In the setting of The N-Particle Dyson Game and its Mean-Field Limit: Standing Data and Equations, with N0, e∗, wN,τ, wN,τ, uˉτ and uτ as in Half-Relaxed Limits of the Sup- and Inf-Convolved N-Particle Dyson Solutions: Bounds, Continuity and Limits along Configurations of Bounded Energy. For N≥2, the set DN, the relative free energy EN, the set DNΣ and the relative score ΣN are those of The Relative Free Energy and the Relative Score of a Probability Measure for a Potential on an Open Set read at the configuration level with D=WN, U=PN and a=aN. Fix e0∈R with e0≤E(ν) for every ν∈D (Basic Properties of a Wasserstein-Coercive Penalty Pair §bounded-below, the pair being Wasserstein-coercive by The Confined Logarithmic-Energy Pair is a Displacement Convex, Wasserstein-Coercive Penalty Pair with Closed Score and Regular Penalised Maxima §coercive). Optimal maps from μ^ to ν∈P2(R) are those of that definition; the class of such a map T lies in L2(μ^;R) and ∥T−id∥μ^=W2(ν,μ^) (Step 1 of the proof).
Data. Let τ,δ∈R with 0<τ and 0<δ<1, let μ^∈D (an atomless measure, by The Logarithmic Energy of a Probability Measure on the Real Line §energy), let q∈L2(μ^;R), let η′,r0,K∈R with 0≤η′, 0<r0, 1≤K and
Kr02≥2(2λ−1bg+∣e0∣+∣E(μ^)∣+∥q∥μ^2).
For N≥N0 let χN+,χN−:RN→R be the block test functions of μ^ at level N with data (q,K) and (q,−K) respectively.
1. (Subsolution side)¶ Assume that for every ν∈D with W2(ν,μ^)<r0 and every optimal map T from μ^ to ν
uˉτ(ν)−δE(ν)≤uˉτ(μ^)−δE(μ^)+⟨q,T−id⟩μ^+η′W2(ν,μ^),
and let (Nk)k be a sequence of realising levels for uˉτ at μ^. For each k put N=Nk, let fk=δ−1(wN,τ−NχN+) on WN, and let πk=πfk be the Gibbs measure of Gibbs Maximisers of the Relative Free Energy: the Variational Principle and the Relative Score §gibbs with D=WN, U=PN, a=aN and f=fk, whose hypotheses hold (Step 1 of the proof); thus, by Gibbs Maximisers of the Relative Free Energy: the Variational Principle and the Relative Score §variational, πk maximises P↦∫(wN,τ−NχN+)dP−δEN(P) over the P∈DN for which the integrand is P-integrable. Then:
(a)¶ (a consequence of Gibbs Maximisers of the Relative Free Energy: the Variational Principle and the Relative Score §score) πk∈DNΣ and, for every gradient map ∇wN,τ of wN,τ, ∇wN,τ=N∇χN++δΣN(πk) in L2(πk;RN);
(b)¶ there is k0 such that for every k≥k0
∫NPNdπk≤E1=δ−1(2λ−1bg+∣e∗∣+∣E(μ^)∣+∥q∥μ^2+2),
N1∥ΣN(πk)∥πk2≤δ22(2∥q∥μ^2+8K2∫W2(μxN,μ^)2πk(dx)+τ4(λ−1bg+E1+∣e∗∣));
(c)¶ for every positive ε∈R there is k0 with K∫W2(μxN,μ^)2πk(dx)≤K2η′2+ε for every k≥k0.
2. (Supersolution side)¶ Assume that for every ν∈D with W2(ν,μ^)<r0 and every optimal map T from μ^ to ν
uτ(ν)+δE(ν)≥uτ(μ^)+δE(μ^)+⟨q,T−id⟩μ^−η′W2(ν,μ^),
let (Nk)k be a sequence of realising levels for uτ at μ^, and let πk be as in clause 1 with fk=δ−1(NχN−−wN,τ); thus πk minimises P↦∫(wN,τ−NχN−)dP+δEN(P) over the same class. Then (a) holds with ∇wN,τ=N∇χN−−δΣN(πk) for every gradient map of wN,τ, and (b) and (c) hold as stated.