Annus Mirabilis · Interactive critical edition in preparation

Counting configurations and osmotic pressure

Compare independently placed particles with one locked cluster.

Statistical mechanics derivation

The configuration integral laboratory

Static worked example

Predict before the numbers

Doubling the volume available to two independent particles multiplies the number of position arrangements by 2, 4, or 8?

Three relations the model could have

The result appears when you choose, say you have one in mind, or skip.

Presets and parameters
Particle placement model
Notation
Experiment settings particle count, volume ratio, reference volume, temperature

Whole integer Np ≥ 1, positive volume ratio V/V₀, reference volume V₀ and temperature T.

Worked example: 2 independent particles in a volume 2 times larger have 4 times as many position arrangements, and the free energy changes by −5.61 × 10⁻²¹ J.

Step 1: one particle in the accessible volume V*

Its possible positions are proportional to the room it has.

V* = 2 × V₀

Integral over (x₁, y₁, z₁)

B₁ = ∫ dx₁ dy₁ dz₁ = V*

Factor ratio: 2

Step 1 of 4

One accepted calculation, in explicit units
Particle count2
Volume expansion ratio V/V₀2
Position arrangement factor4
Free-energy difference ΔF−5.61085 × 10−21 J
Ideal pressure p4.0473725 × 10−9 Pa
Locked-cluster pressure2.0236863 × 10−9 Pa
Volume-independent factor Jsymbolic (cancels in derivative)
Momentum integralssymbolic (cancels in derivative)
Free-energy offset F₀symbolic (cancels in derivative)

Counting where independent particles can be, not how they move, gives the pressure they exert. Twice the room gives each particle twice the places to be, and two particles four times the arrangements.

§2 derives osmotic pressure from the molecular-kinetic theory without any picture of how the particles move. The free energy is F = −(RT/N) lg B, where B is an integral over every possible state of the system. For n particles held in a volume V* by a semipermeable wall, moving independently in a homogeneous liquid with no forces on them, §2 shows that the integral splits into a factor J that depends neither on where the particles are nor on V*, times one factor of V* for each particle: B = J V*n. Then F = −(RT/N){lg J + n lg V*}, and the pressure is p = −∂F/∂V* = (RT/N)(n/V*), in modern symbols NpkBT/V. So suspended bodies and dissolved molecules of equal number exert the same osmotic pressure at high dilution. The lab's default is two particles in 2 × 10−12 m³, twice the starting volume, at 293.15 K: the free energy falls by 5.61 × 10−21 J, and the pressure is 4.05 × 10−9 Pa. With 100 particles it is 2.02 × 10−7 Pa, fifty times as much. Lock the two particles into one rigid cluster and they have only one placement to make: the free energy falls by half as much, 2.81 × 10−21 J, and the pressure is 2.02 × 10−9 Pa, that of a single particle.

What this model assumes

• Independence of particle positions (the §2 premise).

• Dilution (no excluded volume interactions).

• Uniform potential inside the accessible volume.

• Thermal equilibrium.

• The volume-independent factor J does not depend on volume V.

Not modeled: interactions between particles; excluded volume effects; external potential fields; non-ideal solutions; quantum statistics; momentum integrals beyond their cancellation in the derivative; molecular dynamics or collision trajectories; cluster formation or breakup kinetics.

Show the calculation owner and source identity

Configuration volume term, factor ratio and locked cluster pressure are computed by src/physics/reference/diffusion/routeA.ts.

Live terms bind particleCount, volume, temperature, and freeEnergy.

The explanation

Full explanation

Hold the temperature and volume fixed while changing what counts as an independently placed unit. The counterexample changes the independence assumption, not merely the drawing.

Show every step of the investigation

Follow one particle, two particles, the logarithm for many particles, and finally the volume derivative. Inspect the named assumptions before interpreting the pressure.

An explanatory model, not an observation of nature. This embed starts from the laboratory’s worked defaults, not a saved run. Presentation options change the surrounding guide, never the numerical inputs.