Problems on Statistical Physics

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11 th January 2016 1 PYL-202, Tutorial No. 1 1. This problem is just for revising a bit about permutations and combinations. Consider throwing of 8 true dice. Find the probability of obtaining (a) Exactly one ace. (b) At least one ace. (c) Exactly two aces. 2. In the class we considered Stirling’s approximation for N ! 2πNN N e -N . Prove this by using Gaussian approximation to the Gamma Integral viz. n! = R 0 e -t t n dt. 3. N gas molecules are in a container of volume V . Let v be the volume of a small region, and n number of molecules in this region. Calculate P(n), the distribution of n. Assume the molecules are non-interacting. Define p, probability of having a particle inside the volume v to be p = v/V . What happens in the limit (Thermodynamic limit) N →∞, and p 0 such that the density N/V λ, where λ is a constant? 4. A long chain of molecules (freely moving in water) is composed of N links, each of length l. Let the direction of each link be an independent variable, distributed uniformly. Calculate < R 2 >, where R is the relative position vector of the first and the last molecules. This sometimes referred to as Freely Jointed Chain model for polymers. 5. Let the random variable x be uniformly distributed in 0 < x < 1. Calculate the distribution of t = τ ln(1/ x). 6. The step length distribution of a bacterium called E. Coli is described by a so called negative exponential distribution given by P(α, x) = e -alphax . Is the distribution normalized? Find the mean and variance of this distribution.

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Transcript of Problems on Statistical Physics

Page 1: Problems on Statistical Physics

11th January 2016 1

PYL-202, Tutorial No. 1

1. This problem is just for revising a bit about permutations and combinations. Consider throwing of

8 true dice. Find the probability of obtaining

(a) Exactly one ace.

(b) At least one ace.

(c) Exactly two aces.

2. In the class we considered Stirling’s approximation for N! ≈√

2πN NNe−N . Prove this by using

Gaussian approximation to the Gamma Integral viz. n! =∫ ∞

0e−ttn dt.

3. N gas molecules are in a container of volume V . Let v be the volume of a small region, and n

number of molecules in this region. Calculate P(n), the distribution of n. Assume the molecules

are non-interacting. Define p, probability of having a particle inside the volume v to be p = v/V .

What happens in the limit (Thermodynamic limit) N → ∞, and p → 0 such that the density

N/V → λ, where λ is a constant?

4. A long chain of molecules (freely moving in water) is composed of N links, each of length l. Let

the direction of each link be an independent variable, distributed uniformly. Calculate < R2 >,

where R is the relative position vector of the first and the last molecules. This sometimes referred

to as Freely Jointed Chain model for polymers.

5. Let the random variable x be uniformly distributed in 0 < x < 1. Calculate the distribution of

t = τ ln(1/x).

6. The step length distribution of a bacterium called E. Coli is described by a so called negative

exponential distribution given by P(α, x) = e−alphax. Is the distribution normalized? Find the mean

and variance of this distribution.