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Identification of numerical solutions of a fractal-fractional divorce epidemic model of nonlinear systems via anti-divorce counseling

  • Divorce is the dissolution of two parties' marriage. Separation and divorce are the major obstacles to the viability of a stable family dynamic. In this research, we employ a basic incidence functional as the source of interpersonal disagreement to build an epidemiological framework of divorce outbreaks via the fractal-fractional technique in the Atangana-Baleanu perspective. The research utilized Lyapunov processes to determine whether the two steady states (divorce-free and endemic steady state point) are globally asymptotically robust. Local stability and eigenvalues methodologies were used to examine local stability. The next-generation matrix approach also provides the fundamental reproducing quantity ¯R0. The existence and stability of the equilibrium point can be assessed using ˉR0, demonstrating that counseling services for the separated are beneficial to the individuals' well-being and, as a result, the population. The fractal-fractional Atangana-Baleanu operator is applied to the divorce epidemic model, and an innovative technique is used to illustrate its mathematical interpretation. We compare the fractal-fractional model to a framework accommodating different fractal-dimensions and fractional-orders and deduce that the fractal-fractional data fits the stabilized marriages significantly and cannot break again.

    Citation: Maysaa Al-Qurashi, Sobia Sultana, Shazia Karim, Saima Rashid, Fahd Jarad, Mohammed Shaaf Alharthi. Identification of numerical solutions of a fractal-fractional divorce epidemic model of nonlinear systems via anti-divorce counseling[J]. AIMS Mathematics, 2023, 8(3): 5233-5265. doi: 10.3934/math.2023263

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  • Divorce is the dissolution of two parties' marriage. Separation and divorce are the major obstacles to the viability of a stable family dynamic. In this research, we employ a basic incidence functional as the source of interpersonal disagreement to build an epidemiological framework of divorce outbreaks via the fractal-fractional technique in the Atangana-Baleanu perspective. The research utilized Lyapunov processes to determine whether the two steady states (divorce-free and endemic steady state point) are globally asymptotically robust. Local stability and eigenvalues methodologies were used to examine local stability. The next-generation matrix approach also provides the fundamental reproducing quantity ¯R0. The existence and stability of the equilibrium point can be assessed using ˉR0, demonstrating that counseling services for the separated are beneficial to the individuals' well-being and, as a result, the population. The fractal-fractional Atangana-Baleanu operator is applied to the divorce epidemic model, and an innovative technique is used to illustrate its mathematical interpretation. We compare the fractal-fractional model to a framework accommodating different fractal-dimensions and fractional-orders and deduce that the fractal-fractional data fits the stabilized marriages significantly and cannot break again.



    A legally accepted relationship or settlement agreement involving two people establishes duties and responsibilities amongst them, their respective in-laws, and the community as a whole. When an intimate physical engagement is genetically accepted, it is regularly alluded to as marriage or consensual incest [1]. Marriage was intended to be a non-acrimonious partnership from the beginning. Nevertheless, unpleasant situations have surfaced, with the divorce process being the most common. When the proportion of unfavorable to desirable deeds is equal to or larger than unity, the latter phenomenon is more probable to occur. Divorce is defined as the dissolution of a two-person union [2], and it has a negative impact on domestic organizations in today's society. This vexing pattern persists unabated throughout Asia and the civilized world. Forced marriage, illiteracy, poverty, extramarital intimacy and pregnancy, betrayal, and a dearth of religious commitment are just a few of the causative factors of a breakup [3].

    Divorce is an alarming trend that, like any sickness, has an influence on the psychological and cultural formation of modern civilization. About half of all early marriages in the system end in divorce [4], with subsequent unions having significantly higher divorce rates [5]. Separation frequently leads to divorce, with 75 percent of separations ending in divorce [6]. Separation conditions have been linked to a higher prevalence of juvenile adversity and unemployment [7]. It is critical to eradicating this lethal sociological plague from our civilization.

    In recent years, the numerical formulation has been utilized as a powerful strategy in the prevention of outbreaks, and one might apply it to the prevention of separation in matrimonial organizations. The impact of economic growth [8] and cultural propagation [9] on separation patterns has been a source of worry in the past. In particular, [2] has suggested a framework for the rise of separation in Ghana, dividing incidents into three categories: marital, divorced, and separated. Similarly, [2] expanded their research to encompass individuals who had not taken particular steps to avoid separation. Several researchers have investigated various mathematical models in this area, which can be found in references [10,11,12].

    Fractional calculus (FC) is defined as the advancement or modification of conventional derivatives and integrals to non-integer order instances, has received considerable scholarly emphasis in recent times [13,14,15,16]. According to the research, numerous scientific and other physical processes involve fractional derivatives, including ideological, aquifer, electrostatics, financing, and hydrodynamics, to highlight a few [17,18].

    Several researchers have explored the simulated predictions owing to the availability and distinctiveness of fractional differential equation systems in diverse configurations, for example, [19,20,21,22]. In FC, there are three types of fractional derivative/integral formulations: the Riemann-Liouville and Caputo derivatives, which are a concatenation of power law (PL) functions [17], including the first derivative; the Caputo-Fabrizio fractional derivative, which is a combination of the first derivative and the exponential decay (ED) law [23], including the Delta-Dirac feature; and the Atangana-Baleanu fractional derivative [24], which has a generalized Mittag-Leffler (GML) as a kernel [25,26,27,28]. The majority of the relevant and purposeful formulations in the various configuration domains of such fractional-order derivative formulations in the scope of FC, which includes numerical simulations modeled with formulae utilizing these three types of kernels, can be found in significant relevant scholarly studies in [29,30,31,32,33,34] and the references cited therein.

    Except for the previously mentioned continuous advancement that originated from the interaction of ideologies between L'Hopital and his advisor Leibniz, researchers in [35,36,37,38] proposed some other revolutionary notion in which conventional differentiation is lengthened to the core principle of fractal differentiation derivative, with the result that unless the fractal-order approaches 1, the conventional derivative is recovered. Furthermore, the fractal derivative is equivalent to αζα1 if the mapping is differentiable. Although this differential formulation has been employed in a number of cases, the concept has yet to be recognized and implemented in the domains of mathematics, physics, and bio-sciences. However, this fractal derivative concept emerges in several natural phenomena; for example, favorable aquifer circulation pathways can be recorded by applying such a novel concept. Certain individuals assume there's nothing really novel or revolutionary, but it is evident, or at least can be claimed, that combining two existent materials can result in a creative and inventive notion, or at the very best, a customized rendition of the key construct. This additional feature will be much more effective and convenient than the previous versions.

    In 2017, Atangana [39], proposed a novel notion of differentiation, which is termed "fractal-fractional" (FF), in which the researcher recommended the fractal derivative of the combination of a specified function utilizing three previous notions, notably the PL kernel, the ED kernel, and the GML function. The concept is novel, and it appears to have offered up significant avenues of exploration into a wide range of scientific domains, encompassing economics, hydrodynamics, life science, randomness, hydrology, acoustic emission, physiology, biomechanics, and plenty of others [40,41]. The researcher [39] suggested that the fractional formulation can only represent a handful of complicated situations, whereas the fractal derivative can catch various forms of intricacies, and that integrating theories can allow us to effectively comprehend the challenges of precise existence [42,43]. Atangana and Qureshi [44] recently introduced the modeling of chaotic dynamic system attractors using FF operators, and Goméz-Aguilar [45] proposed chaos and multiple attarctors in a FF model. Shinriki's oscillator system and Rashid et al. [46] presented a revolutionary FF model for comprehending the oscillatory and challenging behavior of the human liver with a GML kernel. Etemad et al. [41] contemplated a novel mathematical analysis on the FF model of the AH1N1/09 virus and its generalized Caputo-type version. Khan et al. [26] expounded a case study of FF tuberculosis model in China. Rezapour et al. [27] defined a theoretical and numerical analysis of a FF two-strain model of meningitis.

    Owing to the aforementioned proclivity, we proposed a numerical framework for the propagation of the breakup outbreak, similar to other researchers [9,47] via the Atangana-Baleanu fractional derivative in the Caputo perspective and the FF operator in the Atangana-Baleanu fractional derivative context. Meanwhile, the existence and uniqueness results are derived via the aforesaid model. Besides that, we add a category of reconstituted marital instances involving anti-divorce counseling and reconciliation to the system of [47], in which the cohesive societal disturbance is propagated by divorced and separated people over partnered people, applying the conventional incidence functional as the cause of spousal disharmony. This is a key element that has been lacking in earlier research. A system for qualitative analysis of the divorce epidemic has been developed via the FF Atangana-Baleanu operator. Graphical illustrations are demonstrated by incorporating the fractional-order and fractal-dimension with varying values. A simulation scheme is presented for with and without counseling control via the Atangana-Baleanu fractional derivative in the Caputo perspective, respectively. Our contribution to this new approach is to design this mathematical structure via the newly-defined hybrid Mittag-Leffler kernel. Also, for the first time, in this paper, we derive numerical schemes for the FF divorce epidemic model with the help of the Newton polynomials and by comparing our results with the Adams-Bashforth simulations. In this direction, we can see some dynamical behaviors of the solutions in our simulations.

    To follow this study, the Section "Preliminaries" is devoted to recalling some definitions. The main structure of the FF divorce epidemic model is presented in Section 3. The existence analysis and positivity of the proposed model are conducted with the qualitative aspects, such as disease-free equilibrium and stability analysis, presented using appropriate Lyapunov's candidates. Section 4 investigates the unique solutions using the Banach contraction principle. Fractal-fractional divorce epidemic model analysis is also presented in the sense of the Cauchy problem. To simulate the suggested model numerically, we use a new type of two-step Lagrange polynomials in the context of the Adams–Bashforth method to derive some algorithms in Section 5. In Section 5, by using Matlab, we analyze the behaviors of solutions during a finite time period and try to investigate the role of some parameters in controlling the epidemic by varying the values of dimensions and orders. The conclusions are presented in the Section "Conclusions".

    It is vital to investigate some basic FF operator theories before continuing on to the mathematical formulation. Consider the function w(ζ), which is continuous and fractal differentiable on [c,d] with fractal-dimension η2 and fractional-order η1, as well as the specifications available in [39].

    Definition 2.1. ([39]) The fractal-fractional operator of w(ζ) containing the power-law kernel in the context of Riemann-Liouville can be stated as follows for η1[0,1]:

    FFPDη1,η20,ζ(w(ζ))=1Γ(uη1)ddζη2ζ0(ζx)uη11w(x)dx, (2.1)

    where

    dw(x)dxη2=limζxw(ζ)w(x)ζη2xη2

    and u1<η1,η2uN. Also, Γ(ζ)=0euuζ1dζ signifies the Gamma function.

    Definition 2.2. ([39]) The fractal-fractional operator of w(ζ) containing the exponential decay kernel in the context of Riemann-Liouville can be stated as follows for η1[0,1]:

    FFEDη1,η20,ζ(w(ζ))=s(η1)1η1ddζη2ζ0exp(η11η1(ζx))w(x)dx, (2.2)

    such that s(0)=s(1)=1 having η1<1,η2uN.

    Definition 2.3. ([39]) The fractal-fractional operator of w(ζ) containing the generalized Mittag-Leffler kernel in the context of Riemann-Liouville can be stated as follows for η1[0,1]:

    FFMDη1,η20,ζ(w(ζ))=ABC(η1)1η1ddζη2ζ0Eη1(η11η1(ζx))w(x)dx, (2.3)

    such that ABC(η1)=1η1+η1Γ(η1) having η1<1,η21N.

    Definition 2.4. ([39]) The corresponding fractal-fractional integral formulation of (2.1) is defined as:

    FFPJη10,ζ(w(ζ))=η2Γ(η1)ζ0(ζx)η11xη21w(x)dx. (2.4)

    Definition 2.5. ([39]) The corresponding fractal-fractional integral formulation of (2.2) is defined as:

    FFEJη10,ζ(w(ζ))=η1η2s(η1)ζ0xη21w(x)dx+η2(1η1)ζη21w(ζ)s(η1). (2.5)

    Definition 2.6. ([39]) The corresponding fractal-fractional integral formulation of (2.3) is defined as:

    FFMJη10,ζ(w(ζ))=η1η2ABC(η1)ζ0xη21(ζx)η11w(x)dx+η2(1η1)ζη21w(ζ)ABC(η1). (2.6)

    Definition 2.7. ([24]) Let wH1(υ,λ),υ<λ and the Atangana-Baleanu fractional derivative operator is defined as:

    ABCcDη1ζ(w(ζ))=ABC(η1)1η1ζcw(x)Eη1(η1(ζx)η11η1)dx,η1[0,1], (2.7)

    where ABC(η1) denotes the normalization function.

    The observed system was inspired by the research of [47], and the fundamental framework can be described as follows:

    {˙S1(ζ)=π+λD(β1+υ)S1,˙M(ζ)=β1S1+β2D(υ+(1α)ξ1D+ξ2S2N),˙D(ζ)=ϖ1M(1α)ξ1D+ξ2S2N+ϖ3S2(υ+λ+τ1+β2)D,˙S2(ζ)=ϖ2M(1α)ξ1D+ξ2S2N(υ+τ2+ϖ3)S2,˙R(ζ)=τ1D+τ2S2υR, (3.1)

    subject to the ICs S1(0)=S10,M(0)=M0,D(0)=D0,S2(0)=S20,R(0)=R0. According to the hypothesis provided and the schematic representation in Figure 1, a relatively comprehensive concept of the divorce outbreak (3.1) with anti-divorce counseling. People who are unmarried or who are eager to marry but have not actually committed. The population of bachelors who intend to marry at time ζ is represented by S1(ζ). Certain isolated situations may result in separation but not the other way around, whereas M(ζ) refers to the proportion of coupled cases at time ζ. Unbreakable marriages or separated situations can be reconciled. The proportion of separated individuals at time ζ is indicated by D(ζ). Those who have been divorced and are unable to remarry are now represented by S2(ζ), which is denoted as separated cases at time ζ. Divorced individuals have the option of remarrying or remaining single. Furthermore, M(ζ) represents the proportion of restored marital cases at ζ. It can be seen that the approximated parameters by the proposed model (3.1) are close to the curve of real data which validates the accuracy of the presented model in this study. (see; Table 1). The anti-divorce setting is changed when 0α1. The model (3.1) is obtained using the following flow diagram of the divorce pandemic as follows:

    Figure 1.  Flow chart for divorce epidemic.
    Table 1.  Settings of the system's (3.4) attributes and parameters employed in simulation analysis.
    Symbols Explanation Value References
    η1 Component that prevents divorce (0η11) 0.4 Supposed
    ξ1 Married couples' breakup incidence 0.022 [2]
    ξ2 Separated proportion of the married 0.031 [2]
    υ People' natural fatality rate 0.02 Estimated
    π acquisition rate of unmarried people 4 Supposed
    λ Proportion of rest bachelors after divorce 0.01 Estimated
    β1 proportion of getting married by the singles 0.101 [2]
    β2 Proportion of re-marriage after divorced 0.061 [2]
    ϖ1 Rate of married instances that end in divorce 0.5 Supposed
    ϖ2 Rate of married people that separated 0.4 Supposed
    ϖ3 Breakup proportion of the married 0.021 [2]
    τ1 Reconciliation's response percentage in reuniting separated couples 0.2 Supposed
    τ2 Reconciling divorced instances in marriage via high success rate. 0.3 Supposed

     | Show Table
    DownLoad: CSV

    To show that the (3.1) divorce framework is significant, we must show that the system's corresponding parameters are non-negative at all times ζ. This is addressed more simply by noting that the divorce model with non-negative starting circumstances remains non-negative for all ζ>0. The preceding is a lemma.

    Lemma 3.1. Assume that the initial data G(0)0, where G(ζ)=(S1(ζ),M(ζ),D(ζ),S2(ζ),R(ζ)). Thus, the model solution's described by (3.1) are non-negative for ζ>0. Also, limζπυ having N(ζ)=S1(ζ)+M(ζ)+D(ζ)+S2(ζ)+R(ζ).

    Proof. Suppose t=sup{ζ>0:G(ζ)>0[0,ζ]}. Therefore, t>0. For (3.1), we find the corresponding outcomes as

    dS1dζ=π(β1+υ)S. (3.2)

    (3.2) can be written as:

    ddζ{S1(ζ)exp(υζ+t0β1(ϕ1)dϕ1)}=πexp(υζ+t0β1(ψ1)dψ1).

    Thus,

    S1(t)exp(υt+t0β1(ϕ1)dϕ1)S1(0)=πexp(υy1+y10β1(ψ1)dψ1)dy1.

    Observe that

    S1(t)=S1(0)exp{(υt+t0β1(ϕ1)dϕ1)}+exp{(υt+t0β1(ϕ1)dϕ1)}×πt0exp(υy1+y10β1(ψ1)dψ1)dy1>0.

    Repetition of the earlier procedures for the remaining system elements (3.1), we can obtain G(ζ)>0 for any ζ>0.

    Now, summing up all cohorts of the model (3.1) leads to the following

    dNdζ=πυN, (3.3)

    with N=S1+M+D+S2+R.

    Consequently, we have

    limζN(ζ)πυ,

    which is the desired result.

    Furthermore, we present the feasible region for the divorce epidemic model (3.1). Assume that the invariant domain

    ={(S1(ζ),M(ζ),D(ζ),S2(ζ),R(ζ))R5+:N(ζ)πυ}.

    Now, the underlying findings are presented for the viable region.

    Lemma 3.2. Assume that the domain presented by is positively invariant for the divorce epidemic model (3.1) with S1(0)=S10,M(0)=M0,D(0)=D0,S2(0)=S20,R(0)=R0.

    Proof. By using hypothesis (3.3), then the divorce epidemic model leads to

    dNdζ=πυN.

    So that dNdζ0, if N(0)πυ. Hence, N(ζ)N(0)exp(υζ)+πυ(1exp(υζ)). Ultimately, the region presented by is positively invariant. Also, N(0)πυ, then N(ζ) approaches to πυ asymptotically. Therefore, the domain presented by contain all solutions in R5+.

    Divorce is the dissolution of two parties' marriage. As a result of the prevalence of divorce, there have been attacks on the family and attempts to redefine marriage in modern society. To deal with this social disaster, we create a fractional model of the fractal-fractional operators type, with the fractional order η1 and fractal dimension η2. Fractal-fractional differential equations transfer the order and dimension of every dynamical system into a rational one. To upgrade and improve the approximate results, inspired by the standard model (3.1), we present a mathematical FF model on the dynamics of divorce epidemics under the effect of restored marital cases via the generalized Mittag-Leffler-type kernel as

    {FFDη1,η20,ζS1(ζ)=π+λD(β1+υ)S1,S1(0)=S100,FFDη1,η20,ζM(ζ)=β1S1+β2D(υ+(1α)ξ1D+ξ2S2N),M(0)=M00,FFDη1,η20,ζD(ζ)=ϖ1M(1α)ξ1D+ξ2S2N+ϖ3S2(υ+λ+τ1+β2D),D(0)=D00,FFDη1,η20,ζS2(ζ)=ϖ2M(1α)ξ1D+ξ2S2N(υ+τ2+ϖ3)S2,,S2(0)=S200,FFDη1,η20,ζR(ζ)=τ1D+τ2S2υR,R(0)=R00, (3.4)

    where η1 signifies the fractional-order and η2 denotes the fractal-dimension, respectively.

    Here, we investigate the model's (3.4) validity and usefulness.

    Theorem 3.3. Assume that there is a unique positive solution for the system (3.4) and stays in R5+.

    Proof. First, we present the following outcomes to identify that the solution of the model (3.4) is positive:

    {FFDη1,η20,ζS1(ζ)|S1=0=π0,FFDη1,η20,ζM(ζ)|M=0=β1S10,FFDη1,η20,ζD(ζ)|D=0=ϖ1Mφm+ϖ3S20,FFDη1,η20,ζS2(ζ)|S2=0=ϖ2M(1α)ξ1DN(υ+τ2+ϖ3)S20,FFDη1,η20,ζR(ζ)|R=0=τ1D+τ2S20.

    For all ζ0, we conclude that the system solution remains in R5+.

    FFDη1,η20,ζN(ζ)=πυN.

    Observe that

    limζsupN(ζ)πυ. (3.5)

    Finally, the realm of biological viability for the system (3.4) can be demonstrated by

    ={(S1(ζ),M(ζ),D(ζ),S2(ζ),R(ζ))R5+:N(ζ)πυ}.

    Furthermore, the concept of divorce epidemic provided before (3.4) in the FF operators' Atangana-Baleanu is applied to obtain the steady state of the aforesaid model.

    The system (3.4) comprises the following configuration in its steady state as

    {FFDη1,η20,ζS1(ζ)=0,FFDη1,η20,ζM(ζ)=0,FFDη1,η20,ζD(ζ)=0,FFDη1,η20,ζS2(ζ)=0,FFDη1,η20,ζR(ζ)=0,

    we have the following

    E0=(S01,M0,,D0,S02,,R0)=(πβ1+υ,πβ1β1+υ,0,0,0).

    The basic reproductive number ˉR, which may be determined by applying the next-generation matrix [48] for the system (3.4), can be used to investigate the efficacy of DFE at E0. The divorce regulated reproductive number, denoted by ˉRc herein, is determined using the conventional notation presented as

    ˉRc=ρ(gV1)=(1α)β1υ+β1{ϖ2ξ2(υ+λ+τ1+ξ2)+ξ1(ϖ1(υ+τ2+ϖ3)+ϖ2ϖ3)(υ+λ+τ1+β2)(υ+τ2+ϖ3)}, (3.6)

    where

    g=[(1α)β1β1+υϖ1ξ1(1α)β1β1+υϖ1ξ2(1α)β1β1+υϖ2ξ1(1α)β1β1+υϖ2ξ2]andV1=[1υ+λ+τ1+β2ϖ3(υ+λ+τ1+β2)(υ+τ2+ϖ3)01(υ+τ2+ϖ3)]. (3.7)

    In the nonappearance of anti–divorce counseling and reunion, we get the breakup reproduction number by setting α=0,τ1=0,τ2=0, we have

    ˉRb=β1β1+υ(ξ1(ϖ1(υ+ϖ3)+ϖ2ϖ3)+β2ϖ2ξ2(υ+λ+β2)(ϖ3+υ)(λ+υ+β2)). (3.8)

    Furthermore, we only have reproductive data for individual interventions in regards of anti–divorce counseling and unification:

    ˉRad=β1(1α)β1+υ(ξ1(ϖ1(υ+ϖ3)+ϖ2ϖ3)+β2ϖ2ξ2(υ+λ+β2)(ϖ3+υ)(λ+υ+β2)),ˉRu=β1υ+β1(ϖ2ξ2(υ+λ+τ1+ξ2)+ξ1(ϖ1(υ+τ2+ϖ3)+ϖ2ϖ3)(υ+λ+τ1+β2)(υ+τ2+ϖ3)). (3.9)

    The divorce epidemic model (3.4) is locally asymptotically stable at the DFE E0, as shown in the presented model. Predicated on [48], we arrive at the following conclusions:

    Theorem 3.4. The divorce epidemic model (3.4) at the DFE E0 is locally asymptotically stable if ˉRc<1 which admits

    |arg(ν)|>1π2. (3.10)

    Proof. The presence of endemic divorce equilibrium comes directly from the following

    φm={(υ(υ+λ+τ1+β1)(υ+τ2+ϖ3)+β1ϖ2(υ+τ2)(υ+λ+τ1+β1)+(τ1β1+(β1β2))(ϖ2ϖ3+ϖ1(υ+τ2+ϖ3)))1×(υ(υ+β1)(υ+λ+τ1+β1)(υ+τ2+ϖ3)(ˉRc1)), (3.11)

    when φm0. Therefore, the divorce-endemic steady state can be obtained by utilizing (3.11), is denoted by E1=(¯S1,ˉM,ˉD,¯S2,ˉR).

    Notice from (3.11), φm>0 if and only if ˉR0>1 and β2<β1, which are the essential prerequisites for divorce to prevail in the marriage contract.

    The accompanying is the consequence of the linearization procedure of the system (3.1) at divorce endemic obtained by the Jacobian matrix:

    J=[(υ+β)0λ00β1(υ+φm)β2(1α)ξ1MN(1α)ξ2MN00ϖ1φmϖ1(1α)ξ2MN(υ+λ+τ1+β2)ϖ3+ϖ1(1α)ξ2MN00ϖ2φmϖ2(1α)ξ1MNϖ2(1α)ξ2MN(υ+τ2+ϖ3)000τ1τ2υ]. (3.12)

    From the aforesaid system (3.12), we can write

    JE1=[(υ+β)0λ0β1(υ+φm)β2(1α)ξ1ˉMN(1α)ξ2ˉMN0ϖ1φmϖ1(1α)ξ2ˉMN(υ+λ+τ1+β2)ϖ3+ϖ1(1α)ξ2ˉMN0ϖ2φmϖ2(1α)ξ1ˉMNϖ2(1α)ξ2ˉMN(υ+τ2+ϖ3)00τ1τ2]

    with the corresponding characteristic polynomial is

    b0+b1y1+b2y21+b3y31+b4y41=0, (3.13)

    where

    b0={φm((υ+β1)(υ+λ+τ1+β2)(υ+τ2+ϖ3)(λβ1+β2(υ+β1))ϖ2(1α)ˉMNξ2(ϖ1+1)+(ϖ2ϖ3+ϖ1(υ+τ2+ϖ3)))+υ(υ+β1)((υ+λ+τ1+β2)(υ+τ2+ϖ3)(1α)ˉMN(ξ2ϖ2(υ+λ+τ1+β1)+ξ1(ϖ2ϖ3+ϖ1(υ+τ2+ϖ3)))ϖ2(1α)2ξ1ξ2(1ϖ1)ˉMN),b1={(υ+β1)(υ+λ+τ1+β2)(υ+τ2+ϖ3)+υ((υ+β1)(2υ+τ2+τ2+λ+β2+ϖ3)+(υ+λ+τ1+β2)(υ+τ2+ϖ3))+φm{(υ+β1)(2υ+λ+τ1+τ2+β2+ϖ3)ϖ2β2(1α)ξ2(1ϖ1)ˉMN+(υ+λ+τ1+β2)(υ+τ2+ϖ3)ϖ1(λβ1+β2(υ+β1))β2(ϖ2ϖ3+ϖ1(υ+τ2+ϖ3))}+ξ1ξ2(2υ+β2(1ϖ1))(1α)2(ˉMN)2,b2={φm(3υ+β1+β2+λ+τ1+τ2+ϖ3ϖ1β2)+υ(3υ+β1+β2+λ+τ1+τ2+ϖ3)+(υ+β1)(2υ+τ1+τ2+λ+ξ2+ϖ3)ϖ2(1α)2ξ1ξ2(1ϖ1(ˉMN)2)+(υ+λ+τ1+β2)(υ+τ2+ϖ3)(1α)ˉMN(ξ2ϖ2(υ+λ+τ1+β2)+ξ1(ϖ2ϖ3+ϖ1(υ+τ2+ϖ3))+(2υ+β1)(ϖ1ξ1+ϖ2ξ2)),b3={υ(3υ+β1+β2+λ+τ1+τ2+ϖ3)+φm(1α)(ϖ1ξ1+ϖ2ξ2)ˉMN,b4=1.

    According to the Routh-Hurwitz stability condition [49], which admits that for the assumption reported b1b2b3>b23+b21b0, where b>0 for all =1,2,...,4. Ultimately, the Rough-Hurtwiz assumptions assure the local asymptotic stability of the divorce model (3.4) at DFE E0. As can be seen, all of the coefficients in (3.13) are non-negative. This demonstrates that ˉRc>1 and ˉM<N. It is clear that the endemic equilibrium of divorce if ˉRc>1 and ˉM<N is localized asymptotically.

    Here, employing the noted stability technique of the Lyapunov candidate [50], this report outlines the global behavior of framework (3.4) at the divorce-free steady state.

    Theorem 3.5. Suppose that the system (3.4) satisfies a global asymptotic divorce-free steady state if and only if ˉRc<1.

    Proof. Applying a matrix theoretic technique, as shown in [50], that generates the corresponding Lyapunov candidate

    U(ζ)=ξ1D(υ+λ+τ1+β2)+S2{ξ1ϖ3(υ+λ+τ1+β2)(υ+τ2+ϖ3)+ξ2(υ+τ2+ϖ3)},

    whose FFDη1,η20,ζ yields

    FFDη1,η20,ζ(U(ζ))=ξ1(υ+λ+τ1+β2){ϖ1((1α)ξ1D+ξ2S2N)M+ϖ3S2D(υ+λ+τ1+β2)}+{ξ1ϖ3(υ+λ+τ1+β2)(υ+τ2+ϖ3)+ξ2(υ+τ2+ϖ3)}×{ϖ2((1α)ξ1D+ξ2S2N)M+S2(υ+τ2+ϖ3)}.

    Simple computations yield

    FFDη1,η20,ζ(U(ζ))=(ξ1D+ξ2S2){M(1α)N(ξ1(ϖ1(υ+τ2+ϖ3)+ϖ2ϖ3)+ξ2ϖ2(υ+λ+τ1+β2)(υ+λ+τ1+β2)(υ+τ2+ϖ3))1}.

    Observe that in divorce-free steady state, MN=M0N0=β1υ+β1. Thus, we have

    FFDη1,η20,ζ(U(ζ))=(ξ1D+ξ2S2){β1(1α)υ+β1(ξ1(ϖ1(υ+τ2+ϖ3)+ϖ2ϖ3)+ξ2ϖ2(υ+λ+τ1+β2)(υ+λ+τ1+β2)(υ+τ2+ϖ3))1}.

    Hence, FFDη1,η20,ζ(U(ζ))=(ξ1D+ξ2S2)(¯Rc1),FFDη1,η20,ζ(U(ζ))0 and D=S2=0. According to Lyapunov's stability criterion [49], E0 is a globally asymptotically steady state point.

    Theorem 3.6. For β2=0, then the divorce-endemic steady state of model (3.4) is globally stable if ˉRc>1.

    Proof. Considering the Lyapunov candidate X(ζ) [51] presented as follow

    X(ζ)=ψ1(S1¯S1lnS1¯S1)+ψ2(MˉMlnMˉM)+ψ3(DˉDlnDˉD)+ψ4(S2¯S2lnS2¯S2)+ψ5(RˉRlnRˉR), (3.14)

    are positive constants ψ1,ψ2,...,ψ5 must be specifically selected.

    Applying FFDη1,η20,ζ on (3.14) and in view of (3.4) with the substitution β2=0 produces

    FFDη1,η20,ζ(X(ζ))=ψ1(S1¯S1S1){π+λD(β1+υ)S1}+ψ2(MˉMM){β1S1(υ+(1α)ξ1D+ξ2S2N)M}+ψ3(DˉDD){ϖ1(1α)ξ1D+ξ2S2NM+ϖ3S2(υ+λ+τ1)D}+ψ4(S2¯S2S2){ϖ2(1α)ξ1D+ξ2S2NM(υ+ϖ3+τ2)S2}+ψ5(RˉRR){τ1D+τ2S2υR}. (3.15)

    At E1=(¯S1,ˉM,ˉD,¯S2,ˉR), we have

    (β1+υ)¯S1=π+λˉD,β1¯S1=υˉM+ˉMξ1ˉD+ξ2¯S2N,(υ+λ+τ1)ˉD=ϖ3¯S2+ϖ1(1α)ξ1ˉD+ξ2¯S2N,(υ+ϖ3+τ2)¯S2=ϖ2(1α)ξ1ˉD+ξ2¯S2N,υˉR=τ1ˉD+τ2¯S2.

    Thus, we have

    FFDη1,η20,ζ(X(ζ))=ψ1π(2S1¯S1S21¯S12¯S1S1)ψ1λˉD(S1¯S1S1)(DˉDD)+ψ2¯υM(MˉMM)(S1¯S1MˉM)+ψ2ξ1(1α)(MˉMM)(S1¯S1MDˉMˉD)ˉMˉDN+ψ2ξ2(1α)(MˉMM)(S1¯S1MS2ˉM¯S1)ˉM¯S2N+ψ3ϖ1ξ1(1α)(DˉDD)(DMˉDˉMDˉD)ˉDˉMN+ψ3ϖ1ξ2(1α)(DˉDD)(S2M¯S2ˉMDˉD)¯S2ˉMN+ψ3ϖ1ϖ3ξ2(1α)(DˉDD)(S2¯S2DˉD)¯S2+ψ4ϖ2ξ1(1α)(S2ˉS2S2)(DMˉDˉMS2¯S2)ˉDˉMN+ψ4ϖ2ξ2(1α)(S2¯S2S2)(S2M¯S2ˉMS2¯S2)¯S2ˉMN+ψ5τ1ˉD(RˉRR)(DˉDRˉR)+ψ5τ2¯S2(RˉRR)(S2¯S2RˉR). (3.16)

    As (S1,M,D,S2,R)(¯S1,ˉM,ˉD,¯S2,ˉR),FFDη1,η20,ζ(X(ζ))<0,FFDη1,η20,ζ(X(ζ))=0 if S1=¯S1,M=ˉM,D=ˉD,S2=¯S2,D=ˉD. According to Lyapunov's stability criterion [49], divorce endemic is globally stable.

    Here, we intend to replace the first-order derivatives using innovative Atangana-Baleanu fractional derivative in Caputo sense to strengthen the system (3.1), as demonstrated in

    {ABCDη1ζS1(ζ)=π+λD(β1+υ)S1,ABCDη1ζM(ζ)=β1S1+β2D(υ+(1α)ξ1D+ξ2S2N),ABCDη1ζD(ζ)=ϖ1M(1α)ξ1D+ξ2S2N+ϖ3S2(υ+λ+τ1+β2D),ABCDη1ζS2(ζ)=ϖ2M(1α)ξ1D+ξ2S2N(υ+τ2+ϖ3)S2,ABCDη1ζR(ζ)=τ1D+τ2S2υR. (4.1)

    Employing the fixed point hypothesis, we evaluate the existence of a unique solution for the problem (4.1). To apply it, we convert the (4.1) divorce epidemic model into an integral formulation that includes the fractional order integral operator (2.7). The mechanism (4.1) can be written as follows:

    {ABCDη1ζΦ(ζ)=(ζ,Φ(ζ)),Φ(0)=Φ0,0<ζ<T<. (4.2)

    The vector Φ(ζ)=(S1,M,D,S2,R) reflects the initial configuration of parameters Φ0=(S1(0),M(0),D(0),S2(0),R(0)) illustrates the basic requirements that were described in (4.2). Additionally, denotes a continuous vector function as shown in:

    =[12345]=[π+λD(β1+υ)S1β1S1+β2D(υ+φm)ϖ1φmM+ϖ3S2(υ+λ+τ1+β2D)ϖ2φmM(υ+τ2+ϖ3)S2τ1D+τ2S2υR].

    Furthermore, the function admits the Lipschitz hypothesis stated as as:

    (ζ,Φ1(ζ))(ζ,Φ2(ζ))LωΦ1(ζ)Φ2(ζ),Lω>0. (4.3)

    Hence, Φ is a contraction from (4.3). Thus, (4.2) has a unique solution and so does the system (4.1) has a unique solution.

    Now, we use the underlying argument to arrive at the desired result.

    Theorem 4.1. The system (4.2) admits a unique solution if

    1η1ABC(η1)LΦ+η1ABC(η1)Γ(η1)Tη1maxLΦ<1. (4.4)

    Proof. By means of Definition 2.7 and considering (4.2), then the scheme is transformed to a Volterra integral equation as follows:

    Φ(ζ)=Φ0+1η1ABC(η1)(ζ,Φ(ζ))+η1ABC(η1)Γ(η1)ζ0(ζτ)η11(τ,Φ(τ))dτ. (4.5)

    Considering =(0,T) and the functional g:C(,R5)C(,R5) stated as

    Φ(ζ)=Φ0+1η1ABC(η1)(ζ,Φ(ζ))+η1ABC(η1)Γ(η1)ζ0(ζτ)η11(τ,Φ(τ))dτ. (4.6)

    Ultimately, (4.5) can be simplified as

    Φ(ζ)=g[Φ(ζ)]. (4.7)

    Applying the supremum norm indicated by . is written as:

    Φ(ζ)=supζΦ(ζ),Φ(ζ)C. (4.8)

    Clearly, the Banach space C(,R3) have the norm .. Furthermore, the ensuing variant is easily verified:

    ζ0K(ζ,τ)Φ(τ)dτTK(ζ,τ)Φ(ζ),Φ(ζ)C(,R+),K(ζ,τ)C(2,R) (4.9)

    such that

    K(ζ,τ)=supζ,τ|K(ζ,τ)|. (4.10)

    In view of (4.7), one can find

    g[Φ1(ζ)]g[Φ2(ζ)]1η1ABC(η1)((ζ,Φ1(ζ))(ζ,Φ2(ζ)))+η1ABC(η1)Γ(η1)ζ0(ζτ)η11((τ,Φ1(τ))(τ,Φ2(τ))). (4.11)

    Additionally, considering (4.3), (4.9), and triangular variant, (4.11) gives:

    g[Φ1(ζ)]g[Φ2(ζ)](1η1ABC(η1)LΦ+η1Tη1maxABC(η1)Γ(η1)LΦ)Φ1(ζ)Φ2(ζ).

    Consequently, this leads to the subsequent conclusion:

    g[Φ1(ζ)]g[Φ2(ζ)]ΥΦ1(ζ)Φ2(ζ),

    where

    Υ=1η1ABC(η1)LΦ+η1Tη1maxABC(η1)Γ(η1)LΦ<1.

    So that the expression g holds the (4.4) criterion, it can be a contraction mapping. As a result, the scheme suggested by (4.2) has a unique solution.

    In this part, we utilize Definition 2.3 to reconstruct the conventional integer-order divorce epidemic framework using the revolutionary FF operator. The divorce epidemic framework that develops when the FF operator is analyzed can be described in (3.3). Furthermore, the existence and uniqueness of the divorce epidemic framework developed in the FF operator are discussed clearly. To provide it, we shall use the following expression to produce the generic Cauchy problem containing a FF derivative:

    {FFDη1,η20,ζΔ(ζ)=Ψ(ζ,Δ(ζ)),Δ(0)=Δ0. (4.12)

    In view of Definition (2.3), the right hand side of (4.12) gives the foregoing expression:

    ABC(η1)1η1ddζζ0Ψ(x,Δ(x))ˉEη1(η11η1(ζx)η1)dx=η2ζη21Ψ(ζ,Δ(ζ)). (4.13)

    By making the use of integral operator, the conclusions are as follows:

    Δ(ζ)=1η1ABC(η1)η2ζη21Ψ(ζ,Δ(ζ))+η2η1ABC(η1)Γ(η1)ζ0(ζx)η11Ψ(x,Δ(x))xη21dx+Δ(0).

    Employing the Picard-Lindelöf method, we were able to

    21=Iu(ζu)ׯP0(Δ0),

    where ¯Iu(ζu)=[ζuυ1,ζu+υ1],¯P0(Δ0)=[ζ0ν1,ζ0+ν1].

    Assume the following:

    H=supζ21Ψ.

    In particular, the norm is written as follows:

    θ=supζ21θ,

    and introduce the functional

    Λ[[Iu(ζu),Pb(ζu)]](Iu(b),Pb(ζu)),

    defined as

    ΛΨ(ζ)=Ψ0+1η1ABC(η1)η2ζη21Ψ(ζ,Δ(ζ))+η1η2ABC(η1)Γ(η1)ζ0(ζx)η11Ψ(x,Δ(x))xη21dx.

    The essential objective is to demonstrate that the above function can convert a completely empty metric space onto itself. We also intend to illustrate that it has the competence to identify contractions. Therefore, we reveal that

    ΛΔ(ζ)Δ0b,ΛΔ(ζ)Δ01η1ABC(η1)η2ζη21Ψ(ζ,Δ(ζ))+η1η2ABC(η1)Γ(η1)ζ0(ζx)η11Ψ(x,Δ(x))xη21dx1η1ABC(η1)η2ζη21θ+η1η2ABC(η1)Γ(η1)θζ0(ζx)η11xη21dx.

    Putting x=ζw, then it produces the following

    ΛΔ(ζ)Δ01η1ABC(η1)η2ζη21θ+η1η2ABC(η1)Γ(η1)θζη1+η21B1(η2,η1).

    Consequently,

    ΛΔ(ζ)Δ0bθ<bB1(η2,η1)1η1ABC(η1)η2ζη21+η1η2ABC(η1)Γ(η1)ζη1+η21.

    Therefore, considering Δ1,Δ2[Iu(ζu),Pb(ζu)]. To find at the following modifications, apply the Banach fixed point theorem:

    ΛΔ1ΛΔ2LΦΔΔ2,

    where LΦ<1.

    ΛΔ1ΛΔ21η1ABC(η1)η2ζη21Ψ(ζ,Δ1)Ψ(ζ,Δ2)+η1η2ABC(η1)Γ(η1)ζ0(ζx)η11xη21Ψ(ζ,x1)Ψ(ζ,s2)dx.

    Using the fact of contraction mapping Ψ, so that

    ΛΔ1ΛΔ21η1ABC(η1)η2ζη21LΔΔ1Δ2+η1η2ABC(η1)Γ(η1)LΔΔ1Δ2ζ0(ζx)η11xη21dx1η1ABC(η1)η2ζη21LΔΔ1Δ2+η1η2ABC(η1)Γ(η1)LΔΔ1Δ2ζη1+η23B1(η2,η1).

    Therefore, we have

    ΛΔ1ΛΔ2(1η1ABC(η1)η2ζη21LΔ+η1η2ABC(η1)Γ(η1)LΔζη1+η23B1(η2,η1))Δ1Δ2<(1η1ABC(η1)η2aη21LΔ+η1η2ABC(η1)Γ(η1)LΔaη1+η23B1(η2,η1))Δ1Δ2.

    As a result, assuming the underpinning supposition is valid:

    LΔ<1η1ABC(η1)η2aη21LΔ+η1η2ABC(η1)Γ(η1)LΔaη1+η23B1(η2,η1),

    then the contraction supposition is fulfilled, thus, we have

    ΛΔ1ΛΔ2Δ1Δ2.

    Finally, the above process state that (3.3) has a unique solution. This completes the proof. In the next subsection, we explain the numerical methods for the proposed divorce epidemic system.

    Firstly, we established the numerical outcomes with the aid of the modified Adams-Bashforth method via the ABC fractional derivative operator, and then we found the numerical results using the Newton polynomial approach via the FF operator technique.

    To begin, we employ the modified fractional Adams–Bashforth approach introduced by [52] to assess the fractional system (4.1).

    The foremost mechanisms in the construction strategy of the fractional divorce epidemic system (4.1) are effectively described using a modified Adams-Bashforth technique. Following implementing the ABC integral to construct (2.7), we currently get the following integral equation:

    Φ(ζ)Φ(0)=1η1ABC(η1)Λ(ζ,Φ(ζ))+η1ABC(η1)Γ(η1)ζ0(ζτ)η11Λ(τ,Φ(τ))dτ.

    Also, plugging ζ=ζs+1, where s=0,1,2,..., yields

    Φ(ζs+1)Φ(0)=1η1ABC(η1)Λ(ζs,Φ(ζs))+η1ABC(η1)Γ(η1)ζs+10(ζm1+1τ)η11Λ(τ,Φ(τ))dτ=1η1ABC(η1)Λ(ζs,Φ(ζs))+η1ABC(η1)Γ(η1)s=0ζ+1ζ(ζm1+1τ)η11Λ(τ,Φ(τ))dτ. (5.1)

    Here, we compute the functional by attempting to use the interpolation polynomial technique Λ(τ,Φ(τ)) on [ζ,ζ+1]:

    Λ(τ,Φ(τ))P(τ)=τζ1Λ(ζ,Φ(ζ))τζΛ(ζ1,Φ(ζ1)).

    (5.1) diminishes to

    Φ(ζs+1)=Φ(0)+1η1ABC(η1)Λ(ζs,Φ(ζs))+η1ABC(η1)Γ(η1)s=0(Λ(ζ,Φ(ζ))ζ+1ζ(τζ1)(ζs+1τ)η11dτΛ(ζ1,Φ(ζ1))ζ+1ζ(τζ)(ζs+1τ)η11dτ). (5.2)

    As a consequence of merging the integrals in (5.2), we obtained the following results:

    Φ(ζs+1)=Φ(0)+1η1ABC(η1)Λ(ζs,Φ(ζs))+η1ABC(η1)s=0(η1Λ(ζ,Φ(ζ))Γ(η1+2)((s+η1+2)(s+1)η1(s)η1(s+2(1+η1)))η1Λ(ζ1,Φ(ζ1))Γ(η1+2)((s+1)η1+1(sη1+1+η1)(s)η1)).

    Now, we perform a detailed evaluation of the mathematical system (3.4), which is based on a promising means developed using the Newton polynomial strategy. This methodology, which was initially envisioned in [53], seems to be more effective than the alternative methods available in the investigation. To continue ahead, utilizing the plan, we employ the formula.

    FFDη1,η2ζΔ(ζ)=Ψ(ζ,Δ(ζ)). (5.3)

    Integrating (5.3) with respect to x over 0 to ζ, we find

    Δ(ζ)Δ(0)=1η1ABC(η1)η2ζη21Ψ(ζ,Δ(ζ))+η1η2ABC(η1)Γ(η1)ζ0(ζx)η11xη21Ψ(ζ,Δ(ζ))dx. (5.4)

    Taking W(ζ,Δ(ζ))=η2ζη21Ψ(ζ,Δ(ζ)), then (5.4) reduces to

    Δ(ζ)Δ(0)=1η1ABC(η1)W(ζ,Δ(ζ))+η1ABC(η1)Γ(η1)ζ0(ζx)η11W(x,Δ(x))dx. (5.5)

    At ζu+1=(n+1)Δζ, we have

    Δ(ζu+1)Δ(0)=1η1ABC(η1)W(ζu,Δ(ζu))+η1ABC(η1)Γ(η1)ζu+10(ζu+1x)η11W(x,Δ(x))dx. (5.6)

    Also, we get

    Δ(ζu+1)=Δ(0)+1η1ABC(η1)W(ζu,Δ(ζu))+η1ABC(η1)Γ(η1)uκ=2ζκ+1ζκ(ζu+1x)η11W(x,Δ(x))dx. (5.7)

    Using the fact of the Newton polynomial to find the function W(ζ,Δ(ζ)), we have

    Pu(x)=W(ζu2,Δ(ζu2))+W(ζu1,Δ(ζu1))W(ζu2,Δ(ζu2))Δζ(xζu2)+W(ζu,Δ(ζu))2W(ζu1,Δ(ζu1))+W(ζu2,Δ(ζu2))2(Δζ)2×(xζu2)(xζu1). (5.8)

    Substituting (5.8) into (5.5), gives

    Δu+1=Δ0+1η1ABC(η1)W(ζu,Δ(ζu))+η1ABC(η1)Γ(η1)uκ=2ζκ+1ζκ(ζu+1x)η11(W(ζ2,Δ2)+W(ζ1,Δ1)W(ζ2,Δ2)Δζ(xζ2)+W(ζ,Δ)2W(ζ1,Δ1)+W(ζ2,Δ2)2(Δζ)2(xζ2)(xζ1))dx. (5.9)

    Simple computations yield, we have

    Δu+1=Δ0+1η1ABC(η1)W(ζu,Δ(ζu))+η1ABC(η1)Γ(η1)uκ=2{ζκ+1ζκ(ζu+1x)η11W(ζ2,Δ2)dx+ζκ+1ζκ(ζu+1x)η11W(ζ1,Δ1)W(ζ2,Δ2)Δζ(xζ2)dx+ζκ+1ζκ(ζu+1x)η11W(ζ,Δ)2W(ζ1,Δ1)+W(ζ2,Δ2)2(Δζ)2(xζ2)(xζ1)dx}.

    Note that

    Δu+1=Δ0+1η1ABC(η1)W(ζu,Δ(ζu))+η1ABC(η1)Γ(η1)uκ=2W(ζ2,Δ2)ζκ+1ζκ(ζu+1x)η11dx+η1ABC(η1)Γ(η1)uκ=2W(ζ1,Δ1)W(ζ2,Δ2)Δζζκ+1ζκ(ζu+1x)η11(xζ2)dx+η1ABC(η1)Γ(η1)uκ=2W(ζ,Δ)2W(ζ1,Δ1)+W(ζ2,Δ2)2(Δζ)2×ζκ+1ζκ(ζu+1x)η11(xζ2)(xζ1)dx. (5.10)

    After simplifying, we have

    ζκ+1ζκ(ζu+1x)η11dx=(Δζ)η1{(uκ+1)η1(uκ)η1}η1,ζκ+1ζκ(xζκ2)(ζu+1x)η11dx=(Δζ)η1+1{(uκ+1)η1(uκ+2η1+3)(uκ+1)η1(uκ+3η1+3)}η1(η1+1),ζκ+1ζκ(ζu+1x)η11(xζ2)(xζ1)dx=(Δζ)η1+2η1(η1+1)(η1+2)×{(uκ+1)η1[2(uκ)2+(3η1+10)(uκ)+2η21+9η1+12](uκ)η1[2(uκ)2+(5η1+10)(uκ)+6η21+18η1+12]}. (5.11)

    It follows that

    Δu+1=Δ0+1η1ABC(η1)W(ζu,Δ(ζu))+η1(Δζ)η1ABC(η1)Γ(η1+1)uκ=2W(ζ2,Δ2){(uκ+1)η1(uκ)η1}+η1(Δζ)η1ABC(η1)Γ(η1+2)uκ=2{W(ζ1,Δ1)W(ζ2,Δ2)}×{(uκ+1)η1(uκ+2η1+3)(uκ+1)η1(uκ+3η1+3)}+η1(Δζ)η12ABC(η1)Γ(η1+2)uκ=2{W(ζ,Δ)2W(ζ1,Δ1)+W(ζ2,Δ2)}×{(uκ+1)η1[2(uκ)2+(3η1+10)(uκ)+2η21+9η1+12](uκ)η1[2(uκ)2+(5η1+10)(uκ)+6η21+18η1+12]}. (5.12)

    Thus, the general approximate divorce epidemic model:

    Δu+1=Δ0+1η1ABC(η1)η2ζη21uW(ζu,Δ(ζu))+η1(Δζ)η1ABC(η1)Γ(η1+1)uκ=2η2ζη21κ2W(ζ2,Δ2){(uκ+1)η1(uκ)η1}+η2η1(Δζ)η1ABC(η1)Γ(η1+2)uκ=2{ζη21κ1W(ζ1,Δ1)ζη21κ2W(ζ2,Δ2)}×{(uκ+1)η1(uκ+2η1+3)(uκ+1)η1(uκ+3η1+3)}+η2η1(Δζ)η12ABC(η1)Γ(η1+2)uκ=2{ζη21κW(ζ,Δ)2tη21κ1W(ζ1,Δ1)+ζη21κ2W(ζ2,Δ2)}×{(uκ+1)η1[2(uκ)2+(3η1+10)(uκ)+2η21+9η1+12](uκ)η1[2(uκ)2+(5η1+10)(uκ)+6η21+18η1+12]}. (5.13)

    In what follows, we numerically simulated the suggested systems (3.3) and (4.1) employing the MATLAB programming and the system parameters listed in Table 1 to facilitate comprehension of the examined outcomes via the FF operator in the Atangana-Baleanu context.

    Figures 24 show that couples who attend marital information sessions and have a sense of reconciling in addressing respective conflicts have a better chance of progressing or enduring in their relationship for a longer period of time. However, if the aforesaid rules are disregarded, the relationship can simply disintegrate. Figures 24 depict the influence of anti-divorce regulation on separated individuals via the FF derivative operator. While rapprochement and anti-divorce counseling are lacking, and incidences of marital dissolution (divorce) continue consistently in the parental network. Additionally, the findings show that by using regulations, separated instances in marital establishments may be eradicated, and married couples who stay married for up to 3 decades can have a compassionate domestic framework and no more separate their mates when there is decrease in fractional-order and a significant boost in the fractal-dimension, respectively.

    Figure 2.  Nature of the singles S1(ζ) and married cases M(ζ) when η1 decreases and η2 increases for the scheme 5.2.
    Figure 3.  Nature of the divorced D(ζ) and separated cases S2(ζ) when η1 decreases and η2 decreases for the scheme 5.2.
    Figure 4.  Nature of the restored marital cases R(ζ) when η1 decreases and η2 increases for the scheme 5.2.

    Figures 57 show how increasing the incidence of unification benefits fractured communities by reconnecting them and thus increasing the proportion of incidents healed via the FF derivative operator in the Atangana-Baleanu context. Lacking a proper rapprochement procedure, estranged or emancipated couples will stay dysfunctional. Furthermore, Figures 57 show the effect of β2 on divorcees. The significant variability in β2 diminishes the number of marriages that end in disaster. As a result, it is reasonable to conclude that re-marriage between the divorcing aids in the reunification of fractured communities when the fractional-order increases and there is a significant decrease in fractal-dimension.

    Figure 5.  Nature of the singles S1(ζ) and married cases M(ζ) when η1 increases and η2 decreases for the scheme 5.2.
    Figure 6.  Nature of the divorced D(ζ) and separated cases S2(ζ) when η1 increases and η2 decreases for the scheme 5.2.
    Figure 7.  Nature of the restored marital cases R(ζ) when η1 increases and η2 decreases for the scheme 5.2.

    The delimited instances in Figures 810 expand rapidly in comparison to the marital situations via the FF derivative in the context of the Atanagan-Baleanu operator. This suggests that as long as couples remain united, domestic dysfunction in the form of relationship breakdown is likely to occur. Alternatively, divorce cannot occur in the absence of a marital relationship, and the greater the number of incidents of people getting married, the greater the number of divorced couples. We noticed the system's reproductive quantities' behavioral tendencies in relation to the variant ˉRc<ˉRb<ˉRad<ˉRu. This represents the fact that using an amalgamation of rapprochement and anti-divorced procedures is more effective in preserving relationships than using a solitary therapy incorporating the decrease in fractional-order and keeping fractal-dimension fixed, respectively.

    Figure 8.  Nature of the single S1(ζ) and married cases M(ζ) when η1 decreases and η2=1 for the scheme 5.2.
    Figure 9.  Nature of the divorced D(ζ) and separated cases S2(ζ) when η1 decreases and η2=1 for the scheme 5.2.
    Figure 10.  Nature of the restored marital cases R(ζ) when η1 decreases and η2=1 for the scheme 5.2.

    In Figures 1113, the estimate grows in the situation where the individuals have not received adequate preconception counseling and also don't resolve their disagreements on a regular basis with the FF derivative operator in the Atangana-Baleanu perspective. Furthermore, the findings suggest that matrimonial individuals who have been together for more than 1.5 decades without separating are less predisposed to breakup when fractal-dimension is increased and fractional-order is assumed to be 1, respectively.

    Figure 11.  Nature of the single S1(ζ) and married cases M(ζ) when η1=1 and increase in η2 for the scheme 5.2.
    Figure 12.  Nature of the divorced D(ζ) and separated cases S2(ζ) when η1=1 and increase in η2 for the scheme 5.2.
    Figure 13.  Nature of the restored marital cases R(ζ) when η1=1 and increase in η2 for the scheme 5.2.

    Figures 1416 show that using the Atanagan-Baleanu fractional derivative in the Caputo context and the scheme developed in subsection 5.1 reduces breakup significantly in the early stages. This rise in difficulty encourages individuals to seek counseling; that increases in the first few weeks but then falls and stabilizes after several months, implying that it drives the wider community to marry, but as counseling declines, remarriage declines as well. Figures 1719 show the numerical and graphical results, which show that these two numerical algorithms produce the same results with minor differences. Also, we investigated the effect of fractal dimensions and fractional orders on these simulations. Also, the effect of different values for the average number of separated people and the restored cases was simulated in some graphs under the Adams-Bashforth method. This study showed that we can predict the next behavior of the FF divorce epidemic model via the two mentioned numerical methods and their results are more accurate and identical.

    Figure 14.  Nature of the single S1(ζ) and married cases M(ζ) with and without control when η1=0.95 for the scheme 5.1.
    Figure 15.  Nature of the divorced D1(ζ) and separated cases S2(ζ) with and without control when η1=0.95 for the scheme 5.1.
    Figure 16.  Nature of the restored marital cases R(ζ) with and without control when η1=0.95 for the scheme 5.1.
    Figure 18.  Numerical illustrations in the Comparison of the numerical solutions of the Adams-Bashforth method with Newton polynomials method under the η1=η2=0.9 for the divorced D(ζ) and separated cases S2(ζ)..
    Figure 17.  Numerical illustrations in the Comparison of the numerical solutions of the Adams-Bashforth method with Newton polynomials method under the η1=η2=0.9 for the single S1(ζ) and married cases M(ζ)..
    Figure 19.  Numerical illustrations in the Comparison of the numerical solutions of the Adams-Bashforth method with Newton polynomials method under the η1=η2=0.9 for the restored cases R(ζ)..

    Additionally, it is critical to note that, as indicated in [2], peace in family reunification is preferable to marital seminars/courses.

    The evolution of the divorce pandemic combined with anti-divorce counseling has been established and investigated by considering two novel fractional derivative operator techniques depending on the generalized Mittag-Leffler function. At both equilibria, the structures were shown to be locally and globally asymptotically robust. At a divorce-free steady state, four basic reproduction number ˉR have been estimated, indicating that separation will never be an outbreak in the population if counseling is provided. The Picard-Lendelöf mechanism is performed to prove its existence and uniqueness. In the following experiments, the proposed divorce epidemic system is reconstructed using a novel fractional-fractal operator in the Atangana-Baleanu perspective. The existence and uniqueness of the fractional-fractal divorce epidemic framework are shown. Additionally, powerful and robust methods were used to examine both the aforesaid fractional frameworks. We conclude that the fractal-fractional model provides a solid understanding of epidemic dynamics and may be implemented as a trustworthy modeling approach based on the graphical outcomes. The investigation's numerical findings imply that the existence of corrective measures, including marital seminars/courses and rapprochement attempts, can assure protracted successful marriages and avoid or restore social dynamics breaches (detachment or separation).

    The authors declare no conflicts of interest.



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