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A physically extended Lorenz system
Author(s) -
Sungju Moon,
Jaemyeong Mango Seo,
Beom-Soon Han,
Junho Park,
JongJin Baik
Publication year - 2019
Publication title -
chaos an interdisciplinary journal of nonlinear science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.971
H-Index - 113
eISSN - 1089-7682
pISSN - 1054-1500
DOI - 10.1063/1.5095466
Subject(s) - lorenz system , attractor , ordinary differential equation , scalar (mathematics) , rayleigh number , bifurcation , chaotic , nonlinear system , mathematics , physics , instability , mathematical analysis , parameter space , classical mechanics , chaotic mixing , convection , differential equation , mechanics , statistical physics , natural convection , geometry , computer science , thermodynamics , advection , quantum mechanics , artificial intelligence
The Lorenz system is a simplified model of Rayleigh-Bénard convection, a thermally driven fluid convection between two parallel plates. Two additional physical ingredients are considered in the governing equations, namely, rotation of the model frame and the presence of a density-affecting scalar in the fluid, in order to derive a six-dimensional nonlinear ordinary differential equation system. Since the new system is an extension of the original three-dimensional Lorenz system, the behavior of the new system is compared with that of the old system. Clear shifts of notable bifurcation points in the thermal Rayleigh parameter space are seen in association with the extension of the Lorenz system, and the range of thermal Rayleigh parameters within which chaotic, periodic, and intermittent solutions appear gets elongated under a greater influence of the newly introduced parameters. When considered separately, the effects of scalar and rotation manifest differently in the numerical solutions; while an increase in the rotational parameter sharply neutralizes chaos and instability, an increase in a scalar-related parameter leads to the rise of a new type of chaotic attractor. The new six-dimensional system is found to self-synchronize, and surprisingly, the transfer of solutions to only one of the variables is needed for self-synchronization to occur.

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