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Golden ratio and phyllotaxis, a clear mathematical link
François Bergeron1, Christophe Reutenauer2
1Département de mathématiques, Université du Québec à Montréal, Montreal, Canada. Bergeron.Francois@uqam.ca.
This study links number approximation difficulty to plant growth capacity, mathematically explaining the golden ratio's natural occurrence. This provides a novel perspective on mathematical constants in biological systems.
Area of Science:
- Number Theory
- Mathematical Biology
- Plant Physiology
Background:
- Markoff's theory provides a framework for understanding rational approximations of real numbers.
- The prevalence of the golden ratio in nature suggests underlying mathematical principles governing biological growth and form.
Purpose of the Study:
- To establish a mathematical link between the difficulty of approximating real numbers and a plant's idealized growth capacity.
- To provide a theoretical explanation for the natural occurrence of the golden ratio using principles from number theory and mathematical biology.
Main Methods:
- Utilizing Markoff's theory to analyze rational approximations of real numbers.
- Defining a modular invariant function to represent plant growth capacity, dependent on the approximated number.
- Connecting the mathematical properties of number approximations to biological growth parameters.
Main Results:
- A direct correlation was established between the complexity of approximating a number and its associated idealized plant growth capacity.
- The modular invariant function demonstrated that numbers with simpler rational approximations correspond to higher growth capacities.
- The golden ratio emerged as a number with a particularly high growth capacity within this mathematical framework.
Conclusions:
- The study provides a rigorous mathematical explanation for the golden ratio's ubiquity in nature, rooted in number approximation theory.
- The concept of 'growth capacity' as a modular invariant offers a novel way to bridge abstract mathematics and biological phenomena.
- This research opens avenues for exploring other mathematical constants and their potential biological relevance through similar theoretical approaches.
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