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TheoremStatement: AI-adaptedProof: AI-generatedPipeline-generatedprecheck passverified 2026-10-22 (gpt-6.1-sol)
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Equilibrium action time-reversal identity

Statement

Let d≥1, T>0, and 0<ε<1/2. Let ρ:[0,T]×Td→[ε,1−ε] be a scalar field and j:[0,T]×Td→Rd a vector field, both smooth up to the time endpoints and periodic in space. Assume ∂tρ+∇⋅j=0. Set f(u):=ulog⁡u+(1−u)log⁡(1−u) for 0<u<1, and define the reversed paths by ρθ(t,x):=ρ(T−t,x) and jθ(t,x):=−j(T−t,x). Then

I[0,T](ρ,j)−I[0,T](ρθ,jθ)=∫Tdf(ρ(T,x)) dx−∫Tdf(ρ(0,x)) dx.

Here I is the normalized SSEP action with χ(u)=u(1−u).

Facts & Assumptions

Given: The smooth periodic fields, strict interior bound, continuity equation, and reversed-path definitions in the Statement.

[A1]

The paths are smooth up to t=0,T, periodic on Td, and satisfy ε≤ρ≤1−ε and ∂tρ+∇⋅j=0.

[F1]

Normalized SSEP macroscopic fluctuation action: χ(u)=u(1−u) and I[0,T] is one quarter of the integral of ∣j+∇ρ∣2/χ(ρ) for these admissible paths.

[F2]

The natural logarithm as the inverse of the exponential function: for x>0, log⁡x is the unique real y with exp⁡(y)=x.

[F3]

The natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t: for every x>0, log⁡ is differentiable and log⁡′(x)=1/x.

[F4]

The chain rule, in one line from Carathéodory: if g is differentiable at c and f is differentiable at g(c), then f∘g is differentiable at c with (f∘g)′(c)=f′(g(c)) g′(c): for differentiable real functions whose stated domain and limit-point hypotheses hold, the derivative of a composition is (f∘g)′(c)=f′(g(c))g′(c).

Proof

1.1F2F3F4algebra

For 0<u<1 and sufficiently small nonzero h, the first product quotient is (u+h)log⁡(u+h)−ulog⁡uh=ulog⁡(u+h)−log⁡uh+log⁡(u+h), which tends to 1+log⁡u by [F3]. With v=1−u, the second quotient is (v−h)log⁡(v−h)−vlog⁡vh=vlog⁡(v−h)−log⁡vh−log⁡(v−h), which tends to −1−log⁡v by the same derivative formula. Thus f′(u)=log⁡u−log⁡(1−u). By [F4] applied to log⁡ composed with u↦1−u, the derivative of log⁡(1−u) is −1/(1−u); [F3] gives the derivative of log⁡u as 1/u. Hence f′′(u)=1/u+1/(1−u)=1/[u(1−u)].

1.2A1construct

The reversed fields remain smooth, periodic, and in the same density range. Also ∂tρθ+∇⋅jθ=−(∂tρ+∇⋅j)(T−t,x)=0, so they are admissible for the same action.

2.1A1F1F4step 1.1step 1.2algebra

By the reversed-path definitions, I[0,T](ρθ,jθ)=14∫0T∫Td∣−j(T−t,x)+∇ρ(T−t,x)∣2χ(ρ(T−t,x)) dx dt. Substitute s=T−t: dt=−ds and the limits t=0,T become s=T,0, so this equals 14∫0T∫Td∣−j(s,x)+∇ρ(s,x)∣2χ(ρ(s,x)) dx ds. After renaming s to t, subtract this expression from the forward action. At the common point (t,x), the resulting integrand is ∣j+∇ρ∣2−∣−j+∇ρ∣24χ(ρ)=j⋅∇ρχ(ρ)=∇f′(ρ)⋅j, by quadratic expansion and the coordinatewise chain rule with f′′(ρ)=1/χ(ρ). All integrands are continuous on the compact cylinder since χ(ρ)≥ε(1−ε)>0.

2.2A1F4step 1.1algebra

For each coordinate i, the integral of ∂i(f′(ρ)ji) over [0,1]d is zero because its endpoint values in the ith coordinate agree by periodicity. Summing gives ∫Td∇f′(ρ)⋅j dx=−∫Tdf′(ρ)∇⋅j dx=∫Tdf′(ρ)∂tρ dx. By [F4] this last integrand is the time derivative of f(ρ); it is continuous on the compact cylinder, so the fundamental theorem of calculus makes its time difference quotients converge uniformly in space and justifies differentiating the spatial integral. Hence the expression is ddt∫Tdf(ρ(t,x)) dx.

3.1step 2.1step 2.2algebra∎

Integrating the identity from step 2.2 over t∈[0,T] and using the integrand difference from step 2.1 gives the stated endpoint formula.

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