Skip to main content

Thermal unit · institution-dependent · Interactive lesson

The Maxwell-Boltzmann speed distribution

The kinetic model needed only ⟨v²⟩, but a gas is not one speed. This topic hands you the whole spread as a probability density you can integrate, so you can ask how many molecules are slower than this or faster than that, and watch the answer collapse exponentially out along the tail where evaporation and atmospheric escape live.

UPIII-06.06 · Lesson 6 of 9 in this unit. Position is not a completion score.
Starting model: The Maxwell-Boltzmann speed distributionMaxwell-Boltzmann speed distribution f(v) for a gas of molar mass 28 g mol⁻¹ at 300 K, on a fixed speed axis from 0 to 3000 m s⁻¹, with unit area under the curve. Dashed lines mark v_p = 422, ⟨v⟩ = 476 and v_rms = 517 m s⁻¹; the solid line at v₀ = 1000 m s⁻¹ is the threshold whose tail fraction the figure prints.v₀probability density f(v)vₚ = 422 m s⁻¹⟨v⟩ = 476 m s⁻¹vᵣₘₛ = 517 m s⁻¹dashed lines, left to rightabove v₀: 1.06 %0100020003000 m s⁻¹
Start with a picture. Change the model in the lab below.

Thermal unit · institution-dependent. Many departments teach thermal physics separately or within Physics II. Check whether your university includes this numbered unit in Physics III.

1

Build the model

Temperature fixes one average; the distribution fixes every fraction.

The key idea

The Maxwell-Boltzmann speed distribution f(v) is the probability density of molecular speed in a classical gas at equilibrium: f(v) dv is the fraction of molecules whose speeds lie between v and v + dv, and the density integrates to 1 over all speeds.

Example. For nitrogen at 300 K, f(500 m s⁻¹) = 1.84 × 10⁻³ s m⁻¹, so the 10 m s⁻¹ band from 495 to 505 m s⁻¹ holds a fraction 1.84 × 10⁻³ × 10 = 0.018 of the molecules, about one in 54.

The complete physical model and assumptions

Maxwell's argument starts from what the last topic fixed: in equilibrium each velocity component has ½m⟨vₓ²⟩ = ½kT, the components are independent, and nothing in the gas prefers a direction. The only distribution satisfying all three is a Gaussian in each component with variance kT/m, so the probability of a velocity in the element d³v is proportional to e(−mv²/2kT) d³v, a Boltzmann factor in the kinetic energy. Speed is the magnitude of that vector, and all velocities of one speed v fill a shell of volume 4πv² dv; multiplying the two gives f(v) = 4π (m/2πkT)³⁄² v² e(−mv²/2kT). The shell factor v² wins at low speed, the exponential wins at high speed, and between them sits a skewed hump. Because ∫₀^∞ f(v) dv = 1, f is a probability density in s m⁻¹, and every how-many question becomes an integral of it. The most probable, mean and rms speeds are the peak and two moments of one curve, in the fixed ratio 1 : 1.128 : 1.225, and the whole curve depends on m and T only through vₚ = √(2kT/m), so heating a gas and lightening it are the same stretch. The model stops where its assumptions stop: it needs collisions to hold the gas in equilibrium, so a molecular beam or a collisionless exosphere is not described by it, and it needs a classical gas, so the electron gas in a metal, whose thermal wavelength exceeds the spacing between electrons, obeys a different distribution altogether.

1From velocity components to speed: where the v² comes from

The construction rests on three facts about an equilibrium gas: each velocity component obeys ½m⟨vₓ²⟩ = ½kT, no component knows about the others, and no direction is preferred. Only a Gaussian in each component satisfies them all, so the probability of finding a molecule's velocity inside d³v goes as e(−m(vₓ² + vy² + vz²)/2kT) d³v = e(−mv²/2kT) d³v: the kinetic energy's Boltzmann factor, the same at every point of velocity space with one speed. Speed is a magnitude, so to count molecules with speed between v and v + dv you add that density over the spherical shell of radius v and thickness dv, whose volume is 4πv² dv. That is the origin of the v² in f(v): more distinct velocities exist at a larger speed, not more molecules wanting to move fast. So f(0) = 0, although the velocity density peaks there, and at large v the exponential wins. For nitrogen at 300 K the exponent at 1000 m s⁻¹ is −(1000/422)² = −5.6, so the Boltzmann factor is e(−5.6) = 0.0037 while the shell factor has grown only 5.6-fold since the peak: the tail is exponentially thin.

2Normalise it, and the prefactor is no longer free

A density is useful only once its integral is fixed. Write the shape as f(v) = A v² e(−v²/vₚ²) with vₚ² = 2kT/m, and demand ∫₀^∞ f dv = 1. Substituting u = v/vₚ turns the integral into A vₚ³ ∫₀^∞ u² e(−u²) du = A vₚ³ √π/4, so A = 4/(√π vₚ³), which is 4π (m/2πkT)³⁄² written out in m and T. Two things follow. First, the dimensions: vₚ³ carries m³ s⁻³, so f carries s m⁻¹ and f(v) dv is a pure number, a fraction, as it must be. Second, in reduced form the fraction in du is (4/√π) u² e(−u²) du: one curve for every gas at every temperature, with m and T supplying only the scale vₚ. Using it is then a matter of reading the density. For nitrogen at 300 K, vₚ = 422 m s⁻¹ and the peak height is f(vₚ) = (4/√π)(1/e)/vₚ = 0.830/vₚ = 1.97 × 10⁻³ s m⁻¹, so a 10 m s⁻¹ band at the peak holds about 2.0 % of the molecules and the same band at 500 m s⁻¹ holds 1.8 %. A wide band needs the integral rather than f × Δv, because f changes across it.

3Three speeds from one curve, and why they are ordered

The peak comes from df/dv = 0: d/dv[v² e(−v²/vₚ²)] = 2v e(−v²/vₚ²)(1 − v²/vₚ²), which vanishes at v = vₚ = √(2kT/m). The mean is the first moment, ⟨v⟩ = ∫₀^∞ v f dv = vₚ (4/√π) ∫₀^∞ u³ e(−u²) du = vₚ (4/√π)(1/2) = 2vₚ/√π = 1.128 vₚ. The mean square is the second moment, ⟨v²⟩ = vₚ² (4/√π) ∫₀^∞ u⁴ e(−u²) du = vₚ² (4/√π)(3√π/8) = (3/2) vₚ² = 3kT/m, so vᵣₘₛ = √(3/2) vₚ = 1.225 vₚ. That last line is the check on the whole construction, because it returns the ½m⟨v²⟩ = (3/2)kT that the kinetic model demanded before any distribution was written down. The order vₚ < ⟨v⟩ < vᵣₘₛ is not an accident of the numbers: the curve is bounded at v = 0 and unbounded on the right, so its long tail drags the mean past the peak, and the rms weights that tail by v² and is dragged further. For nitrogen at 300 K the three are 422, 476 and 517 m s⁻¹; only 42.8 % of the molecules are slower than vₚ, 53.3 % slower than ⟨v⟩ and 60.8 % slower than vᵣₘₛ.

4Heat it or lighten it: the same stretch

Because f depends on m and T only through vₚ = √(2kT/m), every change of temperature or of gas is a rescaling of the speed axis. Quadrupling T doubles vₚ: the curve stretches to twice the width and, since the area under it must stay 1, its peak drops to half, because f(vₚ) = 0.830/vₚ is inversely proportional to vₚ. Swapping gases at fixed T does the same through the mass: helium (M = 4.00 g mol⁻¹) at 300 K has vₚ = 1117 m s⁻¹, 2.65 times nitrogen's 422 m s⁻¹, so its curve is 2.65 times broader and 2.65 times lower, while xenon (131.3 g mol⁻¹) is compressed by √(131.3/28.0) = 2.17 the other way. The rms speed inherits the scaling exactly: vᵣₘₛ = √(3RT/M) is 1.225 vₚ, so it too goes as √T and as 1/√M, and a plot of vᵣₘₛ against M at fixed T is one inverse-square-root curve that every gas sits on. One consequence deserves stating outright: helium at 42.9 K has the same vₚ as nitrogen at 300 K, and therefore the identical speed distribution, same peak, same mean, same rms, same tail, because T/M is all the curve knows.

5The tail: exponentially rare and in charge

The fraction faster than v₀ is the integral of the reduced density from x = v₀/vₚ to infinity. Integrating (4/√π) u² e(−u²) by parts gives N(v > v₀)/N = (2x/√π) e(−x²) + erfc(x); for x ≥ 2 the erfc term is small and the tail is ≈ (2x/√π) e(−x²)(1 + 1/(2x²)). For nitrogen at 300 K, 1.06 % of molecules exceed 1000 m s⁻¹, where x = 2.37, and one in 73 000 exceeds 1500 m s⁻¹. Warm the gas to 600 K and the fraction above 1000 m s⁻¹ is 13.2 %, a factor of 12.5 for a factor of 2 in T, because the exponent x² = mv₀²/2kT halves, not the fraction. Evaporation lives here: only tail molecules can leave a liquid surface, so the rate rises steeply with T, and the leavers carry off more than the mean energy, cooling what remains. The same tail governs atmospheric escape, with v₀ the escape speed. At the top of the atmosphere, hydrogen atoms at 1000 K have x = 2.76 and 0.165 % of them exceed 11.2 km s⁻¹ at any instant; helium has x = 5.50 and a fraction 5 × 10⁻¹³; atomic oxygen has x = 11 and a fraction of order 10⁻⁵². Hydrogen leaks away fast, helium over the planet's lifetime, oxygen never.

6Where the distribution stops applying

Each assumption in the derivation is a check to make before quoting f(v). It is an equilibrium distribution, maintained by collisions that refill the tail as fast as escape or reaction empties it; where collisions are too rare for that, in the collisionless exosphere above about 500 km or in a beam leaving an oven, the speeds are not Maxwellian; the beam carries an extra factor of v because faster molecules reach the aperture more often. And it is classical. A gas is classical when the thermal de Broglie wavelength λ = h/√(2πmkT) is far smaller than the spacing between molecules; for nitrogen at 300 K and 1 atm, λ = 1.9 × 10⁻¹¹ m against a spacing n(−1/3) = 3.4 × 10⁻⁹ m, a margin of 180, so Maxwell-Boltzmann is safe. For the conduction electrons in copper the ratio is inverted, λ some twenty times the spacing, and the speeds obey the Fermi-Dirac distribution instead. The correspondence runs the right way: in the classical limit both quantum distributions reduce to the Boltzmann factor, so Maxwell's curve is the low-density, high-temperature end of a more general result.

2

Key equations

Read the units, assumptions and limits before substituting.

Speed distribution

f(v) = 4π (m/(2πkT))³⁄² v² e(−mv²/(2kT))

v² counts the shell of velocity space at speed v and the exponential is the Boltzmann factor for kinetic energy ½mv²; their product is the skewed hump.

f in s m⁻¹; m molecular mass in kg; k = 1.381 × 10⁻²³ J K⁻¹; T in K; v in m s⁻¹

Normalisation and reduced form

∫₀^∞ f(v) dv = 1, so in u = v/vₚ the density is (4/√π) u² e(−u²)

One universal curve for every gas at every temperature: m and T enter only through the scale vₚ.

u dimensionless; the integral ∫₀^∞ u² e(−u²) du = √π/4 sets the prefactor

Most probable speed

vₚ = √(2kT/m) = √(2RT/M)

The peak of f(v), from df/dv = 0. It is the single speed scale in the problem; every other speed is a fixed multiple of it.

M molar mass in kg mol⁻¹; R = 8.314 J mol⁻¹ K⁻¹; nitrogen at 300 K: 422 m s⁻¹

Mean speed

⟨v⟩ = ∫₀^∞ v f(v) dv = √(8kT/(πm)) = 1.128 vₚ

The average that collision rates and effusion fluxes need. It sits to the right of the peak because the tail is one-sided.

in m s⁻¹; nitrogen at 300 K: 476 m s⁻¹

Mean square speed

⟨v²⟩ = ∫₀^∞ v² f(v) dv = 3kT/m, so vᵣₘₛ = 1.225 vₚ

Recovers ½m⟨v²⟩ = (3/2)kT from the distribution itself, the check that the curve is the right one.

vᵣₘₛ in m s⁻¹; nitrogen at 300 K: 517 m s⁻¹

Fraction faster than v₀

N(v > v₀)/N = erfc(x) + (2x/√π) e(−x²), with x = v₀/vₚ

The tail collapses as e(−x²) = e(−mv₀²/2kT). This is what makes escape and evaporation so selective in mass and temperature.

erfc(x) = 1 − erf(x); for x ≥ 2 the tail is ≈ (2x/√π) e(−x²) (1 + 1/(2x²)), about 1 % high at x = 2 and closer beyond
3

Interactive lab

Predict first. Explore the model. Compare the result.

Explore the model

300 K
200 to 1000 K; steps of 20.
28 g mol⁻¹
4 to 40 g mol⁻¹; steps of 2.
1000 m s⁻¹
500 to 3000 m s⁻¹; steps of 50.

Try this. Heat nitrogen from 300 K to 1000 K and watch the fraction above 1000 m s⁻¹ climb from about 1 % to 34 % as the curve flattens and spreads; then return to 300 K and slide the molar mass down to helium's 4 g mol⁻¹ to grow an even larger tail from mass alone, with the temperature unchanged.

Live results

MOST PROBABLE vₚ
422 m s⁻¹
PEAK HEIGHT f(vₚ)
1.97 10⁻³ s m⁻¹
x = v₀/vₚ
2.37
EXPONENT x² = mv₀²/2kT
5.61

Results follow this lesson’s model and assumptions. Displayed values are rounded.

Interactive Physics III modelMaxwell-Boltzmann speed distribution f(v) for a gas of molar mass 28 g mol⁻¹ at 300 K, on a fixed speed axis from 0 to 3000 m s⁻¹, with unit area under the curve. Dashed lines mark v_p = 422, ⟨v⟩ = 476 and v_rms = 517 m s⁻¹; the solid line at v₀ = 1000 m s⁻¹ is the threshold whose tail fraction the figure prints.v₀probability density f(v)vₚ = 422 m s⁻¹⟨v⟩ = 476 m s⁻¹vᵣₘₛ = 517 m s⁻¹dashed lines, left to rightabove v₀: 1.06 %0100020003000 m s⁻¹
Maxwell-Boltzmann speed distribution f(v) for a gas of molar mass 28 g mol⁻¹ at 300 K, on a fixed speed axis from 0 to 3000 m s⁻¹, with unit area under the curve. Dashed lines mark vₚ = 422, ⟨v⟩ = 476 and vᵣₘₛ = 517 m s⁻¹; the solid line at v₀ = 1000 m s⁻¹ is the threshold whose tail fraction the figure prints.

Predict → change one variable → check

Plan a change before running it. Every other input stays at the saved baseline.

Saved baseline. Temperature T: 300 K; Molar mass M: 28 g mol⁻¹; Threshold speed v₀: 1000 m s⁻¹

Baseline 300; choose 200 to 1000, in steps of 20.
4. Compared with the saved baseline, this result will…

This experiment is kept only while this page is open. It does not change saved course progress.

4

Catch the common trap

First-year students draw f(v) as a bell curve centred on vᵣₘₛ, then read its height as the number of molecules with speed v. Both moves are wrong. The Gaussian in this problem belongs to each velocity component vₓ, and it is centred on zero; speed is a magnitude, and the 4πv² shell factor kills the curve at v = 0 while the Boltzmann exponential leaves a one-sided tail. The result is skewed, so the peak, the mean and the rms are three different speeds, always in the order vₚ < ⟨v⟩ < vᵣₘₛ and always in the ratio 1 : 1.128 : 1.225; for nitrogen at 300 K they are 422, 476 and 517 m s⁻¹. Nor is f(v) a count: it is a density in s m⁻¹, the number of molecules at exactly one speed is zero, and only f(v) dv, or an integral of f across a band, is a fraction of the gas.

5

Practice & worked examples

3 authored examples. Make an attempt, then reveal the reasoning one step at a time.

EasyExample 1

Carbon dioxide (M = 44.0 g mol⁻¹) fills a cylinder at 350 K. Find the most probable, mean and rms speeds of its molecules, and confirm that the rms speed agrees with √(3RT/M).

Sketch your answer or reasoning, then compare it with the authored solution. Your writing is not automatically graded or saved.

0 of 4 steps revealed.

MediumExample 2

A time-of-flight detector accepts nitrogen molecules (M = 28.0 g mol⁻¹) whose speeds lie within ±5 m s⁻¹ of 900 m s⁻¹. What fraction of the molecules in a sample at 300 K does it accept, and by what factor does that fraction change when the sample is heated to 600 K?

Sketch your answer or reasoning, then compare it with the authored solution. Your writing is not automatically graded or saved.

0 of 5 steps revealed.

HardExample 3

At the top of Earth's atmosphere the gas is at about 1000 K and the escape speed is 11.2 km s⁻¹. For atomic hydrogen (M = 1.008 g mol⁻¹) and helium (M = 4.003 g mol⁻¹), find the fraction of atoms moving faster than the escape speed at any instant and the ratio of the two fractions. Then say what happens to atomic oxygen (M = 16.00 g mol⁻¹).

Sketch your answer or reasoning, then compare it with the authored solution. Your writing is not automatically graded or saved.

0 of 5 steps revealed.

6

Quick check

Select an answer and explain it before checking.

Helium (M = 4.0 g mol⁻¹) and argon (M = 40 g mol⁻¹) share a container at 300 K. How does helium's speed distribution f(v) compare with argon's?
7

Review & continue

The Maxwell-Boltzmann speed distribution f(v) is the probability density of molecular speed in a classical gas at equilibrium: f(v) dv is the fraction of molecules whose speeds lie between v and v + dv, and the density integrates to 1 over all speeds.

  • Explain the relationship without looking at the equation.
  • Check a sign, a unit and a model assumption in your working.
  • Return to the lab or worked example if a step is still unclear.

Optional supporting lessons

These chapter resources can help with earlier ideas; they are not additional required Physics III completion tasks.

Extra challenging questions

Connect several ideas, explore supplied data, and compare your reasoning with a worked solution.