The Distribution of Molecular Speeds — Question 4

Section 19-6 · Physics pages 3138–3139

Question 4 A narrow speed window selects a probability rather than a density A Maxwell gas has most probable speed vp = 400 m/s and density f(v) = 4v2e−v2/v2 p/(√πv3 p). A detector samples 106 independent molecules without speed bias. Its accepted window is 399–401 m/s. v f(v) Axes and labels specify the model; the sketch is schematic. (a) Estimate the accepted fraction and expected count using the midpoint approximation. (b) For a window of total width w centered at vp, derive the leading relative correction to wf(vp) from f′′(vp)/f(vp) = −4/v2 p. Evaluate it at w = 2 m/s.
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Question 4 - Solution A narrow speed window selects a probability rather than a density v f(v) (a) Method and calculation f(vp) = 4 e√πvp ≈2.07554 × 10−3 s/m. P ≃(2 m/s)f(vp) ≈.00415107, ⟨Naccepted⟩≈4151.07. (b) Interpretation and further calculation ∫w/2 −w/2 [ f(vp) + 1 2f′′(vp)x2 + · · · ] dx = wf(vp) + w3 24 f′′(vp) + · · · . P −wf(vp) wf(vp) ≃−w2 6v2p = −4.16667 × 10−6. The midpoint estimate is slightly high because the density is concave downward near its maximum. Physical check An expected count can be noninteger; the observed count is an integer with statistical variation.

Question 4

A narrow speed window selects a probability rather than a density

A Maxwell gas has most probable speed vp=400v_p=400 m/s and density f(v)=4v2e−v2/vp2/(πvp3)f(v)=4v^2e^{-v^2/v_p^2}/(\sqrt\pi v_p^3). A detector samples 10610^6 independent molecules without speed bias. Its accepted window is 399–401 m/s.

Diagram shown in the original SVG worksheet.

  1. Estimate the accepted fraction and expected count using the midpoint approximation.

  2. For a window of total width ww centered at vpv_p, derive the leading relative correction to wf(vp)wf(v_p) from f′′(vp)/f(vp)=−4/vp2f^{\prime\prime}(v_p)/f(v_p)=-4/v_p^2. Evaluate it at w=2w=2 m/s.

Question 4 - Solution

A narrow speed window selects a probability rather than a density

Diagram shown in the original SVG worksheet.

(a) Method and calculation

f(vp)=4eπvp≈2.07554×10−3s/m.f(v_p)=\frac4{e\sqrt\pi v_p}\approx2.07554\times10^{-3}\,\mathrm{s/m}.P≃(2m/s)f(vp)≈.00415107,⟨Naccepted⟩≈4151.07.P\simeq(2\,\mathrm{m/s})f(v_p)\approx.00415107,\quad\langle N_{\mathrm{accepted}}\rangle\approx4151.07.

(b) Interpretation and further calculation

∫−w/2w/2[f(vp)+12f′′(vp)x2+⋯]dx=wf(vp)+w324f′′(vp)+⋯.\int_{-w/2}^{w/2}\left[f(v_p)+\tfrac12f^{\prime\prime}(v_p)x^2+\cdots\right]dx=wf(v_p)+\frac{w^3}{24}f^{\prime\prime}(v_p)+\cdots.P−wf(vp)wf(vp)≃−w26vp2=−4.16667×10−6.\frac{P-wf(v_p)}{wf(v_p)}\simeq-\frac{w^2}{6v_p^2}=-4.16667\times10^{-6}.The midpoint estimate is slightly high because the density is concave downward near its maximum.

Physical check

An expected count can be noninteger; the observed count is an integer with statistical variation.