Abstract
In this article, we obtain new fractional solutions of the general class of non-Fuchsian differential equations by using discrete fractional nabla operator . This operator is applied to homogeneous and nonhomogeneous linear ordinary differential equations. Thus, we obtain new solutions in fractional forms by a newly developed method.
1. Introduction
The history of fractional mathematics dates back to Leibniz (1695). This field of work is rapidly increasing and, nowadays, it has many applications in science and engineering [1,2,3,4]. Heat transfer, diffusion and Schrödinger equation are some fields where fractional analysis is used.
A similar theory was started for discrete fractional analysis and the definition and properties of fractional sums and differences theory were developed. Many articles related to this topic have appeared lately [5,6,7,8,9,10,11,12,13,14,15,16,17,18].
In 1956 [5], differences of fractional order was first introduced by Kuttner. Difference of fractional order has attracted more interest in recent years.
Diaz and Osler [6], defined the notion of fractional difference as follows
where is any real number.
Granger and Joyeux [19] and Hosking [20], defined notion of the fractional difference as follows
where is any real number and is the shift operator. Gray and Zhang [21], Acar and Atici [10] studied on a new definition and characteristics of the fractional difference.
2. Preliminary and Properties
In this section, we first present sufficient fundamental definitions and formulas so that the article is self-contained.
The rising factorial power (t to the m rising, ) is defined by
Let be any real number. Then “t to the rising” is defined to be
Also, the ∇ operator of Equation (1) is given by
where
Let such that The th-order fractional nabla sum of g is given by
where is backward jump operator. Also, we define the trivial sum by for
The th-order Riemann-Liouville type nabla fractional difference of g is defined by
where [10].
Theorem 1
([16]). Let f and Then
Lemma 1
(Power Rule [10]). Let and η be two real numbers so that is defined. Then,
Lemma 2
(Leibniz Rule [10]). For any ηth-order fractional difference of the product is given in this form
where
and g are defined on and t is a positive integer.
Lemma 3 (Index Law).
Let is single-valued and analytic. Then
3. Main Results
We start by considering the following differential equation
where is a given function, and and ℓ are parameters.
Let
so that
and
Finally, we find it to be suitable to restrict the different parameters involved in (11) and (15) by means of the following equalities;
so that
and
Under the parametric constraints given by (16), the Equation (15) will immediately decrease to a simpler form
where and are given by (17) and (18), respectively.
Theorem 2.
Let and Then the nonhomogeneous linear differential equation
has particular solutions in the below forms:
where are given constants.
Proof.
For ,
(i) When we operate to the both sides of (20), we have
by using (9) and (10) we obtain
where q is a shift operator which is defined by . By substituting (24), (25) into the (23), we have
We choose such that
Then we obtain
from (26).
Therefore, setting
we have
from (27). A particular solution of a first order ordinary differential Equation (29):
(ii) Set
Here, we choose such that
that is
In the case we have the same results as i.
Applying the operator to both members of (36), we have
Furthermore, we can prove for the homogen part such that the homogeneous linear ordinary differential equation
has solutions of the forms
where h is an arbitrary constant.
Now, in Theorem 1, we further set
and let
We thus find that the nonhomogeneous differential Equation (19) has a particular solution given by
and that the corresponding homogeneous linear differential equation
has solutions of the forms
where h is an arbitrary constant.
Therefore, the linear differential Equation (11), has a particular solution in the following forms
and
and that the corresponding homogeneous linear differential equation
has solutions given by
where , the parameters and are given by (17), (18) and (45).
Remark 1.
4. Conclusions
In this article, we use the discrete fractional operator for the homogeneous and non-homogeneous non-Fuchsian differential equations. This solution of the equation has not been obtained before by using ∇ operator. We can obtain particular solutions of the same type linear singular ordinary and partial differential equations by using the discrete fractional nabla operator in future works.
Author Contributions
These authors contributed equally to this work.
Funding
This research received no external funding.
Acknowledgments
The authors gratefully thank the anonymous the editor and referees for valuable suggestions which improved the manuscript.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Miller, K.S.; Ross, B. An Introduction to the Fractional Calculus and Fractional Differential Equations; John Wiley and Sons, Inc.: New York, NY, USA, 1993. [Google Scholar]
- Oldham, K.; Spanier, J. The Fractional Calculus: Theory and Applications of Differentiation and Integration to Arbitrary Order; Dover Publications, Inc.: Mineola, NY, USA, 2002. [Google Scholar]
- Podlubny, I. Fractional Differential Equations; Academic Press: New York, NY, USA, 1999. [Google Scholar]
- Baleanu, D.; Guven, Z.B.; Machado, J.A.T. New Trends in Nanotechnology and Fractional Calculus Applications; Springer: Berlin/Heidelberg, Germany, 2010. [Google Scholar]
- Kuttner, B. On differences of fractional order. Proc. Lond. Math. Soc. 1957, 3, 453–466. [Google Scholar] [CrossRef]
- Diaz, J.B.; Osler, T.J. Differences of Fractional Order. Am. Math. Soc. 1974, 28, 185–202. [Google Scholar] [CrossRef]
- Atici, F.M.; Eloe, P.W. A transform method in discrete fractional calculus. Int. J. Differ. Equ. 2007, 2, 165–176. [Google Scholar]
- Atici, F.M.; Eloe, P.W. Discrete fractional calculus with the nabla operator. Electr. J. Qual. Theory Differ. Equ. 2009, 3, 1–12. [Google Scholar]
- Lin, S.D.; Tu, S.T.; Srivastava, H.M. A Unified Presentation of Certain Families of Non-Fuchsian Differential Equations via Fractional Calculus Operators. Comput. Math. Appl. 2003, 45, 1861–1870. [Google Scholar] [CrossRef]
- Acar, N.; Atici, F.M. Exponential functions of discrete fractional calculus. Appl. Anal. Discrete Math. 2013, 7, 343–353. [Google Scholar] [CrossRef]
- Anastassiou, G.A. Right nabla discrete fractional calculus. Int. J. Differ. Equ. 2011, 6, 91–104. [Google Scholar]
- Holm, M. Sum and Difference Compositions in Discrete Fractional Calculus. COBO Math. J. 2011, 13, 153–184. [Google Scholar] [CrossRef]
- Yilmazer, R.; Ozturk, O. On Nabla Discrete Fractional Calculus Operator for a Modified Bessel Equation. Therm. Sci. 2018, 22, S203–S209. [Google Scholar] [CrossRef]
- Yilmazer, R.; Inc, M.; Tchier, F.; Baleanu, D. Particular Solutions of the Confluent Hypergeometric Differential Equation by Using the Nabla Fractional Calculus Operator. Entropy 2016, 18, 49. [Google Scholar] [CrossRef]
- Atici, F.M.; Sengül, S. Modeling with fractional difference equations. J. Math. Anal. Appl. 2010, 369, 1–9. [Google Scholar] [CrossRef]
- Mohan, J.J. Solutions of perturbed nonlinear nabla fractional difference equations. Novi Sad. J. Math. 2013, 43, 125–138. [Google Scholar]
- Mohan, J.J. Analysis of nonlinear fractional nabla difference equations. Int. J. Anal. Appl. 2015, 7, 79–95. [Google Scholar]
- Yilmazer, R. N-fractional calculus operator Nμ method to a modified hydrogen atom equation. Math. Commun. 2010, 15, 489–501. [Google Scholar]
- Granger, C.W.J.; Joyeux, R. An introduction to long-memory time series models and fractional differencing. J. Time Ser. Anal. 1980, 1, 15–29. [Google Scholar] [CrossRef]
- Hosking, J.R.M. Fractional differencing. Biometrika 1981, 68, 165–176. [Google Scholar] [CrossRef]
- Gray, H.L.; Zhang, N. On a New Definition of the Fractional Difference. Math. Comput. 1988, 50, 513–529. [Google Scholar] [CrossRef]
© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).