2.4.13 · D5Thermodynamics & Statistical Mechanics (Advanced)
Question bank — Maxwell-Boltzmann distribution — full derivation
True or false — justify
The single-component distribution is peaked at .
True. has no -prefactor, so it is a pure Gaussian whose maximum sits at — the most likely value of any one component is zero motion along that axis.
The speed distribution is also peaked at .
False. carries the extra factor , which vanishes at ; the peak is pushed out to the most probable speed . Zero speed means a shell of zero radius, which holds no velocity vectors.
Doubling the temperature doubles the most probable speed.
False. , so doubling multiplies by , not by . Speed scales with the square root of temperature.
At the same temperature, a heavier gas has a lower, more spread-out speed curve.
False. Heavier means smaller , so the curve shifts left and becomes narrower and taller (it is squeezed toward low speeds, not spread out). Lighter gases are the broad, fast ones.
The three speeds satisfy at every temperature.
True. Their ratio is fixed and independent of and ; the long high-speed tail always drags the mean speed and rms speed to the right of the peak.
The area under grows as the gas is heated.
False. The area is always (it is a probability). Heating moves and reshapes the curve but never changes the total area — a taller peak forces a narrower one and vice versa.
Because , molecules are on average not moving.
False. only says leftward and rightward motion cancel by symmetry. The speed is never zero on average: the mean speed because speed cannot be negative.
is a symmetric (bell) curve like .
False. is symmetric about , but lives only on and has a long right tail — it is skewed, which is exactly why the three characteristic speeds differ.
Spot the error
"The probability a molecule has speed near is proportional to ."
Missing the geometric factor. The Boltzmann factor gives the weight of one velocity state; speed lumps together the states of that magnitude, so .
", so rms and mean speed are equal."
The rms speed is , the square root of the mean of the squares, not the mean itself. Since squaring emphasises large values, for any spread-out distribution.
"For N₂ at 300 K, use molar mass g/mol together with : ."
Units are mixed. Use per-molecule mass (in kg) with , or molar mass (in kg/mol) with the gas constant : . Never pair (a per-molecule constant) with a per-mole mass.
"To get we integrate the three Gaussians, giving ."
We do not integrate them away; we multiply the three component densities and then re-express as the shell volume . Integration comes only later, to find averages.
"Half the molecules move faster than because is the typical speed."
is the mode (peak location), not the median. Because of the right tail, the median lies above , so more than half of the molecules move faster than — the question's premise is wrong. (The mean speed sits even further right, above the median.)
"Since was chosen, the exponential decays — but would also be a valid distribution."
A negative gives , which grows without bound and cannot be normalized (its integral diverges). is forced by the requirement .
Why questions
Why must be an exponential of , and not, say, ?
Independence forces to depend only on the sum ; taking logs, must be linear in . A term would not add up into a function of that sum. See Gaussian integrals.
Why does the derivation start from velocity components rather than speed directly?
Components are statistically independent and isotropic, which lets the joint distribution factorize — a huge simplification. Speed mixes all three, so there is no factorization to exploit at the start.
Why does equipartition enter, and what exactly does it fix?
The functional form leaves one unknown, . Equipartition pins each translational degree of freedom to , giving and hence — it is what injects the temperature.
Why is the speed curve zero at the origin even though the exponential equals there?
The shell-volume factor is the killer: at the sphere of radius has no surface, so there is no "room" for velocity vectors, regardless of the Boltzmann weight. See Kinetic theory of gases.
Why do lighter molecules escape a container faster?
For the same , smaller gives larger mean speed , and effusion rate scales with mean speed — this is the root of Graham's law.
Why is the MB distribution a classical result, valid only when quantum effects are weak?
It assumes each velocity state carries the Boltzmann weight with no occupation limit. When particles crowd into states, quantum statistics take over — see Maxwell-Boltzmann vs Fermi-Dirac vs Bose-Einstein and Boltzmann factor and partition function.
Why does the ratio not depend on which gas you pick?
Both speeds carry the same factor, which cancels in the ratio, leaving the pure number . The shape of MB is universal; only its horizontal scale depends on and .
Edge cases
What is in the limit ?
The curve collapses toward : and the distribution becomes an infinitely narrow spike at zero speed — all molecules frozen, consistent with vanishing thermal energy.
What happens to as ?
The peak runs off to arbitrarily high speed and the curve flattens and broadens indefinitely; every finite speed becomes vanishingly probable as probability spreads to infinity.
Is there any finite speed with exactly zero probability besides ?
No. For every both and , so everywhere on — there is always a nonzero chance of any positive speed, however large.
What is the probability of finding a molecule with exactly ?
Exactly zero, like any single point of a continuous distribution. Only ranges have nonzero probability: is a fraction over an interval, not at a point.
What does the two-dimensional version look like (a gas confined to a plane)?
The shell becomes a ring of circumference , so the geometric factor is not , giving . The peak and characteristic speeds shift because the dimension of the "room" factor changed.
If a hidden field made one axis special (broke isotropy), would the derivation survive?
No — the factorization into three identical Gaussians relied on isotropy. With a preferred axis, would differ from and the clean shell (which assumed direction-independence) would no longer apply.
Recall One-line self-test before you leave
Say why but is maximal, in one breath. Because is one component (Gaussian, peaks at ) while counts a spherical shell whose volume vanishes at zero radius. ✓