Worked examples — Kinetic theory — pressure derivation, temperature as mean KE
Everything here rests on three boxed facts from the parent, restated in plain words so nothing is assumed:
See the Ideal Gas Law PV=nRT for the macroscopic law we keep comparing against, and the Maxwell-Boltzmann Speed Distribution for where , and the most-probable speed part ways.
The scenario matrix
Each cell below is a class of question. The "Example" column tells you which worked example proves you can handle it.
| Cell | What's special about it | Example |
|---|---|---|
| A. T → speed | Given temperature, find | Ex 1 |
| B. speed → T | Given a speed, find temperature | Ex 2 |
| C. micro → P | Given , find pressure | Ex 3 |
| D. Two gases, same T | Compare speeds/KE across masses | Ex 4 |
| E. Ratio / scaling | or changes by a factor — no numbers plugged | Ex 5 |
| F. Degenerate | Limiting/zero input, what breaks | Ex 6 |
| G. Real-world word problem | Tyre / balloon style, translate then solve | Ex 7 |
| H. Exam twist | vs trap, or heavier≠higher-P | Ex 8 |
Figure of the whole landscape first, so you can see how the cells relate:

Example 1 — Cell A: temperature to speed
Step 1. Pick the molar form . Why this step? We were handed (per mole), not (per molecule). Using the form that already contains saves a division by .
Step 2. Plug in:
Step 3. Take the root: Why this step? The square root undoes the "mean-square"; it returns us to something with units of speed.
Verify: Slightly below nitrogen's because oxygen is heavier ( vs ), and so the ratio should be , giving . ✓ Units: . ✓
Example 2 — Cell B: speed back to temperature
Step 1. Start from and solve for : Why this step? We invert the mean-KE relation because we know the speed and want temperature — the exact reverse of Example 1.
Step 2. Plug numbers ():
Step 3. Compute top and bottom:
Verify: About room temperature — consistent with helium at . Reverse-check: at , . ✓
Example 3 — Cell C: microscopic numbers to pressure
Step 1. Use (since ). Why this step? This is the direct microscopic pressure formula — every quantity in it is given.
Step 2. Numerator pieces: , and .
Step 3. Combine:
Verify: Units: . ✓ (, so — reasonable for a dense box.)
Example 4 — Cell D: two gases at one temperature
Step 1 (a). depends only on , not on mass: Why this step? This is the deep content of "temperature = mean KE" — at a shared , every species carries the identical average translational energy (see Boltzmann Constant and Equipartition).
Step 2 (b). Equal KE but different mass forces different speed. Since is equal: Why this step? Fixing energy and letting mass vary makes speed scale as ; the lighter gas is faster.
Verify: Hydrogen is lighter → faster, energies equal. Cross-check energy: vs : . ✓
Example 5 — Cell E: scaling with no numbers plugged
Step 1 (a) pressure. At fixed : . So (factor ). Why this step? Rigid box = constant ; sealed = constant . Only moves, and tracks it linearly.
Step 2 (b) rms speed. . So (factor ). Why this step? Speed lives under a square root of , so a in is only a in speed.
Step 3 (c) mean KE. . So (factor ).
Verify: Consistency: KE , and indeed . ✓ Pressure and energy scale like (factor 4); speed like (factor 2). No number ever entered — pure scaling.
Example 6 — Cell F: the degenerate limit
Step 1. As : , and , and . Why this step? Every quantity carries a factor of (directly, or under a root), so all vanish together at absolute zero.
Step 2. Sanity of the limit: zero speed means molecules frozen still, zero pressure means no wall hits — internally consistent (see Internal Energy of Ideal Gas).
Step 3. Where it breaks: the ideal model assumes point particles with only translational motion and no quantum effects. Real gases liquefy/solidify before , and quantum "zero-point" motion forbids a molecule from being truly at rest. Why this step? A good scientist states the domain of validity: this is a degenerate input where the formula still returns a clean , but the physics has left ideal-gas territory.
Verify: At exactly , plugging in gives literally , , — a self-consistent (if unphysical) prediction. ✓
Example 7 — Cell G: a real-world word problem
Step 1. Translate the words. "Rigid, no leaks" and constant. So collapses to , i.e. . Why this step? Identifying what stays fixed turns a paragraph into a proportionality — the microscopic reason: hotter molecules hit the wall harder and more often, and is constant.
Step 2. Solve for :
Step 3. Compute:
Verify: Rise of ; pressure rose (rounding). ✓ This is exactly why tyre pressure should be checked cold.
Example 8 — Cell H: the exam trap ( vs , and heavier ≠ more pressure)
Step 1 (a). Ordinary average — add and divide: Why this step? is the plain arithmetic mean — useful for things like average flight distance, not pressure.
Step 2 (b). rms — square, average, root: Why this step? Pressure came from momentum-transfer , so the mean of the squares is the physically relevant average.
Step 3 (c). Use in . And always, because squaring gives extra weight to the fast molecules; equality only if every molecule has identical speed. Why this step? This is the classic trap the parent note warned about — the two "averages" are different tools for different jobs. Bonus trap: at equal a heavier gas is slower by exactly enough that pressure is unchanged, since has no mass in the final .
Verify: , as required. ✓ Gap arises because the spread of speeds is nonzero.
Active recall
Recall Cover the answers and self-test
Which speed goes into the pressure formula, or ? ::: , because pressure comes from (mean of squares), not the mean of speeds. At the same temperature, which is bigger for two gases — the mean KE or is it equal? ::: Equal; depends only on . If quadruples at fixed , what happens to and to ? ::: (linear in ); (square root of ). At constant , what is the constant ratio? ::: is constant. Why does at signal a model limit, not a fact? ::: Real gases condense and quantum zero-point motion forbids true rest; the ideal formula still returns but the physics no longer applies.
Return to the parent topic · related: Degrees of Freedom and Molar Heat Capacity, Pressure as Force per Area, Elastic Collisions and Momentum.