A Hint of Quantum Theory — Question 4

Section 19-9 · Physics pages 3198–3199

Question 4 An oscillator ladder has a geometric distribution of excitation numbers A quantum harmonic mode has excitation energies Ej = j∆, j = 0, 1, 2, . . ., measured above its ground energy. The probability is proportional to qj, where q = e−Θ/T and Θ = ∆/kB = 1000 K. Use ∑∞ j=0 qj = 1/(1 −q). j = 0 j = 1 j = 2 j = 3 ∆ Equally spaced oscillator levels; higher levels continue beyond the sketch. (a) Normalize the probabilities and calculate the mean excitation number at 500 K by differentiating the geometric sum. (b) Find the probability of two or more quanta and compare the mean excitation energy with the classical value kBT.
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Question 4 - Solution An oscillator ladder has a geometric distribution of excitation numbers j = 0 j = 1 j = 2 j = 3 ∆ (a) Method and calculation Pj = (1 −q)qj, ⟨j⟩= (1 −q)q d dq 1 1 −q = q 1 −q = 1 eΘ/T −1. T = 500 K : ⟨j⟩= 1 e2 −1 ≈.156518. (b) Interpretation and further calculation P(j ≥2) = (1 −q) ∞ ∑ j=2 qj = q2 = e−4 ≈.0183156. ⟨E⟩= .156518∆, kBT = .500∆, ⟨E⟩ kBT ≈.313035. Excitation energy is strongly suppressed when the spacing exceeds the thermal energy scale. Physical check The ground-state probability is nonzero, and the excitation number fluctuates; the mean need not be an integer.

Question 4

An oscillator ladder has a geometric distribution of excitation numbers

A quantum harmonic mode has excitation energies Ej=jΔE_j=j\Delta, j=0,1,2,…j=0,1,2,\ldots, measured above its ground energy. The probability is proportional to qjq^j, where q=e−Θ/Tq=e^{-\Theta/T} and Θ=Δ/kB=1000\Theta=\Delta/k_B=1000 K. Use ∑j=0∞qj=1/(1−q)\sum_{j=0}^\infty q^j=1/(1-q).

Diagram shown in the original SVG worksheet.

  1. Normalize the probabilities and calculate the mean excitation number at 500 K by differentiating the geometric sum.

  2. Find the probability of two or more quanta and compare the mean excitation energy with the classical value kBTk_BT.

Question 4 - Solution

An oscillator ladder has a geometric distribution of excitation numbers

Diagram shown in the original SVG worksheet.

(a) Method and calculation

Pj=(1−q)qj,⟨j⟩=(1−q)qddq11−q=q1−q=1eΘ/T−1.P_j=(1-q)q^j,\quad\langle j\rangle=(1-q)q\frac d{dq}\frac1{1-q}=\frac q{1-q}=\frac1{e^{\Theta/T}-1}.T=500K:⟨j⟩=1e2−1≈.156518.T=500\,\mathrm K:\quad\langle j\rangle=\frac1{e^2-1}\approx.156518.

(b) Interpretation and further calculation

P(j≥2)=(1−q)∑j=2∞qj=q2=e−4≈.0183156.P(j\ge2)=(1-q)\sum_{j=2}^\infty q^j=q^2=e^{-4}\approx.0183156.⟨E⟩=.156518Δ,kBT=.500Δ,⟨E⟩kBT≈.313035.\langle E\rangle=.156518\Delta,\quad k_BT=.500\Delta,\quad\frac{\langle E\rangle}{k_BT}\approx.313035.Excitation energy is strongly suppressed when the spacing exceeds the thermal energy scale.

Physical check

The ground-state probability is nonzero, and the excitation number fluctuates; the mean need not be an integer.