ORIGINAL RESEARCH article

Front. Phys., 20 March 2020

Sec. Statistical and Computational Physics

Volume 8 - 2020 | https://doi.org/10.3389/fphy.2020.00064

Generalization of Caputo-Fabrizio Fractional Derivative and Applications to Electrical Circuits

  • 1. Department of Mathematics, College of Science, King Saud University, Riyadh, Saudi Arabia

  • 2. Department of Mathematics, National Institute of Technology, Jamshedpur, India

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Abstract

A new fractional derivative with a non-singular kernel involving exponential and trigonometric functions is proposed in this paper. The suggested fractional operator includes as a special case Caputo-Fabrizio fractional derivative. Theoretical and numerical studies of fractional differential equations involving this new concept are presented. Next, some applications to RC-electrical circuits are provided.

1. Introduction

In the recent decades, the theory of fractional calculus has brought the attention of a great number of researchers in various disciplines. Indeed, it was observed that the use of fractional derivatives is very useful for modeling many problems in engineering sciences (see e.g., [110]). Various notions of fractional derivatives exist in the literature. The basic notions are those introduced by Riemann-Liouville and Caputo (see e.g., [11]), which involve the singular kernel , 0 < α < 1. These fractional derivatives play an important role for modeling many phenomena in physics. However, as it was mentioned in Caputo and Fabrizio [12], certain phenomena related to material heterogeneities cannot be well-modeled using Riemann-Liouville or Caputo fractional derivatives. Due to this fact, Caputo and Fabrizio [12] suggested a new fractional derivative involving the non-singular kernel , 0 < α < 1. Later, Caputo-Fabrizio fractional derivative was used by many authors for modeling various problems in engineering sciences (see e.g., [1324]). Furthermore, other fractional derivatives with non-singular kernels were introduced by some authors (see e.g., [10, 2529]).

In this paper, a new fractional derivative with a non-singular kernel involving exponential and trigonometric functions is proposed. The introduced fractional derivative includes as a special case Caputo-Fabrizio fractional derivative. Theoretical and numerical investigations of fractional differential equations involving this new fractional operator are presented. Next, some applications to electrical circuits are provided.

In section 2, some preliminaries on harmonic analysis are presented. In section 3, we develop a general theory of fractional calculus using an arbitrary non-singular kernel. In section 4, we introduce a generalized Caputo-Fabrizio fractional derivative and study its properties. Some applications to fractional differential equations are given in section 5. A numerical method based on Picard iterations is presented in section 6 with some numerical examples. In section 7, some applications to RC-electrical circuits are provided.

2. Some Preliminaries on Harmonic Analysis

We recall briefly some results on harmonic analysis that will be used later.

Lemma 2.1. Folland [30]. Let ψ ∈ L1(ℝ) be such that

Consider the sequence of functions {ψε}ε>0 defined by

If μ ∈ L1(ℝ), then

and

where * denotes the convolution product.

Lemma 2.2. Let ψ ∈ L1(0, ∞) be such that

Consider the sequence of functions {ψε}ε>0 defined by

If μ ∈ L1(0, ∞), then the sequence of functionsdefined by

satisfies the following properties:

and

Proof: For any function f defined almost every where in (0, ∞), let

From (2.1), one has and

Hence, by Lemma 2.1, for all fL1(ℝ), we have

and

where

In particular, for μ ∈ L1(0, ∞), we have

and

For all t > 0, we have

Hence, using (2.2) and (2.3), one obtains

and

This completes the proof of Lemma 2.2.

Definition 2.1. We say thatfis of exponential order θ, if fortlarge enough, one has

whereC > 0 and θ are constants.

We denote by the Laplace transform of the function f, i.e.,

Recall that, if fC[0, ∞) and f is of exponential order θ, then exists for s > θ.

We denote by ℕ the set of positive integers.

Lemma 2.3. Schiff [31]. Let n ∈ ℕ. If fCn[0, ∞) and for all i = 0, 1, ⋯ , n − 1, the function f(i)is of exponential order, then

3. Fractional Derivative With an Arbitrary Non-singular Kernel

We consider the set of non-singular kernel functions

Definition 3.1. Given, 0 < α < 1 andfC1[0, ∞), the fractional derivative of order α offwith respect to the non-singular kernel functionkis defined by

Remark 3.1. We can also definefor functions fAC[0, ∞) (fis an absolutely continuous function in [0, ∞)). In this case, f′(t) exists for almost every where t > 0 and f′ ∈ L1(0, ∞).

The following properties hold.

Theorem 3.1. Letand fC1[0, ∞). Then

  • (i) For all 0 < α < 1,

  • (ii) If f′ ∈ L1(0, ∞), one has

and

Proof: (i) Let 0 < α < 1. For 0 < t<T < ∞, one has

where . Passing to the limit as t → 0+ in the above inequality, (i) follows.(ii) Suppose that f′ ∈ L1(0, ∞). For 0 < α < 1, let . One has

where

Hence, using Lemma 2.2, (ii) follows.

Definition 3.2. Given, 0 < α < 1, n ∈ ℕ∪{0} andfCn + 1[0, ∞), the fractional derivative of order α+noffwith respect to the non-singular kernelkis defined by

Remark 3.2. We can also definefor functions fACn + 1[0, ∞). In this case, fn + 1(t) exists for almost every where t > 0 and f(n + 1)L1(0, ∞).

Similarly to the case n = 0, one has

Theorem 3.2. Let, n ∈ ℕ ∪{0} and fCn + 1[0, ∞). Then

  • (i) For all 0 < α < 1,

  • (ii) If f(n + 1)L1(0, ∞), then

and

Remark 3.3. From the assertion (ii) of Theorem 3.2, if f(n+1) ∈ L1(0, ∞), one has

Theorem 3.3. Given, 0 < α < 1, n ∈ ℕ ∪{0} andfCn + 1[0, ∞) with f(i), i = 0, 1, ⋯  , n, are of exponential order, one has

where

Proof: One has

Using Fubini's theorem, one obtains

Using the change of variable τ = t − σ, it holds

Hence, by (3.2), one deduces that

Next, using Lemma 2.3, we obtain

which yields the desired result.

4. A Generalized Caputo-Fabrizio Fractional Derivative

Consider the kernel function

where a > 0 and b ≥ 0 are constants. It can be easily seen that

where is the set of kernel functions defined by (3.1). Hence, using Definition 3.2, we define the fractional derivative with respect to the kernel function ka, b as follows.

Definition 4.1. Givena > 0, b ≥ 0, 0 < α < 1, n ∈ ℕ∪{0} andfCn + 1[0, ∞), the fractional derivative of order α+noffwith respect to the kernel functionka, bis defined by

Remark 4.1. Takinga = 1 andb = 0 in the above definition, one obtains

whereis the Caputo–Fabrizio fractional derivative operator of order α + n (see [12]).

Remark 4.2. Definition 4.1 can be extended to the case of functions fCn + 1[0, T], where 0 < T < ∞.

From (4.1) and Theorem 3.2, one deduces that

Corollary 4.1. Let a > 0, b ≥ 0, n ∈ ℕ∪{0} andfCn + 1[0, ∞). Then

  • (i) For all 0 < α < 1,

  • (ii) If f(n + 1)L1(0, ∞), then

and

Let

that is,

Lemma 4.1. Abramowitz and Stegun [32]. Let a > 0, b ≥ 0 and 0 < α < 1. Then

Using Theorem 3.3 and Lemma 4.1, one deduces that

Corollary 4.2. Leta > 0, b ≥ 0, 0 < α < 1, n ∈ ℕ∪{0} andfCn + 1[0, ∞) withf(i), i = 0, 1, ⋯ , n, are of exponential order. Then

For n = 0, one obtains

Corollary 4.3. Leta > 0, b ≥ 0, 0 < α < 1 andfC1[0, ∞) withfis of exponential order. Then

5. Applications to Fractional Differential Equations

Let a > 0, b ≥ 0, 0 < T < ∞ and 0 < α < 1.

Definition 5.1. LetgC[0, T]. The fractional integral of order α ofgis defined by

with .

Given f0 ∈ ℝ and gC1[0, T] with g(0) = 0, we consider the initial value problem

Theorem 5.1. Problem (5.1) admits a unique solution fC1[0, T], which is given by

Proof: Let fC1[0, T] be a solution of (5.1). One has

By Definition 4.1, one has

where

On the other hand,

Integrating the above equality and using that γ(0) = 0, one obtains

Hence by (5.4), one deduces that

Next, using (5.3), one obtains

Integrating the above equality, using that f(0) = f0 and g(0) = 0, it holds

On the other hand, using Fubini's theorem, one gets

It follows from (5.5) and (5.6) that

i.e., f is a solution of (5.2).

Suppose now that f satisfies (5.2). Clearly, one has fC1[0, T]. Since g(0) = 0, one has f(0) = f0. On the other hand, an elementary calculation shows that for all 0 < t < T. Therefore, f is a solution of (5.2).

Consider now the non-linear initial value problem

where the function F:[0, T] × ℝ → ℝ is continuous and satisfies F(0, u0) = 0.

Definition 5.2. We say thatuC[0, T] is a weak solution of (5.7), ifusolves the integral equation

i.e.,

for all 0 ≤ tT.

Remark 5.1. Observe that, if FC1([0, T] × ℝ), and uC1[0, T] is a solution of (5.7), then uC[0, T] is a weak solution of (5.7).

Theorem 5.2. Suppose that

where ℓ > 0 is a constant. If

whereand, then (5.7) admits a unique weak solution u*C[0, T]. Moreover, for any z0C[0, T], the Picard sequence {zn} defined by

for all 0 ≤ tT, converges uniformly tou*.

Proof: Consider the self-mapping H : C[0, T] → C[0, T] defined by

for all 0 ≤ tT. We endow C[0, T] with the norm

Then (C[0, T], ||·||) is a Banach space. For all u, vC[0, T] and 0 ≤ tT, using (5.8), one has

which yields

Hence by (5.9), one deduces that H is a contraction. Therefore, the result follows from Banach fixed point theorem.

6. Numerical Solution via Picard Iteration

Consider the initial value problem

where 0 < α < 1. For α = 1, (6.1) reduces to

The exact solution of (6.2) is given by

(6.1) is a special case of (5.7) with T = 1, a = b = 1, u0 = −3 and . One can check easily that F satisfies (5.8) with . Moreover, one has

Hence by Theorem 5.2, (6.1) has a unique weak solution u*C[0, 1]. Consider now the Picard sequence {zn} ⊂ C[0, 1] given by z0(t) = −3 and

for all n = 0, 1, , 2, ⋯  By Theorem 5.2, the sequence {zn} converges uniformly to u*. In Figure 1A, for α = 0.95, we plot u1(t) [the exact solution of (6.2)], z1(t), z3(t), and z10(t). In Figure 1B, for α = 0.7, we plot z1(t), z3(t), and z10(t).

Figure 1

7. Applications to RC Electrical Circuits

In this section, we give some applications to RC electrical circuits using the generalized Caputo-Fabrizio fractional derivative introduced in section 4.

The governing ODE of an RC electrical circuit (see Figure 2) is given by

where V is the voltage, R is the resistance, C is the capacitance and μ(t) is the source of volt. In this part, we consider a fractional version of (7.1) using the generalized Caputo-Fabrizio fractional derivative introduced in section 4. Namely, using the following transformation suggested in [33]:

where σ is a positive parameter having dimensions of seconds, we obtain the fractional differential equation

where

Figure 2

We consider (7.3) with the source term

and the initial condition

In this case, (7.3) reduces to

where and B = −A. Applying the Laplace transform and using Corollary 4.3, one obtains

Using (7.4), it holds

where

By Laplace transform inverse, one gets

Examples. All simulations are obtained using MATLAB 7.5. Consider an RC circuit with R = 10Ω, C = 0.1F, ϕ = 15 and σ = RCα. In this case, we have , A = −α1−α(RC)−α and B = α1−α(RC)−α. Figure 3 shows the voltage V(t) for different values of α in the case (a, b) = (1, 0) (Caputo-Fabrizio case). Figure 4 shows the voltage V(t) for different values of α in the case . Figure 5 shows the voltage V(t) for different values of α in the case (a, b) = (10, 3).

Figure 3

Figure 4

Figure 5

8. Conclusion

In this contribution, we suggested a fractional derivative involving the kernel function

In the particular case (a, b) = (1, 0), the above function reduces to Caputo-Fabrizio kernel. We studied fractional differential equations via this new concept in both theoretical and numerical aspects. In the theoretical point of view, we investigated the existence and uniqueness of solutions to non-linear fractional boundary value problems involving the new introduced fractional derivative. Namely, using Banach fixed point theorem, the existence and uniqueness of weak solutions to (5.7) was established under certain conditions imposed on the non-linear term F and the parameters a, b and α. In the numerical point of view, a numerical algorithm based on Picard iterations was proposed for solving the considered problem. Numerical experiments were provided using as a model example the fractional boundary value problem (6.1). In Figure 1, we presented the exact solution (u1(t)) for α = 1 and numerical solutions z1(t), z3(t), and z10(t) to (6.1) for α ∈ {0.95, 0.7}. One observes that for n = 10, zn(t) is close enough to u1(t), which confirms the convergence of the proposed algorithm. Finally, as application, we proposed a fractional model of an RC electrical circuit using the new introduced fractional derivative. One can compare the voltage V(t) obtained for different values of α in the Caputo-Fabrizio case (a, b) = (1, 0) (see Figure 3) with that obtained using different values of (a, b) (see Figures 4, 5). Namely, one can show that the voltage V(t) obtained with the use of the generalized fractional Caputo-Fabrizio derivative is more stable with respect to α than that obtained with the use of Caputo-Fabrizio fractional derivative.

Statements

Data availability statement

All datasets generated for this study are included in the article/supplementary material.

Author contributions

All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.

Funding

BS was supported by Researchers Supporting Project RSP-2019/4, King Saud University, Riyadh, Saudi Arabia.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

  • 1.

    FrunzoLGarraRGiustiALuongoV. Modeling biological systems with an improved fractional Gompertz law. Commun Nonlinear Sci Num. (2019) 74:2607. 10.1016/j.cnsns.2019.03.024

  • 2.

    GaoWVeereshaPPrakashaDBaskonusHMYelG. A powerful approach for fractional Drinfeld-Sokolov-Wilson equation with Mittag-Leffler law. Alex Eng J. (2019) 58:130111. 10.1016/j.aej.2019.11.002

  • 3.

    GaoWYelGBaskonusHMCattaniC. Complex solitons in the conformable (2+1)-dimensional Ablowitz-Kaup-Newell-Segur equation. AIMS Math. (2020) 5:50721. 10.3934/math.2020034

  • 4.

    JleliMKiraneMSametB. A numerical approach based on ln-shifted Legendre polynomials for solving a fractional model of pollution. Math Methods Appl Sci. (2017) 40:735667. 10.1002/mma.4534

  • 5.

    QinSLiuFTurnerIYangQYuQ. Modelling anomalous diffusion using fractional Bloch-Torrey equations on approximate irregular domains. Comput Math Appl. (2018) 75:721. 10.1016/j.camwa.2017.08.032

  • 6.

    SongFYangH. Modeling and analysis of fractional neutral disturbance waves in arterial vessels. Math Model Nat Phenom. (2019) 14:301. 10.1051/mmnp/2018072

  • 7.

    SrivastavaHGunerhanH. Analytical and approximate solutions of fractional-order susceptible-infected-recovered epidemic model of childhood disease. Math Methods Appl Sci. (2019) 42:93541. 10.1002/mma.5396

  • 8.

    SrivastavaHSaadK. Some new models of the time-fractional gas dynamics equation. Adv Math Model Appl. (2018) 3:517.

  • 9.

    YangXMachadoJBaleanuD. Exact traveling-wave solution for local fractional Boussinesq equation in fractal domain. Fractals. (2018) 25:1740006. 10.1142/S0218348X17400060

  • 10.

    YangXMahmoudACattaniC. A new general fractional-order derivative with Rabotnov fractional-exponential kernel applied to model the anomalous heat transfer. Therm Sci. (2019) 23:167781. 10.2298/TSCI180825254Y

  • 11.

    MachadoJKiryakovaVMainardiF. Recent history of fractional calculus. Commun Nonlinear Sci Numer Simul. (2011) 16:114053. 10.1016/j.cnsns.2010.05.027

  • 12.

    CaputoMFabrizioM. A new definition of fractional derivative without singular kernel. Progr Fract Differ Appl. (2015) 1:113. 10.12785/pfda/010201

  • 13.

    AliFSaqibMKhanISheikhN. Application of Caputo-Fabrizio derivatives to MHD free convection flow of generalized Walters'-B fluid model. Eur Phys J Plus. (2016) 131:377. 10.1140/epjp/i2016-16377-x

  • 14.

    AtanganaA. On the new fractional derivative and application to nonlinear Fisher's reaction-diffusion equation. Appl Math Comput. (2016) 273:94856. 10.1016/j.amc.2015.10.021

  • 15.

    BhatterSMathurAKumarDSinghJ. A new analysis of fractional Drinfeld–Sokolov–Wilson model with exponential memory. Phys A. (2020) 573:122578. 10.1016/j.physa.2019.122578

  • 16.

    CaputoMFabrizioM. Applications of new time and spatial fractional derivatives with exponential kernels. Progr Fract Differ Appl. (2016) 2:111. 10.18576/pfda/020101

  • 17.

    GaoFYangXJ. Fractional Maxwell fluid with fractional derivative without singular kernel. Therm Sci. (2016) 20:8717. 10.2298/TSCI16S3871G

  • 18.

    Gómez-AguilarJYépez-MartinezHCalderón-RamónCCruz-OrdunaIEscobar-JiménezROlivares-PeregrinoictorV. Modeling of a mass-spring-damper system by fractional derivatives with and without a singular kernel. Entropy. (2015) 17:6289303. 10.3390/e17096289

  • 19.

    HristovJ. Transient heat diffusion with a non-singular fading memory: from the Cattaneo constitutive equation with Jeffrey's kernel to the Caputo-Fabrizio time-fractional derivative. Therm Sci. (2016) 20:76570. 10.2298/TSCI160112019H

  • 20.

    KumarDSinghJAl QurashiADB. A new fractional SIRS-SI malaria disease model with application of vaccines, antimalarial drugs, and spraying. Adv Differ Equat. (2019) 2019:278. 10.1186/s13662-019-2199-9

  • 21.

    KumarDSinghJBaleanuDSushilaD. Analysis of regularized long-wave equation associated with a new fractional operator with Mittag-Leffler type kernel. Phys A. (2018) 492:15567. 10.1016/j.physa.2017.10.002

  • 22.

    KumarDSinghJTanwarKBaleanuD. A new fractional exothermic reactions model having constant heat source in porous media with power, exponential and Mittag-Leffler laws. Int J Heat Mass Transf. (2019) 138:12227. 10.1016/j.ijheatmasstransfer.2019.04.094

  • 23.

    LosadaJNietoJ. Properties of a new fractional derivative without singular kernel. Progr Fract Differ Appl. (2015) 1:8792. 10.12785/pfda/010202

  • 24.

    SinghJKumarDBaleanuD. New aspects of fractional Biswas-Milovic model with Mittag-Leffler law. Math Model Nat Phenom. (2019) 14:303. 10.1051/mmnp/2018068

  • 25.

    AtanganaABaleanuD. New fractional derivative with non-local and non-singular kernel. Therm Sci. (2016) 20:75763. 10.2298/TSCI160111018A

  • 26.

    GaoWGhanbariBBaskonusHM. New numerical simulations for some real world problems with Atangana-Baleanu fractional derivative. Chaos Solit Fract. (2019) 128:3443. 10.1016/j.chaos.2019.07.037

  • 27.

    JaradFAbdeljawadTHammouchZ. On a class of ordinary differential equations in the frame of Atangana-Baleanu fractional derivative. Chaos Solit Fract. (2019) 117:1620. 10.1016/j.chaos.2018.10.006

  • 28.

    KumarDSinghJBaleanuD. On the analysis of vibration equation involving a fractional derivative with Mittag-Leffler law. Math Methods Appl Sci. (2019) 43:44357. 10.1002/mma.5903

  • 29.

    SinghJKumarDHammouchZAtanganaA. A fractional epidemiological model for computer viruses pertaining to a new fractional derivative. Appl Math Comput. (2018) 316:50415. 10.1016/j.amc.2017.08.048

  • 30.

    FollandGB. Fourier Analysis and Its Applications. Providence, RI: American Mathematical Society (1992).

  • 31.

    SchiffJ. The Laplace Transform: Theory and Applications. New York, NY: Springer (2013).

  • 32.

    AbramowitzMStegunI. Handbook of Mathematical Functions With Formulas, Graphs, and Mathematical Tables. New York, NY: Dover (1972).

  • 33.

    Gómez-AguilarJRazo-HernándezRGranados-LiebermanD. A physical interpretation of fractional calculus in observables terms: analysis of the fractional time constant and the transitory response. Rev Mex Fis. (2014) 60:328.

Summary

Keywords

fractional derivative, non-singular kernel, Picard iteration, RC-electrical circuit, convergence

Citation

Alshabanat A, Jleli M, Kumar S and Samet B (2020) Generalization of Caputo-Fabrizio Fractional Derivative and Applications to Electrical Circuits. Front. Phys. 8:64. doi: 10.3389/fphy.2020.00064

Received

25 December 2019

Accepted

28 February 2020

Published

20 March 2020

Volume

8 - 2020

Edited by

Jagdev Singh, JECRC University, India

Reviewed by

Haci Mehmet Baskonus, Harran University, Turkey; Devendra Kumar, University of Rajasthan, India

Updates

Copyright

*Correspondence: Sunil Kumar

This article was submitted to Mathematical Physics, a section of the journal Frontiers in Physics

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