Abstract

The formation of Turing patterns was investigated in thin cylindrical layers using the Lengyel-Epstein model of the chlorine dioxide-iodine-malonic acid reaction. The influence of the width of the layer W and the diameter D of the inner cylinder on the pattern with intrinsic wavelength l were determined in simulations with initial random noise perturbations to the uniform state for W < l/2 and D ∼ l or lower. We show that the geometric constraints of the reaction domain may result in the formation of helical Turing patterns with parameters that give stripes (b = 0.2) or spots (b = 0.37) in two dimensions. For b = 0.2, the helices were composed of lamellae and defects were likely as the diameter of the cylinder increased. With b = 0.37, the helices consisted of semi-cylinders and the orientation of stripes on the outer surface (and hence winding number) increased with increasing diameter until a new stripe appeared.

Highlights

  • The formation of Turing patterns was investigated in thin cylindrical layers using the Lengyel-Epstein model of the chlorine dioxide-iodine-malonic acid reaction

  • Whilst evidence of Turing’s mechanism was difficult to obtain in living systems, chemists found hexagonal and striped Turing patterns in the chlorite–iodide–malonic acid reaction in gels in open reactors

  • We investigate patterns in thin cylindrical layers using the Lengyel-Epstein model of the chlorine dioxide-iodinemalonic acid (CDIMA) reaction. Even in these thin layers, pattern selection can be influenced by the third dimension: helices were obtained from random initial conditions in cylinders when spots were observed in two dimensions

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Summary

Introduction

The formation of Turing patterns was investigated in thin cylindrical layers using the Lengyel-Epstein model of the chlorine dioxide-iodine-malonic acid reaction. Even in these thin layers, pattern selection can be influenced by the third dimension: helices were obtained from random initial conditions in cylinders when spots were observed in two dimensions.

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