1. Introduction
The classical result for the inverse Laplace transform of the function
is [
1]
In Equation (
1) the condition
is needed because when
, the ratio
and the right-hand side of Equation (
1) vanishes, except when
, which leads to a singularity. Nevertheless, within the context of generalized functions, when
, the right-hand side of Equation (
1) becomes the Dirac delta function [
2] according to the Gel’fand and Shilov [
3] definition of the
derivative of the Dirac delta function
with a proper interpretation of the quotient
as a limit at
. Thus, according to the Gel’fand and Shilov [
3] definition expressed by Equation (
2), Equation (
1) can be extended for values of
, and in this way one can establish the following expression for the inverse Laplace transform of
with
:
For instance when
, Equation (
3) yields
which is the correct result, since the Laplace transform of
is
Equation (
5) is derived by making use of the property of the Dirac delta function and its higher-order derivatives
In Equations (
5) and (
6), the lower limit of integration,
is a shorthand notation for
, and it emphasizes that the entire singular function
is captured by the integral operator. In this paper we first show that Equation (
3) can be further extended for the case where the Laplace variable is raised to any positive real power;
with
. This generalization, in association with the convolution theorem, allows for the derivation of some new results on the inverse Laplace transform of irrational functions that appear in problems with fractional relaxation and fractional diffusion [
4,
5,
6,
7,
8,
9,
10,
11]. This work complements recent progress on the numerical and approximate Laplace-transform solutions of fractional diffusion equations [
12,
13,
14,
15].
Most materials are viscoelastic; they both dissipate and store energy in a way that depends on the frequency of loading. Their resistance to an imposed time-dependent shear deformation,
, is parametrized by the complex dynamic modulus
where
and
are the Fourier transforms of the output stress,
, and the input strain,
, histories. The output stress history,
, can be computed in the time domain with the convolution integral
where
is the memory function of the material [
16,
17,
18] defined as the resulting stress at time
t due to an impulsive strain input at time
, and it is the inverse Fourier transform of the complex dynamic modulus
2. The Fractional Derivative of the Dirac Delta Function
Early studies on the behavior of viscoelastic materials, that their time-response functions follow power laws, have been presented by Nutting [
4], who noticed that the stress response of several fluid-like materials to a step strain decays following a power law,
with
. Following Nutting’s observation and the early work of Gemant [
5,
6] on fractional differentials, Scott Blair [
19,
20] pioneered the introduction of fractional calculus in viscoelasticity. With analogy to the Hookean spring, in which the stress is proportional to the zero-th derivative of the strain and the Newtonian dashpot, in which the stress is proportional to the first derivative of the strain, Scott Blair and his co-workers [
19,
20,
21] proposed the springpot element—that is a mechanical element in-between a spring and a dashpot with constitutive law
where
q is a positive real number,
,
is a phenomenological material parameter with units
(say
Pa·sec), and
is the fractional derivative of order
q of the strain history,
.
A definition of the fractional derivative of order
q is given through the convolution integral
where
is the Gamma function. When the lower limit,
, the integral given by Equation (
10) is often referred to as the Riemann–Liouville fractional integral
[
22,
23,
24,
25]. The integral in Equation (
10) converges only for
, or in the case where
q is a complex number, the integral converges for
. Nevertheless, by a proper analytic continuation across the line
, and provided that the function
is
n times differentiable, it can be shown that the integral given by Equation (
10) exists for
[
26]. In this case the fractional derivative of order
exists and is defined as
where
is the set of positive real numbers, and
is a generalization of the Gel’fand and Shilov kernel given by Equation (
2) for
. Gorenflo and Mainardi [
27] and subsequently Mainardi [
28] concluded that within the context of generalized functions, Equation (
11) is indeed a formal definition of the fractional derivative of order
of a sufficiently differentiable function by making use of the property of the Dirac delta function and its higher-order derivatives given by Equation (
6) in association with the 1964 Gel’fand and Shilov [
3] definition of the Dirac delta function and its higher-order derivatives given by Equation (
2). Accordingly, the
-order derivative,
, of a sufficiently differentiable function
is the convolution of
with
defined by Equation (
2)
By replacing
with
in Equation (
12), Gorenflo and Mainardi [
27] and Mainardi [
28] explain that Equation (
11) is a formal definition of the fractional derivative of order
and should be understood as the convolution of the function
with the kernel
as indicated in Equation (
11) [
22,
23,
24,
27,
28]. The formal character of Equation (
11) is evident in that the kernel
is not locally absolutely integrable in the classical sense; therefore, the integral appearing in Equation (
11) is in general divergent. Nevertheless, when dealing with classical functions (not just generalized functions) the integral can be regularized as shown in [
27,
28].
The Fourier transform of the fractional derivative of a function defined by Equation (
11) is
where
indicates the Fourier transform operator [
1,
24,
28]. The one-sided integral appearing in Equation (
13) that results from the causality of the strain history,
is also the Laplace transform of the fractional derivative of the strain history,
where
is the Laplace variable, and
indicates the Laplace transform operator [
28,
29].
For the elastic Hookean spring with elastic modulus,
G, its memory function as defined by Equation (
8) is
, which is the zero-order derivative of the Dirac delta function; whereas, for the Newtonian dashpot with viscosity,
, its memory function is
, which is the first-order derivative of the Dirac delta function [
16]. Since the springpot element defined by Equation (
9) with
is a constitutive model that is in-between the Hookean spring and the Newtonian dashpot, physical continuity suggests that the memory function of the springpot model given by Equation (
9) shall be of the form of
, which is the fractional derivative of order
q of the Dirac delta function [
22,
25].
The fractional derivative of the Dirac delta function emerges directly from the property of the Dirac delta function [
2]
By following the Riemann–Liouville definition of the fractional derivative of a function given by the convolution appearing in Equation (
11), the fractional derivative of order
of the Dirac delta function is
and by applying the property of the Dirac delta function given by Equation (
15); Equation (
16) gives
The result of Equation (
17) has been presented in [
22,
25] and has been recently used to study problems in anomalous diffusion [
11] and anomalous relaxation [
30]. Equation (
17) offers the remarkable result that the fractional derivative of the Dirac delta function of any order
is finite everywhere other than at
; whereas, the Dirac delta function and its integer-order derivatives are infinite-valued, singular functions that are understood as a monopole, dipole and so on; and we can only interpret them through their mathematical properties as the one given by Equations (
6) and (
15).
Figure 1 plots the fractional derivative of the Dirac delta function at
The result of Equation (
18) for
is identical to the Gel’fand and Shilov [
3] definition of the
derivative of the Dirac delta function given by Equation (
2), where
is the set of positive integers including zero and shows that the fractional derivative of the Dirac delta function
with
is merely the kernel
in the formal definition of the fractional derivative given by Equation (
11). Accordingly, in analogy with Equation (
12) the fractional derivative of order
of a sufficiently differentiable function is
3. The Inverse Laplace Transform of with
The memory function,
appearing in Equation (
7) of the Scott–Blair (springpot when
element expressed by Equation (
9) results directly from the definition of the fractional derivative expressed with the Reimann–Liouville integral given by Equation (
11). Substitution of Equation (
11) into Equation (
9) gives
By comparing Equation (
20) with Equation (
7), the memory function,
, of the Scott–Blair element is merely the kernel of the Riemann–Liouville convolution multiplied with the material parameter
where the right-hand side of Equation (
21) is from Equation (
18). Equation (
21) shows that the memory function of the springpot element is the fractional derivative of order
of the Dirac delta function as was anticipated by using the argument of physical continuity given that the springpot element interpolates the Hookean spring and the Newtonian dashpot.
In this study we adopt the name “Scott–Blair element” rather than the more restrictive “springpot” element given that the fractional order of differentiation
is allowed to take values larger than one. The complex dynamic modulus,
, of the Scott–Blair fluid described by Equation (
9) with now
derives directly from Equation (
13)
and its inverse Fourier transform is the memory function,
, as indicated by Equation (
8). With the introduction of the fractional derivative of the Dirac delta function expressed by Equation (
17) or (
21), the definition of the memory function given by Equation (
8) offers a new (to the best of our knowledge) and useful result regarding the Fourier transform of the function
with
In terms of the Laplace variable
(see equivalence of Equations (
13) and (
14)), Equation (
23) gives that
where
indicates the inverse Laplace transform operator [
1,
28,
29].
When
the right-hand side of Equation (
23) or (
24) is non-zero only when
; otherwise it vanishes because of the poles of the Gamma function when
q is zero or any positive integer. The validity of Equation (
23) can be confirmed by investigating its limiting cases. For instance, when
, then
; and Equation (
23) yields that
; which is the correct result. When
, Equation (
23) yields that
. Clearly, the function
is not Fourier integrable in the classical sense, yet the result of Equation (
23) can be confirmed by evaluating the Fourier transform of
in association with the properties of the higher-order derivatives of the Dirac delta function given by Equation (
6). By virtue of Equation (
6), the Fourier transform of
is
therefore, the functions
and
are Fourier pairs, as indicated by Equation (
23).
More generally, for any
, Equation (
23) yields that
=
and by virtue of Equation (
6), the Fourier transform of
is
showing that the functions
and
are Fourier pairs, which is a special result for
of the more general result offered by Equation (
23). Consequently, fractional calculus and the memory function of the Scott–Blair element with
offer an alternative avenue to reach the Gel’fand and Shilov [
3] definition of the Dirac delta function and its integer-order derivatives given by Equation (
2). By establishing the inverse Laplace transform of
with
given by Equation (
24) we proceed by examining the inverse Laplace transform of
with
.
5. The Inverse Laplace Transform of with
We start with the known result for the inverse Laplace transform of the function
with
[
25,
27]
where
is the two-parameter Mittag–Leffler function [
31,
32,
33]
When
, Equation (
32) reduces to the result of the Laplace transform of the one-parameter Mittag–Leffler function, originally derived by Mittag–Leffler [
33]
When
, the right-hand side of Equation (
32) is known as the Rabotnov function,
[
11,
28,
30,
34,
35]; and Equation (
32) yields
Figure 2 plots the function
(left) and the function
(right) for various values of the parameter
. For
both functions contract to
. When
Equation (
32) gives
The inverse Laplace transform of
with
is evaluated with the convolution theorem expressed by Equation (
27) where
given by Equation (
24) and
is given by Equation (
35). Accordingly, Equation (
27) gives
With reference to Equation (
11), Equation (
37) indicates that
is the fractional derivative of order
q of the Rabotnov function
For the case where
, the exponent
q can be expressed as
with
, and Equation (
38) returns the known result given by Equation (
32). For the case where
, the numerator of the fraction
is more powerful than the denominator, and the inverse Laplace transform expressed by Equation (
38) is expected to yield a singularity that is manifested with the second parameter of the Mittag–Leffler function
, being negative
. This embedded singularity in the right-hand side of Equation (
38) when
is extracted by using the recurrence relation [
31,
32,
33]
By employing the recurrence relation (
39) to the right-hand side of Equation (
38), then Equation (
38) for
assumes the expression
Recognizing that according to Equation (
18), the first term in the right-hand side of Equation (
39) is
, the inverse Laplace transform of
with
can be expressed in the alternative form
in which the singularity
has been extracted from the right-hand side of Equation (
38), and now the second index of the Mittag–Leffler function appearing in Equation (
40) or (
41) has been increased to
. In the event that
remains negative
, the Mittag–Leffler function appearing on the right-hand side of Equation (
40) or (
41) is replaced again by virtue of the recurrence relation (
39) and results in
More generally, for any
with
with
and
and all singularities from the Mittag–Leffler function have been extracted. For the special case where
Equation (
43) gives for
with
which is the extension of entry (4) of
Table 1 for any
. As an example, for
Equation (
44) is expressed in its dimensionless form
whereas for
, Equation (
44) yields
Figure 3 plots the results of Equation (
45) for
1.3, 1.7, 1.9 and 1.99 together with the results of Equation (
46) for
2.01, 2.1, 2.3 and 2.7. When
q tends to 2 from below, the curves for
approach
from below; whereas when
q tends to 2 from above, the curves of the inverse Laplace transform approach
from above.