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Kicked General Fractional Lorenz-Type Equations: Exact Solutions and Multi-Dimensional Discrete Maps
1Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Moscow 119991, Russia.
This study introduces generalized Lorenz-type equations using general fractional derivatives and periodical kicks. Exact analytical solutions and discrete maps with memory were derived for these complex chaotic systems.
Area of Science:
- Nonlinear Dynamics and Chaos Theory
- Fractional Calculus
- Mathematical Physics
Background:
- Lorenz-type systems are fundamental models of chaotic behavior in dissipative dynamical systems.
- Existing models often lack the capacity to describe systems with memory effects.
- General Fractional Derivatives (GFDs) offer a framework to incorporate memory functions into dynamical systems.
Purpose of the Study:
- To generalize Lorenz-type equations by incorporating general fractional derivatives (GFDs) and periodical kicks.
- To derive exact analytical solutions for these generalized systems, accommodating nonlinearity and memory.
- To develop discrete maps with memory (DMMs) that precisely represent the dynamics of kicked GF Lorenz-type systems.
Main Methods:
- Application of General Fractional Derivatives (GFDs) to Lorenz-type equations.
- Derivation of exact analytical solutions for nonlinear equations with GFDs and memory functions.
- Construction of multi-dimensional Discrete Maps with Memory (DMMs) from the exact solutions without approximations.
Main Results:
- Exact analytical solutions were obtained for a wide class of nonlinear Lorenz-type equations with GFDs.
- Novel Discrete Maps with Memory (DMMs) were derived, accurately describing the dynamics at discrete time points.
- The methodology allows for the derivation of DMMs for arbitrary dimensions and complex nonlinearities.
Conclusions:
- The study successfully generalized Lorenz-type systems using GFDs, enabling the modeling of systems with memory.
- The derived exact analytical solutions and DMMs provide powerful tools for analyzing complex chaotic dynamics.
- This work offers a significant advancement in understanding and solving fractional-order chaotic systems.
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