A Statistical View of Entropy — Question 4

Section 20-7 · Physics pages 3358–3359

Question 4 Relative occupancy fluctuations shrink as the particle number grows For N independent particles in equal box halves, write n = ∑N i=1 Xi, where Xi = 1 if particle i is on the left and 0 otherwise. Each outcome has probability 1/2. Use independence to add variances. N σn/⟨n⟩ Axes and labels specify the model; the sketch is schematic. (a) Derive the mean and standard deviation of n. Evaluate both for N = 108, including the standard deviation of the fraction n/N. (b) Find the minimum integer N for the standard deviation divided by mean left occupancy to be no greater than 1 percent. Distinguish this criterion from a guarantee on every observation.
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Question 4 - Solution Relative occupancy fluctuations shrink as the particle number grows N σn/⟨n⟩ (a) Method and calculation ⟨Xi⟩= 1/2, Var(Xi) = 1/2 −(1/2)2 = 1/4. ⟨n⟩= N/2, σn = √ N/2; N = 108 : ⟨n⟩= 5 × 107, σn = 5000. σn/N = 1/(2 √ N) = 5 × 10−5. (b) Interpretation and further calculation σn ⟨n⟩= 1 √ N ≤.010 ⇒ N ≥104. σn ∝ √ N, σn/⟨n⟩∝N−1/2. Absolute fluctuations grow while relative fluctuations shrink. A one-standard-deviation criterion is not a bound on all possible outcomes. Physical check The diagram shows the decreasing scaling, not a normal approximation or a statement that fluctuations vanish exactly.

Question 4

Relative occupancy fluctuations shrink as the particle number grows

For NN independent particles in equal box halves, write n=∑i=1NXin=\sum_{i=1}^N X_i, where Xi=1X_i=1 if particle ii is on the left and 0 otherwise. Each outcome has probability 1/21/2. Use independence to add variances.

Diagram shown in the original SVG worksheet.

  1. Derive the mean and standard deviation of nn. Evaluate both for N=108N=10^8, including the standard deviation of the fraction n/Nn/N.

  2. Find the minimum integer NN for the standard deviation divided by mean left occupancy to be no greater than 1 percent. Distinguish this criterion from a guarantee on every observation.

Question 4 - Solution

Relative occupancy fluctuations shrink as the particle number grows

Diagram shown in the original SVG worksheet.

(a) Method and calculation

⟨Xi⟩=1/2,Var⁡(Xi)=1/2−(1/2)2=1/4.\langle X_i\rangle=1/2,\quad\operatorname{Var}(X_i)=1/2-(1/2)^2=1/4.⟨n⟩=N/2,σn=N/2;N=108:⟨n⟩=5×107,σn=5000.\langle n\rangle=N/2,\quad\sigma_n=\sqrt N/2;\quad N=10^8:\ \langle n\rangle=5\times10^7,\ \sigma_n=5000.σn/N=1/(2N)=5×10−5.\sigma_{n/N}=1/(2\sqrt N)=5\times10^{-5}.

(b) Interpretation and further calculation

σn⟨n⟩=1N≤.010⇒N≥104.\frac{\sigma_n}{\langle n\rangle}=\frac1{\sqrt N}\le.010\quad\Rightarrow\quad N\ge10^4.σn∝N,σn/⟨n⟩∝N−1/2.\sigma_n\propto\sqrt N,\qquad\sigma_n/\langle n\rangle\propto N^{-1/2}.Absolute fluctuations grow while relative fluctuations shrink. A one-standard-deviation criterion is not a bound on all possible outcomes.

Physical check

The diagram shows the decreasing scaling, not a normal approximation or a statement that fluctuations vanish exactly.