Fractional soliton dynamics of electrical microtubule transmission line model with local M-derivative

Nauman Raza,Saima Arshed,Kashif Ali Khan,Mustafa Inc

Communications in Theoretical Physics ›› 2021, Vol. 73 ›› Issue (9) : 95002.

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Communications in Theoretical Physics ›› 2021, Vol. 73 ›› Issue (9) : 95002. DOI: 10.1088/1572-9494/ac0a67
Mathematical Physics

Fractional soliton dynamics of electrical microtubule transmission line model with local M-derivative

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Abstract

In this paper, two integrating strategies namely exp[ϕ(χ)] and GG2-expansion methods together with the attributes of local-M derivatives have been acknowledged on the electrical microtubule (MT) model to retrieve soliton solutions. The said model performs a significant role in illustrating the waves propagation in nonlinear systems. MTs are also highly productive in signaling, cell motility, and intracellular transport. The proposed algorithms yielded solutions of bright, dark, singular, and combo fractional soliton type. The significance of the fractional parameters of the fetched results is explained and presented vividly.

Key words

solitons solution / microtubule / nonlinear transmission line / (GG2)-expansion method

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Nauman Raza, Saima Arshed, Kashif Ali Khan, et al. Fractional soliton dynamics of electrical microtubule transmission line model with local M-derivative[J]. Communications in Theoretical Physics, 2021, 73(9): 95002 https://doi.org/10.1088/1572-9494/ac0a67

1. Introduction

The investigation of a nonlinear routine is mandatory to understand the principles of the universe. Because of the wide significance of physical systems, the dissemination of modulated matter-waves like the solitary waves is the significance parameter as it is persisting for several years. To expedite the solitons experiment, Russel [1] in 1834 started work on it, and Zabusky et al [2] performed computer simulation regarding these soliton waves. The said domain of research in the systems of nonlinear theory has flourished as a rich field in the last three decades. No doubt, representation of chaotic electrical transmission (ET) lines are managed by laboratory experiments but these are very narrow in numbers. Further, the influence of network properties along the nonlinear ET lines was done by Pelap et al [3] where the soliton’s energy has been talked over with several frequency modes and inductances. Apart from that, some of the modern development of mathematical physics animated the probe of solutions [46] for nonlinear equations which boost-up in the myriad fields of physics. These unfolding are imperative in observing the principles of physical systems. In the ongoing past, there are multiple but distinctive ongoing schemes for integrability that choose several traveling wave solutions of diverse nonlinear evolutionary equations. These schemes incorporate the technique of Jacobi elliptic, extended trial equation, F-expansion, the generalized differential transform, modified simple equation, Adomian decomposition, the GG-expansion, the first integral, sine-cosine algorithm, the single wave ansatz strategy, and a series of other schemes mentioned in [79].
Microtubules (MTs) are one of the three principal components of cytoskeletal polymers involved in a certain figure of particular cellular actions incorporating the organelle’s traffic using motor proteins, cellular engineering, cell division, motility, and a doable functioning in information processing within neuronal tasking. MT are hollow cylinders with a lumen, a polymer of alpha-tubulin and beta-tubulin. As they join/fuse, they make a dimer. The dimer has two identical or similar tubulin, named as a heterodimer. These dimers arrange themselves in head the tail manner and forming protofilaments (PFs). Thirteen of these PFs make a long chain of polymers and these polymers will put together in the form of a sheet and this sheet is rolled or converted into a tube. That is called a MT whose diameter is 25 nm thick. Its applications are in cardiac growth like the cardiomyocyte MT network (which is implemented in hypertrophy). According to what MTs work and exercise the electrical signals/electrical information was still untold in a larger sense. Sataric et al [10] launched the new model of MT as a chaotic ET line converted it into some rings. And developed a stochastic mathematical relation for the local electrostatic potential integrated with the ionic wave disseminating along an MT. Further, he [11] presents a nonlinear dimer's dynamics structure within MTs. And with the help of numerical and analytic techniques, the kink soliton solution is formed, which is superintended for the energy shifting along the MTs. The dynamical behavior of MTs can be modified into the nonlinear equation(s). These equations portrayed the natural experiences into the mathematical prototypes that crop up in the several fields of engineering, optical fibers, human biology, fluid mechanics, geochemistry, etc. In the current article, the electrical MT model and impact of capacitance nonlinearity on the engendering of ionic heartbeats are diagnostically considered. Quickened movement of the MT offers to ascend to electrodynamic wonders which assumes a crucial job in intracellular flagging and data handling [1224]. Nur et al [25] present a methodology to elucidate the solutions of nonlinear equations depicting the MT dynamics by the aid of exp[ϕ(χ)]-expansion method. The majority of these electrodynamic frameworks happen as nonlinear halfway differential conditions. These conditions have moved toward becoming a consideration in pretty much every field of life, for example, hypothetical material science, material science, liquid elements, acoustics, cosmology, oceanography, astronomy, atomic physics and plasma material science, shallow water wave stream, nonlinear optics [26, 27], and some with biophysical implications can be seen in [28, 29].
Fractional calculus (FC) is known as the extension of integer-order calculus [30]. And most of the investigation of derivatives and anti-derivatives of non-integer (arbitrary, real, or complex) order is one of the emerging branches of (FC), as FC has a lot of significance in the numerous fields of science and engineering: at present its applications can be seen in the economy, fluid mechanics, image processing, biological models, and the most impressive in weather-controlling. Usage of special functions also provides insights into the importance of FC in the other branches of mathematics. Some of the certain attributes of FC involve rules of linearity, product, quotient rule and, chain rule, also include the definition of function composition in the calculus of integer-order. Especially, the attributes of FC are connected with the ordinary calculus of order one, as we set the order of the FC equal to one. In 2014, Khalil is the person who prompted the ‘local derivative’, that is persistent with the classical description of derivatives and holds all the patent obligations of the said rate of change, but note that, it does not meet the criteria of some famous results like theorem of mean value, extended mean value, and Roll’s theorem [31]. To remove that glitch, in 2018, the local M-derivative have been introduced by Sousa et al, where this new definition endorsed the idea prompted by Khalil et al and fulfill all of the above attributes [32].
In fractional derivative, several useful techniques have been introduced in multiple investigations to cite the nonlinear fractional evolution equations for exploring the traveling wave solutions [3335]. Currently, Gao et al [36] suggested an easy method, the modified expansion function method plus the sinh-Gordon technique to expedite some new solitons solutions with the M-fractional paraxial wave equation. And under the influence of several nonlinear forms, Ghafri et al [37] explored the symmetry version in the fractional Ginzburg–Landau equation. Further, Fujioka et al [38] discussed the fractional dimensions by creating the fractional optical solutions in a generalized nonlinear Schrödinger equation.
No doubt, the mathematical processes managed with derivatives and integrals of arbitrary and complex orders are named FC. So, it opens a smart window to describe and understand the behavior of complex systems in an upgraded way. To apprehend the dynamics of biological systems, mathematical prototypes employing ordinary differential equations with integer-order, have been significantly utilized. But the attributes of most biological models have memory or aftereffects. These effects have a significant role in the disease spread. The disease spread in the future will be influenced by the involvement of memory effects on past events. The distance of memory effect reveals the history of disease dissemination. Thus, memory effects on the escalation of an infectious malady can be probed with the aid of fractional derivatives. And the development of such models by fractional differential equation has more privileges than classical integer-order mathematical modeling, in which such actions are abandoned. In some cases, the models of FODEs look more well established with the real happening than the integer-order models. The reason behind that FD activates the description of the memory and hereditary attributes inherent in numerous materials and mechanisms. So, there is an exponential need to study and use the differential of fractional-order as proposed by Rihan and Utoyo [39, 40]. Some of the current examinations in biological science proposed that MT dynamics in the adult brain function is the crucial process of learning and memory and it may be agreed in degenerative maladies, such as Alzheimer's disease. This enhances the likelihood of targeting MT dynamics in the making of current therapeutic agents as can be noticed in [40, 41]. FC is also appropriate for designing the electrical attributes of biological models. As Zoran et al [42] found a modern family of generalized prototypes for electrical impedance and invoked them to human skin by laboratory data fitting. Baleanu with other authors [43] present research by adopting some productive integration schemes to achieve the outcomes of optical soliton space–time-fractional nonlinear equation for the MTs dynamics, which examined as one of the most significant parts in cellular processes of biology. They use the attributes of the fractional complex transformation and conformable derivatives which involve the results of hyperbolic, rational, complex, and exponential functions. The outcomes of this research in fractional medium provide significant upshots and grabbing the attributes of the nonlinear waves.
The current work is carried out to explore the effects of time-fractional evolution on the MT transmission lines model by employing the properties of local M-derivative. For its implementation, we are providing the general results or solutions of the proposed model by adopting exp[ϕ(χ)] and GG2-expansion methods together with graphical illustrations. The next part of the article is designed as follows: the elementary portion of the local M-derivative along with certain attributes is explained in the 2nd section. The concise overview of the adopted technique is insight in section 3. The detail of the suggested model is presented in section 4 and the quest of soliton results via suggested techniques can be seen in section 5. Results of the obtained solutions have been discussed in the same section. Lastly, section 6 provides the conclusion corner.

2. Interpretation of local M-derivative

This component proposed the fundamental attributes and definition of the local M-derivative [32]. If h:R+{0}R, 0<λ<1, and t>0 then the function h, which is defined as
DMλ,δ{h(t)}=limω0h(tEδ(ωtλ))h(t)ω,t>0,
(1)
is called the local M-derivative of order λ, where Eδ(), ω>0, is referred as the Mittag–Leffler function containing one parameter [44]. In the specified cut (0,b) and b>0, if h(t) is differentiable, and as one get the existence of limt0+DMλ,δ{h(t)},
DMλ,δ{h(0)}=limt0+DMλ,δ{h(t)},
(2)
and
DMλ,δ{g(t)}=t1δΓ(δ+1)g(t),
(3)
where =ddt, and then
DMλ,δ(Γ(δ+1)tλλ)=1.
(4)
Apply the chain rule, one get:
DMλ,δ(gh)(b)=g(h(b))DMλ,δh(b),
(5)
therefore, the connection from equations (4) and (5) can be determined mentioned below:
DMλ,δF[Γ(δ+1)λ1tλ]=F[Γ(δ+1)λ1tλ]DMλ,δ[Γ(δ+1)λ1tλ]=F[Γ(δ+1)λ1tλ],
(6)
together with
η=λ1lΓ(δ+1)tλ,
(7)
and eventually we get
DMλ,δ{F(η)}=lF(η).
(8)
where l represent some constant.

3. Suggested analytic techniques

This component provides the delineation of two suggested techniques like the exp[ϕ(χ)] and GG2-expansion method. Consider the following general nonlinear PDE
π(p,Dηp,Dζp,Dη2p,Dζηp,Dζ2p,)=0,
(9)
where p=p(ζ,η) is function to be determined. Invoking the wave transformation
p(ζ,η)=γ(χ),χ=ζcη,
(10)
the above PDE is reduced to nonlinear ODE as
S(γ,γ,γ,γ,)=0,
(11)
where =ddχ.

3.1. Method of exp[ϕ(χ)]-expansion

In the current method, the truncated series i.e. the wave solution of equation (9) is of the type
γ(χ)=i=0κpi(exp[ϕ(χ)])i,
(12)
where pi are the values to be evaluated and ϕ(χ) is the result or outcome of the below mentioned equation
ϕ(χ)=α+exp[ϕ(χ)]+βexp[ϕ(χ)].
(13)
Some of the cases related to the general solutions of equation (13) are mentioned below.
Case 1 When β0, α24β>0, then
ϕ1(χ)=ln(αα24βtanh(α24β2(χ+W))2β).
Case 2 When β0, α24β<0, then
ϕ1(χ)=ln(α+α24βtanh(α24β2(χ+W))2β).
Case 3 When β=0, α0, and α24β>0, then
ϕ3(χ)=ln(αcosh(α(χ+W))+sinh(α(χ+W))1).
Case 4 When β0, α0, and α24β=0, then
ϕ4(χ)=ln(2(α(χ+W))+2α2(χ+W)).
Case 5 When β=0, α=0, and α24β=0, then
ϕ5(χ)=ln(χ+W),
where W being the integration constant. The value of κ is originated from equation (11), by acknowledging a balance between greatest order derivative with greatest order nonlinearity.
Inserting the value of γ,γ in equation (11), we get
Q(exp(ϕ(χ)))=0.
As each powers of (exp[ϕ(χ)])j identified to zero, one can obtained a nonlinear network of algebraic equations in pi. After putting the values of pi in equation (12), the exact solutions are obtained for equation (9).

3.2. GG2-expansion method

In this technique, the truncated series i.e. the traveling wave solution of equation (9) is of the type
γ(χ)=a0+i=1κ(αi(GG2)i+βi(GG2)i),
(14)
Note it that, G=G(χ) is the result of an ODE.
(GG2)=β+α(GG2)2,
(15)
with the constraint that α0, β1 are integers. a0, αi, βi are constants to be found.
Below mentioned are some cases related to the general solutions of equation (15).
Case 1
If αβ>0,
GG2=βα(Tcosαβχ+UsinαβχUcosαβχTsinαβχ).
Case 2
If αβ<0,
GG2=|αβ|α(U+Tcosh(2|αβ|χ)+Tsinh(2|αβ|χ)U+Tcosh(2|αβ|χ)+Tsinh(2|αβ|χ)).
Case 3
If α0,β=0,
GG2=Tα(Tχ+U),
where T and U are nonzero constants. On the same way, the value of κ is originated from equation (11), by acknowledging a balance between greatest order derivative with greatest order nonlinearity.
Inserting the value of γ,γ in equation (11), we get
Ω(GG2)=0.
As each powers of (GG2)j identified to zero, one can obtained a network of nonlinear algebraic equations. After putting the figures of a0,αi,βi in equation (14), the exact solutions are obtained for equation (9).

4. Governing model

Contemplate
R2C0l2uxxt+l2uxx+2R1C0δuutR1ut=0.
(16)
as the structure of MTs like (nonlinear) RLC transmission line, where R1=109ΩX, R2=7×109 represent the longitudinal and transversal parcel of the resistance of an rudimentary ring, while l=8×109 and C0=1.8×1015F represent the length and entire maximal capacitance of the elementary rings (ER). δ (δ<1) is the tool to describe the nonlinear features of ER in MT. Note that, with an uprising concentration of counter-ions, the capacitance C0 should vary because of the βTTs variability. The connection between the elementary capacitor with voltage is chaotic, as like the charge-voltage connection for a reverse-biased diode junction. Now we consider the
Qn=C0VnC0bVn2.
(17)
the value of b is anticipated to be infinitesimal, and then from the figure 1 and after applying the local M-derivative , we can write down
Figure 1. Geometry of the nth ER betwixt the dotted lines.

Full size|PPT slide

Now from the nth MT ring, its section BC after applying the local M-derivative wave transformation and usage of section 2, we get:
vnvn+1=LDM,tλ;δIn+InR1,
(18)
where the voltages across the transmission lines AE and CF are vn and vn+1. Likewise, if Vn+V0 is the voltage over the variable type capacitor C0VnC0bVn2, then we get
vn=V0+Vn+(In1+In)R2.
(19)
Note it that, the bias-voltage of the capacitor is represented by V0. Further
In1In=DM,tλ;δQn
(20)
indicates the current through the line BD. From equation (18), we get
LDM,tλ;δIn1=vn1vnIn1R1
and
LDM,tλ;δIn=vnvn+1InR1.
Use equation (20), we will get
LDM,t2;δQn=vn+1+vn12vn+(InIn1)R1.
(21)
Further, it implies
LDM,t2,δ(C0VnC0bVn2)=vn+1+vn12vnR1C0DM,t1,δ(VnbVn2)R2C0{2DM,t1,δ(VnbVn2)DM,t1,δ(Vn+1bVn+12)DM,t1,δ(Vn1bVn12)}.
(22)
Remember that the voltage Vn switches moderately from the ring n to its vicinity, and with the help of Taylor’s expansion, we can carefully unfold Vn in a continuum estimation in the form of a small spatial parameter l,
Vn±1=V±lDM,tλ;δVx+l22!DM,tλ;δVxx±l33!DM,tλ;δVxxx+l44!DM,tλ;δVxxxx±....
(23)
and ignoring some higher order terms of l, we can express the Taylor expansion as
Vn+12Vn+Vn1=l2DM,tλ;δVxx+l412DM,tλ;δVxxxx.
(24)
Then equation (22) with the use of equations (23), (24) becomes
LC0DM,t2;δ(VbV2)=l2DM,tλ;δVxx+l412DM,tλ;δVxxxxR1C0DM,t1;δ(VbV2)+R2C0DM,t1;δ{l2DM,tλ;δVxx+l412DM,tλ;δVxxxx}R2C0bDM,t1;δ{2l2DM,tλ;δVxx+2l2(DM,tλ;δVx)2+l46V(DM,tλ;δVxxxx)+2l43(DM,tλ;δVx)(DM,tλ;δVxxx)+l42(DM,tλ;δVxx)4}.
(25)
Since the time differences of the local voltage V are inappreciable as compared to the fixed background voltage V0, one can guess that the time-dependent derivative is of the order of the infinitesimal parameter ε, as well as the chaotic behavior, terms bV2 of voltage are of the order ϵ2. So equation (25) can be obtained by choosing only the principal terms:
LC0DM,t2;δV=R2C0l2DM,tλ;δuxx+l2uxx   R1C0DM,t1;δu+2bC0R1δuDM,t1;δu.
(26)
Since LC0 is very small, so the term occurring on the left-hand side will be ignored and, we get; so the final fractional form of equation (16) with the help of above-mentioned work can be written as:
R2C0l2DM,tλ;δuxx+l2uxx+2R1C0δuDM,tλ;δuR1DM,tλ;δu=0.
(27)
where the local M-derivative of order λ of a rule u(x,t), w.r.t t is identified as DM,tλ;δu. Important to note that if δ=1=λ, equation (27) can be modified into the original equation.

5. Solitary wave solutions via proposed techniques

Consider the resemblance variables of fractional traveling wave mentioned below:
u(x,t)=γ(χ),χ=vτλΓ(δ+1)tλ+xm,τ=A1C.
(28)
The theme of this work is to seek solutions like soliton, shock wave and singular type for the above said MT equation. Applying the above transformation, equation (27) takes the following form after integrating once
γ(χ)avγ(χ)b2γ2(χ)rγ(χ)X=0,
(29)
where the dimensionless parameters are defined as
a=τA2C,b=2A1dA2,r=A1A2.
Employing the homogenous balance principle in equation (19) impart κ=2. Then equation (12) becomes
γ(χ)=p0+p1exp[ϕ(χ)]+p2(exp[ϕ(χ)])2,
(30)
where the factors p0,p1,p2 needed to be calculated. As section 3 enforced to adopt the proposed method of solution technique, the values of unknown constants p0,p1,p2 have been found. The emerging solutions are elaborated as as follows
p0=3a2+36a2+1250v4Xb+30vaα+75v2α225v2b,p1=12(a+5vα)5vb,p2=12b,β=a2100v2+α24,r=218a4+625v4b25v2.
Following are the solutions obtained by exp[ϕ(χ)]-expansion method.
When α24β>0 and β0, then hyperbolic solution has been gained as
u(x,t)=sech[a(W+χ)10v]250v2b(5vα+atanh[a(W+χ)10v])2((6a2+36a4+1250v4Xb)(a225v2α2)+(a2+36a4+1250v4Xb+60va3α+25v236a4+1250v4Xbα2)cosh[a(W+χ)5v]+2a(3a3+5v36a4+1250v4Xbα+75v2aα2)sinh[a(W+χ)5v]).
(31)
Figure 2 shows the graphical representation of equation (21) of the wave solutions u(x,t) for different chooses of fractional values in (a) λ=0.65, δ=0.8 and in (b) λ=1, δ=1. Further, figure 2(c) explains the 2D plot of equation (21) versus time t at x = 2 for several fractional values.
Figure 2. Graphical view of equation (31) for fractional parameters λ and δ.

Full size|PPT slide

When α24β>0 and β=0 and α0 then singular soliton solution has been obtained as
u(x,t)=36a4+1250v4Xb+3a2csch[a(W+χ)10v]2(1+sinh[a(W+χ)5c])25v2b.
(32)
According to GG2—expansion method, equation (14) can be expressed as
γ(χ)=p0+p1(GG2)+q1(GG2)1+ p2(GG2)2+q2(GG2)2,
(33)
where p0,p1,p2,q1,q2 are constants to be calculated. Adopt the same proposed technique as mentioned in section 3, the values of unknown constants have been obtained. The emerging results are compiled as follows.
p0=vr+2aαvb,p1=12α2b,p2=q2=0,q1=0,β=v2(2Xbr2)+4a2α248v2α3.
The following soliton solutions are obtained like
If αβ>0, the said periodic but singular type is fetched as
u(x,t)=vr+2aαvb+12α2βα(cos[αβχ]+sin[αβχ])b(cos[αβχ]sin[αβχ]).
(34)
The said singular type solution for αβ<0, is fetched as
u(x,t)=r+2aαv+12α|αβ|coth[|αβ|χ]b.
(35)
The wave profiles u(x,t) of equation (25) are shown vividly in figure 3 against different chooses of fractional values λ=0.65, δ=0.8, in (a) λ=0.85, δ=0.9 and in (b) λ=1, δ=1 in (c). Figure 3(d) explains the 2D plot of equation (21) versus time t at x = 2 for several fractional values.
Figure 3. Graphical view of equation (35) for fractional values λ and δ.

Full size|PPT slide

If β=0,α0, the wave solution of plane type is elucidated as
u(x,t)=vr+2aαvb+12TαTχ+U.
(36)

6. Conclusion

In this paper, exp[ϕ(χ)] and GG2-expansion techniques have been invoked successfully on the electric model of MT to yield the fractional dark, singular, bright, and combo soliton results by using the attributes of local M-derivative. The 3D-graphs are depicted to fetch the fractional solutions, also the influence of fractional parameter λ is shown in 2D-graphs against the numerous values of λ. Such sorts of the solution are useful for the inquisition of some real-time physical processes. Although the above-mentioned techniques have some deficiencies i.e. it contains lengthy calculations but due to the availability of symbolic calculators such as Maple etc, one can get the controlled results efficiently. Also, the selection of factors produces several facts of these results and their graphical faces to be type illustrative without rendering the article so massive, should more realizations be expected. Further, these techniques can also be enforced adroitly for a wide range of NLEEs.

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