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Understanding entropy and its connection to probability distributions

The difference comes from the distinction between microstates and macrostates. It is the distribution over the microstates that is uniform. However, macrostates encompass many microstates with varying ...
LPZ's user avatar
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1 vote

How thick would a coin have to be s.t. the probability to land on its "side" is exactly 1/3?

I'll try to generalize by reducing the case of different bouncing behaviors to the one proposed in the question. With the prescribed rule, the coin bounces once, and only once. Suppose the bouncing ...
Confuse-ray30's user avatar
10 votes

How thick would a coin have to be s.t. the probability to land on its "side" is exactly 1/3?

Let $\theta$ denote the half-angle of the cone formed by the coin's center, the center of one of its faces (heads or tails), and a point on the edge of that face. The heads and tails surfaces ...
Willy Wallace's user avatar
1 vote

Any fractal physical model that generates time series which demonstrate heavy-tailed (non-Gaussian) behavior in some form?

Brownian motion might qualify as the simplest physical example of a fractal time-series, but its fractal dimension (2) is a very very round number as far as fractal dimensions go. More general Lévy ...
TLDR's user avatar
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3 votes
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Difficulty with a scaling argument

I believe the "crack length distribution" $\sim w^\gamma$ is meant to be the probability that a single crack will have length $<w$. In other words, there are two subtle things here: (a) ...
Andrew's user avatar
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0 votes

Probability density and wavefunction

The wave function tells you where you are most likely to find a particle. There are places where the probabilities are clustered in a higher density and places the probability density is lower. If you ...
Graham Daldry's user avatar

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