2.4.14 · D1Thermodynamics & Statistical Mechanics (Advanced)

Foundations — Equipartition theorem — ½k_BT per quadratic degree of freedom

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This page assumes you have seen nothing. We build each symbol from a picture, in an order where each one only uses the ones before it. When you finish, the parent Equipartition derivation will read like plain sentences.


1. The picture behind everything: a coordinate

Look at Figure 1. A ball on a spring can be pushed left or right; the arrow labelled measures how far it is from the resting spot. If we instead tracked how fast it moves, that speed would be another coordinate. One arrow = one coordinate.

Figure — Equipartition theorem — ½k_BT per quadratic degree of freedom

Why the topic needs it: equipartition is a statement about "each independent way of storing energy". Each such way is one coordinate . Before we can count them, we must be able to point at one.


2. Energy , and what "quadratic" means

Now the key shape. When you stretch a spring by , the stored energy is not proportional to — it grows like squared.

Look at Figure 2. The energy-vs- curve is a valley (a parabola): flat at the bottom, steep on the sides. Double the stretch and you quadruple the energy, because . That U-shape is the visual signature of "quadratic".

Figure — Equipartition theorem — ½k_BT per quadratic degree of freedom

Why the topic needs it: the whole result only works for the shape. If the energy were or , the answer changes. So "quadratic" is the entry ticket.


3. The constant — stiffness or mass

A big means a narrow, steep valley (hard to stretch); a small means a wide, gentle valley (easy to stretch). Figure 2 draws both.

Why the topic needs it: the punchline of equipartition is that cancels out of the final energy. You cannot appreciate that surprise until you know is the mass/stiffness you'd expect to matter.


4. Temperature and Boltzmann's constant

Why the topic needs it: is the entire answer. is the input, converts it to energy.


5. Probability, and the Boltzmann weight

Random jiggling doesn't visit all configurations equally — low-energy ones are far more common. How much more? This is the single most important formula feeding equipartition.

Look at Figure 3. As energy climbs, this weight falls off a cliff. The width of the cliff is set by : a warmer system (bigger ) tolerates higher-energy configurations, so its curve falls more gently.

Figure — Equipartition theorem — ½k_BT per quadratic degree of freedom

Why the topic needs it: every average in the derivation weights each value of by this factor. It is the "how likely" ingredient.


6. Averaging: and the integral

We keep saying "average energy". Here is what the brackets mean.

Putting the last three sections together, the average energy in one quadratic slot is Read it in plain words: top = "sum of (energy × its Boltzmann weight)"; bottom = "sum of the weights" (this normalises, so the total probability is 1). The ratio is exactly the weighted average defined above.

Why the topic needs it: this ratio is the theorem's left-hand side. Everything before this section existed to let us write this one line honestly.


7. The Gaussian (bell curve)

The Boltzmann weight of a quadratic energy, , is a Gaussian with . So the two integrals above are just bell-curve areas — that is why the messy-looking average has a clean answer.


8. , the partition function , and the derivative trick

Two last shorthands the parent uses.


How the foundations feed the theorem

Coordinate q

Quadratic energy alpha q squared

Constant alpha stiffness or mass

Temperature T

Thermal energy k_B T

Boltzmann constant k_B

Exponential e to the x

Boltzmann weight

Weighted average with integral

Integral as area

Gaussian bell area

Partition function Z

Inverse temperature beta

Log derivative trick

Half k_B T per quadratic slot


Equipment checklist

Test yourself — reveal only after answering out loud.

What does the symbol stand for, in a picture?
One arrow measuring a single way a thing can be positioned or can move — one coordinate.
What shape does a "quadratic" energy make on a graph?
A symmetric U-shaped valley (parabola): double , quadruple .
What is physically, and what does a large look like?
The stiffness/mass coefficient; large = a steep, narrow valley (hard to stretch).
What single energy does the bundle represent?
One typical "gulp" of thermal energy at temperature ; converts kelvin into joules.
Why is the probability weight an exponential and not something linear?
Only the exponential turns adding energies into multiplying probabilities, which independent systems require.
What does mean and how is it computed here?
The probability-weighted mean of : sum of ( × weight) divided by sum of weights.
What does the integral picture as?
The area under the curve , a smooth total over every possible .
What is the area ?
— the Gaussian bell-curve area.
What is , and what is ?
(inverse temperature); is the normalising "total weight" integral, the partition function.
Why do we differentiate with respect to ?
Because pulls down exactly the factor, turning the average into .

When every line above is a reflex, go read the parent Equipartition derivation — it will read like a story.