Solution to unsteady fractional heat conductionin the quarter-plane via the joint Laplace-Fourier sine transforms
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.
\(^\ast \)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.
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
The left Riemann-Liouville fractional derivative of order \(\alpha \) \((0{\lt}\alpha {\lt}1)\) of \(\phi (t)\) is defined as follows [ 10 ]
The left Caputo fractional derivative of order \(\alpha \) \((0{\lt}\alpha {\lt}1)\) of \(\phi (t)\) is defined as follows [ 10 ]
Let us recall some definitions and properties that are related to the classical continuous Fourier transform.
The Fourier transform of the function \(f(x)\), and \(-\infty {\lt}x{\lt}+\infty \) is defined as follows
If \(\mathcal F\{ f(x)\} = F(\omega )\), then the inverse Fourier transform \(\mathcal F^{-1} \{ F(\omega )\} \) is given by
The following identities hold true.
\( \mathcal F^{-1}({\tfrac {1}{a\sqrt{2}}}\exp {(-\tfrac {\omega ^2}{4 a^2})})= \exp {(-a^2 x^2)} \),
\( \mathcal F^{-1}({ \sqrt{\tfrac {2}{\pi }}\tfrac {a}{a^2+\omega ^2}})= \exp {(-a{\vert x \vert })}\),
\( \mathcal F^{-1}({\sqrt{\frac{2}{\pi }}\frac{2ai\omega }{(a^2+\omega ^{2})^2 }})=x \exp {(-a{\vert x \vert })} \),
\( \mathcal F^{-1}({i\sqrt{\frac{2}{\pi }}\frac{\Gamma (1-\delta )}{{| \omega |} ^{1-\delta }}}\cos (\frac{\pi \delta }{2}))={| x |}^{-\delta }sgn(x)\).
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.
The following identity holds true
Let us consider the following well-known elementary integral
In view of the above integral, \( F(\omega )\) can be written as follows
Upon using Fourier inversion formula, we arrive at
changing the order of integration, we get the following
after evaluating the inner integral by using first part of the lemma 1.5, we have
at this stage, if we make the simple change of variable \( \xi ^2 = \theta \) in the above integral, after simplifying we obtain
by means of the following integral representation for the modified Bessel’s function of the second kind of order zero (Macdonald’s function)
we have finally
The following identity holds true
The following integral identity holds true
The following identity holds true
At this point, let us choose \( \xi = \sqrt{(k^2+\lambda ^2)(t^2+x^2)}\) and making a change of variable \(\cosh \phi = \eta \), we get
By replacing the above integral on the right hand side of the corollary 1.7 we obtain
In the above relation, let us choose \(k=0\), then we get the following relation
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.
The Laplace transform of the function \(f(t)\), \( 0{\lt} t {\lt}+\infty \)
is defined as follows
If \(\mathcal L\{ f(t)\} = F(s)\), then \(\mathcal L^{-1} \{ F(s)\} \) is given by
where \(F(s)\) is analytic in the region \(\operatorname {Re} (s) {\gt}c \) 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.
Let us assume that \( \mathcal{L}[f(t);t\rightarrow s]=F(s) \) and \(F(s) = F(re^{i\phi })\), \({\vert \phi \vert }{\lt}\pi \) and \(\int _0^{+\infty }{\vert F(re^{i\phi }) \vert }^2 dr {\lt}+\infty \) , then we have the following inversion formula
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 \(\alpha \) is given.
We have the following relations
and generally
The Laplace transform provides a useful technique for the solution of such fractional singular integro-differential equations.
Let \( \mathcal L\{ f(t)\} = F(s) \), then the following identities hold true.
\( \displaystyle \mathcal{L}^{-1} [ F(s^\alpha );s\rightarrow t) ] =\)
\(\displaystyle =\tfrac {1}{\pi }\int _0^{+\infty } f(u) \bigg(\int _0^{+\infty } e^{-tr-ur^{\alpha }\cos \alpha \pi } \sin (ur^\alpha \sin \alpha \pi )dr\bigg)du. \)
\( \displaystyle \mathcal L^{-1}({e^{-k\sqrt{s}}})=\tfrac {k}{(2\sqrt{\pi })}\int _{0 }^{\infty }e^{-s\xi -\frac{{k}^2}{4\xi }}{d\xi }\)
\(\displaystyle {e^{-\omega s^{\alpha }}}= \tfrac {1}{\pi } \int _{0 }^{\infty } e^{-r^{\alpha }(\omega cos{\alpha }\pi )}\sin ({\omega r^{\alpha }}\sin {\alpha }\pi ) \bigg(\int _{0 }^{\infty }e^{-s\tau -r\tau }{d\tau }\bigg){dr} \)
The Stieltjes transform (i.e. the second iterate of the Laplace transform) of a function \(\psi (t) : R_{+} \rightarrow C\) is defined by means of the following relation
Provided that the integral exists.
We have the following inversion formula for the Stieltjes transform [ 5 ] ,
The following integral identity holds true.
Equivalently, we need to show that
At this point, let us evaluate the right hand side by means of the inversion formula for the Stieltjes transform [ 5 ] as follows
after simplifying we get
Let us use the well-known identity for the Macdonal’s function as below
hence, we have
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 \(\Psi (t)\) are as follows.
The following exponential identities hold true.
\(\exp ({\pm {\lambda }}{\frac{d}{dt}}){\Psi (t)}=\Psi (t{\pm {\lambda }})\)
\(\exp ({\pm {\lambda }}t{\frac{d}{dt}}){\Psi (t)}=\Psi (te^{\pm {\lambda }})\)
\(\exp ({\lambda }q(t){\frac{d}{dt}}){\Psi (t)}=\Psi (Q(F(t)+\lambda ))\)
where \( F(t)\) is the primitive function of \(\tfrac {1}{q(t)}\) and \({\mathcal Q} (t)\) is the inverse function of \(F(t)\).
Let us consider the following Fokker-Planck equation with variable coefficients as
Note: The operator \({ }_L D_x (.)=\tfrac {\partial }{\partial x} x \tfrac {\partial }{\partial x} \) is known as Laguerre derivative
[
7
]
.
Solution. The above partial differential equation can be written as below,
in order to solve the above differential equation, we separate the variables and rewrite the above equation as follows
by integrating the above equation, we get
or
by using the fact that \(u(x,0)= e^{-\gamma x}=c_1(x)=e^{c(x)}\), we arrive at
After simplifying, we obtain
Let us define the operators A and B as follows
Then we have
with
In this case we have the following decomposition [ 6 ]
From the above relation, we arrive at
at this point let us recall the following integral identity
In the above integral let us set \( \xi = t^\alpha x\frac{\partial ^2}{ \partial x^2}\) we obtain the following operational identity
thus, we have
Then apply the identity
leads to
After evaluation of the inner integral we have
after simplification
Note: It is easy to verify that \( u(x,0)= e^{-\gamma x}\).
In the next lemma, let us illustrate the use of Bromwich integral and residues theorem.
Using Bromwich complex inversion formula to show that
Note. The techniques introduce for evaluating the inverse Laplace transforms are adequate for a wide variety of routine applications involving the Laplace transform.
The transform \(G(s)=[ \frac{K_0(a\sqrt{s})}{\sqrt{s}-b}] \) has a simple pole at \( s = b^2\) and a branch point at \( s=0\). Then, the inverse Laplace transform will be obtained by the Gross-Levi method as follows [ 5 ]
or,
after simplifying we get
At this stage, we use the following well-known identity for the Bessel’s functions of the first and second kind [ 5 ]
therefore,
after taking imaginary part of the fraction under integral sign, followed by making a change of variable \( r = \xi ^2\) and simplifying, we arrive at
The Hankel transform of order \(\nu \) of a function \(f(t)\) is given by
Let us define the function
and apply the Hankel transform of order \( \nu \), then we obtain
Solution to time fractional heat equation via the joint Laplace-Hankel transform.
Let us solve the time fractional heat conduction equation with boundary conditions as follows
Note. Notice that the fractional derivative is in the Caputo sense. The constant \( k^2\) 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 1.11–1.14, let us define the joint Laplace-Hankel transform as follows
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
from which we obtain
At this point, taking the inverse joint Laplace-Hankel transform to obtain
But, using the fact that \( \mathcal{L}^{-1} (\frac{s^{\alpha -1}}{s^\alpha +k^2 \rho ^2})=E_{\alpha ,1}(-k^2 \rho ^2 t^{\alpha })\), we get the formal solution as follows
Note. \(E_{\alpha ,1}(z)\) stands for the Mittag-Leffler function in one-parameter and we have
Let us consider the special case \(\alpha =0.5\), then we have
Therefore, our formal solution becomes
Let us recall that \( \mathcal{H}_0 [f(r);r \rightarrow \rho ] =\int _0^{+\infty } f(\xi ) \xi J_0(\rho \xi )\xi =F(\rho )\) then we get finally
The last step is to verify that \( u(r,0)=f(r) \), we have
But the value of the inner integral is
From which we deduce that
In order to evaluate the above integral, we introduce a new change of variable \( \frac{r^2-\xi ^2}{4} =\eta \), we get
We have the following integral identity for the Bessel’s functions
Let us take \( x=y = \xi , \nu =i\tau \) then after simplifying we get
or,
At this stage, by taking the inverse Fourier-sine transform, we have
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.
Let us solve the time fractional heat conduction equation in two dimensions with boundary conditions as follows
Solution: In order to obtain a solution for equations 2.16–2.21, let us define the joint Laplace-Fourier sine transform as follows
taking the joint Laplace-Fourier sine transform of 2.16 and using boundary conditions 2.17, 2.18, 2.20 yields
with boundary conditions as follows
The solution to equation 2.22 that satisfies the boundary conditions 2.23, 2.22 is as follows
Upon inverting the joint Laplace-Fourier sine transform, we obtain
Let us evaluate first the complex inner integral, we have
in order to evaluate \(h(x,t)\), let us assume that
We first evaluate \( \mathcal{L}^{-1}[G(s);s\rightarrow t]=g(x,\omega ,t) \) by means of the Gross-Levi method as follows
Then we evaluate \(\mathcal{L}^{-1} [G(s^\alpha );s\rightarrow t]= h(x,\omega ,t)\), by means of the lemma 1.13, we get
Finally, we get the exact solution to diffusion equation as follows
Let us consider the special case \( \alpha =0.5\), then we have
Finally, we obtain
with
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.
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.
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