Each result cited below is universally quantified over the data in its own statement.
We write P \mathcal{P} P , P a c \mathcal{P}^{\mathrm{ac}} P ac , P E n t \mathcal{P}^{\mathrm{Ent}} P Ent and P I \mathcal{P}^{\mathcal{I}} P I for P ( T d ) \mathcal{P}(\mathbb{T}^{d}) P ( T d ) , P a c ( T d ) \mathcal{P}^{\mathrm{ac}}(\mathbb{T}^{d}) P ac ( T d ) , P E n t ( T d ) \mathcal{P}^{\mathrm{Ent}}(\mathbb{T}^{d}) P Ent ( T d ) and P I ( T d ) \mathcal{P}^{\mathcal{I}}(\mathbb{T}^{d}) P I ( T d ) , and W W W for W T W_{\mathbb{T}} W T . For ν ∈ P \nu\in\mathcal{P} ν ∈ P let Φ ν ( μ ) = 1 2 W ( μ , ν ) 2 \Phi_{\nu}(\mu)=\tfrac12W(\mu,\nu)^{2} Φ ν ( μ ) = 2 1 W ( μ , ν ) 2 .
Step 0 (Facts used repeatedly). (F1) W W W is a metric on P \mathcal{P} P by The Torus Wasserstein Space is a Sequentially Compact Metric Space in which Optimal Couplings Exist §metric : it is symmetric, satisfies the triangle inequality, W ( μ , μ ) = 0 W(\mu,\mu)=0 W ( μ , μ ) = 0 , and W ( μ , ν ) > 0 W(\mu,\nu)>0 W ( μ , ν ) > 0 for μ ≠ ν \mu\ne\nu μ = ν . (F2) For all μ , ν ∈ P \mu,\nu\in\mathcal{P} μ , ν ∈ P one has W ( μ , ν ) 2 ≤ d / 4 W(\mu,\nu)^{2}\le d/4 W ( μ , ν ) 2 ≤ d /4 , because every torus cost lies in [ 0 , d / 4 ] [0,d/4] [ 0 , d /4 ] by Probability Measures on the Flat Torus, the Torus Cost of a Coupling, the Torus Wasserstein Distance and Optimal Couplings §cost and W ( μ , ν ) 2 W(\mu,\nu)^{2} W ( μ , ν ) 2 is the infimum of such costs by Probability Measures on the Flat Torus, the Torus Cost of a Coupling, the Torus Wasserstein Distance and Optimal Couplings §distance . (F3) Let μ ∈ P a c \mu\in\mathcal{P}^{\mathrm{ac}} μ ∈ P ac , ν ∈ P \nu\in\mathcal{P} ν ∈ P , and let T T T be an optimal map from μ \mu μ to ν \nu ν , which exists by McCann's Theorem on the Flat Torus: Optimal Couplings out of an Absolutely Continuous Measure are Induced by a Unique Map with a Periodic Potential §map . Then Φ ν \Phi_{\nu} Φ ν is an intrinsic test function on P a c \mathcal{P}^{\mathrm{ac}} P ac with ∇ Φ ν ( μ ) = − v T \nabla\Phi_{\nu}(\mu)=-v_{T} ∇ Φ ν ( μ ) = − v T by Half the Squared Torus Wasserstein Distance to a Fixed Measure is an Intrinsic Test Function on the Absolutely Continuous Measures §test , and W ( μ , ν ) 2 = 2 Φ ν ( μ ) = ∥ v T ∥ μ 2 W(\mu,\nu)^{2}=2\Phi_{\nu}(\mu)=\lVert v_{T}\rVert_{\mu}^{2} W ( μ , ν ) 2 = 2 Φ ν ( μ ) = ∥ v T ∥ μ 2 by Half the Squared Torus Wasserstein Distance to a Fixed Measure: the One-Sided Bound Along Couplings, Differentiability at an Absolutely Continuous Source, and the Tangent Gradient §upper ; hence ∥ v T ∥ μ = W ( μ , ν ) ≤ d / 2 \lVert v_{T}\rVert_{\mu}=W(\mu,\nu)\le\sqrt d/2 ∥ v T ∥ μ = W ( μ , ν ) ≤ d /2 by (F2). (F4) Let μ ∈ P a c \mu\in\mathcal{P}^{\mathrm{ac}} μ ∈ P ac and let T 0 T_{0} T 0 be an optimal map from μ \mu μ to μ \mu μ . By (F3) and (F1), ∥ v T 0 ∥ μ 2 = W ( μ , μ ) 2 = 0 \lVert v_{T_{0}}\rVert_{\mu}^{2}=W(\mu,\mu)^{2}=0 ∥ v T 0 ∥ μ 2 = W ( μ , μ ) 2 = 0 , so v T 0 = 0 v_{T_{0}}=0 v T 0 = 0 in L 2 ( μ ; R d ) L^{2}(\mu;\mathbb{R}^{d}) L 2 ( μ ; R d ) and ∇ Φ μ ( μ ) = 0 \nabla\Phi_{\mu}(\mu)=0 ∇ Φ μ ( μ ) = 0 . (F5) Every member of P E n t \mathcal{P}^{\mathrm{Ent}} P Ent is absolutely continuous and has nonnegative entropy, by The Entropy of Measures on the Torus: Nonnegativity, Absolute Continuity and Closed Sublevel Sets §nonnegative .
Step 1 (Contradiction hypothesis and constants). Suppose, for a contradiction, that m : = u ( μ 0 ) − v ( μ 0 ) > 0 m:=u(\mu_{0})-v(\mu_{0})>0 m := u ( μ 0 ) − v ( μ 0 ) > 0 for some μ 0 ∈ P E n t \mu_{0}\in\mathcal{P}^{\mathrm{Ent}} μ 0 ∈ P Ent ; in particular P \mathcal{P} P is nonempty. By The Torus Wasserstein Space is a Sequentially Compact Metric Space in which Optimal Couplings Exist §compact , P \mathcal{P} P is sequentially compact in ( P , W ) (\mathcal{P},W) ( P , W ) , hence compact by A Sequentially Compact Subset of a Metric Space is Compact . By claim 1 (Maximum) and claim 2 (Minimum) of Semicontinuous Functions Attain Their Extrema on a Compact Set , applied to the upper semicontinuous u u u and the lower semicontinuous v v v , the real numbers U = max P u U=\max_{\mathcal{P}}u U = max P u and V = min P v V=\min_{\mathcal{P}}v V = min P v exist. Let δ u , c u \delta_{u},c_{u} δ u , c u be the number and nondecreasing function of the subsolution property of u u u , and δ v , c v \delta_{v},c_{v} δ v , c v those of the supersolution property of v v v . Put δ 0 = min { δ u , δ v } > 0 \delta_{0}=\min\{\delta_{u},\delta_{v}\}>0 δ 0 = min { δ u , δ v } > 0 and c ( t ) = max { c u ( t ) , c v ( t ) } c(t)=\max\{c_{u}(t),c_{v}(t)\} c ( t ) = max { c u ( t ) , c v ( t )} for t ≥ 0 t\ge0 t ≥ 0 ; then c : [ 0 , ∞ ) → [ 0 , ∞ ) c:[0,\infty)\to[0,\infty) c : [ 0 , ∞ ) → [ 0 , ∞ ) is nondecreasing and c u ≤ c c_{u}\le c c u ≤ c , c v ≤ c c_{v}\le c c v ≤ c .
Step 2 (The doubled functionals). For real ε > 0 \varepsilon>0 ε > 0 and μ , ν ∈ P E n t \mu,\nu\in\mathcal{P}^{\mathrm{Ent}} μ , ν ∈ P Ent put
Ψ ε ( μ , ν ) = u ( μ ) − v ( ν ) − W ( μ , ν ) 2 2 ε . \Psi_{\varepsilon}(\mu,\nu)=u(\mu)-v(\nu)-\frac{W(\mu,\nu)^{2}}{2\varepsilon}. Ψ ε ( μ , ν ) = u ( μ ) − v ( ν ) − 2 ε W ( μ , ν ) 2 .
Then Ψ ε ≤ U − V \Psi_{\varepsilon}\le U-V Ψ ε ≤ U − V on P E n t × P E n t \mathcal{P}^{\mathrm{Ent}}\times\mathcal{P}^{\mathrm{Ent}} P Ent × P Ent , and Ψ ε ( μ 0 , μ 0 ) = m \Psi_{\varepsilon}(\mu_{0},\mu_{0})=m Ψ ε ( μ 0 , μ 0 ) = m by (F1), so N ε : = sup { Ψ ε ( μ , ν ) : μ , ν ∈ P E n t } N_{\varepsilon}:=\sup\{\Psi_{\varepsilon}(\mu,\nu):\mu,\nu\in\mathcal{P}^{\mathrm{Ent}}\} N ε := sup { Ψ ε ( μ , ν ) : μ , ν ∈ P Ent } is a real number with m ≤ N ε ≤ U − V m\le N_{\varepsilon}\le U-V m ≤ N ε ≤ U − V . If 0 < ε ≤ ε ′ 0<\varepsilon\le\varepsilon' 0 < ε ≤ ε ′ then Ψ ε ≤ Ψ ε ′ \Psi_{\varepsilon}\le\Psi_{\varepsilon'} Ψ ε ≤ Ψ ε ′ pointwise, so N ε ≤ N ε ′ N_{\varepsilon}\le N_{\varepsilon'} N ε ≤ N ε ′ . Hence the sequence ( N 2 − k ) k ∈ N (N_{2^{-k}})_{k\in\mathbb{N}} ( N 2 − k ) k ∈ N is nonincreasing and bounded below by m m m , and it converges to a real number L L L by A Bounded Monotone Sequence of Real Numbers Converges §nonincreasing .
Step 3 (Order of choices). The following are chosen in this order. (i) Put η = ρ m / 4 > 0 \eta=\rho m/4>0 η = ρ m /4 > 0 (recall ρ > 0 \rho>0 ρ > 0 by The Discounted Hamilton-Jacobi-Bellman Equation with Idiosyncratic Noise on the Torus Wasserstein Space: Standing Notation §parameters ) and let r > 0 r>0 r > 0 be given by the structure condition for this η \eta η . (ii) Put θ = 1 2 min { m / 8 , r / 24 , r 2 / 48 } > 0 \theta=\tfrac12\min\{m/8,\,r/24,\,r^{2}/48\}>0 θ = 2 1 min { m /8 , r /24 , r 2 /48 } > 0 ; then 2 θ < m / 4 2\theta<m/4 2 θ < m /4 , 12 θ < r / 2 12\theta<r/2 12 θ < r /2 and 12 θ < r / 2 \sqrt{12\theta}<r/2 12 θ < r /2 , so 12 θ + 12 θ < r 12\theta+\sqrt{12\theta}<r 12 θ + 12 θ < r . (iii) Choose K ∈ N K\in\mathbb{N} K ∈ N with ∣ N 2 − k − L ∣ < θ / 2 |N_{2^{-k}}-L|<\theta/2 ∣ N 2 − k − L ∣ < θ /2 for all k ≥ K k\ge K k ≥ K , and put ε = 2 − ( K + 1 ) \varepsilon=2^{-(K+1)} ε = 2 − ( K + 1 ) and α = 1 / ε \alpha=1/\varepsilon α = 1/ ε ; then 0 < ε ≤ 1 0<\varepsilon\le1 0 < ε ≤ 1 and N 2 ε − N ε = N 2 − K − N 2 − ( K + 1 ) < θ N_{2\varepsilon}-N_{\varepsilon}=N_{2^{-K}}-N_{2^{-(K+1)}}<\theta N 2 ε − N ε = N 2 − K − N 2 − ( K + 1 ) < θ . (iv) By the definition of the supremum choose μ ′ , ν ′ ∈ P E n t \mu',\nu'\in\mathcal{P}^{\mathrm{Ent}} μ ′ , ν ′ ∈ P Ent with Ψ ε ( μ ′ , ν ′ ) > N ε − θ \Psi_{\varepsilon}(\mu',\nu')>N_{\varepsilon}-\theta Ψ ε ( μ ′ , ν ′ ) > N ε − θ . (v) Choose a real δ \delta δ with 0 < δ ≤ δ 0 0<\delta\le\delta_{0} 0 < δ ≤ δ 0 , δ ( E n t ( μ ′ ) + E n t ( ν ′ ) ) < θ \delta\,(\mathrm{Ent}(\mu')+\mathrm{Ent}(\nu'))<\theta δ ( Ent ( μ ′ ) + Ent ( ν ′ )) < θ and 2 δ c ( d / ( 2 ε ) ) < ρ m / 4 2\delta\,c(\sqrt d/(2\varepsilon))<\rho m/4 2 δ c ( d / ( 2 ε )) < ρ m /4 ; this is possible since the quantities multiplying δ \delta δ are finite and nonnegative by (F5).
Step 4 (A maximiser of the penalised functional). For μ , ν ∈ P E n t \mu,\nu\in\mathcal{P}^{\mathrm{Ent}} μ , ν ∈ P Ent put
Γ ( μ , ν ) = Ψ ε ( μ , ν ) − δ ( E n t ( μ ) + E n t ( ν ) ) . \Gamma(\mu,\nu)=\Psi_{\varepsilon}(\mu,\nu)-\delta\,\bigl(\mathrm{Ent}(\mu)+\mathrm{Ent}(\nu)\bigr). Γ ( μ , ν ) = Ψ ε ( μ , ν ) − δ ( Ent ( μ ) + Ent ( ν ) ) .
By (F5), Γ ≤ Ψ ε ≤ U − V \Gamma\le\Psi_{\varepsilon}\le U-V Γ ≤ Ψ ε ≤ U − V , so M : = sup { Γ ( μ , ν ) : μ , ν ∈ P E n t } M:=\sup\{\Gamma(\mu,\nu):\mu,\nu\in\mathcal{P}^{\mathrm{Ent}}\} M := sup { Γ ( μ , ν ) : μ , ν ∈ P Ent } is a real number. For each n ∈ N n\in\mathbb{N} n ∈ N choose μ n , ν n ∈ P E n t \mu_{n},\nu_{n}\in\mathcal{P}^{\mathrm{Ent}} μ n , ν n ∈ P Ent with Γ ( μ n , ν n ) > M − 1 / ( n + 1 ) \Gamma(\mu_{n},\nu_{n})>M-1/(n+1) Γ ( μ n , ν n ) > M − 1/ ( n + 1 ) , and put a n = E n t ( μ n ) a_{n}=\mathrm{Ent}(\mu_{n}) a n = Ent ( μ n ) , b n = E n t ( ν n ) b_{n}=\mathrm{Ent}(\nu_{n}) b n = Ent ( ν n ) . Then δ ( a n + b n ) = Ψ ε ( μ n , ν n ) − Γ ( μ n , ν n ) < U − V − M + 1 \delta(a_{n}+b_{n})=\Psi_{\varepsilon}(\mu_{n},\nu_{n})-\Gamma(\mu_{n},\nu_{n})<U-V-M+1 δ ( a n + b n ) = Ψ ε ( μ n , ν n ) − Γ ( μ n , ν n ) < U − V − M + 1 , so with C 0 = ( U − V − M + 1 ) / δ C_{0}=(U-V-M+1)/\delta C 0 = ( U − V − M + 1 ) / δ we have 0 ≤ a n ≤ C 0 0\le a_{n}\le C_{0} 0 ≤ a n ≤ C 0 and 0 ≤ b n ≤ C 0 0\le b_{n}\le C_{0} 0 ≤ b n ≤ C 0 by (F5).
By the Bolzano-Weierstrass theorem the bounded sequence ( a n ) (a_{n}) ( a n ) has a subsequence converging to a real number a a a ; by The Torus Wasserstein Space is a Sequentially Compact Metric Space in which Optimal Couplings Exist §compact applied to the corresponding subsequence of ( μ n ) (\mu_{n}) ( μ n ) , and then again to the resulting subsequence of ( ν n ) (\nu_{n}) ( ν n ) , there are a strictly increasing sequence ( m j ) j ∈ N (m_{j})_{j\in\mathbb{N}} ( m j ) j ∈ N in N \mathbb{N} N and μ ^ , ν ^ ∈ P \hat\mu,\hat\nu\in\mathcal{P} μ ^ , ν ^ ∈ P such that ( ν m j ) (\nu_{m_{j}}) ( ν m j ) converges to ν ^ \hat\nu ν ^ and, by A Subsequence of a Convergent Sequence Has the Same Limit (and its elementary analogue for real sequences), ( μ m j ) (\mu_{m_{j}}) ( μ m j ) converges to μ ^ \hat\mu μ ^ and ( a m j ) (a_{m_{j}}) ( a m j ) converges to a a a . By The Entropy of Measures on the Torus: Nonnegativity, Absolute Continuity and Closed Sublevel Sets §closed with C = C 0 C=C_{0} C = C 0 , μ ^ , ν ^ ∈ P E n t \hat\mu,\hat\nu\in\mathcal{P}^{\mathrm{Ent}} μ ^ , ν ^ ∈ P Ent .
We show Γ ( μ ^ , ν ^ ) = M \Gamma(\hat\mu,\hat\nu)=M Γ ( μ ^ , ν ^ ) = M . Fix τ > 0 \tau>0 τ > 0 . By the definitions of upper and lower semicontinuity at μ ^ \hat\mu μ ^ and ν ^ \hat\nu ν ^ and the definition of convergence , and since ∣ W ( μ m j , ν m j ) − W ( μ ^ , ν ^ ) ∣ ≤ W ( μ m j , μ ^ ) + W ( ν m j , ν ^ ) |W(\mu_{m_{j}},\nu_{m_{j}})-W(\hat\mu,\hat\nu)|\le W(\mu_{m_{j}},\hat\mu)+W(\nu_{m_{j}},\hat\nu) ∣ W ( μ m j , ν m j ) − W ( μ ^ , ν ^ ) ∣ ≤ W ( μ m j , μ ^ ) + W ( ν m j , ν ^ ) by the triangle inequality (F1), there is J ∈ N J\in\mathbb{N} J ∈ N such that for every j ≥ J j\ge J j ≥ J : u ( μ m j ) < u ( μ ^ ) + τ u(\mu_{m_{j}})<u(\hat\mu)+\tau u ( μ m j ) < u ( μ ^ ) + τ ; v ( ν m j ) > v ( ν ^ ) − τ v(\nu_{m_{j}})>v(\hat\nu)-\tau v ( ν m j ) > v ( ν ^ ) − τ ; W ( μ m j , ν m j ) 2 / ( 2 ε ) > W ( μ ^ , ν ^ ) 2 / ( 2 ε ) − τ W(\mu_{m_{j}},\nu_{m_{j}})^{2}/(2\varepsilon)>W(\hat\mu,\hat\nu)^{2}/(2\varepsilon)-\tau W ( μ m j , ν m j ) 2 / ( 2 ε ) > W ( μ ^ , ν ^ ) 2 / ( 2 ε ) − τ ; ∣ a m j − a ∣ < τ |a_{m_{j}}-a|<\tau ∣ a m j − a ∣ < τ ; and Γ ( μ m j , ν m j ) > M − τ \Gamma(\mu_{m_{j}},\nu_{m_{j}})>M-\tau Γ ( μ m j , ν m j ) > M − τ (as m j ≥ j m_{j}\ge j m j ≥ j ). For j ≥ J j\ge J j ≥ J therefore
δ b m j = Ψ ε ( μ m j , ν m j ) − Γ ( μ m j , ν m j ) − δ a m j < Ψ ε ( μ ^ , ν ^ ) − M − δ a + ( 4 + δ ) τ , \delta\,b_{m_{j}}=\Psi_{\varepsilon}(\mu_{m_{j}},\nu_{m_{j}})-\Gamma(\mu_{m_{j}},\nu_{m_{j}})-\delta\,a_{m_{j}}<\Psi_{\varepsilon}(\hat\mu,\hat\nu)-M-\delta a+(4+\delta)\tau , δ b m j = Ψ ε ( μ m j , ν m j ) − Γ ( μ m j , ν m j ) − δ a m j < Ψ ε ( μ ^ , ν ^ ) − M − δ a + ( 4 + δ ) τ ,
and a m j < a + τ a_{m_{j}}<a+\tau a m j < a + τ . Applying The Entropy of Measures on the Torus: Nonnegativity, Absolute Continuity and Closed Sublevel Sets §closed to the sequences ( μ m J + j ) j ∈ N (\mu_{m_{J+j}})_{j\in\mathbb{N}} ( μ m J + j ) j ∈ N and ( ν m J + j ) j ∈ N (\nu_{m_{J+j}})_{j\in\mathbb{N}} ( ν m J + j ) j ∈ N , which converge to μ ^ \hat\mu μ ^ and ν ^ \hat\nu ν ^ , gives E n t ( μ ^ ) ≤ a + τ \mathrm{Ent}(\hat\mu)\le a+\tau Ent ( μ ^ ) ≤ a + τ and δ E n t ( ν ^ ) ≤ Ψ ε ( μ ^ , ν ^ ) − M − δ a + ( 4 + δ ) τ \delta\,\mathrm{Ent}(\hat\nu)\le\Psi_{\varepsilon}(\hat\mu,\hat\nu)-M-\delta a+(4+\delta)\tau δ Ent ( ν ^ ) ≤ Ψ ε ( μ ^ , ν ^ ) − M − δ a + ( 4 + δ ) τ . Hence
Γ ( μ ^ , ν ^ ) ≥ Ψ ε ( μ ^ , ν ^ ) − δ ( a + τ ) − ( Ψ ε ( μ ^ , ν ^ ) − M − δ a + ( 4 + δ ) τ ) = M − ( 4 + 2 δ ) τ . \Gamma(\hat\mu,\hat\nu)\ge\Psi_{\varepsilon}(\hat\mu,\hat\nu)-\delta(a+\tau)-\bigl(\Psi_{\varepsilon}(\hat\mu,\hat\nu)-M-\delta a+(4+\delta)\tau\bigr)=M-(4+2\delta)\tau . Γ ( μ ^ , ν ^ ) ≥ Ψ ε ( μ ^ , ν ^ ) − δ ( a + τ ) − ( Ψ ε ( μ ^ , ν ^ ) − M − δ a + ( 4 + δ ) τ ) = M − ( 4 + 2 δ ) τ .
As τ > 0 \tau>0 τ > 0 was arbitrary, Γ ( μ ^ , ν ^ ) ≥ M \Gamma(\hat\mu,\hat\nu)\ge M Γ ( μ ^ , ν ^ ) ≥ M ; the reverse inequality holds by definition of M M M . So Γ ( μ , ν ) ≤ Γ ( μ ^ , ν ^ ) \Gamma(\mu,\nu)\le\Gamma(\hat\mu,\hat\nu) Γ ( μ , ν ) ≤ Γ ( μ ^ , ν ^ ) for all μ , ν ∈ P E n t \mu,\nu\in\mathcal{P}^{\mathrm{Ent}} μ , ν ∈ P Ent .
Step 5 (Estimates at the maximiser). Write W ^ = W ( μ ^ , ν ^ ) \hat W=W(\hat\mu,\hat\nu) W ^ = W ( μ ^ , ν ^ ) . By Step 4 and choices (iv) and (v), Γ ( μ ^ , ν ^ ) ≥ Γ ( μ ′ , ν ′ ) = Ψ ε ( μ ′ , ν ′ ) − δ ( E n t ( μ ′ ) + E n t ( ν ′ ) ) > N ε − 2 θ \Gamma(\hat\mu,\hat\nu)\ge\Gamma(\mu',\nu')=\Psi_{\varepsilon}(\mu',\nu')-\delta(\mathrm{Ent}(\mu')+\mathrm{Ent}(\nu'))>N_{\varepsilon}-2\theta Γ ( μ ^ , ν ^ ) ≥ Γ ( μ ′ , ν ′ ) = Ψ ε ( μ ′ , ν ′ ) − δ ( Ent ( μ ′ ) + Ent ( ν ′ )) > N ε − 2 θ . Since μ ^ , ν ^ ∈ P E n t \hat\mu,\hat\nu\in\mathcal{P}^{\mathrm{Ent}} μ ^ , ν ^ ∈ P Ent , Ψ 2 ε ( μ ^ , ν ^ ) ≤ N 2 ε \Psi_{2\varepsilon}(\hat\mu,\hat\nu)\le N_{2\varepsilon} Ψ 2 ε ( μ ^ , ν ^ ) ≤ N 2 ε , and Ψ ε ( μ ^ , ν ^ ) ≥ Γ ( μ ^ , ν ^ ) \Psi_{\varepsilon}(\hat\mu,\hat\nu)\ge\Gamma(\hat\mu,\hat\nu) Ψ ε ( μ ^ , ν ^ ) ≥ Γ ( μ ^ , ν ^ ) by (F5). Therefore
W ^ 2 4 ε = Ψ 2 ε ( μ ^ , ν ^ ) − Ψ ε ( μ ^ , ν ^ ) ≤ N 2 ε − Γ ( μ ^ , ν ^ ) < N 2 ε − N ε + 2 θ < 3 θ \frac{\hat W^{2}}{4\varepsilon}=\Psi_{2\varepsilon}(\hat\mu,\hat\nu)-\Psi_{\varepsilon}(\hat\mu,\hat\nu)\le N_{2\varepsilon}-\Gamma(\hat\mu,\hat\nu)<N_{2\varepsilon}-N_{\varepsilon}+2\theta<3\theta 4 ε W ^ 2 = Ψ 2 ε ( μ ^ , ν ^ ) − Ψ ε ( μ ^ , ν ^ ) ≤ N 2 ε − Γ ( μ ^ , ν ^ ) < N 2 ε − N ε + 2 θ < 3 θ
by choice (iii). So α W ^ 2 < 12 θ \alpha\hat W^{2}<12\theta α W ^ 2 < 12 θ and, as ε ≤ 1 \varepsilon\le1 ε ≤ 1 , W ^ 2 < 12 θ \hat W^{2}<12\theta W ^ 2 < 12 θ ; with choice (ii), α W ^ 2 + W ^ < 12 θ + 12 θ < r \alpha\hat W^{2}+\hat W<12\theta+\sqrt{12\theta}<r α W ^ 2 + W ^ < 12 θ + 12 θ < r . Moreover
u ( μ ^ ) − v ( ν ^ ) ≥ Ψ ε ( μ ^ , ν ^ ) ≥ Γ ( μ ^ , ν ^ ) > N ε − 2 θ ≥ m − 2 θ . u(\hat\mu)-v(\hat\nu)\ge\Psi_{\varepsilon}(\hat\mu,\hat\nu)\ge\Gamma(\hat\mu,\hat\nu)>N_{\varepsilon}-2\theta\ge m-2\theta . u ( μ ^ ) − v ( ν ^ ) ≥ Ψ ε ( μ ^ , ν ^ ) ≥ Γ ( μ ^ , ν ^ ) > N ε − 2 θ ≥ m − 2 θ .
By (F5), μ ^ , ν ^ ∈ P a c \hat\mu,\hat\nu\in\mathcal{P}^{\mathrm{ac}} μ ^ , ν ^ ∈ P ac . Fix an optimal map T T T from μ ^ \hat\mu μ ^ to ν ^ \hat\nu ν ^ and an optimal map S S S from ν ^ \hat\nu ν ^ to μ ^ \hat\mu μ ^ , which exist by McCann's Theorem on the Flat Torus: Optimal Couplings out of an Absolutely Continuous Measure are Induced by a Unique Map with a Periodic Potential §map . By (F3) and (F1), ∥ v T ∥ μ ^ = W ^ = ∥ v S ∥ ν ^ \lVert v_{T}\rVert_{\hat\mu}=\hat W=\lVert v_{S}\rVert_{\hat\nu} ∥ v T ∥ μ ^ = W ^ = ∥ v S ∥ ν ^ and W ^ ≤ d / 2 \hat W\le\sqrt d/2 W ^ ≤ d /2 .
Step 6 (The subsolution test). Put φ = α Φ ν ^ + Φ μ ^ \varphi=\alpha\Phi_{\hat\nu}+\Phi_{\hat\mu} φ = α Φ ν ^ + Φ μ ^ . By (F3) and Laplacian Test Functions on the Torus: Uniqueness of the Gradient Field, a Criterion, and Linearity of the Test Classes §linear , φ \varphi φ is an intrinsic test function on P a c \mathcal{P}^{\mathrm{ac}} P ac with ∇ φ ( μ ^ ) = α ∇ Φ ν ^ ( μ ^ ) + ∇ Φ μ ^ ( μ ^ ) = − α v T \nabla\varphi(\hat\mu)=\alpha\nabla\Phi_{\hat\nu}(\hat\mu)+\nabla\Phi_{\hat\mu}(\hat\mu)=-\alpha v_{T} ∇ φ ( μ ^ ) = α ∇ Φ ν ^ ( μ ^ ) + ∇ Φ μ ^ ( μ ^ ) = − α v T , using (F3) and (F4). For μ ∈ P E n t \mu\in\mathcal{P}^{\mathrm{Ent}} μ ∈ P Ent ,
u ( μ ) − φ ( μ ) − δ E n t ( μ ) = Γ ( μ , ν ^ ) + v ( ν ^ ) + δ E n t ( ν ^ ) − 1 2 W ( μ , μ ^ ) 2 . u(\mu)-\varphi(\mu)-\delta\,\mathrm{Ent}(\mu)=\Gamma(\mu,\hat\nu)+v(\hat\nu)+\delta\,\mathrm{Ent}(\hat\nu)-\tfrac12W(\mu,\hat\mu)^{2}. u ( μ ) − φ ( μ ) − δ Ent ( μ ) = Γ ( μ , ν ^ ) + v ( ν ^ ) + δ Ent ( ν ^ ) − 2 1 W ( μ , μ ^ ) 2 .
By Step 4, Γ ( μ , ν ^ ) ≤ Γ ( μ ^ , ν ^ ) \Gamma(\mu,\hat\nu)\le\Gamma(\hat\mu,\hat\nu) Γ ( μ , ν ^ ) ≤ Γ ( μ ^ , ν ^ ) , and by (F1), W ( μ , μ ^ ) > 0 = W ( μ ^ , μ ^ ) W(\mu,\hat\mu)>0=W(\hat\mu,\hat\mu) W ( μ , μ ^ ) > 0 = W ( μ ^ , μ ^ ) for μ ≠ μ ^ \mu\ne\hat\mu μ = μ ^ ; so u − φ − δ E n t u-\varphi-\delta\,\mathrm{Ent} u − φ − δ Ent has a strict maximum over P E n t \mathcal{P}^{\mathrm{Ent}} P Ent at μ ^ \hat\mu μ ^ , in the sense of Entropy-Penalised Viscosity Subsolutions, Supersolutions and Solutions of the Discounted Hamilton-Jacobi-Bellman Equation on the Torus Wasserstein Space §sub . Since 0 < δ ≤ δ 0 ≤ δ u 0<\delta\le\delta_{0}\le\delta_{u} 0 < δ ≤ δ 0 ≤ δ u , that clause gives μ ^ ∈ P I \hat\mu\in\mathcal{P}^{\mathcal{I}} μ ^ ∈ P I and
ρ u ( μ ^ ) + H ( μ ^ , − α v T ) − σ 2 α 2 ⟨ v T , ξ μ ^ ⟩ μ ^ ≤ δ c u ( α W ^ ) ≤ δ c ( d / ( 2 ε ) ) , \rho\,u(\hat\mu)+H(\hat\mu,-\alpha v_{T})-\frac{\sigma^{2}\alpha}{2}\langle v_{T},\xi_{\hat\mu}\rangle_{\hat\mu}\le\delta\,c_{u}(\alpha\hat W)\le\delta\,c\bigl(\sqrt d/(2\varepsilon)\bigr), ρ u ( μ ^ ) + H ( μ ^ , − α v T ) − 2 σ 2 α ⟨ v T , ξ μ ^ ⟩ μ ^ ≤ δ c u ( α W ^ ) ≤ δ c ( d / ( 2 ε ) ) ,
where ∥ ∇ φ ( μ ^ ) ∥ μ ^ = α W ^ ≤ d / ( 2 ε ) \lVert\nabla\varphi(\hat\mu)\rVert_{\hat\mu}=\alpha\hat W\le\sqrt d/(2\varepsilon) ∥ ∇ φ ( μ ^ ) ∥ μ ^ = α W ^ ≤ d / ( 2 ε ) by Step 5, and c u ≤ c c_{u}\le c c u ≤ c with c c c nondecreasing (Step 1).
Step 7 (The supersolution test). Put φ ′ = − α Φ μ ^ − Φ ν ^ \varphi'=-\alpha\Phi_{\hat\mu}-\Phi_{\hat\nu} φ ′ = − α Φ μ ^ − Φ ν ^ . By (F3), (F4) and Laplacian Test Functions on the Torus: Uniqueness of the Gradient Field, a Criterion, and Linearity of the Test Classes §linear , φ ′ \varphi' φ ′ is an intrinsic test function on P a c \mathcal{P}^{\mathrm{ac}} P ac with ∇ φ ′ ( ν ^ ) = − α ( − v S ) − 0 = α v S \nabla\varphi'(\hat\nu)=-\alpha(-v_{S})-0=\alpha v_{S} ∇ φ ′ ( ν ^ ) = − α ( − v S ) − 0 = α v S . For ν ∈ P E n t \nu\in\mathcal{P}^{\mathrm{Ent}} ν ∈ P Ent , using the symmetry W ( ν , μ ^ ) = W ( μ ^ , ν ) W(\nu,\hat\mu)=W(\hat\mu,\nu) W ( ν , μ ^ ) = W ( μ ^ , ν ) of (F1),
v ( ν ) − φ ′ ( ν ) + δ E n t ( ν ) = u ( μ ^ ) − δ E n t ( μ ^ ) − Γ ( μ ^ , ν ) + 1 2 W ( ν , ν ^ ) 2 . v(\nu)-\varphi'(\nu)+\delta\,\mathrm{Ent}(\nu)=u(\hat\mu)-\delta\,\mathrm{Ent}(\hat\mu)-\Gamma(\hat\mu,\nu)+\tfrac12W(\nu,\hat\nu)^{2}. v ( ν ) − φ ′ ( ν ) + δ Ent ( ν ) = u ( μ ^ ) − δ Ent ( μ ^ ) − Γ ( μ ^ , ν ) + 2 1 W ( ν , ν ^ ) 2 .
By Step 4 and (F1) this has a strict minimum over P E n t \mathcal{P}^{\mathrm{Ent}} P Ent at ν ^ \hat\nu ν ^ . Since 0 < δ ≤ δ v 0<\delta\le\delta_{v} 0 < δ ≤ δ v , Entropy-Penalised Viscosity Subsolutions, Supersolutions and Solutions of the Discounted Hamilton-Jacobi-Bellman Equation on the Torus Wasserstein Space §super gives ν ^ ∈ P I \hat\nu\in\mathcal{P}^{\mathcal{I}} ν ^ ∈ P I and, as ∥ ∇ φ ′ ( ν ^ ) ∥ ν ^ = α W ^ ≤ d / ( 2 ε ) \lVert\nabla\varphi'(\hat\nu)\rVert_{\hat\nu}=\alpha\hat W\le\sqrt d/(2\varepsilon) ∥ ∇ φ ′ ( ν ^ ) ∥ ν ^ = α W ^ ≤ d / ( 2 ε ) ,
ρ v ( ν ^ ) + H ( ν ^ , α v S ) + σ 2 α 2 ⟨ v S , ξ ν ^ ⟩ ν ^ ≥ − δ c ( d / ( 2 ε ) ) . \rho\,v(\hat\nu)+H(\hat\nu,\alpha v_{S})+\frac{\sigma^{2}\alpha}{2}\langle v_{S},\xi_{\hat\nu}\rangle_{\hat\nu}\ge-\delta\,c\bigl(\sqrt d/(2\varepsilon)\bigr). ρ v ( ν ^ ) + H ( ν ^ , α v S ) + 2 σ 2 α ⟨ v S , ξ ν ^ ⟩ ν ^ ≥ − δ c ( d / ( 2 ε ) ) .
Step 8 (Contradiction). Subtracting the inequality of Step 7 from that of Step 6,
ρ ( u ( μ ^ ) − v ( ν ^ ) ) ≤ [ H ( ν ^ , α v S ) − H ( μ ^ , − α v T ) ] + σ 2 α 2 [ ⟨ ξ μ ^ , v T ⟩ μ ^ + ⟨ ξ ν ^ , v S ⟩ ν ^ ] + 2 δ c ( d / ( 2 ε ) ) . \rho\bigl(u(\hat\mu)-v(\hat\nu)\bigr)\le\bigl[H(\hat\nu,\alpha v_{S})-H(\hat\mu,-\alpha v_{T})\bigr]+\frac{\sigma^{2}\alpha}{2}\bigl[\langle\xi_{\hat\mu},v_{T}\rangle_{\hat\mu}+\langle\xi_{\hat\nu},v_{S}\rangle_{\hat\nu}\bigr]+2\delta\,c\bigl(\sqrt d/(2\varepsilon)\bigr). ρ ( u ( μ ^ ) − v ( ν ^ ) ) ≤ [ H ( ν ^ , α v S ) − H ( μ ^ , − α v T ) ] + 2 σ 2 α [ ⟨ ξ μ ^ , v T ⟩ μ ^ + ⟨ ξ ν ^ , v S ⟩ ν ^ ] + 2 δ c ( d / ( 2 ε ) ) .
Since μ ^ , ν ^ ∈ P E n t ∩ P I \hat\mu,\hat\nu\in\mathcal{P}^{\mathrm{Ent}}\cap\mathcal{P}^{\mathcal{I}} μ ^ , ν ^ ∈ P Ent ∩ P I by Steps 4, 6 and 7, the second bracket is at most 0 0 0 by McCann's Tangent Inequality on the Torus, and Monotonicity of the Score Along Optimal Maps §monotone , and σ 2 α / 2 > 0 \sigma^{2}\alpha/2>0 σ 2 α /2 > 0 . Since μ ^ , ν ^ ∈ P a c \hat\mu,\hat\nu\in\mathcal{P}^{\mathrm{ac}} μ ^ , ν ^ ∈ P ac , α > 0 \alpha>0 α > 0 and α W ^ 2 + W ^ < r \alpha\hat W^{2}+\hat W<r α W ^ 2 + W ^ < r (Step 5), the structure condition with the r r r of choice (i) shows that the first bracket is less than η = ρ m / 4 \eta=\rho m/4 η = ρ m /4 . The last term is less than ρ m / 4 \rho m/4 ρ m /4 by choice (v). With Step 5,
ρ ( m − 2 θ ) < ρ ( u ( μ ^ ) − v ( ν ^ ) ) < ρ m 2 , \rho(m-2\theta)<\rho\bigl(u(\hat\mu)-v(\hat\nu)\bigr)<\frac{\rho m}{2}, ρ ( m − 2 θ ) < ρ ( u ( μ ^ ) − v ( ν ^ ) ) < 2 ρ m ,
so m − 2 θ < m / 2 m-2\theta<m/2 m − 2 θ < m /2 as ρ > 0 \rho>0 ρ > 0 , that is 2 θ > m / 2 2\theta>m/2 2 θ > m /2 , contradicting 2 θ < m / 4 2\theta<m/4 2 θ < m /4 from choice (ii). Hence u ( μ ) ≤ v ( μ ) u(\mu)\le v(\mu) u ( μ ) ≤ v ( μ ) for every μ ∈ P E n t \mu\in\mathcal{P}^{\mathrm{Ent}} μ ∈ P Ent .