Throw of a die: Dependance on initial conditions and chaos

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SUMMARY

The discussion centers on modeling the physics of a die throw to validate the probability of outcomes being 1/6 for a fair die. It emphasizes the necessity of understanding initial conditions and the chaotic nature of the throw, suggesting that similar initial conditions can lead to different outcomes. The conversation highlights the lack of an accurate model that accounts for all collisions and interactions during the die's motion. Additionally, it raises the question of computing the probability distribution for an asymmetric die, specifically a rectangular cuboid with varying dimensions.

PREREQUISITES
  • Understanding of classical mechanics and chaos theory
  • Familiarity with numerical simulations in physics
  • Knowledge of probability theory and statistical distributions
  • Basic concepts of die geometry and mass distribution
NEXT STEPS
  • Research chaos theory applications in physical systems
  • Explore numerical simulation techniques for modeling physical phenomena
  • Study probability distributions for asymmetric objects in physics
  • Investigate empirical methods for modeling collisions and interactions in rolling objects
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Physicists, mathematicians, and anyone interested in the intersection of chaos theory and probability, particularly in modeling physical systems like dice throws.

greypilgrim
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Hi,

We normally use a simple symmetry argument to show that the probability of each outcome of a throw of a fair, cube-shaped die is 1/6. However, is it possible to actually model the physics of the throw and show that the probabilities are 1/6?

Since this is classical physics, the outcome can in principle be predicted knowing the inital conditions of the throw. So I guess we'd have to show that very similar initial conditions lead to any of the six outcomes. A numerical simulation of the throw might get nasty, but maybe there's a simpler chaos-theoretic argument?
 
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In practice, one needs a model based not only on initial conditions, but accurate empirical descriptions of all the collisions and interactions as the die is rolling and bouncing along. To my knowledge, an accurate model for all this is unavailable.
 
If already this is unavailable, is there a way to compute the probability distribution of an asymmetric die, consisting of a general rectangular cuboid with different sides a,b,c (or maybe let's first have a=b) with constant mass distribution, if the initial conditions are "random enough"?
 

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