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Finite canonical partition, energy, variance, entropy and free-energy identities

Physical scope

Exact finite-sum predictions for the adopted canonical law on a fixed finite microstate list with fixed internal energies; the statistical free-energy value is not automatically identified with a macroscopic Legendre potential or an empirical thermodynamic measurement.

Statement

Let (Ω,ϵ) be a finite microstate model with energies Ex=ϵ(x) J from Finite statistical microstate model. Let T>0, β=(kBT)−1, and Pβ(x)=e−βEx/Z(β) be the adopted preparation of Canonical sampling assumption for finite and normalized statistical models. With Eˉβ=∑xPβ(x)Ex, Var⁡β(E)=∑xPβ(x)(Ex−Eˉβ)2, and Sβ=−kB∑xPβ(x)log⁡Pβ(x), the finite partition sum is positive and −∂βlog⁡Z=Eˉβ,∂β2log⁡Z=Var⁡β(E),Sβ=kB(log⁡Z+βEˉβ). Consequently the statistical free-energy value Fstat:=−kBTlog⁡Z satisfies Fstat=Eˉβ−TSβ. The derivatives hold the finite state set and its energy list fixed. No equivalence with a macroscopic entropy or Helmholtz potential is asserted.

Facts & Assumptions

Given: A finite nonempty state set, a fixed energy list in joules, T>0, the fixed SI value of kB, and the adopted canonical weights.

[F1]

Finite statistical microstate model: Ω is finite and nonempty and each Ex is a fixed energy in joules.

[F2]

Canonical sampling assumption for finite and normalized statistical models: Pβ(x)=e−βEx/Z with Z=∑xe−βEx and β=1/(kBT)>0 in J−1.

[F3]

The exponential function is smooth and (exp⁡)′=exp⁡: ddβe−βEx=−Exe−βEx for each fixed Ex.

Proof

Given: The finite canonical model and its fixed energy values.

1.1F1F2algebra

Since Ω is finite and nonempty and every e−βEx>0, the finite sum Z=∑xe−βEx is strictly positive and finite. The weights Pβ(x) therefore sum to one by their definition.

2.1F2F3F4step 1.1

Differentiating the finite sum term by term using [F3] gives Z′=−∑xExe−βEx and Z′′=∑xEx2e−βEx. Applying [F4] yields −∂βlog⁡Z=−(Z′/Z)=Eˉβ and ∂β2log⁡Z=Z′′/Z−(Z′/Z)2=∑xPβ(x)Ex2−Eˉβ2=Var⁡β(E).

3.1F2step 1.1algebra∎

For each x, log⁡Pβ(x)=−βEx−log⁡Z. Substituting this into the finite entropy sum gives Sβ=−kB∑xPβ(x)log⁡Pβ(x)=kB(βEˉβ+log⁡Z). Since βkB=1/T, rearrangement gives Eˉβ−TSβ=−kBTlog⁡Z=Fstat.

Depends on

Dependency tree · 2 levels

Sources