Parallel Dynamical Systems: Characterization, Chaos Preservation, and Synchronization Applications

Document Type : Original Article

Authors
1 Department of Mathematics, Urmia University
2 Department of Mathematics, Ferdowsi University of Mashhad
10.22034/maco.5.2.12
Abstract
This paper introduces and rigorously analyzes the concept of parallel dynamical systems, a novel framework for understanding and achieving synchronization
in chaotic systems. For any given dynamical system defined by ordinary differential
equations, we construct a corresponding parallel system through a scaling transformation of phase space variables. We prove rigorously that the parallel system
preserves all fundamental chaotic properties of the original system, including sensitive dependence on initial conditions, topological transitivity, and density of periodic
orbits. This theoretical foundation enables a controller-free synchronization method
where systems naturally synchronize through appropriate initial condition scaling.
Numerical simulations of the Lorenz system validate our theoretical predictions,
demonstrating perfect synchronization and practical applicability

Keywords

Subjects


[1] Perko, L. (2013). Differential equations and dynamical systems (Vol. 7). Springer Science & Business Media.
[2] Karimi, S., Effati, S., & Ghane, F. H. (2019). The synchronization of chaotic systems applying the parallel synchronization method. Physica Scripta, 94(10), 105215.
[3] Lorenz, E. N. (1963). Deterministic non-periodic flow. Journal of Atmospheric Sciences, 20(2), 130-141.
[4] Baia, M., et al. (2025). Synchronization of branching chain of dynamical systems. Physica D: Nonlinear Phenomena, 134664.
[5] Khalil, H. K. (2002). Nonlinear systems. Prentice Hall.
[6] Muhammad, J., et al. (2025). Exploring the exact solutions to the nonlinear systems with neural networks method. Scientific Reports, 15, 36818.
[7] Rabiee, M., et al. (2022). The occurrence of riddled basins and blowout bifurcations in a parametric nonlinear system. Physica D: Nonlinear Phenomena, 435, 133291.
[8] Robinson, C. (1998). Dynamical systems: stability, symbolic dynamics, and chaos. CRC Press.
[9] Cuomo, K. M., Oppenheim, A. V., & Strogatz, S. H. (2002). Synchronization of Lorenz-based chaotic circuits with applications to communications. IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 40(10), 626-633.
[10] Sternberg, S. (2010). Dynamical systems. Courier Corporation.