Abstract
In the current paper, we consider multi-derivative nonlinear fractional differential equations involving Atangana-Baleanu fractional derivative. We investigate the fundamental results about the existence, uniqueness, boundedness and dependence of the solution on various data. The analysis is based on a fractional integral operator due to T. R. Prabhakar involving generalized Mittag-Leffler function, the Krasnoselskii’s fixed point theorem and Gronwall-Bellman inequality with continuous functions.
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1 Introduction
Fractional differential equations (FDEs) [1,2,3,4,5] appeared as an excellent mathematical tool for modeling of many physical phenomena appearing in various branches of science and engineering such as viscoelasticity, self-similar protein dynamics, continuum and statistical mechanics, dynamics of particles etc. For more details, one can refer [6,7,8,9,10,11] and furthermore articles referred in that. Crucial development about existence and uniqueness theory, various sorts of stabilities, data dependency and the controllability results for a different class of FDEs can be found in [12,13,14,15,16] and the references cited therein.
To avoid the singularity appearing in the classical fractional differential operators many researchers are attempting to build up the theory of fractional calculus by constructing different kinds of fractional derivative operators with the nonsingular kernel. In this sense, Caputo and Fabrizio [17] constructed a new fractional derivative which a variant of Caputo derivative with the singular kernel replaced by the exponential function as its kernel. Atangana and Baleanu in [18] introduced non singular Caputo and Riemann-Liouville version of fractional differential operator with Mittag-Leffler function as its kernel.
Taking advantage of the non-singular Mittag Leffler kernel present in the Atangana-Baleanu (AB)-fractional derivative operators, recently authors from various branches of applied mathematics developed and studied mathematical models involving AB-fractional derivative. Bonyah et al. [19] considered a mathematical model involving AB-fractional derivative for co-infection of cancer and hepatitis diseases. They examined existence and uniqueness, stability analysis, and reproductive number. In [20], Ahmad et al. investigated the fractional-order tumor-immune-vitamin model with AB-fractional derivative for existence, uniqueness, and Hyres-Ulam stability. Authors in [21] did a comparative and chaotic study of tumor and effector cells through the fractional tumor-immune dynamical model with AB-fractional derivative. In [22], the authors utilized the fractional AB derivative to study the numerical solution of the fractional immunogenetic tumor model. Study of transmission dynamics of COVID-19 mathematical model under ABC-fractional-order derivative has been dealt in [23]. Logeswari et al. [24] explored the mathematical model for spreading of COVID-19 infection in the world with AB-fractional derivative. Further, they created a framework that generates numerical outcomes to predict the outcome of the infection spreading all over India. Other few important works that attempted to handle the issue of diverse ailment modeled in the form of FDEs involving AB-fractional derivative are [25,26,27,28,29,30]. For additional point by point concentrates on various qualitative and quantitative properties of solutions to FDEs with AB-fractional derivative, the interested reader can refer to [31,32,33,34,35,36,37,38,39].
On the other hand, Mohamed et al. [40], considered multi-derivative initial value problem for Caputo FDEs and studied the existence and uniqueness of the solution and obtained numerical solution through Adomian, Picard and predictor-corrector technique. Kucche et al. in [41] extended the work of [40] to the system of multi-derivative FDEs involving the Caputo fractional derivative and studied existence, uniqueness and continuous dependence of solution. Further, they have discussed validity, convergence, and error estimation for Picard’s method.
Inspired by the work of [42,43,44], on the line of [40, 41], we consider multi-derivative nonlinear FDEs involving Riemann-Liouville version of AB-fractional derivative (ABR derivative) of the from:
where \(J=[0, T], \, T>0\), \(0<\alpha <1\), \(_0^{*}{\mathcal {D}}_{\tau }^\alpha \) denotes the ABR-fractional differential operator of order \(\alpha \) and \(f\in C(J\times \mathbb {R},\mathbb {R})\) is a non-linear function.
We derive an equivalent fractional integral equation to ABR-FDEs (1.1)–(1.2) analytically and via Laplace transform. Using the properties of fractional integral operator \(\mathcal {E}_{\rho ,\mu ,\omega ;a+}^\gamma \), we derive some supplementary results. The existence of solution is obtained by using Krasnoselskii’s fixed point theorem. We obtain uniqueness of solution via Gronwall-Bellman inequality as well as using the properties of fractional integral operator \(\mathcal {E}_{\rho ,\mu ,\omega ;a+}^\gamma \). The boundedness and the continuous dependence of the solution is obtained through Gronwall-Bellman inequality for continuous function.
We organize our work as follows: In sect. 2, we recall basic definitions and results about AB-fractional derivative and the generalised Mittag-Leffler function. In sect. 3, we derive an equivalent fractional integral equation to ABR-FDEs (1.1)–(1.2) analytically as well as using the Laplace transform. In sect. 4, we derive supplementary results and existence and uniqueness of solution. In sect. 5, we derive boundedness and data dependence of solution. In sect. 6, an example is provided to illustrate the existence results.
2 Preliminaries
In this section, we recall basic definitions and results about AB-fractional derivative and the generalised Mittag-Leffler function.
Definition 2.1
[31] Let \(p\in [1,\infty )\) and \(\Omega \) be an open subset of \(\mathbb {R}\), the Sobolev space \(H^p(\Omega )\) is defined by
Definition 2.2
[18] Let \(\omega \in H^1(0,1)\) and \(0<\alpha <1\). Then, the left Atangana-Baleanu fractional derivative of \( \omega \) of order \(\alpha \) in Riemann-Liouville sense (ABR derivative) is defined by
where \(B(\alpha )>0\) is a normalization function satisfying \(B(0)=B(1)=1\) and \(\mathbb {E}_\alpha \) is one parameter Mittag-Leffler function.
Definition 2.3
[18] Let \(\omega \in H^1(0,1)\) and \(0<\alpha <1\). Then, the left Atangana-Baleanu fractional derivative of \( \omega \) of order \(\alpha \) in Caputo sense is defined by
where \(B(\alpha )>0\) is a normalization function satisfying \(B(0)=B(1)=1\) and \(\mathbb {E}_\alpha \) is one parameter Mittag-Leffler function.
Definition 2.4
[45, 46] The generalized Mittag-Leffler function \( \mathbb {E}_{\alpha ,\beta }^\gamma (z) \) for the complex \(\alpha ,\beta ,\gamma \) with Re(\(\alpha )>0\) is defined by
where \((\gamma )_k\) is the Pochhammer symbol given by
Note that
We need the following results related with Laplace transformation.
Lemma 2.1
[18] If \(\mathcal {L}\left\{ f(\tau );p \right\} =\bar{F}(p)\), then \(\mathcal {L}\left\{ _0^{*}\mathcal {D}_{\tau }^\alpha f(\tau );p \right\} =\dfrac{B(\alpha )}{1-\alpha }\dfrac{p^\alpha \bar{F}(p)}{p^\alpha +\frac{\alpha }{1-\alpha }}\).
Lemma 2.2
[2] \(\mathcal {L} \left[ \tau ^{k\alpha +\beta -1}\mathbb {E}_{\alpha ,\beta }^{(k)}(\pm a\tau ^\alpha );p\right] =\dfrac{k!p^{\alpha -\beta }}{(p^\alpha \mp a)^{k+1}}, \mathbb {E}^{(k)}(\tau )=\dfrac{d^k}{d\tau ^k}\mathbb {E}(\tau ).\)
Definition 2.5
[46, 47] Let \(\rho ,\mu ,\omega ,\gamma \in \mathbb {C}\) \((Re(\rho ),Re(\mu )>0), b>a\). Then, the fractional integral operator \(\mathcal {E}_{\rho ,\mu ,\omega ;a+}^\gamma \) on a class L(a, b) is defined by
Lemma 2.3
[46, 47] Let \(\rho ,\mu ,\omega ,\gamma \in \mathbb {C}\) \((Re(\rho ),Re(\mu )>0), b>a\), then the operator \(\mathcal {E}_{\rho ,\mu ,\omega ;a+}^\gamma \) is bounded on C[a, b] such that
where
Lemma 2.4
[46, 47] Let \(\rho ,\mu ,\omega ,\gamma \in \mathbb {C}\) \((Re(\rho ),Re(\mu )>0)\), then the operator \(\mathcal {E}_{\rho ,\mu ,\omega ;a+}^\gamma \) is invertible in the space L(a, b) and for \( f\in L(a, b) \) its left inversion is given by the relation
where \(\nu \in \mathbb {C}, \, (Re(\nu )>0)\) and \(\mathcal {D}^{\mu +\nu }_{a+}\) is the Riemann-Liouville fractional differential operator of order \(\mu +\nu \) with lower terminal a.
Lemma 2.5
[46, 47] Let \(\rho ,\mu ,\omega ,\gamma \in \mathbb {C}\) \((Re(\rho ),Re(\mu )>0)\). If the integral equation
is solvable in the space L(a, b), then its unique solution \( \phi (\tau )\) is given by
where \(\nu \in \mathbb {C}, \, (Re(\nu )>0)\) and \(\mathcal {D}^{\mu +\nu }_{a+}\) is the Riemann-Liouville fractional differential operator of order \(\mu +\nu \) with lower terminal a.
Lemma 2.6
(Krasnoselskii’s Fixed Point Theorem [15]) Let \(\Omega \) be a Banach space. Let \(\mathcal {S}\) be a bounded, closed, convex subset of \(\Omega \) and let \(\mathcal {F}_1,\mathcal {F}_2\) be maps of \(\mathcal {S} \) into \(\Omega \) such that \(\mathcal {F}_1\omega +\mathcal {F}_2\eta \in \mathcal {S} \) for every pair \(\omega ,\eta \in \mathcal {S}\). If \(\mathcal {F}_1\) is contraction and \(\mathcal {F}_2\) is completely continuous, then the equation
has a solution on \(\mathcal {S}\).
Lemma 2.7
( Gronwall-Bellman inequality [48]) Let u and f be continuous and nonnegative functions defined on \(J = [\alpha , \beta ],\) and let c be a nonnegative constant. Then the inequality
implies that
3 Equivalent fractional integral equation
In this section we obtain an equivalent fractional integral equation to the ABR-FDEs (1.1)-(1.2) by analytical method and then by using by the method of Laplace transform.
Theorem 3.1
For any function \(h\in C(J)\), the function \(\omega \in C(J)\) is a solution of ABR-FDEs
if and only if \(\omega \) is a solution of fractional integral equation
Proof 1:
Using definition of ABR-fractional derivative, Eq.(3.1) can be written as
Integrating both sides of above equation between the limits 0 to \(\tau \), we obtain
which gives desired fractional integral Eq.(3.3).
Conversely, if \(\omega \in C(J) \) satisfies fractional integral Eq.(3.3), then differentiating both sides of Eq.(3.3) with respect to \(\tau \), we obtain
Using definition of ABR-fractional derivative, we get Eq. (3.1). Further putting \(\tau =0\) in Eq. (3.3), we get initial condition (3.2).
Proof 2: Taking Laplace transform of both sides of Eq.(3.1), we get
Then using formula for Laplace transform of ordinary and ABR-fractional derivative given in Lemma 2.1, we get
where \(\bar{W}(p)=\mathcal {L}[\omega (\tau );p]\) and \(\bar{H}(p)=\mathcal {L}[h(\tau );p]\). Using initial condition (3.2), we rewrite the above equation as
Now taking inverse Laplace transform on both sides of above equation and using convolution theorem, Lemma 2.2, we obtain
From above equation, we have
which is desired fractional integral Eq. (3.3). \(\square \)
Remark 3.2
Using the definition of fractional integral operator \(\mathcal {E}_{\rho ,\mu ,\omega ;a+}^\gamma , \) the equivalent fractional integral equation (3.4) to the ABR-FDEs (3.1)-(3.2) is given by
Theorem 3.3
For any \(f\in C(J\times \mathbb {R},\mathbb {R})\), the function \(\omega \in C(J)\) is a solution of ABR-FDEs (1.1)–(1.2) if and only if \(\omega \) is a solution of fractional integral equation
Proof
Proof follows by taking \(h(\tau )=f(\tau ,\omega (\tau )), \tau \in J,\) in the Theorem 3.1. \(\square \)
The proof of following theorem is based on the properties of fractional integral operator \( \mathcal {E}_{\rho ,\mu ,\omega ;a+}^\gamma \) studied in [46, 47].
4 Existence and uniqueness results
Theorem 4.1
Let \(0<\alpha <1\). Define the function \(\mathcal {F} \) on C(J) by
Then:
-
(i)
\(\mathcal {F}\) is bounded linear operator on C(J).
-
(ii)
\(\mathcal {F} \) satisfies Lipschitz condition.
-
(iii)
\(\mathcal {F}(\mathcal {S})\) is equicontinuous, where \(\mathcal {S}\) is any bounded subset of C(J).
-
(iv)
\(\mathcal {F}\) is invertible and for any \(f\in C(J)\), the operator equation \(\mathcal {F}\omega =f \) has unique solution in C(J) .
Proof
(i) Since, by definition and Lemma 2.3, the integral operator \( \mathcal {E}_{\alpha ,1,\frac{-\alpha }{1-\alpha };0+}^1 \) is bounded and linear operator on C(J), such that
where we find
we have
Thus \(\mathcal {F}\) is bounded linear operator on C(J).
(ii) Let any \(\omega ,\eta \in C(J)\). Then using linearity of \(\mathcal {F}\) and boundedness of operator \( \mathcal {E}_{\alpha ,1,\frac{-\alpha }{1-\alpha };0+}^1 \), we find for any \(\tau \in J\),
This gives
Thus the operator \(\mathcal {F}\) satisfies Lipschitz condition with Lipschitz constant \( T\dfrac{B(\alpha )}{1-\alpha }\mathbb {E}_{\alpha ,2}\left( {\frac{\alpha }{1-\alpha } T^\alpha }\right) \).
(iii) Let \(\mathcal {S}=\left\{ \omega \in C(J):\Vert \omega \Vert \le R \right\} \) be any closed, bounded subset of C(J). Then for any \(\omega \in \mathcal {S}\) and any \(\tau _1,\tau _2\in J\) with \(\tau _1<\tau _2\), we find
From above inequality it follows that, if \(|\tau _1-\tau _2|\rightarrow 0\) then \(|(\mathcal {F}\omega )\tau _1-(\mathcal {F}\omega )\tau _2|\rightarrow 0\). This prove that \( \mathcal {F}(\mathcal {S})\) is equicontinious on J.
(iv) Using Lemma 2.4 and Lemma 2.5, for any \(f\in C(J)\), we have
where \(\beta \in \mathbb {C}\), with \(Re(\beta )>0\).
Then using definition of operator \(\mathcal {F}\) and Eq. (4.2), we have
This prove that \(\mathcal {F}\) is invertible on C(J) and the operator equation
has the unique solution
\(\square \)
We have the following existence theorem for the particular case of ABR-FDEs (1.1)
Theorem 4.2
If the function \(f\in C(J\times \mathbb {R},\mathbb {R}) \), then ABR-FDEs \({}_0^{*}{\mathcal {D}}_{\tau }^\alpha \omega (\tau )= f(\tau ,\omega (\tau )),\) \( \tau \in J \) is solvable in C(J) and has solution in C(J) given by
where \( \beta \in \mathbb {C}, (Re(\beta )>0)\) and \( \, \tilde{f}(\tau )=\int _{0}^{\tau }f(\sigma ,\omega (\sigma ))d\sigma , \, \tau \in J.\)
Proof
The equivalent integral equation of ABR-FDE
is given by
Using definition of operator \(\mathcal {F}\) defined in Eq. (4.1), above equation can be written as
By Theorem 4.1, the operator Eq. (4.3) is solvable and has a solution in C(J) given by
\(\square \)
Now we derive existence and uniqueness results to the ABR-FDEs (1.1)–(1.2).
Theorem 4.3
(Existence Theorem.) Let the function \(f\in C(J\times \mathbb {R},\mathbb {R})\) satisfies Lipschitz type condition
where \(p:J\rightarrow \mathbb {R}^+\), with \(L=\underset{\tau \in J}{\sup } \, p(\tau )\). If \(0<L<\min \left\{ 1,\frac{1}{2T}\right\} ,\) then ABR-FDEs (1.1)–(1.2) has a solution in C(J) provided
Proof
Define,
By the choice of L and condition (4.4), we have \(R>0\).
Consider the set,
One can verify that \( \mathcal {S}\) is closed, convex and bounded subset of Banach space \(\Omega \). Consider the operators \(\mathcal {F}_1:\mathcal {S}\rightarrow \Omega \) and \(\mathcal {F}_2:\mathcal {S}\rightarrow \Omega \) defined by,
where we take \(\mathcal {F}\) as defined in the Eq.(4.1). The equivalent fractional integral Eq.(3.4) to the ABR– FDEs (1.1)–(1.2) can be written as operator equation in the following form
We prove that the operators \(\mathcal {F}_1\) and \(\mathcal {F}_2\) satisfies conditions of Lemma 2.6. The proof of the same have been given in following steps.
Step 1) \(\mathcal {F}_1\) is contraction.
Using Lipschitz condition on f, for any \(\omega ,\eta \in C(J)\) and \(\tau \in J\) we obtain,
This gives,
Step 2) \(\mathcal {F}_2\) is completely continuous.
Using Ascoli-Arzela theorem and Theorem 4.1, one can easily verify that the operator \(\mathcal {F}_2=-\mathcal {F}\) is completely continuous.
Step 3) \(\mathcal {F}_1\omega +\mathcal {F}_2\eta \in \mathcal {S}\), for \(\omega ,\eta \in \mathcal {S}\).
For any \(\omega ,\eta \in \mathcal {S}\), using Theorem 4.1, we obtain
By definition of R i.e. condition(4.4), we get
We write from inequalities (4.5) and (4.6)
This gives
This shows that \(\mathcal {F}_1\omega +\mathcal {F}_2\eta \in \mathcal {S}\), for \(\omega ,\eta \in \mathcal {S}\).
From steps 1 to 3, it follows that all the conditions of Lemma 2.6 are satisfied. Therefore by applying it, the operator equation
has a fixed point in \(\mathcal {S}\), which is a solution of ABR–FDEs (1.1)–(1.2). This completes the proof of the theorem. \(\square \)
In the following theorem we prove the uniqueness of solution to ABR-FDEs (1.1)-(1.2) in two different ways. Firstly we give the proof via properties of fractional integral operator \(\mathcal {E}_{\alpha ,1,\frac{-\alpha }{1-\alpha };0+}^1 \) and then by using the Gronwall-Bellman inequality.
Theorem 4.4
(Uniqueness Result) Under the assumptions of Theorem 4.3, the ABR-FDEs (1.1)–(1.2) has unique solution in C(J).
Proof 1:
The equivalent fractional integral equation to ABR-FDEs (1.1)–(1.2) can be written in operator equation form as
where
By Theorem 4.3, the operator Eq.(4.7) is solvable in C(J). Therefore by applying Lemma 2.5, the operator equation Eq.(4.7) has unique solution in C(J), which is the unique solution of ABR-FDEs (1.1)–(1.2).
Proof 2:
Let \(\omega ,\eta \) be two solutions of ABR-FDEs (1.1)–(1.2). Using linearity of fractional integral operator, we find for any \(\tau \in J\)
Applying Lemma 2.7, we get
which shows that \(\omega (\tau )=\eta (\tau )\), for all \(\tau \in J\). This proves the uniqueness of solution of ABR-FDEs (1.1)–(1.2).
5 Estimate on solution and data dependence
Theorem 5.1
Under the assumptions of Theorem 4.3, if \(\omega (\tau )\) is a solution of ABR-FDEs (1.1)–(1.2), then
Proof
If \(\omega (\tau )\) is a solution of ABR-FDEs (1.1)–(1.2), then it satisfies equivalent intgeral Eq.(3.4). Hence we write for any \(\tau \in J\),
Applying Lemma 2.7, we obtain
\(\square \)
In order to discuss the data dependence result, we consider ABR-FDEs
Theorem 5.2
Assume the conditions of Theorem 4.3 holds. Let \(\epsilon _i>0, \, i=1,2\) be any two real numbers such that,
where \(\eta (\tau )\) is a solution of ABR–FDEs (5.2)–(5.3). Then, the solution \(\omega (\tau )\) of (1.1)–(1.2) depends continuously on the function involved on the right side of Eq. (1.1).
Proof
Since \(\omega ,\eta \) are the solutions of ABR-FDEs (1.1)–(1.2) and (5.2)–(5.3) receptively. We find for any \(\tau \in J\)
Applying Lemma 2.7, we get
From Eq. (5.4) we observe that the solution \(\omega (\tau )\) of ABR-FDEs (1.1)–(1.2) depends continuously on the function involved the right side of Eq. (1.1). \(\square \)
Remark 5.3
Theorem 5.2 gives the dependency of the solution of the ABR-FDEs (1.1)—(1.2) simultaneously on the initial condition and the functions involved on the right-hand side. If \(\epsilon _1=0\) then it gives the dependency of solution on the function involved on right hand side, if \(\epsilon _2=0\) then it gives the dependency of solution on initial condition and if \(\epsilon _1=0\) and \(\epsilon _2= 0\) it gives the uniqueness of solution.
Let any \(\delta ,\delta _0\in \mathbb {R}\) and consider the following system of ABR-FDEs
The following theorem shows dependency of solution of ABR-FDEs (5.5) and (5.6) on parameters.
Theorem 5.4
Let the function g satisfies conditions of Theorem 4.3. Suppose there exists \(p,q\in C(J,\mathbb {R}^+)\) such that
If \(\omega _1, \,\omega _2\) are the solutions of ABR-FDEs (5.5) and (5.6) respectively, then
where \(Q=\underset{\tau \in J}{\sup } \, q(\tau ) .\)
Proof
We find for any \(\tau \in J\)
Applying Lemma 2.7, we get
\(\square \)
6 Example
Consider a nonlinear ABR-FDEs of the form
where \(f:J\times \mathbb {R}\rightarrow \mathbb {R}\) is a continuous nonlinear function such that
and
We observe that for any \(\omega ,\eta \in \mathbb {R}\) and for any \(\tau \in J\),
Thus the function f satisfies Lipschitz condition with Lipschitz constant \(L=\frac{1}{2}\). Compare with Theorem 4.3, we have \(\alpha =\frac{1}{2}\) and \(T=2\). Then the condition (4.4) reduces to
This implies
If we choose a normalizing function \(B(\alpha )\) satisfying above condition, then by applying Theorem 4.3, ABR-FDEs (6.1)-(6.2) has unique solution. One can verify that ABR-FDEs (6.1)-(6.2) has the unique solution
7 Conclusion
Because of the presence of the nonsingular kernel in the equivalent fractional integral equation to FDEs involving AB derivatives, we can reasonably apply the Gronwall-Bellman inequality with continuous real valued functions to investigate the qualitative properties. Of Course, special attention needs in the case of complex valued functions. Further, one can acquire various qualitative properties of the higher class of fractional integrodifferential equations involving the AB fractional derivative in the sense of Caputo and Riemann-Liouville through the inequalities derived by B. G. Pachpatte [48]. But Pachpatte’s inequalities can be applied only when the normalization function \(B(\alpha )\) is strictly positive satisfying \(B(0)=B(1)=1\).
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Sutar, S.T., Kucche, K.D. Existence and data dependence results for fractional differential equations involving atangana-baleanu derivative. Rend. Circ. Mat. Palermo, II. Ser 71, 647–663 (2022). https://doi.org/10.1007/s12215-021-00622-w
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DOI: https://doi.org/10.1007/s12215-021-00622-w
Keywords
- Multi-derivative fractional differential equations
- Atangana–Baleanu derivative
- Existence and uniqueness
- Dependence of solution
- Gronwall-Bellman inequality