Throw of a die: Dependance on initial conditions and chaos

In summary, the conversation discusses the possibility of using a symmetry argument to show the probability of each outcome of a throw of a fair, cube-shaped die is 1/6. It is then suggested that a model based on initial conditions and accurate empirical descriptions of collisions and interactions would be necessary for a more accurate prediction. However, the availability of such a model is uncertain. The conversation also explores the possibility of computing the probability distribution for an asymmetric die with different sides and a constant mass distribution, given random initial conditions.
  • #1
greypilgrim
548
38
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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  • #2
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.
 
  • #3
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"?
 

FAQ: Throw of a die: Dependance on initial conditions and chaos

What is the "throw of a die" experiment?

The "throw of a die" experiment is a simple simulation of tossing a six-sided die and recording the outcome. This experiment can be used to study the concept of randomness and the effects of initial conditions on the outcome.

How do initial conditions affect the outcome of the die throw?

The initial conditions, such as the force and angle of the throw, can greatly affect the outcome of the die throw. These factors can influence the trajectory of the die and ultimately determine which side it lands on.

What is the concept of dependence on initial conditions?

Dependence on initial conditions refers to how small changes in the starting conditions can lead to significantly different outcomes. In the context of the "throw of a die" experiment, this means that even a slight change in the initial conditions can result in a different side of the die facing up after the throw.

How does chaos theory relate to the "throw of a die" experiment?

Chaos theory is the study of complex and unpredictable systems that are highly sensitive to initial conditions. The "throw of a die" experiment is a simple example of chaos theory as it demonstrates how small changes in the initial conditions can lead to vastly different outcomes.

What are some real-world applications of studying the "throw of a die" experiment?

Studying the "throw of a die" experiment can help us understand the concept of randomness and how small changes in initial conditions can lead to unpredictable outcomes. This knowledge can be applied to various fields such as weather forecasting, stock market analysis, and even sports predictions.

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