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Research article Special Issues

Do different stock indices volatility respond differently to Central bank digital currency signals?


  • Received: 09 May 2023 Revised: 12 July 2023 Accepted: 02 August 2023 Published: 14 August 2023
  • Central bank digital currency (CBDC) signals affect the volatility of stock indices in different sectors differently. This paper aims to examine whether the CBDC signal plays a role on the volatility of different stock indices. First, we employ a text analysis to compile the CBDC signal index, which spans from January 4, 2013 to March 16, 2023. Then, based on the mixing frequency data, we construct generalized autoregressive conditional heteroskedasticity mixed data sampling (GARCH-MIDAS) models to explore the various impacts of CBDC signal on the volatility of stock indices in different sectors. The findings show the heterogeneous effect of CBDC signals on the volatility of stock indices across different sectors. Furthermore, CBDC signals have a heterogeneous effect on the volatility of stock indices in different sectors for different lag periods.

    Citation: Wenjie Li, Zimei Huang. Do different stock indices volatility respond differently to Central bank digital currency signals?[J]. Electronic Research Archive, 2023, 31(9): 5573-5588. doi: 10.3934/era.2023283

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  • Central bank digital currency (CBDC) signals affect the volatility of stock indices in different sectors differently. This paper aims to examine whether the CBDC signal plays a role on the volatility of different stock indices. First, we employ a text analysis to compile the CBDC signal index, which spans from January 4, 2013 to March 16, 2023. Then, based on the mixing frequency data, we construct generalized autoregressive conditional heteroskedasticity mixed data sampling (GARCH-MIDAS) models to explore the various impacts of CBDC signal on the volatility of stock indices in different sectors. The findings show the heterogeneous effect of CBDC signals on the volatility of stock indices across different sectors. Furthermore, CBDC signals have a heterogeneous effect on the volatility of stock indices in different sectors for different lag periods.



    Currently, the study of non-linear fractional differential equations (NLFDEs) play a key role in the arena of solitary wave theory. The analysis of such models [1,2,3], is significant to understand the everyday physical phenomena in non-linear evolution models. Nowadays technological developments have exposed that, fractional calculus have developed as a dominant instrument in numerous fields of applied sciences and engineering [4,5]. A big advantage of fractional models is that their narrative is more suitable than the ordinary models [6]. These properties motivate our interest to yield consideration in a noteworthy and appropriate model for (4+1)-dimensional fractional-order non-linear Fokas equation. Non-linear Fokas equation is one of the well-known physical models [7,8] that defines a huge diversity of phenomena, such as non-linear optics, fluid mechanics, condensed matter, and plasmas. The properties of fractional derivatives are complex, therefore, it is not easy to solve fractional-order problems using novel derivatives. As for as we know, there is no regular scheme to answer the fractional-order non-linear models. A number of novel arithmetical and analytical schemes [9,10,11,12,13,14,15,16,17,18,19,20], are suggested for fractional-order models by using ordinary calculus, however, it's static task for the scholars. Fokas [21] improved the Lax couples of integrable non-linear KP and DS equations, and consequent the simple wave equation. In wave systems, DS and KP models are proposed to define the surface and internal waves in canals with altering depth and breadth [22,23]. The Fokas equation has many applications in quantum mechanics and plasma physics to explore the transmission of solitons. The important applications of the Fokas equation lie in real world problems considered as a higher dimensional integrable model in mathematical physics. The importance of the Fokas equation suggests that the idea of complexifying time can be investigated in the context of modern field theories via the existence of integrable nonlinear equations in four spatial dimensions involving complex time [24,25]. In this paper, we deal the non-linear fractional-order (4+1)-dimensional Fokas equation (FE),

    42αutαxα3αx3α(uy)+αxα(3uy3)+12αuxαuy+12uαxα(uy)62uzw=0, (1.1)

    where u is a function and wave velocity physically also 0<α<1. While α=1 then Eq (1.1) converts to simple (4+1)-dimensional FE. Assume this general Eq (1.1) to designate the gesture of waves in multifaceted broadcasting. It shows the distortion or dispersion of the external wave. So, various types of solution of FE will offer us proposals to instruct the multifaceted system of DS and KD models. Also, according above-stated evidences and the significant uses of the FE, it is crucial to discover the innovative solitons solutions of Eq (1.1). In recent times, physicists and mathematicians have great concern to discover the Eq (1.1), such as Zhang et al. [26] applied the sub-equation method (SM) to determine the solution of Eq (1.1) using some derivative in the form of rational, trigonometric, and functions of hyperbolic. Zhang et al. [27] utilized the new SM, in fractional form of (G0=G)-expansion scheme. Choi et al. [28] applied the SM using different schemes and attained the novel analytical solutions of Eq (1.1). Zhang [29] used Exp-function method to explore the solitary wave solution of Eq (1.1). Zhao et al.[30] suggested the improved fractional (G0=G)-expansion scheme and acquire the exact solutions. Solitons are used to denote the particle-like properties of non-linear pulses. The significance of solitons is due to their existence in a variety of non-linear differential equations representing many complex nonlinear phenomena, such as acoustics, optics, convictive fluids, condensed matter, and solid-state physics. There are numerous type of solitary wave and solitons solutions [31,32,33,34,35,36,37,38,39,40,41].

    The study of non-linear PDEs has become much significant in pure and applied mathematics from many years. Through the aid of computer technology, the new horizons are opened in the field of applied sciences for the mathematicians. There has been a growing interest in PDEs which are frequently used in engineering sciences and mathematical physics. The PDEs arise commonly in biological and physical sciences as well. Many problems of physics, chemistry, and engineering lead naturally to the resolution of PDEs. In the light of the literature review, there are various models of PDEs, particularly, PDEs whose exact solutions need to be discussed. The application of non-linear PDEs in mathematical modeling has induced a motivation for research in the field of differential problems.

    The prominent concern of this existing study is to utilize the novel meanings of fractional-order derivative, named conformable derivative, for space-time fractional-order (4+1)-dimensional FE. As our best knowledge the considered methods have not been utilized for such model in the literature. Several type of solutions in the form of bright soliton, dark soliton, combined dark-bright soliton, periodic soliton and general solitary waves solutions of FE are missing in the literature. As compared our obtained results with previous existing results in literature, some of results are not available in literature with other methods lies in [42,43,44,45,46]. In this article our goal is to discover novel various soliton solutions of (4+1)-dimensional fractional-order non-linear Fokas equation using Sardar-subequation [47,48] and new extended hyperbolic function method [49,50,51,52]. As a result, novel soliton solutions are more generalized and in different form which have never been obtained before. To the best of our knowledge, these novel properties and interesting structures are investigated for the first time in (4+1)-dimensional Fokas equation. Our results enrich the variety of the dynamics of higher-dimensional non-linear wave field. It is hoped that these results will provide some valuable information in the higher-dimensional non-linear field.

    The layouts of this paper are: Section 2 contains the governing model. Section 3 consists on the analysis of the methods. In section 4 the applications of the proposed methods are presented. Section 5 describes results and discussion and conclusion of this work is presented in section 6.

    Progress in fractional-calculus is more beneficial for scholars to express the physical phenomena with novel techniques. Newly, Caputo et al. [53] modified the Caputo derivative [54], Atangana-Baleanu (AB) presented a novel fractional derivative (FD), known as AB derivative [55]. In 2014, Khalil et al. [56] proposed a conformable derivative. The Caputo, Riemann-Liouville (RL) [57,58], and further derivatives do not follow the simple instructions, which are supposed by Newtonian kind simple derivative. Such as:

    (1) For RL derivative, DαtP0, P is any constant.

    (2) For Caputo and RL derivative,

    Dαt(f(t)g(t))f(t)Dαtg(t)+g(t)Dαtf(t).

    (3) For Caputo and RL derivative,

    Dαtf(t)g(t)g(t)Dαtf(t)f(t)Dαtg(t)g(t)2.

    Definition 2.1: [56] The FD of a function k=k(t):[0,) of order ς>0 is described as

    Dςtk(t)=limϵ0k(ϵt1ς+t)k(t)ϵ,0<ς1. (2.1)

    At ς=1, the fractional-order derivative converted to integer-order derivative.

    Theorem 2.2: We have the following properties when ς(0,1] and k,k1 are conformable functions as follows:

    Dςtk(t)=t1ςdk(t)dt.

    Dςtth=htnς,hR.

    Dςtc=0, constant functions k(t)=0.

    Dςt(p1k(t)+p2k1(t))=p1Dςtk(t)+p2Dςtk1(t),p1,p2R.

    Dςt(k(t)k1(t))=k(t)Dςtk1(t)+k1(t)Dςth(t).

    Dςtk(t)k1(t)=k1(t)Dςtk(t)Dςtk1(t)k1(t)2.

    Dςt(kok1)(t)=t1ςk1(t)k(k1(t)).

    In this section, we have analyzed two methods that are applied to construct novel solitons solutions of the given model.

    In this section, we describe the offered methods to solve the fractional model, we assume the proposed model as

    H(u,αutα,αuxα,αuyα,αuzα,αuwα,2αut2α,2αux2α,2αuy2α,....)=0,

    where u is a function. Using following wave transformations in (3.1)

    u(x,y,z,w,t)=U(η),η=β1xαα+β2yαα+β3zαα+β4wααvtαα,

    here v is frequency while β1,β2,β3,β4 are wave lengths, respectively. Using (3.2) into (3.1), we yield an ODE as follows

    P(U,U,U,...)=0. (3.1)

    Where U, U and U are the first, second and the third derivatives of U, respectively w. r. t η and so on.

    U(η)=Mj=0FjΦi(η), (3.2)

    where Fj are constants and Φ(η) accept the (3.7) as follows

    (Φ(η))2=ϵ+δΦ2(η)+Φ4(η), (3.3)

    here ϵ and δ are constants.

    Case 1: When δ>0andϵ=0, then

    Φ±1(η)=±δpqsechpq(δη),
    Φ±2(η)=±δpqcschpq(δη),

    where, sechpq(η)=2peη+qeη,cschpq(η)=2peηqeη.

    Case 2: When δ<0andϵ=0, then

    Φ±3(η)=±δpqsecpq(δη),
    Φ±4(η)=±δpqcscpq(δη),

    where, secpq(η)=2peιη+qeιη,cscpq(η)=2ιpeιηqeιη.

    Case 3: When δ<0andϵ=δ24b, then

    Φ±5(η)=±δ2tanhpq(δ2η),
    Φ±6(η)=±δ2cothpq(δ2η),
    Φ±7(η)=±δ2(tanhpq(2δη)±ιpqsechpq(2δη)),
    Φ±8(η)=±δ2(cothpq(2δη)±pqcschpq(2δη)),
    Φ±9(η)=±δ8(tanhpq(δ8η)+cothpq(δ8η)),

    where, tanhpq(η)=peηqeηpeη+qeη,cothpq(η)=peη+qeηpeηqeη.

    Case 4: When δ>0andϵ=δ24, then

    Φ±10(η)=±δ2tanpq(δ2η),
    Φ±11(η)=±δ2cotpq(δ2η),
    Φ±12(η)=±δ2(tanpq(2δη)±pqsecpq(2δη)),
    Φ±13(η)=±δ2(cotpq(2δη)±pqcscpq(2δη)),
    Φ±14(η)=±δ8(tanpq(δ8η)+cotpq(δ8η)),

    where, tanpq(η)=ιpeιηqeιηpeιη+qeιη,cotpq(η)=ιpeιη+qeιηpeιηqeιη.

    The new EHFM has two phases as follows.

    Form 1: Consider FPDE is taken in (3.1) and using the wave transformations in (3.2) to obtain (3.3). Assume (3.3) admits the solution as follows:

    U(η)=Mj=0FjΦi(η), (3.4)

    where Fj are constants and Φ(η) accept the (3.7)

    dΦdη=ΦΛ+ΔΦ2,Λ,ΘR. (3.5)

    On balancing in (3.3) the value of N is obtained. Inserting (3.6) into (3.3) along with (3.7), yields a set of equations. By resolving the equations, we get the solutions that accepts (3.5), as

    Set 1: When Λ>0 and Δ>0,

    Φ(η)=ΛΔcsch(Λ(η+η0)). (3.6)

    Set 2: When Λ<0 and Δ>0,

    Φ(η)=ΛΔsec(Λ(η+η0)). (3.7)

    Set 3: When Λ>0 and Δ<0,

    Φ(η)=ΛΔsech(Λ(η+η0)). (3.8)

    Set 4: When Λ<0 and Δ>0,

    Φ(η)=ΛΔcsc(Λ(η+η0)). (3.9)

    Set 5: When Λ>0 and Δ=0,

    Φ(η)=exp(Λ(η+η0)). (3.10)

    Set 6: When Λ<0 and Δ=0,

    Φ(η)=cos(Λ(η+η0))+ιsin(Λ(η+η0)). (3.11)

    Set 7: When Λ=0 and Δ>0,

    Φ(η)=±1(Δ(η+η0)). (3.12)

    Set 8: When Λ=0 and Δ<0,

    Φ(η)=±ι(Δ(η+η0)). (3.13)

    Form 2: Adopting the procedure as earlier, consider that Φ(η) accept the following ODE as

    dΦdη=Λ+ΔΦ2,Λ,ΔR. (3.14)

    Substituting (3.6) into (3.3) along with (3.16), gets a set of equations with the values of Fj(j=1,2,3,...M). We assume that (3.5) has solutions as

    Set 1: When ΛΔ>0,

    Φ(η)=sn(Λ)ΛΔtan(ΛΔ(η+η0)). (3.15)

    Set 2: When ΛΔ>0,

    Φ(η)=sn(Λ)ΛΔcot(ΛΔ(η+η0)). (3.16)

    Set 3: When ΛΔ<0,

    Φ(η)=sn(Λ)ΛΔtanh(ΛΔ(η+η0)). (3.17)

    Set 4: When ΛΔ<0,

    Φ(η)=sn(Λ)ΛΔcoth(ΛΔ(η+η0)). (3.18)

    Set 5: When Λ=0 and Δ>0,

    Φ(η)=1Δ(η+η0). (3.19)

    Set 6: When ΛR and Δ=0,

    Φ(η)=Λ(η+η0). (3.20)

    Note: sn is well-known sign function.

    Here, we construct the solitons solutions of fractional-order Fokas equation. The Eq (1.1) with Eq (3.2) becomes

    β1β2(β21β22)U+(4β1v+6β3β4)U6β1β2U2=0. (4.1)

    Now, we apply the SSM to solve the (4+1)-dimensional FE. Using balance method on (4.1), gets M=2, so (3.6) decreases to

    U(η)=F0+F1Φ(η)+F2Φ(η)2, (4.2)

    where F0, F1 and F2 are constants. Inserting (4.2) into (4.1) and comparing the coefficients of Φ(η) to zero, we get a set of equations in F0,F1,F2,ϵandv.

    Working on the set of equations, yields

    F0=F0,F1=0,F2=(β21β22),
    ϵ=2δβ21F02δβ22F03F20(β21β22)2,
    v=2δβ31β2+2δβ1β323β3β4+6β1β2F02β1. (4.3)

    Case 1: When δ>0andϵ=0, then

    u±1,1(x,y,z,w,t)=F0+(β21β22)(±pqδsechpq(δ(η)))2, (4.4)
    u±1,2(x,y,z,w,t)=F0+(β21β22)(±pqδcschpq(δ(η)))2. (4.5)

    Case 2: When δ<0andϵ=0, then

    u±1,3(x,y,z,w,t)=F0+(β21β22)(±pqδsecpq(δ(η)))2, (4.6)
    u±1,4(x,y,z,w,t)=F0+(β21β22)(±pqδcscpq(δ(η)))2. (4.7)

    Case 3: When δ<0andϵ=δ24b, then

    u±1,5(x,y,z,w,t)=F0+(β21β22)(±δ2tanhpq(δ2(η))2, (4.8)
    u±1,6(x,y,z,w,t)=F0+(β21β22)(±δ2cothpq(δ2(η))2, (4.9)
    u±1,7(x,y,z,w,t)=F0+(β21β22)(±δ2(tanhpq(2δ(η))±ιpqsechpq(2δ(η))))2, (4.10)
    u±1,8(x,y,z,w,t)=F0+(β21β22)(±δ2(cothpq(2δ(η))±pqcschpq(2δ(η))))2, (4.11)
    u±1,9(x,y,z,w,t)=F0+(β21β22)(±δ8(tanhpq(δ8(η))+cothpq(δ8(η))))2. (4.12)

    Case 4: When δ>0andϵ=δ24, then

    u±1,10(x,y,z,w,t)=F0+(β21β22)(±δ2tanpq(δ2(η)))2, (4.13)
    u±1,11(x,y,z,w,t)=F0+(β21β22)(±δ2cotpq(δ2(η)))2, (4.14)
    u±1,12(x,y,z,w,t)=F0+(β21β22)(±δ2(tanpq(2δ(η))±pqsecpq(2δ(η))))2, (4.15)
    u±1,13(x,y,z,w,t)=F0+(β21β22)(±δ2(cotpq(2δ(η))±pqcscpq(2δ(η))))2, (4.16)
    u±1,14(x,y,z,w,t)=F0+(β21β22)(±δ8(tanpq(δ8(η))+cotpq(δ8(η))))2. (4.17)

    Form 1: Now, we apply the new EHFM to solve the (4+1)-dimensional FE. Using balance method in (4.1), yields M=2, so (3.6) changes to

    U(η)=F0+F1Φ(η)+F2Φ(η)2, (4.18)

    where F0, F1 and F2 are constants. Inserting (4.18) into (4.1) and associating the constants of Φ(η) with zero, we yield the equations in F0,F1,F2,ΛandΔ.

    On working set of equations, we achieve

    F0=2vβ1+3β3β43β1β2,F1=0,
    F2=F2,Λ=2vβ1+3β3β42β1β2(β21β22).
    Δ=F2(β21β22). (4.19)

    Set 1: When Λ>0 and Δ>0,

    u1(x,y,z,w,t)=2vβ1+3β3β43β1β2+F2(2vβ1+3β3β42F2β1β2csch(2vβ1+3β3β42β1β2(β21β22)(η+η0)))2. (4.20)

    Set 2: When Λ<0 and Δ>0,

    u2(x,y,z,w,t)=2vβ1+3β3β43β1β2+F2(2vβ1+3β3β42F2β1β2sec(2vβ1+3β3β42β1β2(β21β22)(η+η0)))2. (4.21)

    Set 3: When Λ>0 and Δ<0,

    u3(x,y,z,w,t)=2vβ1+3β3β43β1β2+F2(2vβ1+3β3β42F2β1β2sech(2vβ1+3β3β42β1β2(β21β22)(η+η0)))2. (4.22)

    Set 4: When Λ<0 and Δ<0,

    u4(x,y,z,w,t)=2vβ1+3β3β43β1β2+F2(2vβ1+3β3β42F2β1β2csc(2vβ1+3β3β42β1β2(β21β22)(η+η0)))2. (4.23)

    Set 5: When Λ>0 and Δ=0,

    u5(x,y,z,w,t)=2vβ1+3β3β43β1β2+F2(exp(2vβ1+3β3β42β1β2(β21β22)(η+η0)))2. (4.24)

    Set 6: When Λ<0 and Δ=0,

    u6(x,y,z,w,t)=2vβ1+3β3β43β1β2+F2(cos(2vβ1+3β3β42β1β2(β21β22)(η+η0))+ιsin(2vβ1+3β3β42β1β2(β21β22)(η+η0)))2. (4.25)

    Set 7: When Λ=0 and Δ>0,

    u7(x,y,z,w,t)=2vβ1+3β3β43β1β2+F2(±1(F2(β21β22)(η+η0))2. (4.26)

    Set 8: When Λ=0 and Δ<0,

    u8(x,y,z,w,t)=2vβ1+3β3β43β1β2+F2(±ι(F2(β21β22)(η+η0))2, (4.27)

    where η=β1xαα+β2yαα+β3zαα+β4wααvtαα.

    Form 2: Utilizing balance method in (4.1), gives M=2, so (3.6) converts to

    u(η)=F0+F1Φ(η)+F2Φ(η)2, (4.28)

    where F0, F1 and F2 are numbers. Inserting (4.28) into (4.1) and associating the constants of Φ(η) with zero, we attain set of equations in F0,F1,F2,Λ,andΔ.

    On working the set of equations, we achieve

    F0=2vβ1+3β3β42(2vβ1+3β3β4)26β1β2,F1=0,
    F2=(2vβ1+3β3β4)24Λ2β21β22(β21β22),Λ=Λ,
    Δ=(2vβ1+3β3β4)22Λβ31β22Λβ1β32. (4.29)

    Set 1: When ΛΔ>0,

    u9(x,y,z,w,t)=2vβ1+3β3β42(2vβ1+3β3β4)26β1β2+(2vβ1+3β3β4)24Λ2β21β22(β21β22)(χ2Λ2β1β2(β21β22)(2vβ1+3β3β4)2tan((2vβ1+3β3β4)22β31β22β1β32)(η+η0)))2. (4.30)

    Set 2: When ΛΔ>0,

    u10(x,y,z,w,t)=2vβ1+3β3β42(2vβ1+3β3β4)26β1β2+(2vβ1+3β3β4)24Λ2β21β22(β21β22)(χ2Λ2β1β2(β21β22)(2vβ1+3β3β4)2cot((2vβ1+3β3β4)22β31β22β1β32)(η+η0)))2. (4.31)

    Set 3: When ΛΔ<0,

    u11(x,y,z,w,t)=2vβ1+3β3β42(2vβ1+3β3β4)26β1β2+(2vβ1+3β3β4)24Λ2β21β22(β21β22)(χ2Λ2β1β2(β21β22)(2vβ1+3β3β4)2tanh((2vβ1+3β3β4)22β31β22β1β32)(η+η0)))2. (4.32)

    Set 4: When ΛΔ<0,

    u12(x,y,z,w,t)=2vβ1+3β3β42(2vβ1+3β3β4)26β1β2+(2vβ1+3β3β4)24Λ2β21β22(β21β22)(χ2Λ2β1β2(β21β22)(2vβ1+3β3β4)2coth((2vβ1+3β3β4)22β31β22β1β32)(η+η0)))2. (4.33)

    Set 5: When Λ=0 and Δ>0,

    u13(x,y,z,w,t)=2vβ1+3β3β42(2vβ1+3β3β4)26β1β2+(2vβ1+3β3β4)24Λ2β21β22(β21β22)(1(2vβ1+3β3β4)22Λβ31β22Λβ1β32(η+η0))2. (4.34)

    Set 6: When ΛR and Δ=0,

    u14(x,y,z,w,t)=2vβ1+3β3β42(2vβ1+3β3β4)26β1β2+(2vβ1+3β3β4)24Λ2β21β22(β21β22)(Λ(η+η0))2, (4.35)

    where χ=sgn(Λ), η=β1xαα+β2yαα+β3zαα+β4wααvtαα.

    Herein study, we have successfully built various solitons solutions for the (4+1)-dimensional Fokas equation applying SSM and new EHFM. The proposed methods are measured most efficient techniques in this field and that are not applied to this model previous. To analyze physically, 3D and 2D graphs of some selected results are added with suitable parameters. These obtained solutions determine their applications in propagation to carry information since solitons have the competency to mobile long spaces without drop and shifting their systems. In this study, we added only certain figures (see Figures 17) to dodge overloading the document. Absolutely the achieved results are fresh and different from that reported results.

    Figure 1.  (a) 3D graph of (4.4) with F0=1.75, β1=1.65, β2=1.74, β3=1.91, β4=1.65, p=0.98, q=0.95, α=0.99, δ=0.8, v=1.2. (a-1) 2D plot of (4.4) with t=1.
    Figure 2.  (b) 3D graph of (4.8) with F0=1.5, β1=1.5, β2=1.64, β3=1.81, β4=1.55, p=0.98, q=0.95, α=0.99, δ=0.8, v=1.1. (b-1) 2D plot of (4.8) with t=1.
    Figure 3.  (c) 3D graph of (4.10) with F0=1.77, β1=1.95, β2=1.24, β3=1.51, β4=1.65, p=0.98, q=0.95, α=0.99, δ=0.65, v=1.4. (c-1) 2D plot of (4.10) with t=1.
    Figure 4.  (d) 3D graph of (4.17) with F0=1.37, β1=1.75, β2=2.44, β3=1.71, β4=1.55, p=0.98, q=0.95, α=0.99, δ=0.75, v=1.6. (d-1) 2D graph of (4.17) with t=1.
    Figure 5.  (e) 3D graph of (4.22) with F0=1.4, β2=0.45, β2=2.54, β3=1.91, β4=1.15, p=0.98, q=0.95, α=0.99, δ=0.65, v=0.6. (e-1) 2D plot of (4.22) with t=1.
    Figure 6.  (f) 3D plot of (4.30) with F0=1.2, β1=1.79, β2=1.47, β3=1.74, β4=1.65, p=0.98, q=0.95, α=0.99, χ=1.2, δ=0.7, v=1.2. (f-1) 2D plot of (4.30) as t=1.
    Figure 7.  (g) 3D graph of (4.32) with F0=1.5, β1=1.25, β2=1.34, β3=2.85, β4=1.95, p=0.98, q=0.95, α=0.99, δ=0.45, χ=1.2, v=0.77. (g-1) 2D plot of (4.32) with t=1.

    We have constructed novel multi solitons solutions for the nonlinear fractional-order Fokas equation by applying the SSM and new EHFM. From results we obtained multi solitons solutions such as dark, singular, bright and periodic solitons. By the purpose of describe the behavior of achieved solutions of the model, we plotted some particular solutions by assigning the suitable values to the parameters involved. The obtained results may have much inspiration in various fields of physical sciences. From obtained results, we can know that the under study techniques are proficient, consistent and beneficial for rescuing the exact solutions of nonlinear FPDEs in a wide range. Also, these results are supportive to learn the dynamics of nonlinear waves in optics, hydrodynamics, solid state physics, and plasma. In future, we anticipate that this study is a step towards the solutions of such kinds of higher dimensional problems by using the proposed methods in this study. This work may be extended for a novel fractional order Fokas dynamical model in future.

    The work in this paper has been supported by the Polish National Science Centre under the grant OPUS 14 No. 2017/27/B/ST8/01330.

    The authors declare that they have no conflicts of interest.



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