Thickness of a three-sided coin: A molecular dynamics study
1X-Computational Physics Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA.
Physical Review. E
|May 19, 2021
Summary
This study numerically determined the aspect ratio for a fair three-sided coin toss. The critical aspect ratio for equal probabilities of landing heads, tails, or sideways was found to be approximately 0.866.
Area of Science:
- Physics of granular materials
- Fluid dynamics
- Statistical mechanics
Background:
- The behavior of tossed objects, like coins, is typically analyzed assuming two outcomes (heads or tails).
- A 'three-sided coin' (cylinder) offers a unique case with three potential landing states: heads, tails, or sideways.
- Understanding the critical aspect ratio is key to achieving a fair, three-outcome toss.
Purpose of the Study:
- To numerically calculate the precise aspect ratio of a cylinder that results in equal probabilities for heads, tails, or sideways landings.
- To compare numerical findings with existing analytical models of coin-tossing dynamics.
- To investigate the physical mechanisms influencing the outcomes of tossing cylindrical objects.
Main Methods:
- Extensive numerical simulations of coin tosses were performed across a wide range of aspect ratios.
- Over 7x10^8 individual tosses were simulated to ensure statistical significance.
- The aspect ratio, defined as the ratio of length to diameter, was systematically varied.
Main Results:
- The critical aspect ratio for a fair three-sided coin toss was determined to be slightly less than sqrt(3)/2 (approximately 0.866).
- Numerical results were consistent with and extended previous analytical predictions.
- The study identified key dynamic mechanisms governing the toss outcomes.
Conclusions:
- A cylinder with an aspect ratio near 0.866 can be considered a fair three-sided coin.
- Numerical simulations provide a robust method for exploring complex physical phenomena like coin tossing.
- This research contributes to the understanding of object dynamics and probability in physical systems.
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