝑡𝛼+

    𝜕𝛼

    𝑢𝑛(𝑥, 𝑡)

    𝜕𝑥𝛼−

    𝜕2𝛼

    𝑢𝑛(𝑥, 𝑡)

    𝜕𝑥2𝛼}

    = 𝐿𝛼{𝑢𝑛(𝑥, 𝑡)} −

    1

    𝑠𝛼(𝑠𝛼

    𝐿𝛼{𝑢𝑛(𝑥, 𝑡)} − 𝑢

    𝑛(𝑥, 0))

    −1

    𝑠𝛼𝐿𝛼{

    𝜕𝛼

    𝑢𝑛(𝑥, 𝑡)

    𝜕𝑥𝛼−

    𝜕2𝛼

    𝑢𝑛(𝑥, 𝑡)

    𝜕𝑥2𝛼} ,

    (51)

    where the initial value is given by

    𝐿𝛼{𝑢0(𝑥, 𝑡)} = 𝐿

    𝛼{−

    𝑥3𝛼

    Γ (1 + 3𝛼)} = −

    1

    𝑠𝛼

    𝑥3𝛼

    Γ (1 + 3𝛼). (52)

    Therefore, the successive approximations are

    𝐿𝛼{𝑢1(𝑥, 𝑡)} = 𝐿

    𝛼{𝑢0(𝑥, 𝑡)}

    −1

    𝑠𝛼(𝑠𝛼

    𝐿𝛼{𝑢0(𝑥, 𝑡)} − 𝑢

    𝑛(𝑥, 0))

    −1

    𝑠𝛼𝐿𝛼{

    𝜕𝛼

    𝑢0(𝑥, 𝑡)

    𝜕𝑥𝛼−

    𝜕2𝛼

    𝑢0(𝑥, 𝑡)

    𝜕𝑥2𝛼}

  • Journal of Mathematics 7

    = −1

    𝑠𝛼

    𝑥3𝛼

    Γ (1 + 3𝛼)+

    1

    𝑠2𝛼

    𝑥2𝛼

    Γ (1 + 2𝛼)−

    1

    𝑠2𝛼

    𝑥𝛼

    Γ (1 + 𝛼),

    𝐿𝛼{𝑢2(𝑥, 𝑡)} = 𝐿

    𝛼{𝑢1(𝑥, 𝑡)}

    −1

    𝑠𝛼(𝑠𝛼

    𝐿𝛼{𝑢1(𝑥, 𝑡)} − 𝑢

    1(𝑥, 0))

    −1

    𝑠𝛼𝐿𝛼{

    𝜕𝛼

    𝑢1(𝑥, 𝑡)

    𝜕𝑥𝛼−

    𝜕2𝛼

    𝑢1(𝑥, 𝑡)

    𝜕𝑥2𝛼}

    = −1

    𝑠𝛼

    𝑥3𝛼

    Γ (1 + 3𝛼)+

    1

    𝑠2𝛼

    𝑥2𝛼

    Γ (1 + 2𝛼)−

    1

    𝑠2𝛼

    𝑥𝛼

    Γ (1 + 𝛼)

    −1

    𝑠3𝛼

    𝑥𝛼

    Γ (1 + 3𝛼)+

    2

    𝑠3𝛼,

    𝐿𝛼{𝑢3(𝑥, 𝑡)} = 𝐿

    𝛼{𝑢2(𝑥, 𝑡)}

    −1

    𝑠𝛼(𝑠𝛼

    𝐿𝛼{𝑢2(𝑥, 𝑡)} − 𝑢

    2(𝑥, 0))

    −1

    𝑠𝛼𝐿𝛼{

    𝜕𝛼

    𝑢2(𝑥, 𝑡)

    𝜕𝑥𝛼−

    𝜕2𝛼

    𝑢2(𝑥, 𝑡)

    𝜕𝑥2𝛼}

    = −1

    𝑠𝛼

    𝑥3𝛼

    Γ (1 + 3𝛼)+

    1

    𝑠2𝛼

    𝑥2𝛼

    Γ (1 + 2𝛼)−

    1

    𝑠2𝛼

    𝑥𝛼

    Γ (1 + 𝛼)

    −1

    𝑠3𝛼

    𝑥𝛼

    Γ (1 + 3𝛼)+

    2

    𝑠3𝛼+

    1

    𝑠4𝛼,

    𝐿𝛼{𝑢4(𝑥, 𝑡)} = 𝐿

    𝛼{𝑢3(𝑥, 𝑡)}

    −1

    𝑠𝛼(𝑠𝛼

    𝐿𝛼{𝑢3(𝑥, 𝑡)} − 𝑢

    3(𝑥, 0))

    −1

    𝑠𝛼𝐿𝛼{

    𝜕𝛼

    𝑢3(𝑥, 𝑡)

    𝜕𝑥𝛼−

    𝜕2𝛼

    𝑢3(𝑥, 𝑡)

    𝜕𝑥2𝛼}

    = −1

    𝑠𝛼

    𝑥3𝛼

    Γ (1 + 3𝛼)+

    1

    𝑠2𝛼

    𝑥2𝛼

    Γ (1 + 2𝛼)−

    1

    𝑠2𝛼

    𝑥𝛼

    Γ (1 + 𝛼)

    −1

    𝑠3𝛼

    𝑥𝛼

    Γ (1 + 3𝛼)+

    2

    𝑠3𝛼+

    1

    𝑠4𝛼

    .

    .

    .

    (53)Hence, the local fractional series solution is

    𝑢 (𝑥, 𝑡) = lim𝑛→∞

    𝐿−1

    𝛼(𝐿𝛼{𝑢𝑛(𝑥, 𝑡)})

    = −𝑥3𝛼

    Γ (1 + 3𝛼)+

    𝑥2𝛼

    Γ (1 + 2𝛼)

    𝑡𝛼

    Γ (1 + 𝛼)

    −𝑥𝛼

    Γ (1 + 𝛼)

    𝑡𝛼

    Γ (1 + 𝛼)

    −𝑥𝛼

    Γ (1 + 𝛼)

    𝑡2𝛼

    Γ (1 + 2𝛼)+

    2𝑡2𝛼

    Γ (1 + 2𝛼)

    +𝑡3𝛼

    Γ (1 + 3𝛼).

    (54)

    5. Conclusions

    In this work solving Fokker Planck equation by using thelocal fractional Laplace decomposition method and localfractional Laplace variational iteration method with localfractional operators is discussed in detail. Three examples ofapplications of these methods are investigated. The reliableobtained results are complementary to the ones presented inthe literature.

    Conflict of Interests

    The author declares that there is no conflict of interestsregarding the publication of this paper.

    Acknowledgment

    Hassan Kamil Jassim acknowledges Ministry of Higher Edu-cation and Scientific Research in Iraq for its support to thiswork.

    References

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    [2] X. J. Yang, Advanced Local Fractional Calculus and Its Applica-tions, World Science Publisher, New York, NY, USA, 2012.

    [3] X. J. Yang, Local Fractional Functional Analysis and Its Applica-tions, Asian Academic Publisher, Hong Kong, 2011.

    [4] X.-J. Yang, H. M. Srivastava, J.-H. He, and D. Baleanu, “Cantor-type cylindrical-coordinate method for differential equationswith local fractional derivatives,” Physics Letters, Section A:General, Atomic and Solid State Physics, vol. 377, no. 28–30, pp.1696–1700, 2013.

    [5] K. M. Kolwankar and A. D. Gangal, “Local fractional Fokker-Planck equation,” Physical Review Letters, vol. 80, no. 2, pp. 214–217, 1998.

    [6] X. J. Yang andD. Baleanu, “Local fractional variational iterationmethod for Fokker-Planck equation on a Cantor set,” ActaUniversitaria, vol. 23, no. 2, pp. 3–8, 2013.

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    [8] H. Jafari and H. K. Jassim, “A coupling method of localfractional variational iteration method and yang-laplace trans-form for solving laplace equation on cantor sets,” InternationalJournal of Pure and Applied Sciences and Technology, vol. 26, no.1, pp. 24–33, 2015.

    [9] S.-Q. Wang, Y.-J. Yang, and H. K. Jassim, “Local fractionalfunction decomposition method for solving inhomogeneouswave equations with local fractional derivative,” Abstract andApplied Analysis, vol. 2014, Article ID 176395, 7 pages, 2014.

    [10] S.-P. Yan, H. Jafari, and H. K. Jassim, “Local fractional ado-mian decomposition and function decomposition methods forlaplace equation within local fractional operators,” Advances inMathematical Physics, vol. 2014, Article ID 161580, 7 pages, 2014.

    [11] H. Jafari and H. K. Jassim, “Local fractional series expansionmethod for solving Laplace and Schrödinger equations oncantor sets within local fractional operators,” International

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    [12] H. Jafari and H. K. Jassim, “Local fractional adomian decom-position method for solving two dimensional heat conductionequations within local fractional operators,” Journal of Advancein Mathematics, vol. 9, no. 4, pp. 2574–2582, 2014.

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