Abstract
In this present study, we investigate the solutions for fractional kinetic equations involving k-Struve function using the Sumudu transform. The graphical interpretations of the solutions involving k-Struve function and its comparison with generalized Bessel function are given. The methodology and results can be considered and applied to various related fractional problems in mathematical physics.
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1 Introduction
The Struve function \(H_{\nu } ( x ) \) introduced by Hermann Struve in 1882, defined for \(\nu \in \mathbb{C}\) by
is the particular solutions of the non-homogeneous Bessel differential equations, given by
The homogeneous version of (2) has Bessel functions of the first kind, denoted as \(J_{\nu }(x)\), for solutions, which are finite at \(x = 0\), when ν is a positive fraction and all integers [1], while they tend to diverge for negative fractions ν. The Struve functions occur in certain areas of physics and applied mathematics, for example, in water-wave and surface-wave problems [2, 3], as well as in problems of unsteady aerodynamics [4]. The Struve functions are also important in particle quantum dynamical studies of spin decoherence [5] and nanotubes [6]. For more details about Struve functions, their generalizations and properties, the esteemed reader is invited to consider the references [7–16]. Recently, Nisar et al. [17] introduced and studied various properties of k-Struve function \(\mathtt{S}_{ \nu ,c}^{\mathtt{k}}\) defined by
The Sumudu transform was introduced by Watugala (see [18, 19]). For more details about the Sumudu transform, see ([1, 20–31]). The Sumudu transform over the set of functions
is defined by
The Sumudu transform of k-Struve function is given by
Now, using
we have the following:
Denoting the left-hand side by \(G(u)\), we have
Now, using the formula
we get the inverse Sumudu transform of k-Struve function as
In the field of mathematics, many techniques are used to solve various types of problems [32–34]. In this paper, we use the Sumudu transform technique to obtain the solutions of fractional kinetic equations by considering (3). The applications of fractional order calculus are found in many papers (see [35–37]), and it has attracted researchers’ attention in various fields [38–46] because of its importance and efficiency. The fractional differential equation between a chemical reaction or a production scheme (such as in birth-death processes) was established and treated by Haubold and Mathai [47] (also see [21, 38, 48]).
2 Solution of generalized fractional kinetic equations for k-Struve function
Let the arbitrary reaction be described by a time-dependent quantity \(N= ( N_{t} ) \). The rate of change \(\frac{dN}{dt}\) is a balance between the destruction rate \(\mathfrak{d}\) and the production rate \(\mathfrak{p}\) of N, that is, \(\frac{dN}{dt}=-\mathfrak{d}+ \mathfrak{p}\). Generally, destruction and production depend on the quantity N itself, that is,
where \(N_{t}\) is described by \(N_{t} ( t^{\ast } ) =N ( t-t ^{\ast } ) ,t^{\ast }>0\). Another form of (12) is
with \(N_{i} ( t=0 ) =N_{0}\), which is the number of density of species i at time \(t=0\) and \(c_{i}>0\). The solution of (13) is
Integrating (13) gives
where \({}_{0}D_{t}^{-1}\) is the particular case of the Riemann-Liouville integral operator and c is a constant. The fractional form of (15) due to [47] is
where \({}_{0}D_{t}^{-\upsilon }\) is defined as
Suppose that \(f(t)\) is a real- or complex-valued function of the (time) variable \(t > 0\) and s is a real or complex parameter. The Laplace transform of \(f(t)\) is defined by
The Mittag-Leffler functions \(E_{\rho } ( z ) \) (see [49]) and \(E_{\rho ,\lambda } ( x ) \) [50] are defined respectively as follows:
Theorem 1
If \(d>0,\nu >0, \mu , c, t\in \mathbb{C}\) and \(\mu >-\frac{3}{2} \mathtt{k}\), then the solution of the generalized fractional kinetic equation
is given by the following formula:
where \(E_{\nu ,\nu (2r+\frac{\mu }{\mathtt{k}})+1} ( -d^{\nu }t ^{\nu } ) \) is given in (20).
Proof
The Sumudu transform of Riemann-Liouville fractional integral operators is given by
where \(G(u)\) is defined in (8). Now, applying the Sumudu transform to both sides of (21) and applying the definition of k-Struve function given in (3), we have
where
By rearranging terms, we get
Therefore
Taking the inverse Sumudu transform of (26) and by using
we have
which gives
which is the desired result. □
Corollary 1
If we put \(\mathtt{k}=1\) in ( 22 ), then we get the solution of involving the classical Struve function as follows: If \(d>0,\nu >0, \mu , c, t\in \mathbb{C}\) and \(\mu >-\frac{3}{2}\), then the equation
has the solution
Theorem 2
If \(\mathfrak{a}>0, d>0, \nu >0,c,\mu ,t\in \mathbb{C}, \mathfrak{a} \neq d\) and \(\mu >-\frac{3}{2}\mathtt{k}\), then the solution of equation
is given by
where \(E_{\nu ,\nu (2r+\frac{\mu }{\mathtt{k}})+1}(\cdot)\) is given in (20).
Proof
Theorem 2 can be proved in parallel with the proof of Theorem 1. So the details of proofs are omitted. □
Corollary 2
By putting \(\mathtt{k}=1\) in Theorem 2, we get the solution of fractional kinetic equation involving classical Struve function: If \(\mathfrak{a}>0, d>0, \nu >0,c,\mu ,t\in \mathbb{C}, \mathfrak{a} \neq d\) and \(\mu >-\frac{3}{2}\), then the equation
is given by the following formula:
Theorem 3
If \(d>0,\nu >0,c,\mu ,t\in \mathbb{C}\) and \(\mu >-\frac{3}{2} \mathtt{k}\), then the solution of
is given by
where \(E_{\nu ,\nu (2r+\frac{\mu }{\mathtt{k}})+1}(\cdot)\) is given in (20).
Proof
The proofs of Theorem 3 would run parallel to those of Theorem 1. □
Corollary 3
If we set \(\mathtt{k}=1\), then (35) is reduced as follows: If \(d>0,\nu >0,c,\mu ,t\in \mathbb{C}\) and \(\mu >-\frac{3}{2}\), then the solution of the following equation
is given by the formula
3 Graphical interpretation
In this section, first we plot the graphs of our solutions of the fractional kinetic equation, which is established in (22). In each graph, we give three solutions of the results on the basis of assigning different values to the parameters. In Figure 1, we take \(\mathtt{k}=1\) and \(\nu =0.5, 0.7, 0.9,1, 1.5\). Similarly, Figures 2, 3 are plotted respectively by taking \(\mathtt{k}=2\) and 3. Figures 4, 5, 6 are plotted by considering the solution given in (35) by taking \(\nu =0.5, 0.7, 0.9, 1, 1.5\) and \(\mathtt{k}=1,2,3\). Other than ν and k, all other parameters are fixed by 1. Observing these figures, we see that \(N{(t)}>0\) for \(t>0\) and the behavior of the solutions for different parameters and time interval can be studied and observed very easily. In this study, we choose first 50 terms of Mittag-Leffler function and first 50 terms of our solutions to plot the graphs. Also, the comparison between solutions of generalized fractional kinetic equations involving generalized Bessel function (solid green line) and k-Struve function (dashed red line) are shown in Figure 7.
4 Conclusion
In this work, we have established the solution of fractional kinetic equation involving k-Struve function with the help of the Sumudu transform and provided its graphical interpretations. From the close relationship of the k-Struve function with other special functions, one can easily construct various known and new fractional kinetic equations.
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Nisar, K.S., Belgacem, F.B.M. Dynamic k-Struve Sumudu solutions for fractional kinetic equations. Adv Differ Equ 2017, 340 (2017). https://doi.org/10.1186/s13662-017-1397-6
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DOI: https://doi.org/10.1186/s13662-017-1397-6