Return to Article Details Solution to unsteady fractional heat conduction in the quarter-plane via the joint Laplace-Fourier sine transforms

Solution to unsteady fractional heat conductionin the quarter-plane via the joint Laplace-Fourier sine transforms

Arman Aghili

August 29, 2021; accepted: September 10, 2021; published online: November 8, 2021.

In this article, the author implemented the joint transform method, for solving the boundary value problems of time fractional heat equation. We also used methods of operational nature to solve a Fokker-Planck equation with non-constant coefficients. The results reveal that the integral transform method is reliable and efficient. Some illustrative non-trivial examples are also provided.

MSC. 44A10; 42B10; 33C10; 44A20.

Keywords. Laplace transform; Fourier transform; Hankel transform; Riemann-Liouville fractional derivative; Caputo fractional derivative; Modified Bessel functions; Stieltjes transform; Heat conduction; Fokker-Planck equation; Laguerre derivative.

University of Guilan, Faculty of Mathematical Sciences, Department of Applied Mathematics, Iran - Rasht P.O. Box 1841, e-mail: arman.aghili@gmail.com.

1 Introduction and Preliminaries

In this study, the author provided mathematical results that are useful to the researchers in a variety of fields. This article is devoted to studying and application of the joint Laplace-Fourier sine transform for solving time fractional diffusion equation in the quarter-plane. We also consider a Fokker-Planck equation with variable coefficients. We provided methods and results for a partial fractional differential equations which arise in applications. So far, different methods of solution have been introduced to solve partial fractional differential equations, the Laplace transform method, [ 1 ] [ 2 ] , [ 3 ] , the Fourier transform method [ 10 ] , operational method [ 4 ] , [ 6 ] . We provided methods and results for a partial fractional differential equations which arise in applications. Different methods of solution have been introduced to solve partial fractional differential equations, the Laplace transform method, [ 1 ] , [ 2 ] , [ 3 ] , the Fourier transform method [ 10 ] , operational method [ 4 ] , [ 6 ] . The diffusion equation describes the flow of heat, or a concentration of particles. In [ 11 ] , the author considered the time fractional radial diffusion in a cylinder by using the joint Laplace-finite Hankel transforms https://www.overleaf.com/project/6148a908e65ae2a25915fa5d method. In [ 12 ] , the authors considered the time-fractional diffusion-wave equation. The corresponding Green’s function was obtained in closed form for arbitrary space dimension in terms of Fox H-functions.

Remark 1.1

In [ 9 ] , the authors summarize the essential definitions and notations for the Fox H-functions.They also provide for the general Green function a representation in terms of Mellin–Barnes integrals and, consequently, in terms of Fox H-functions. â–¡

1.1 Definitions and Notations

Definition 1.2

The left Riemann-Liouville fractional derivative of order α (0<α<1) of ϕ(t) is defined as follows [ 10 ]

Da,tRL,αϕ(t)=1Γ(1α)ddtat1(tξ)αϕ(ξ)dξ.
1.1
Definition 1.3

The left Caputo fractional derivative of order α (0<α<1) of ϕ(t) is defined as follows [ 10 ]

Da,tC,αϕ(t)=1Γ(1α)at1(tξ)αϕ(ξ)dξ.
It should be pointed out that in the literature, the Riemann-Liouville and the Caputo fractional derivatives generally mean the left Riemann-Liouville and the left Caputo derivatives, respectively.

Let us recall some definitions and properties that are related to the classical continuous Fourier transform.

Definition 1.4

The Fourier transform of the function f(x), and <x<+ is defined as follows

F{f(x)}=12π+eiωxf(x)dx:=F(ω).

If F{f(x)}=F(ω), then the inverse Fourier transform F1{F(ω)} is given by

f(x)=12π+eixωF(ω)dω.
Lemma 1.5

The following identities hold true.

  1. F1(1a2exp(ω24a2))=exp(a2x2),

  2. F1(2πaa2+ω2)=exp(a|x|),

  3. F1(2π2aiω(a2+ω2)2)=xexp(a|x|),

  4. F1(i2πΓ(1δ)|ω|1δcos(πδ2))=|x|δsgn(x).

Proof â–¼
See [ 8 ] .

In the sequel a new class of the inverse Fourier transforms of exponential functions involving square roots are determined. Inverse Fourier transforms involving square roots arise in many areas of applied mathematics and mathematical physics.

Lemma 1.6

The following identity holds true

F1[etω2+2iλω+k2ω2+2iλω+k2;ωx]=2πeλxK0((x2+t2)(k2+λ2)).

Proof â–¼
Let us assume that
F(ω)=e(tω2+2iλω+k2)ω2+2iλω+k2.

Let us consider the following well-known elementary integral

0+e(a2x2b2x2)dx=π2ae2ab.

In view of the above integral, F(ω) can be written as follows

F(ω)=2π[πe2(t2ω2+2iλω+k2)2ω2+2iλω+k2]=2π0+e(ω2+2iλω+k2)ξ2t24ξ2dξ.

Upon using Fourier inversion formula, we arrive at

F1(F(ω))=f(x)=12π+eixω(2π0+e(ω2+2iλω+k2)ξ2t24ξ2dξ)dω,

changing the order of integration, we get the following

f(x)=2π0+ek2ξ2t24ξ2(12π+ei(x+2λξ2)ωξ2ω2dω)dξ,

after evaluating the inner integral by using first part of the lemma 1.5, we have

f(x)=2π0+ek2ξ2t24ξ2(1ξ2)e(x+2λξ2)24ξ2dξ,

at this stage, if we make the simple change of variable ξ2=θ in the above integral, after simplifying we obtain

f(x)=eλxπ0+e(λ2+k2)θ0.5(t2+x2)θdθ2θ,


by means of the following integral representation for the modified Bessel’s function of the second kind of order zero (Macdonald’s function)

K0(2pq)=0+e(pξ+qξ)dξ2ξ,

we have finally

f(x)=2πeλxK0((t2+x2)(λ2+k2)).

Corollary 1.7

The following identity holds true

F1[etω2+k2ω2+k2;ωx]=2πK0(k(x2+t2)).
Proof â–¼
In the above lemma 1.6 let us choose λ=0 we get the desired identity.
Proof â–¼

Corollary 1.8

The following integral identity holds true

+e(tω2+2iλω+k2)ω2+2iλω+k2dω=2K0(t(k2+λ2)).

Proof â–¼
In the above lemma 1.6, if we take x=0 we arrive at the result.
Proof â–¼
Corollary 1.9

The following identity holds true

F1[etω2+2iλω+k2ω2+2iλω+k2;ωx]=2πeλx1+eη(λ2+k2)(t2+x2)dηη21.

Proof â–¼
Let us recall an integral representation for the modified Bessel’s function of order zero
K0(ξ)=0+eξcoshϕdϕ.

At this point, let us choose ξ=(k2+λ2)(t2+x2) and making a change of variable coshϕ=η, we get

K0(ξ)=K0((t2+x2)(k2+λ2))=1+eη(t2+x2)(k2+λ2)dηη21.

By replacing the above integral on the right hand side of the corollary 1.7 we obtain

F1[etω2+2iλω+k2ω2+2iλω+k2;ωx]=2πeλx1+eη(λ2+k2)(t2+x2)dηη21.

Remark 1.10

In the above relation, let us choose k=0, then we get the following relation

F1[etω2+2iλωω2+2iλω;ωx]=2πeλx1+eηλ(t2+x2)dηη21.

Note. To the best of the author’s knowledge, in the literature the same result is obtained by using complex integration around a complicated key-hole contour in the complex plane.

Definition 1.11

The Laplace transform of the function f(t), 0<t<+
is defined as follows

L{f(t)}=0estf(t)dt:=F(s).

If L{f(t)}=F(s), then L1{F(s)} is given by

f(t)=12πicic+iestF(s)ds=k=1nRes[etsF(s);s=sk].

where F(s) is analytic in the region Re(s)>c with finite number of isolated singularities in the complex-plane and s is a complex number with positive real part. This complex integral can be evaluated by using an appropriate contour in the complex plane, with the parameter c chosen to take into account the analytic structure of the integrand, such as the presence of any poles and branch cuts. The expression in 1.5 is the inverse Laplace transform for the function F(s), and is often called the Bromwich integral.

Lemma 1.12 Gross-Levi

Let us assume that L[f(t);ts]=F(s) and F(s)=F(reiϕ), |ϕ|<π and 0+|F(reiϕ)|2dr<+ , then we have the following inversion formula

f(t)=1π0+etrIm[limϕπF(reiϕ)]dr.

Proof â–¼
See [ 5 ] .

The most important use of the Caputo fractional derivative is treated in initial value problems where initial conditions are expressed in terms of integer order derivatives. In this respect, it is interesting to know the Laplace transform of this kind of derivative. In the following lemma, Laplace transform of the Caputo fractional derivatives of order non integer α is given.

Lemma 1.13

We have the following relations

L{D0,tC,αf(t)}=sαF(s)sα1f(0+),0<α<1.

and generally

L{D0,tC,αf(t)}=sαF(s)k=0k=m1sα1kfk(0+),m1<α<m.

Proof â–¼
See [ 7 ] .

The Laplace transform provides a useful technique for the solution of such fractional singular integro-differential equations.

Lemma 1.14

Let L{f(t)}=F(s), then the following identities hold true.

  1. L1[F(sα);st)]=

    =1π0+f(u)(0+etrurαcosαπsin(urαsinαπ)dr)du.

  2. L1(eks)=k(2π)0esξk24ξdξ

  3. eωsα=1π0erα(ωcosαπ)sin(ωrαsinαπ)(0esτrτdτ)dr

Proof â–¼
See [ 1 ] , [ 2 ] .

Definition 1.15

The Stieltjes transform (i.e. the second iterate of the Laplace transform) of a function ψ(t):R+C is defined by means of the following relation

S[ψ](s)=L[L[ψ(t);p];s]=0+ψ(t)t+sdt=Ψ(s).

Provided that the integral exists.

We have the following inversion formula for the Stieltjes transform [ 5 ] ,

S1[Ψ(s);st]=1πIm[limsteiπΨ(s)],
Lemma 1.16

The following integral identity holds true.

0+etKν(t)(t+ξ)tdt=eξξKν(ξ).
Proof â–¼
The left hand side of the above identity can be written in terms of the Stieltjes transform (i.e. the second itrate of the Laplace transform) of a function as below
L[L[etKν(t)t;tη];ηξ]=S[etKν(t)t;tξ]=πeξcos(πν)ξKν(ξ).

Equivalently, we need to show that

etKν(t)t=S1[πeξcos(πν)ξKν(ξ);ξt].

At this point, let us evaluate the right hand side by means of the inversion formula for the Stieltjes transform [ 5 ] as follows

S1[eξξKν(ξ);ξt]=1πIm[limξteiππeξKν(ξ)cos(πν)ξ],

after simplifying we get

S1[πeξcos(πν)ξKν(ξ);ξt]=1πIm[πetKν(t)icos(πν)t]=Im[ietKν(t)cos(πν)t].

Let us use the well-known identity for the Macdonal’s function as below

Kν(t)=eiπνKν(t)=(cosπν+isinπν)Kν(t),

hence, we have

S1[πeξcos(πν)ξKν(ξ);ξt]=Im[et(icosπνsinπν)Kν(t)cos(πν)t]=etKν(t)t.

Proof â–¼

The operational methods provide a fast and universal mathematical tool for obtaining the solution of partial differential equations. The most commonly exponential operators which act on the function Ψ(t) are as follows.

Lemma 1.17

The following exponential identities hold true.

  1. exp(±λddt)Ψ(t)=Ψ(t±λ)

  2. exp(±λtddt)Ψ(t)=Ψ(te±λ)

  3. exp(λq(t)ddt)Ψ(t)=Ψ(Q(F(t)+λ))

where F(t) is the primitive function of 1q(t) and Q(t) is the inverse function of F(t).

Proof â–¼
See [ 6 ] .

Example 1.18

Let us consider the following Fokker-Planck equation with variable coefficients as

utαtα1(xxux)=λu.λ,γ>0.
u(x,0)=eγx.


Note: The operator LDx(.)=xxx is known as Laguerre derivative [ 7 ] .

Solution. The above partial differential equation can be written as below,

ut=(λ+αtα1xxx)u,

in order to solve the above differential equation, we separate the variables and rewrite the above equation as follows

duu=(λ+αtα1xxx)dt,

by integrating the above equation, we get

lnu=(λt+tαxxx)+c(x),

or

u(x,t)=exp[(λt+tαxxx)]c1(x),

by using the fact that u(x,0)=eγx=c1(x)=ec(x), we arrive at

u(x,t)=e(λt+tα(xxux))eγx.

After simplifying, we obtain

u(x,t)=eλt[etαxxx]eγx.

Let us define the operators A and B as follows

A=tαx,B=tαx2x2.

Then we have

tαxxx=tαx+tαx2x2=A+B,

with

[A,B]=ABBA=t2α2x2=A2.

In this case we have the following decomposition [ 6 ]

eA+B=(1+A)eB.

From the above relation, we arrive at

u(x,t)=eλt[etαxxx]eγx==eλt(1+A)[eBeγx]=eλt(1+tαx)[etαx2x2eγx],

at this point let us recall the following integral identity

eξ=1π+e(s2+2sξ)ds.

In the above integral let us set ξ=tαx2x2 we obtain the following operational identity

etαx2x2=1π+e(s2+2sxtαx)ds=1π+es2[e2tαsxx]ds,

thus, we have

u(x,t)=eλt[etαxxx]eγx=eλt(1+tαx)[1π+es2[e(2stα)xxeγx]ds].

Then apply the identity

eϕxxf(x)=f([x+ϕ2]2),

leads to

u(x,t)=eλt(1+tαx)[1π+es2eγ(xtαs)2ds].

After evaluation of the inner integral we have

u(x,t)=eλtπ(1+tαx)[π1+γtαe(γγ2tα1+γtα)x],

after simplification

u(x,t)=eλt(1+γtα)32e(γγ2tα1+γtα)x.

Note: It is easy to verify that u(x,0)=eγx.

In the next lemma, let us illustrate the use of Bromwich integral and residues theorem.

Lemma 1.19

Using Bromwich complex inversion formula to show that

L1[K0(as)sb]=2bK0(ab)eb2t0+etξ2bJ0(aξ)+ξY0(aξ)b2+ξ2ξdξ.

Note. The techniques introduce for evaluating the inverse Laplace transforms are adequate for a wide variety of routine applications involving the Laplace transform.

Proof â–¼
Direct application of the complex inversion formula and 1.5 leads to the following
L1[K0(as)sb]=g(t)=12πicic+iestK0(as)sbds=
=k=1nRes[etsK0(as)sb;s=sk].

The transform G(s)=[K0(as)sb] has a simple pole at s=b2 and a branch point at s=0. Then, the inverse Laplace transform will be obtained by the Gross-Levi method as follows [ 5 ]

g(t)=limsb2[(sb2)K0(as)etssb]+1π0+etrIm[limϕπG(reiϕ)].

or,

g(t)=limsb2[(sb)(s+b)K0(as)etssb]+1π0+etrIm[K0(areiπ)reiπb].

after simplifying we get

g(t)=2bK0(ab)eb2t1π0+etrIm[K0(iar)ir+b]dr.

At this stage, we use the following well-known identity for the Bessel’s functions of the first and second kind [ 5 ]

K0(iar)=πi2[J0(ar)+iY0(ar)].

therefore,

g(t)=2bK0(ab)eb2t1π0+etrIm[iπ2(bir)(J0(ar+iY0(ar)r+b2]dr,

after taking imaginary part of the fraction under integral sign, followed by making a change of variable r=ξ2 and simplifying, we arrive at

g(t)=2bK0(ab)eb2t0+etξ2bJ0(aξ)+ξY0(aξ)b2+ξ2ξdξ.

Definition 1.20

The Hankel transform of order ν of a function f(t) is given by

Hν[f(t);ρ]=0+f(t)tJν(ρt)dt=F(ρ).
It is well to note that ν is not specified at this point and can be chosen to fit best the particular problem under consideration. In order for a transformation to be useful in solving boundary value problems, it must have an inverse. The inverse Hankel transform of a function F(ρ) is given by [ 4 , 5 ]
Hν1[F(ρ);t]=0+F(ρ)ρJν(tρ)dρ=f(t).

Lemma 1.21

Let us define the function

hν(r)=1rν+1ddr[1rνy(r)].

and apply the Hankel transform of order ν, then we obtain

1.Hν[hν(r);rρ]=ρ2Hν[y(r);rρ].
2.H0[h0(r);rρ]=ρ2H0[y(r);rρ].
As an example of the Hankel transform we will consider the problem of heat conduction formulated as follows.

Solution to time fractional heat equation via the joint Laplace-Hankel transform.

Problem 1.22

Let us solve the time fractional heat conduction equation with boundary conditions as follows

DtC,αu=k21rr(rur),
u(r,0)=f(r),0<α1,0<r<+.
limr+u(r,t)=0,
limr0|u(r,t)|<+.

Note. Notice that the fractional derivative is in the Caputo sense. The constant k2 is the coefficient of diffusion for the substance under consideration. In the most general case the coefficient of diffusion will depend on the concentration and the coordinates of the point in question.

Solution: In order to obtain a solution for equations 1.111.14, let us define the joint Laplace-Hankel transform as follows

Hν(L[u(r,t);ts],rρ])=U(ρ,s)=0+rJ0(ρr)(0+estu(r,t)dt)dr,

taking the joint Laplace-Hankel transform to each term of equation 1.11 followed by second part of the lemma 1.19 and using boundary conditions 1.12, 1.13, 1.14 leads to

sαU(ρ,s)+(k2ρ2)U(ρ,s)=sα1F(ρ),

from which we obtain

U(ρ,s)=sα1F(ρ)sα+k2ρ2.

At this point, taking the inverse joint Laplace-Hankel transform to obtain

u(r,t)=0+ρJ0(rρ)F(ρ)[L1(sα1sα+k2ρ2)]dρ.

But, using the fact that L1(sα1sα+k2ρ2)=Eα,1(k2ρ2tα), we get the formal solution as follows

u(r,t)=0+ρJ0(rρ)F(ρ)Eα,1(k2ρ2tα)dρ.

Note. Eα,1(z) stands for the Mittag-Leffler function in one-parameter and we have

Eα,1(z)=Eα(z)=k=0+zkΓ(αk+1).

Let us consider the special case α=0.5, then we have

L1[sα1sα+k2ρ2]=L1[1ss+k2ρ2]=ek4ρ4terfc(k2ρ2t).

Therefore, our formal solution becomes

u(r,t)=0+ρJ0(rρ)Erfc(k2ρ2t)F(ρ)dρ.

Let us recall that H0[f(r);rρ]=0+f(ξ)ξJ0(ρξ)ξ=F(ρ) then we get finally

u(r,t)=0+ξf(ξ)[0+ρJ0(rρ)J0(ξρ)Erfc(tk2ρ2)dρ]dξ.

The last step is to verify that u(r,0)=f(r), we have

u(r,0)=0+ξf(ξ)(0+ρJ0(ξρ)J0(rρ)dρ)dξ.

But the value of the inner integral is

0+ρJ0(ξρ)J0(rρ)dρ=12δ(r2ξ24).

From which we deduce that

u(r,0)=0+ξf(ξ)[12δ(r2ξ24)]dξ.

In order to evaluate the above integral, we introduce a new change of variable r2ξ24=η, we get

u(r,0)=r24r24ηf(r24η)δ(η)dηr24η=
=r24f(r24η)δ(η)dη=f(r).

Lemma 1.23

We have the following integral identity for the Bessel’s functions

J0(2|sinht2|ξ)=4π20+sin(tτ)sinh(πτ)Kiτ(ξ)dτ.

Proof â–¼
Let us start with the well-known identity for the product of the modified Bessel’s functions
Kν(x)Kν(y)=π2sinπν0+J0(2xycosht(x2+y2))sinh(νt)dt.

Let us take x=y=ξ,ν=iτ then after simplifying we get

Kiν2(ξ)=π2isinhπτ0+J0(2ξ2cosht2ξ2)isin(τt)dt,

or,

2πsinhπτKiτ2(ξ)=0+J0(ξ2(cosht1))sinτtdt==0+J0(2|sinh(t2)|ξ)sinτtdt.

At this stage, by taking the inverse Fourier-sine transform, we have

4π20+Kiτ(ξ)sinh(πτ)sin(tτ)dτ=J0(2|sinht2|ξ).

Proof â–¼

2 Solution to unsteady fractional heat conduction in the quarter-plane via the joint Laplace-Fourier sine transform.

During the last three decade, many mathematical methods were widely applied in fractal analysis. Fractional calculus used to investigate fractal functions is an important tool in this fields [ 13 ] . The main physical purpose for investigating fractional diffusion equations is to describe phenomena of anomalous diffusion.

Problem 2.1

Let us solve the time fractional heat conduction equation in two dimensions with boundary conditions as follows

Dtc,αu=Δu=2ux2+2uy2,
u(x,0,t)=0,
u(x,y,0)=0,
u(0,y,t)ux(0,y,t)=tα1Γ(α),0<α1,0<x,y<+.
limy+u(x,y,t)=0,
limx+|u(x,y,t)|=0.

Solution: In order to obtain a solution for equations 2.162.21, let us define the joint Laplace-Fourier sine transform as follows

Fs(L[u(x,t);ts],yω])=U(x,w,s)=2π0+sin(wy)(0+estu(x,y,t)dt)dy,

taking the joint Laplace-Fourier sine transform of 2.16 and using boundary conditions 2.17, 2.18, 2.20 yields

Uxx(x,ω,s)(sα+ω2)U(x,ω,s)=0,

with boundary conditions as follows

U(0,ω,s)Ux(0,ω,s)=1ωsα,
limx+|U(x,ω,s)|=0.

The solution to equation 2.22 that satisfies the boundary conditions 2.23, 2.22 is as follows

U(x,ω,s)=exsα+ω2ωsα(sα+ω2+1).

Upon inverting the joint Laplace-Fourier sine transform, we obtain

u(x,y,t)=2π0+sinyωω(12πicic+ietsxsα+ω2sα(sα+ω2+1)ds)dω.

Let us evaluate first the complex inner integral, we have

h(x,ω,t)=L1[exsα+ω2sα(sα+ω2+1)]=L1[G(sα)],

in order to evaluate h(x,t), let us assume that

G(s)=exs+ω2s(s+ω2+1).

We first evaluate L1[G(s);st]=g(x,ω,t) by means of the Gross-Levi method as follows

L1[G(s);st]=g(x,ω,t)=eωxω+1+eω2tπ0+etξ(ξcosxξ+sinxξ(1+ξ)(ξ+ω2))dξ.

Then we evaluate L1[G(sα);st]=h(x,ω,t), by means of the lemma 1.13, we get

h(x,ω,t)=1π0+g(x,ω,η)(0+etrηrαcosαπsin(ηrαsinαπ)dr)dη.

Finally, we get the exact solution to diffusion equation as follows

u(x,y,t)=2π0+sinyωωh(x,ω,t)dω.

Let us consider the special case α=0.5, then we have

h(x,ω,t)=1π0+g(x,ω,η)(0+etrsin(ηr)dr)dη
=12tπt0+g(x,ω,η)[ηeη24t]dη.

Finally, we obtain

u(x,y,t)=1πt2t0+sin(yω)ω(0+ηg(x,ω,η)eη24tdη)dω,

with

g(x,ω,t)=eωxω+1+eω2tπ0+etξ(ξcosxξ+sinxξ(1+ξ)(ξ+ω2))dξ.

3 conclusion

The Fourier, Laplace and Hankel transforms provide a powerful method for solving certain linear differential and integral equations, and can be used for evaluating certain definite integrals. The paper is devoted to studying and application of the joint Laplace-Fourier sine transform for solving time fractional diffusion equation in the first quadrant. As a mathematical tool, the proposed method is extremely simple, attractive and concise.

Acknowledgements

The author would like to express his sincere thanks to the anonymous referee for useful comments and suggestions that lead to a significant improvement in the paper.

Bibliography

1

A. Aghili, Solution to time fractional non-homogeneous first order PDE with non-constant coefficients, Tbilisi Math. J., 12 (2019) 4, pp. 149–155, https://doi.org/10.32513/tbilisi/1578020577. \includegraphics[scale=0.1]{ext-link.png}

2

A. Aghili, Special functions, integral transforms with applications, Tbilisi Math. J., 12 (2019) 1, pp. 33–44.

3

A. Aghili, Fractional Black-Scholes equation, Int. J. Financial Engrg., 4 (2017) no. 1, art. id. 1750004, 15 pp., https://doi.org/10.1142/S2424786317500049. \includegraphics[scale=0.1]{ext-link.png}

4

A. Aghili, Complete solution for the time fractional diffusion problem with mixed boundary conditions by operational method, Appl. Math. Nonlin. Sci., 6 (2021) 1, pp. 9–20, 10.2478/amns.2020.2.00002. \includegraphics[scale=0.1]{ext-link.png}

5

A. Apelblat, Laplace transforms and their applications, Nova Science Publishers, Inc, New York, 2012.

6

G. Dattoli, P.L. Ottaviani, A. Torr, I. Vazquez, Evolution operator equations: integration with algebraic and finite difference methods. Applications to physical problems in classical and quantum mechanics and quantum field theory, Riv. Nuovo. Cimento Soc. Ital. Fis. (Ser. 4), 20 (1997) 2, pp. 1–133, https://doi.org/10.1007/bf02907529. \includegraphics[scale=0.1]{ext-link.png}

7

G. Dattoli, H.M. Srivastava, K.V. Zhukovsky, Operational methods and differential equations to initial–value problems, Appl. Math. Comput., 184 (2007), pp. 979–1001, https://doi.org/10.1016/j.amc.2006.07.001. \includegraphics[scale=0.1]{ext-link.png}

8

A.A. Kilbas, H.M. Srivastava, J.J. Trujillo, Theory and applications of fractional differential equations, North Holand Mathematics Studies, 204, Elsevier Science Publishers, Amesterdam, 2006.

9

F. Mainardi, G. Pagnini, R.K. Saxena, Fox H functions in fractional diffusion, J. Comp. Appl. Math., 178 (2005), pp. 321–331, https://doi.org/10.1016/j.cam.2004.08.006. \includegraphics[scale=0.1]{ext-link.png}

10

I. Podlubny, Fractional differential equations, Academic Press, San Diego, CA, 1999.

11

Y.Z. Povstenko, Fractional radial diffusion in a cylinder, J. Molecular Liquides, 137 (2008), pp. 46–50, https://doi.org/10.1016/j.molliq.2007.03.006. \includegraphics[scale=0.1]{ext-link.png}

12

W. Schneider, W. Wyss, Fractional diffusion and wave equations, J. Math. Phys., 27 (1989), pp. 134–144, https://doi.org/10.1063/1.528578. \includegraphics[scale=0.1]{ext-link.png}

13

S.P. Zhou, G.KL. He, T.F. Xie, On a class of fractals: the constructive structure, Chaos, Solitons Fractals, 19 (2004), pp. 1099–1104, https://doi.org/10.1016/s0960-0779(03)00282-0. \includegraphics[scale=0.1]{ext-link.png}