2.4.13 · D1Thermodynamics & Statistical Mechanics (Advanced)

Foundations — Maxwell-Boltzmann distribution — full derivation

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This page assumes nothing. Before you touch the full derivation, every letter, squiggle, and picture it uses is built here from the ground up, in an order where each idea leans on the one before it.


1. Speed and velocity — the difference matters

Picture a molecule shooting across a room. Its shadow on the floor moving east-west is , its shadow moving north-south is , and how fast it climbs is .

Figure — Maxwell-Boltzmann distribution — full derivation

Why the square root of a sum of squares? Because that is just the 3D version of the ruler-distance formula: the length of the diagonal of a box with sides . Look at figure s01 — the red arrow's length is exactly this diagonal.


2. Temperature , the constant , and mass

Before we can build the energy-cost factor, we need the three physical quantities it is made from.

The combination appears everywhere: it is the natural energy scale of the gas — roughly "how much kinetic energy one degree of freedom carries." That's the message of the Equipartition theorem.


3. The exponential — a "decay" machine

Why this exact curve and not, say, a straight line down? Because has a magical property: it turns a sum in the exponent into a product of separate factors. That is, : add inside, and the result splits into a multiplication of two independent pieces. (Equivalently, its inverse — the logarithm — turns products back into sums.) Hold onto this: it is exactly why the derivation can split three axes bundled together in one exponent into three independent factors, one per axis.

Figure — Maxwell-Boltzmann distribution — full derivation

You'll meet this factor properly in Boltzmann factor and partition function — for now just read it as "big energy ⇒ small probability."


4. Probability density — why the little is there

Picture a histogram of speeds. As you make the bars infinitely thin, the tops trace a smooth curve . The area of each thin bar (height × width ) is the fraction of molecules in that bar.

Figure — Maxwell-Boltzmann distribution — full derivation

Read as a stretched-out "S" for Sum. It is the tool for adding infinitely many infinitely thin pieces — exactly what a continuous distribution demands.


5. The Gaussian and the geometric shell — the two heroes

Figure — Maxwell-Boltzmann distribution — full derivation

6. How these feed the topic

velocity components vx vy vz

speed v via Pythagoras

Gaussian per component g of vx

exponential e to the minus x

Boltzmann factor

sum in exponent splits into product

temperature T and kB and mass m

Gaussian integral fixes A

energy-cost factor

spherical shell 4 pi v squared

geometric room factor

joint velocity density

probability density f of v and integral

Maxwell-Boltzmann f of v

Notice the shape: independent components each get a Gaussian, the Gaussian integral and normalization nail down the constants, the shell factor converts components into speed, and the Boltzmann factor supplies the energy cost. Multiply — done.


Equipment checklist

Test yourself: cover the right side and answer before revealing.

What does the little arrow in signify?
That is directional (a vector), not just a plain number.
How do you get speed from components?
— the 3D Pythagoras / diagonal length.
What is the value and role of ?
J/K; it converts temperature into energy so has energy units.
Why can't we ask for the probability of an exact speed?
Speed is continuous, so any single value has probability zero; we use bands instead.
What is the difference between and ?
is probability per unit speed (a density); is the actual fraction in the sliver .
What does represent?
The probability density of one velocity component; is the fraction of molecules with -component in .
What does mean physically?
Every molecule has some speed, so all fractions add to 100%.
What key property of the exponential does the derivation use?
— a sum in the exponent splits into a product of separate factors (one per axis).
What are and in ?
(width in the exponent); (height, fixed by normalization).
How is pinned down?
By the Gaussian integral plus area = 1, giving .
What is the full prefactor of and where does it come from?
— it is , three copies of the single-axis normalization constant.
Where does come from?
The surface area of the sphere of velocity vectors all having length .
Why is even though ?
The shell factor vanishes at — a zero-radius sphere has no surface.
What is the Gaussian integral result?
.
or molar mass — which pairs with ?
Per-molecule mass pairs with ; molar mass pairs with . Never mix.

Ready? Then head to the full derivation. Related tools live in Kinetic theory of gases, Effusion and Graham's law, and the comparison Maxwell-Boltzmann vs Fermi-Dirac vs Bose-Einstein.