Probabilities and binomial theorem

AI Thread Summary
The discussion focuses on calculating the probability of finding n particles in a subvolume v of an ideal gas contained in volume V, with the probability defined as P = v/V. For part (a), the chance of having n particles in the subvolume is given by (v/V)^N, indicating that the particles behave independently. In part (b), the binomial theorem is applied to derive the average number of particles and the variance, leading to calculations involving p and q. The calculations for part (b) are described as straightforward but lengthy. The overall approach emphasizes the independence of particle distribution in an ideal gas scenario.
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Homework Statement



Consider an ideal gas of N identical particles in a volume V, and a subvolume v. The chance a molecule is in inside the subvolume is P = v/V.

a) What is the chance the subvolume contains n particles?

b) Use the binomial theorem (p + q)^N = \sum_{n = 0}^N p^n q^{N-n} \frac{N!}{n!(N-n)!} for random p and q to calculate the average number of particles \langle n\rangle and the variance \sigma^2 = \langle n^2 \rangle - \langle n \rangle^2

Anyone who could give me a nudge in the right direction?
 
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As the gas is ideal, the particles can go inside the subvolume independently. Thus, the answer is (v/V)^N =p^N. Part (b) follows from straightforward but long calculations.
 
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