Abstract:Matthews [12] introduced a new distance P on a nonempty set X, which he called a partial metric. The purpose of this paper is to present some fixed point results for weakly contractive type mappings in ordered partial metric space. An application to nonlinear fractional boundary value problem is also presented.
“…1, the system started to bifurcate at q = 0.95, and then for q ∈ (0.95, 1] the system is chaotic. This observation is verified by the phase portrait of given model (21) depicted in Figs. 2 and 3 for q = 0.95 and q = 0.99, respectively.…”
Section: Bifurcations Due To Variation Of Qsupporting
confidence: 73%
“…Bifurcation analysis of system (21) related to fractional derivative order q and three of the parameters in the model β 1 , β 2 , and β 3 are performed. In addition, a Matlab pseudo-code for Lyapunov exponents of fractional systems called the Danca algorithm [56] is used to quantify the chaos by calculating Lyapunov exponents for different fractional orders of model (21). The values for parameters are a 1 = 0.3, a 2 = 0.8, ς = 1.4, β 1 = 10, β 2 = 13, and β 3 = 0.1.…”
Section: Lyapunov Exponents Bifurcation and Chaos Via Different Value...mentioning
confidence: 99%
“…The eigenvalues of the trivial EP of model (21) for β 3 = 0.4, (a 1 = 0.3, a 2 = 0.8, ς = 1.4, β 1 = 10, β 2 = 13) are given as λ 1 = 0, λ 2 = -1.3113 ± 2.7417i, and λ 3 = 2.2226, and hence the trivial EP of system ( 21) is unstable for β 3 = 0.4. Therefore the chance for system (21) in this particular case is to tend to a nontrivial EP as illustrated in Fig. 11.…”
Section: Bifurcation Diagram Due To Variation Of βmentioning
confidence: 99%
“…The impact of applying different initial conditions on dynamic system ( 21) is addressed using different initial conditions and simulation results in this section. Since chaotic systems are famous to be sensitive to given initial conditions, it is better to investigate dynamic system (21) in terms of different initial conditions. The values of used parameters are q = 0.98, β 1 = 10, β 2 = 13, β 3 = 0.1, a 1 = 0.3, a 2 = 0.8, ς = 1.4.…”
A memristor is naturally a nonlinear and at the same time memory element that may substitute resistors for next-generation nonlinear computational circuits that can show complex behaviors including chaos. A four-dimensional memristor system with the Atangana–Baleanu fractional nonsingular operator in the sense of Caputo is investigated. The Banach fixed point theorem for contraction principle is used to verify the existence–uniqueness of the fractional representation of the given system. A newly developed numerical scheme for fractional-order systems introduced by Toufik and Atangana is utilized to obtain the phase portraits of the suggested system for different fractional derivative orders and different parameter values of the system. Analysis on the local stability of the fractional model via the Matignon criteria showed that the trivial equilibrium point is unstable. The dynamics of the system are investigated using Lyapunov exponents for the characterization of the nature of the chaos and to verify the dissipativity of the system. It is shown that the supposed system is chaotic and it is significantly sensitive to parameter variation and small initial condition changes.
“…1, the system started to bifurcate at q = 0.95, and then for q ∈ (0.95, 1] the system is chaotic. This observation is verified by the phase portrait of given model (21) depicted in Figs. 2 and 3 for q = 0.95 and q = 0.99, respectively.…”
Section: Bifurcations Due To Variation Of Qsupporting
confidence: 73%
“…Bifurcation analysis of system (21) related to fractional derivative order q and three of the parameters in the model β 1 , β 2 , and β 3 are performed. In addition, a Matlab pseudo-code for Lyapunov exponents of fractional systems called the Danca algorithm [56] is used to quantify the chaos by calculating Lyapunov exponents for different fractional orders of model (21). The values for parameters are a 1 = 0.3, a 2 = 0.8, ς = 1.4, β 1 = 10, β 2 = 13, and β 3 = 0.1.…”
Section: Lyapunov Exponents Bifurcation and Chaos Via Different Value...mentioning
confidence: 99%
“…The eigenvalues of the trivial EP of model (21) for β 3 = 0.4, (a 1 = 0.3, a 2 = 0.8, ς = 1.4, β 1 = 10, β 2 = 13) are given as λ 1 = 0, λ 2 = -1.3113 ± 2.7417i, and λ 3 = 2.2226, and hence the trivial EP of system ( 21) is unstable for β 3 = 0.4. Therefore the chance for system (21) in this particular case is to tend to a nontrivial EP as illustrated in Fig. 11.…”
Section: Bifurcation Diagram Due To Variation Of βmentioning
confidence: 99%
“…The impact of applying different initial conditions on dynamic system ( 21) is addressed using different initial conditions and simulation results in this section. Since chaotic systems are famous to be sensitive to given initial conditions, it is better to investigate dynamic system (21) in terms of different initial conditions. The values of used parameters are q = 0.98, β 1 = 10, β 2 = 13, β 3 = 0.1, a 1 = 0.3, a 2 = 0.8, ς = 1.4.…”
A memristor is naturally a nonlinear and at the same time memory element that may substitute resistors for next-generation nonlinear computational circuits that can show complex behaviors including chaos. A four-dimensional memristor system with the Atangana–Baleanu fractional nonsingular operator in the sense of Caputo is investigated. The Banach fixed point theorem for contraction principle is used to verify the existence–uniqueness of the fractional representation of the given system. A newly developed numerical scheme for fractional-order systems introduced by Toufik and Atangana is utilized to obtain the phase portraits of the suggested system for different fractional derivative orders and different parameter values of the system. Analysis on the local stability of the fractional model via the Matignon criteria showed that the trivial equilibrium point is unstable. The dynamics of the system are investigated using Lyapunov exponents for the characterization of the nature of the chaos and to verify the dissipativity of the system. It is shown that the supposed system is chaotic and it is significantly sensitive to parameter variation and small initial condition changes.
“…For example, see [1,2,3,4,5,6,8,11,13,15,17,18,19,20,21]. However, many researchers prove the existence and uniqueness of a coincident point and common fixed point for two self-mappings on different types of metric spaces.…”
We show the existence of common fixed point and a coincident point for two weakly compatible selfmappings defined on a complete partial S-metric space X, where the contraction in the assumption of the main result has three control functions, α, ψ, φ.
Some complicated events can be modeled by systems of differential equations. On the other hand, inclusion systems can describe complex phenomena having some shocks better than the system of differential equations. Also, one of the interests of researchers in this field is an investigation of hybrid systems. In this paper, we study the existence of solutions for hybrid and non-hybrid k-dimensional sequential inclusion systems by considering some integral boundary conditions. In this way, we use different methods such as α-ψ contractions and the endpoint technique. Finally, we present two examples to illustrate our main results.
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