On Tempered and Substantial Fractional Calculus

Similar documents
Contraction Mapping Principle Approach to Differential Equations

Analytic solution of linear fractional differential equation with Jumarie derivative in term of Mittag-Leffler function

FRACTIONAL EULER-LAGRANGE EQUATION OF CALDIROLA-KANAI OSCILLATOR

GENERALIZATION OF SOME INEQUALITIES VIA RIEMANN-LIOUVILLE FRACTIONAL CALCULUS

LAGRANGIAN AND HAMILTONIAN MECHANICS WITH FRACTIONAL DERIVATIVES

Hermite-Hadamard-Fejér type inequalities for convex functions via fractional integrals

On the Pseudo-Spectral Method of Solving Linear Ordinary Differential Equations

Procedia Computer Science

ENGR 1990 Engineering Mathematics The Integral of a Function as a Function

Convergence of Singular Integral Operators in Weighted Lebesgue Spaces

LAPLACE TRANSFORM OVERCOMING PRINCIPLE DRAWBACKS IN APPLICATION OF THE VARIATIONAL ITERATION METHOD TO FRACTIONAL HEAT EQUATIONS

On Hadamard and Fejér-Hadamard inequalities for Caputo k-fractional derivatives

Positive and negative solutions of a boundary value problem for a

e t dt e t dt = lim e t dt T (1 e T ) = 1

Probability, Estimators, and Stationarity

EXISTENCE AND UNIQUENESS OF SOLUTIONS FOR A SECOND-ORDER ITERATIVE BOUNDARY-VALUE PROBLEM

Fractional Calculus. Connor Wiegand. 6 th June 2017

Solutions for Nonlinear Partial Differential Equations By Tan-Cot Method

NEW FRACTIONAL DERIVATIVES WITH NON-LOCAL AND NON-SINGULAR KERNEL Theory and Application to Heat Transfer Model

New Inequalities in Fractional Integrals

Green s Functions and Comparison Theorems for Differential Equations on Measure Chains

Research Article Generalized Fractional Integral Inequalities for Continuous Random Variables

1. Introduction. 1 b b

MTH 146 Class 11 Notes

Asymptotic relationship between trajectories of nominal and uncertain nonlinear systems on time scales

FRACTIONAL-order differential equations (FDEs) are

2k 1. . And when n is odd number, ) The conclusion is when n is even number, an. ( 1) ( 2 1) ( k 0,1,2 L )

Solutions to Problems from Chapter 2

Application on Inner Product Space with. Fixed Point Theorem in Probabilistic

ON THE OSTROWSKI-GRÜSS TYPE INEQUALITY FOR TWICE DIFFERENTIABLE FUNCTIONS

3. Renewal Limit Theorems

INTEGRALS. Exercise 1. Let f : [a, b] R be bounded, and let P and Q be partitions of [a, b]. Prove that if P Q then U(P ) U(Q) and L(P ) L(Q).

Research Article New General Integral Inequalities for Lipschitzian Functions via Hadamard Fractional Integrals

A new model for solving fuzzy linear fractional programming problem with ranking function

SOLUTION FOR A SYSTEM OF FRACTIONAL HEAT EQUATIONS OF NANOFLUID ALONG A WEDGE

Chapter 2. Motion along a straight line. 9/9/2015 Physics 218

Average & instantaneous velocity and acceleration Motion with constant acceleration

f t f a f x dx By Lin McMullin f x dx= f b f a. 2

Soliton Scattering on the External Potential in Weakly Nonlocal Nonlinear Media

A LIMIT-POINT CRITERION FOR A SECOND-ORDER LINEAR DIFFERENTIAL OPERATOR IAN KNOWLES

0 for t < 0 1 for t > 0

Chapter Direct Method of Interpolation

Fractional operators with exponential kernels and a Lyapunov type inequality

5.1-The Initial-Value Problems For Ordinary Differential Equations

HUI-HSIUNG KUO, ANUWAT SAE-TANG, AND BENEDYKT SZOZDA

Yan Sun * 1 Introduction

Research Article The General Solution of Differential Equations with Caputo-Hadamard Fractional Derivatives and Noninstantaneous Impulses

How to Prove the Riemann Hypothesis Author: Fayez Fok Al Adeh.

( ) ( ) ( ) ( ) ( ) ( y )

On The Hermite- Hadamard-Fejér Type Integral Inequality for Convex Function

ON THE STABILITY OF DELAY POPULATION DYNAMICS RELATED WITH ALLEE EFFECTS. O. A. Gumus and H. Kose

Abstract. W.W. Memudu 1 and O.A. Taiwo, 2

A Time Truncated Improved Group Sampling Plans for Rayleigh and Log - Logistic Distributions

Numerical Approximations to Fractional Problems of the Calculus of Variations and Optimal Control

Chapter 2. First Order Scalar Equations

September 20 Homework Solutions

How to prove the Riemann Hypothesis

RESPONSE UNDER A GENERAL PERIODIC FORCE. When the external force F(t) is periodic with periodτ = 2π

4.8 Improper Integrals

FRACTIONAL ORNSTEIN-UHLENBECK PROCESSES

CALDERON S REPRODUCING FORMULA FOR DUNKL CONVOLUTION

A Kalman filtering simulation

FRACTIONAL KINETICS. Until about 10 years ago, expressions involving fractional

Some Inequalities variations on a common theme Lecture I, UL 2007

FURTHER GENERALIZATIONS. QI Feng. The value of the integral of f(x) over [a; b] can be estimated in a variety ofways. b a. 2(M m)

ON NEW INEQUALITIES OF SIMPSON S TYPE FOR FUNCTIONS WHOSE SECOND DERIVATIVES ABSOLUTE VALUES ARE CONVEX

Chapter 2: Evaluative Feedback

Mathematics 805 Final Examination Answers

An Integral Two Space-Variables Condition for Parabolic Equations

Fractional Euler-Lagrange Equations Applied to Oscillatory Systems

Approximation and numerical methods for Volterra and Fredholm integral equations for functions with values in L-spaces

..,..,.,

IX.2 THE FOURIER TRANSFORM

TEACHING STUDENTS TO PROVE BY USING ONLINE HOMEWORK Buma Abramovitz 1, Miryam Berezina 1, Abraham Berman 2

New Energy-Preserving Finite Volume Element Scheme for the Korteweg-de Vries Equation

Think of the Relationship Between Time and Space Again

Research Article An Expansion Formula with Higher-Order Derivatives for Fractional Operators of Variable Order

Systems Variables and Structural Controllability: An Inverted Pendulum Case

Journal of Mathematical Analysis and Applications. Two normality criteria and the converse of the Bloch principle

Motion. Part 2: Constant Acceleration. Acceleration. October Lab Physics. Ms. Levine 1. Acceleration. Acceleration. Units for Acceleration.

An analytic solution for one-dimensional quantum walks

IX.1.1 The Laplace Transform Definition 700. IX.1.2 Properties 701. IX.1.3 Examples 702. IX.1.4 Solution of IVP for ODEs 704

Integral Transform. Definitions. Function Space. Linear Mapping. Integral Transform

An integral having either an infinite limit of integration or an unbounded integrand is called improper. Here are two examples.

Temperature Rise of the Earth

LAPLACE TRANSFORMS. 1. Basic transforms

The Dynamics of Two Harvesting Species with variable Effort Rate with the Optimum Harvest Policy

Vehicle Arrival Models : Headway

FM Applications of Integration 1.Centroid of Area

A new model for limit order book dynamics

Class Meeting # 10: Introduction to the Wave Equation

Minimum Squared Error

Development of a New Scheme for the Solution of Initial Value Problems in Ordinary Differential Equations

ON NEW INEQUALITIES OF SIMPSON S TYPE FOR FUNCTIONS WHOSE SECOND DERIVATIVES ABSOLUTE VALUES ARE CONVEX.

The solution is often represented as a vector: 2xI + 4X2 + 2X3 + 4X4 + 2X5 = 4 2xI + 4X2 + 3X3 + 3X4 + 3X5 = 4. 3xI + 6X2 + 6X3 + 3X4 + 6X5 = 6.

Number variance from a probabilistic perspective: infinite systems of independent Brownian motions and symmetric α-stable processes.

MAT 266 Calculus for Engineers II Notes on Chapter 6 Professor: John Quigg Semester: spring 2017

IX.1.1 The Laplace Transform Definition 700. IX.1.2 Properties 701. IX.1.3 Examples 702. IX.1.4 Solution of IVP for ODEs 704

15/03/1439. Lecture 4: Linear Time Invariant (LTI) systems

Essential Microeconomics : OPTIMAL CONTROL 1. Consider the following class of optimization problems

Transcription:

On Tempered nd Subsnil Frcionl Clculus Jiniong Co,2, Chngpin Li nd YngQun Chen 2, Absrc In his pper, we discuss he differences beween he empered frcionl clculus nd subsnil frcionl operors in nomlous diffusion modelling, so h people cn beer undersnd he wo frcionl operors. We rs inroduce he de niions of empered nd subsnil frcionl operors, nd hen nlyze he properies of wo de niions. A ls, we prove h he empered frcionl derivive nd subsnil derivive re equivlen under some condiions. A diffusion problem de ned by using empered derivive is lso given o illusre he slow convergence of n nomlous diffusion process. Keywords Frcionl clculus, Tempered frcionl clculus, Subsnil frcionl clculus, Anomlous diffusion I. INTRODUCTION The process of nomlous diffusion is one of common phenomen in nure, nd he coninuous ime rndom wlks (CTRWs frmework [] is useful ool o describe his phenomenon. The CTRWs re ofen governed by he wiing ime probbiliy densiy funcion (PDF nd jump lengh PDF. When he PDFs re power lw, he nomlous rnspor process cn be depiced by frcionl diffusion equions. While he PDFs re eponenilly empered power lw, hen empered nomlous diffusion models re derived in [2 8]. As Meerscher [9] poined ou, empered sble processes re he limis of rndom wlk models where he power lw probbiliy of long jumps is empered by n eponenil fcor. These rndom wlks converge o empered sble sochsic process limis, whose probbiliy densiies solve empered frcionl diffusion equions. Tempered power lw wiing imes led o empered frcionl ime derivives, which hve proven useful in geophysics. Meerscher e l. proposed empered diffusion model o cpure he slow convergence of subdiffusion [6]. Beumer nd Meerscher sudied empered sble Lévy moion in [2], hey proposed nie difference nd pricle rcking mehods o solve he empered frcionl diffusion equion wih drif. In view of he ef ciency of empered frcionl clculus in describing eponenilly empered power lw behvior nd is vrins, i hs rced mny reserchers o sudy numericl mehods o solve hese problems. Beumer nd Meerscher [2] derived nie difference nd pricle rcking mehods. Cre e l. [] presened generl nie difference scheme o numericlly solve Blck-Meron-Scholes model wih empered frcionl derivives. Momoni nd Deprmen of Mhemics, Shnghi Universiy, Shnghi 2444, Chin (lcp@shu.edu.cn 2 School of Engineering, Universiy of Cliforni, Merced, CA 95343, USA (yqchen@ieee.org, yngqun.chen@ucmerced.edu Corresponding uhor. Tel. (292284672; F: (29228447 Momoni [] compre he numericl soluions of hree kinds of frcionl Blck-Meron-Scholes equions wih empered frcionl derivives. Recenly, high order numericl scheme for empered diffusion equion is presened in [2]. However, numericl lgorihms for solving hese problems re limied. As n eension of he concep of CTRWs o phse spce, Friedrich e l. derived new frcionl Krmers Fokker Plnck equion [3], which involved frcionl subsnil derivive, i hs imporn nonlocl couplings in boh ime nd spce. In 2, bsed on he CTRW models wih coupling PDFs, Crmi nd Brki obined deerminisic equion by using frcionl subsnil derivive [4]. The properies nd numericl discreizions of he frcionl subsnil operors re recenly discussed in [5]. To our bes knowledge, wheher he empered frcionl operors [3] or he frcionl subsnil operors [3] is origined from he empered funcion spce. Moived by his, we ry o le people know he relionship of hese wo frcionl operors. The work is orgnized s follows. In Secion II, we inroduce hree common used de niions of frcionl inegrls nd derivives. Two clsses of frcionl operors clled empered nd subsnil operors re inroduced in Secion III. Numericl eperimen is crried ou o show he effeciveness of empered model in describing eponenilly empered powerlw behvior. Finlly, we conclude he pper in he ls secion. II. PRELIMINARIES In his secion, we give some preliminries bou frcionl clculus. There re sverl differen de niions of frcionl derivives, bu he mos frequenly used re he following hree de niions, i.e. Grünwld Lenikov derivive, he Riemnn Liouville derivive nd he Cpuo derivive [6 2]. We inroduce he de niions in he following wy. De niion II.. The frcionl inegrl of order α> for funcion f( is de ned by D α f( Γ(α ( s α f(sds, ( where Γ( is he Euler s funcion. De niion II.2. The lef nd righ Grünwld Lenikov derivives of order α> of f( re de ned s GLD α, f( lim h Nh h α N j ( j ( α j f( jh, (2 978--4799-228-2/4/$3. 24 IEEE

nd GLD α,b f( lim h Nhb h α N j ( j ( α j f( + jh, (3 respecively. De niion II.3. Suppose h f( be (n -imes coninuously differenible on (,, nd is n-imes derivives be inegrble on ny subinervl [,. Then he lef Riemnn- Liouville derivive of order α> of f( is de ned by [ ] RLD, α dn f( d n D (n α f( d n (4 Γ(n α d n ( s n α f(sds, nd he righ Riemnn-Liouville frcionl derivive is de ned s d n RLD,bf( α ( n Γ(n α d n (s n α f(sds, (5 respecively, where n is nonnegive ineger nd n α<n. De niion II.4. Assume h f( be (n -imes coninuously differenible on (,, nd is n-imes derivives be inegrble on ny subinervl [,. Then he lef Cpuo frcionl derivive of order α> for f( is de ned s [ ] CD,f( α D (n α f (n ( (6 ( s n α f (n (sds, Γ(n α b nd he righ Cpuo derivive is de ned by b CD,b α f( ( n (s n α f (n (sds, (7 Γ(n α respecively, where n is nonnegive ineger nd n < α<n. III. DEFINITIONS OF TEMPERED AND SUBSTANTIAL FRACTIONAL CALCULUS In his secion, we will inroduce he de niions nd noions of empered nd subsnil frcionl operors. Then we discuss he relions beween hem. A. De niions of he empered frcionl operors De niion III.. [3, 2] Suppose h f( is piecewise coninuous on [, nd inegrble on ny nie subinervl of [,, α>, λ. Then The lef Riemnn-Liouville empered frcionl inegrl of order α of funcion f( is de ned by RLD α,λ, f( Γ(α e λ( τ ( τ α f(τdτ. 2 The righ Riemnn-Liouville empered frcionl inegrl of order α for f( is de ned s b RLD α,λ b, f( e λ(τ (τ α f(τdτ. Γ(α De niion III.2. [3, 2] Le f( be (n -imes coninuously differenible on (,, nd is n-imes derivives be inegrble on ny subinervl [,. Then he lef empered frcionl derivive of order α> for given funcion f( is de ned s, f( (e λ RLD, α eλ f( e λ d n Γ(n α d n ( τ n α e λτ f(τdτ, (8 nd he righ empered frcionl derivive is de ned s,b f( (eλ RLD,be α λ f( ( n e λ d n b Γ(n α d n (τ n α e λτ f(τdτ, (9 respecively, where n is nonnegive ineger nd n α<n. Remrk III.. If λ, he lef nd righ Riemnn-Liouville empered frcionl derivives reduce o he lef nd righ Riemnn-Liouville frcionl derivives de ned in De niion II.3. Remrk III.2. The vrins of he lef nd righ Riemnn- Liouville empered frcionl derivives re de ned s [2, 2, 22] {, f( λ α f(, <α<,, f(, f( αλα f( λ α f(, <α<2, ( nd,b f( {,b f( λα f(, <α<,,b f( αλα f( λ α f(, <α<2, ( respecively, where represens he clssicl rs derivive operor. B. Subsnil frcionl operors De niion III.3. [3, 5] Le f( be piecewise coninuous on [, nd inegrble on ny nie subinervl of [,. Then he frcionl subsnil inegrl of order α> for f( is de ned by Ds α f( e λ( τ ( τ α f(τdτ, Γ(α where λ cn be consn or funcion no reled o. De niion III.4. [3, 5] Suppose h α>, f( be (n - imes coninuously differenible on (,, nd is n-imes derivives be inegrble on ny subinervl [,. Then he

subsnil frcionl derivive of order α>for f( is de ned by ( Ds α f( Ds n Ds (n α f(, where Ds n ( d d + λ n. Remrk III.3. If λ, i is cler h De niion III. is equivlen o De niion III.3. Theorem III.. In De niion III.4, if λ is posiive consn, hen he empered nd subsnil derivives re equivlen. Proof: Wihou loss of generliy, we ke <α< in De niion (8 nd De niion III.4, hen he lef Riemnn- Liouville empered derivive is, f( e λ d Γ( α d e λτ ( τ α f(τdτ, (2 nd he subsnil derivive becomes ( Ds α d f( Γ( α d + λ e λ( τ ( τ α f(τdτ d (e λ e λτ ( τ α f(τdτ Γ( α d λ + e λ( τ ( τ α f(τdτ Γ( α λ e λ( τ ( τ α f(τdτ Γ( α + e λ d e λτ ( τ α f(τdτ Γ( α d λ + e λ( τ ( τ α f(τdτ Γ( α e λ d e λτ ( τ α f(τdτ. Γ( α d (3 The proof ends. De niion III.5. [23, 24] The lef nd righ generlized frcionl inegrl of order α > of funcion f( wih respec o noher funcion z( nd weigh w( re de ned in he following wy (I α,+;[z;w] f ( [w(] Γ(α w(τz (τf(τ dτ, (4 [z( z(τ] α nd (I b, ;[z;w] α f ( [w(] b w(τz (τf(τ dτ, (5 Γ(α [z(τ z(] α respecively. Remrk III.4. If we ke z(, w( e λ, hen he lef nd righ generlized inegrls reduce o he lef nd righ empered frcionl inegrls. IV. NUMERICAL SIMULATION In his secion, bsed on he discussion of empered nd subsnil derivives, we use nie difference mehod o solve empered diffusion problem. Emple IV.. Solve he following empered frcionl diffusion equion u(, RL D.5,λ, u(, +f(,, <<, <<, (6 wih he iniil nd boundry condiions: u(,, u(,,u(,e λ,wheref(, 2e λ 2.5 Γ(3.5 2 2 e λ 2. The nlyicl soluion of Eq. (6 is u(, e λ 2.5 2. For he numericl soluion of Eq. (6, le k kδ, k,, 2,..., N, i ih, i,, 2,..., M, whereδ T N nd h L M re he ime, spce seps, respecively. The rs-order derivive u(, mesh poin ( i, k cn be pproimed by he following bckwrd difference mehod u( i, k u( i, k u( i, k + O(Δ, (7 Δ hen, we use shifed Grünwld Lenikov formule o pproime frcionl subsnil derivive erm in Eq. (6 i+ Ds α u( i, k h α m g,α m u( i m+, k +O(h. (8 Le u k i be he pproime soluion of u( i, k,ndfi k f( i, k, subsiuing he Eqs. (7 nd (8 ino Eq. (6, nd denoing η K Δ h, we obin he following implici nie α difference scheme for Eq. (6 u k i u k i + η i+ m gm,α u k i m+ +Δf k i, i M, k N u i, i M, u k φ ( k, u k M φ 2 ( k, k N. (9 Theorem IV.. The locl runcion error of difference scheme (9 is O(τ + h. Proof: According o (6, (7 nd (8, we de ne he locl runcion error Ri k of difference scheme (9 s below: R k i u( i, k u( i, k Δ f( i, k [ u(i, k i+ Kh α m u( ] i, k u( i, k Δ i+ + K(Ds α u( i, k h α m O(τ+KO(h O(τ + h. g,α m u( i m+, k g,α m u( i m+, k

The proof ends. Le λ,.5,., he nlyicl nd numericl soluions re displyed in Fig.. I cn be seen h he numericl soluions he nlyicl soluions very well. When λ, he equion (6 reduces o he Riemnn Liouville diffusion equion, Fig. ( nd (b show h soluion pek is high. For λ.5 nd λ., he soluion re ploed in Fig. (c, (d nd Fig. (e, (f, respecively. From Fig., we cn see h he pek of he soluions of empered diffusion equion becomes more nd more smooh s eponenil fcor λ increses. V. CONCLUSION In his pper, we inroduce wo clsses of frcionl operors for nomlous diffusion, nd furher discuss he properies of empered nd subsnil derivives. We obin heorem on wo de niions under some condiions. I is esy o conclude h empered nd subsnil frcionl clculus re he generlizion of frcionl clculus, nd boh of hem re specil cses of generlized frcionl clculus. Alhough subsnil derivive is equivlen o empered derivive when he prmeer λ, hey re inroduced from differen physicl bckgrounds. Mhemiclly he frcionl subsnil clculus is ime-spce coupled operor bu he empered frcionl clculus is no. However, he empered frcionl operors re he more commonly used in runced eponenil power lw descripion. ACKNOWLEDGMENT The work ws prilly suppored by he Nurl Science Foundion of Chin under Grn No. 3727, he Key Progrm of Shnghi Municipl Educion Commission under Grn No. 2ZZ84 nd Chin Scholrship Council. REFERENCES [] Rlf Mezler nd Joseph Klfer, The rndom wlk s guide o nomlous diffusion: frcionl dynmics pproch, Physics repors, vol. 339, no., pp. 77, 2. [2] Boris Beumer nd Mrk M. Meerscher, Tempered sble Lévy moion nd rnsien super-diffusion, Journl of Compuionl nd Applied Mhemics, vol. 233, no., pp. 2438 2448, 2. [3] Álvro Cre nd Diego del Csillo-Negree, Fluid limi of he coninuous-ime rndom wlk wih generl Lévy jump disribuion funcions, Physicl Review E, vol. 76, no. 4, pp. 45, 27. [4] I. M. Sokolov, A. V. Chechkin, nd J. Klfer, Frcionl diffusion equion for power-lw-runced Lévy process, Physic A: Sisicl Mechnics nd is Applicions, vol. 336, no. 3, pp. 245 25, 24. [5] A Kullberg nd D del Csillo-Negree, Trnspor in he spilly empered, frcionl Fokker Plnck equion, Journl of Physics A: Mhemicl nd Theoreicl, vol. 45, no. 25, pp. 255, 22. [6] Mrk M. Meerscher, Yong Zhng, nd Boris Beumer, Tempered nomlous diffusion in heerogeneous sysems, Geophysicl Reserch Leers, vol. 35, no. 7, 28. [7] Ariji Chkrbry nd Mrk M. Meerscher, Tempered sble lws s rndom wlk limis, Sisics & Probbiliy Leers, vol. 8, no. 8, pp. 989 997, 2. [8] Dumiru Blenu, Frcionl Clculus: Models nd Numericl Mehods, vol. 3, World Scieni c, 22. [9] Frzd Sbzikr, Mrk M Meerscher, nd Jinghu Chen, Tempered frcionl clculus, Journl of Compuionl Physics, 24. [] Alvro Cre nd Diego del Csillo-Negree, Frcionl diffusion models of opion prices in mrkes wih jumps, Physic A: Sisicl Mechnics nd is Applicions, vol. 374, no. 2, pp. 749 763, 27. [] O. Mrom nd E. Momoni, A comprison of numericl soluions of frcionl diffusion models in nnce, Nonliner Anlysis: Rel World Applicions, vol., no. 6, pp. 3435 3442, 29. [2] Cn Li nd Weihu Deng, High order schemes for he empered frcionl diffusion equions, rxiv preprin rxiv:42.64, 24. [3] R. Friedrich, F. Jenko, A. Bule, nd S. Eule, Anomlous diffusion of ineril, wekly dmped pricles, Physicl review leers, vol. 96, no. 23, pp. 236, 26. [4] Shi Crmi nd Eli Brki, Frcionl Feynmn-Kc equion for wek ergodiciy breking, Physicl Review E, vol. 84, no. 6, pp. 64, 2. [5] Minghu Chen nd Weihu Deng, Discreized frcionl subsnil clculus, rxiv preprin rxiv:3.386, 23. [6] Keih B. Oldhm nd Jerome Spnier, The frcionl clculus: heory nd pplicions of differeniion nd inegrion o rbirry order, vol., Acdemic press New York, 974. [7] Igor Podlubny, Frcionl differenil equions: n inroducion o frcionl derivives, frcionl differenil equions, o mehods of heir soluion nd some of heir pplicions, vol. 98, Acdemic Press, 998. [8] Anolii Aleksndrovich Kilbs, Hri Mohn Srivsv, nd Jun J. Trujillo, Theory nd pplicions of frcionl differenil equions, vol. 24, Elsevier Science Limied, 26. [9] Chngpin Li nd Weihu Deng, Remrks on frcionl derivives, Applied Mhemics nd Compuion,vol. 87, no. 2, pp. 777 784, 27. [2] Chngpin Li, Deling Qin, nd YngQun Chen, On riemnn-liouville nd cpuo derivives, Discree Dynmics in Nure nd Sociey, vol. 2, 2. [2] Chngpin Li nd Fnhi Zeng, Finie difference mehods for frcionl differenil equions, Inernionl Journl of Bifurcion nd Chos, vol. 22, no. 4, 22. [22] Mrk M. Meerscher nd Frzd Sbzikr, Tempered

.8.8 Numericl soluion Ec soluion.6.4.2.6.4.2.5.2.4.6.8.5.8.8.6.4.2.6.4.2.2.4.6.8.5 (c.2.4.6.8 (d.8.8 Numericl soluion Ec soluion.4.5.6.4.2.6.4.2.5.2.4.6 (e Fig...2.8 (b Numericl soluion Ec soluion (.6 The comprision beween ec nd numericl soluions.8.5 (f.2.4.6.8

frcionl Brownin moion, Sisics & Probbiliy Leers, vol. 83, no., pp. 2269 2275, 23. [23] Virgini S Kirykov, Generlized frcionl clculus nd pplicions, CRC Press, 993. [24] Om P. Agrwl, Some generlized frcionl clculus operors nd heir pplicions in inegrl equions, Frcionl Clculus nd Applied Anlysis, vol. 5, no. 4, pp. 7 7, 22.