Each result cited is universally quantified over the data in its own statement, and is applied to the data named here.
Conventions. By The N-Particle Dyson Game and its Mean-Field Limit: Standing Data and Equations §particles , The N-Particle Dyson Potential on the Weyl Chamber: Penalty, Monotone Gradient, Dissipation with Constants Uniform in N, and Gibbs Integrability is in force; let c 1 , C 1 c_{1},C_{1} c 1 , C 1 be the constants of The N-Particle Dyson Potential on the Weyl Chamber: Penalty, Monotone Gradient, Dissipation with Constants Uniform in N, and Gibbs Integrability §lower and a 0 , b 0 a_{0},b_{0} a 0 , b 0 those of The N-Particle Dyson Potential on the Weyl Chamber: Penalty, Monotone Gradient, Dissipation with Constants Uniform in N, and Gibbs Integrability §hypotheses . V V V and V ′ V' V ′ are continuous and Borel by A Confining Potential and Its Derivative are Continuous and Borel §continuous and A Confining Potential and Its Derivative are Continuous and Borel §borel . ℓ \ell ℓ is the logarithmic kernel , Borel by The Logarithmic Kernel on the Real Line: Borel Measurability, a Linear Lower Bound, and the Null Diagonal of an Atomless Measure §borel , with diagonal Δ \Delta Δ ; we write ( s , t ) (s,t) ( s , t ) for the point ι ( s , t ) \iota(s,t) ι ( s , t ) of R 2 \mathbb{R}^{2} R 2 given by the concatenation map of Pairs of Euclidean Points: Coordinate Projections, Pairings, the Product Measure on a Euclidean Space, Borel Norm Functions and Finite Sets , and A × B A\times B A × B for ι ( A × B ) \iota(A\times B) ι ( A × B ) . For ρ , ρ ′ ∈ P ( R ) \rho,\rho'\in\mathcal{P}(\mathbb{R}) ρ , ρ ′ ∈ P ( R ) we use the following fact (F): for every Borel F : R 2 → [ 0 , ∞ ] F:\mathbb{R}^{2}\to[0,\infty] F : R 2 → [ 0 , ∞ ]
∫ F d ( ρ ⊠ ρ ′ ) = ∫ R ( ∫ R F ( s , t ) ρ ′ ( d t ) ) ρ ( d s ) = ∫ R ( ∫ R F ( s , t ) ρ ( d s ) ) ρ ′ ( d t ) , \int F\,d(\rho\boxtimes\rho')=\int_{\mathbb{R}}\Bigl(\int_{\mathbb{R}}F(s,t)\,\rho'(dt)\Bigr)\rho(ds)=\int_{\mathbb{R}}\Bigl(\int_{\mathbb{R}}F(s,t)\,\rho(ds)\Bigr)\rho'(dt), ∫ F d ( ρ ⊠ ρ ′ ) = ∫ R ( ∫ R F ( s , t ) ρ ′ ( d t ) ) ρ ( d s ) = ∫ R ( ∫ R F ( s , t ) ρ ( d s ) ) ρ ′ ( d t ) ,
and the same identities hold for ρ ⊠ ρ ′ \rho\boxtimes\rho' ρ ⊠ ρ ′ -integrable Borel F : R 2 → R F:\mathbb{R}^{2}\to\mathbb{R} F : R 2 → R , the inner integrals being defined off null sets. This is Pairs of Euclidean Points: Coordinate Projections, Pairings, the Product Measure on a Euclidean Space, Borel Norm Functions and Finite Sets §product combined with the Tonelli and Fubini parts of Tonelli and Fubini Theorems and claim 2 of Image Measures, Measures with Densities, and Change of Variables . In particular ( ρ ⊠ ρ ′ ) ( A × B ) = ρ ( A ) ρ ′ ( B ) (\rho\boxtimes\rho')(A\times B)=\rho(A)\rho'(B) ( ρ ⊠ ρ ′ ) ( A × B ) = ρ ( A ) ρ ′ ( B ) , the marginals of ρ ⊠ ρ ′ \rho\boxtimes\rho' ρ ⊠ ρ ′ are ρ \rho ρ and ρ ′ \rho' ρ ′ , and, as ℓ ( s , t ) = ℓ ( t , s ) \ell(s,t)=\ell(t,s) ℓ ( s , t ) = ℓ ( t , s ) , ∫ A × B ℓ d ( ρ ⊠ ρ ) = ∫ B × A ℓ d ( ρ ⊠ ρ ) \int_{A\times B}\ell\,d(\rho\boxtimes\rho)=\int_{B\times A}\ell\,d(\rho\boxtimes\rho) ∫ A × B ℓ d ( ρ ⊠ ρ ) = ∫ B × A ℓ d ( ρ ⊠ ρ ) for Borel A , B A,B A , B whenever ℓ \ell ℓ is ρ ⊠ ρ \rho\boxtimes\rho ρ ⊠ ρ -integrable. For x ∈ R N x\in\mathbb{R}^{N} x ∈ R N , (F) and Basic Properties of Empirical Measures: Values, Integrals, Push-Forwards, Second Moment, and Lipschitz Dependence on the Configuration §integral (with q = 1 q=1 q = 1 ), used twice, give (E): ∫ F d ( μ x N ⊠ μ x N ) = N − 2 ∑ i , j = 1 N F ( x i , x j ) \int F\,d(\mu^{N}_{x}\boxtimes\mu^{N}_{x})=N^{-2}\sum_{i,j=1}^{N}F(x_{i},x_{j}) ∫ F d ( μ x N ⊠ μ x N ) = N − 2 ∑ i , j = 1 N F ( x i , x j ) for every Borel F F F bounded below.
For x ∈ W N x\in W_{N} x ∈ W N and i < j i<j i < j we have x i − x j = ∣ x i − x j ∣ > 0 x_{i}-x_{j}=|x_{i}-x_{j}|>0 x i − x j = ∣ x i − x j ∣ > 0 by The Weyl Chamber of Ordered Points in Euclidean Space , so by The Logarithmic Energy of N Ordered Particles on the Weyl Chamber §energy and the symmetry of ℓ \ell ℓ , H b N ( x ) = b N ∑ i < j ℓ ( x i , x j ) = b N 2 ∑ i ≠ j ℓ ( x i , x j ) H_{b_{N}}(x)=b_{N}\sum_{i<j}\ell(x_{i},x_{j})=\frac{b_{N}}{2}\sum_{i\ne j}\ell(x_{i},x_{j}) H b N ( x ) = b N ∑ i < j ℓ ( x i , x j ) = 2 b N ∑ i = j ℓ ( x i , x j ) . With b N = β / ( 2 ( N − 1 ) ) b_{N}=\beta/(2(N-1)) b N = β / ( 2 ( N − 1 )) and S x = N − 2 ∑ i ≠ j ℓ ( x i , x j ) S_{x}=N^{-2}\sum_{i\ne j}\ell(x_{i},x_{j}) S x = N − 2 ∑ i = j ℓ ( x i , x j ) this reads
P N ( x ) N = β 4 N N − 1 S x + 1 N ∑ k = 1 N V ( x k ) . ( P ) \frac{P_{N}(x)}{N}=\frac{\beta}{4}\,\frac{N}{N-1}\,S_{x}+\frac{1}{N}\sum_{k=1}^{N}V(x_{k}).\qquad(\mathrm{P}) N P N ( x ) = 4 β N − 1 N S x + N 1 k = 1 ∑ N V ( x k ) . ( P )
Step 1 (Bounds). By Confining Potentials on the Real Line §superquadratic with M = 1 M=1 M = 1 there is a positive K K K with t 2 ≤ V ( t ) t^{2}\le V(t) t 2 ≤ V ( t ) for ∣ t ∣ ≥ K |t|\ge K ∣ t ∣ ≥ K , and by The N-Particle Dyson Potential on the Weyl Chamber: Penalty, Monotone Gradient, Dissipation with Constants Uniform in N, and Gibbs Integrability §hypotheses , V ( t ) ≥ a 0 ∣ t ∣ − b 0 ≥ − ∣ b 0 ∣ V(t)\ge a_{0}|t|-b_{0}\ge-|b_{0}| V ( t ) ≥ a 0 ∣ t ∣ − b 0 ≥ − ∣ b 0 ∣ for every t t t . Put K V = K 2 + ∣ b 0 ∣ K_{V}=K^{2}+|b_{0}| K V = K 2 + ∣ b 0 ∣ . Then
V ( t ) ≥ t 2 − K V and V ( t ) ≥ − K V for every t ∈ R , ( 1 ) V(t)\ge t^{2}-K_{V}\quad\text{and}\quad V(t)\ge-K_{V}\qquad\text{for every }t\in\mathbb{R},\qquad(1) V ( t ) ≥ t 2 − K V and V ( t ) ≥ − K V for every t ∈ R , ( 1 )
the first for ∣ t ∣ < K |t|<K ∣ t ∣ < K because t 2 − K V ≤ − ∣ b 0 ∣ t^{2}-K_{V}\le-|b_{0}| t 2 − K V ≤ − ∣ b 0 ∣ there. Let e ∗ = − ( c 1 K V + C 1 ) e_{*}=-(c_{1}K_{V}+C_{1}) e ∗ = − ( c 1 K V + C 1 ) and A 0 = 1 / c 1 > 0 A_{0}=1/c_{1}>0 A 0 = 1/ c 1 > 0 . For N ≥ 2 N\ge2 N ≥ 2 and x ∈ W N x\in W_{N} x ∈ W N , The N-Particle Dyson Potential on the Weyl Chamber: Penalty, Monotone Gradient, Dissipation with Constants Uniform in N, and Gibbs Integrability §lower and (1) give P N ( x ) ≥ c 1 ∑ k V ( x k ) − C 1 N ≥ − c 1 K V N − C 1 N = e ∗ N P_{N}(x)\ge c_{1}\sum_{k}V(x_{k})-C_{1}N\ge-c_{1}K_{V}N-C_{1}N=e_{*}N P N ( x ) ≥ c 1 ∑ k V ( x k ) − C 1 N ≥ − c 1 K V N − C 1 N = e ∗ N , and
∥ x ∥ 2 = ∑ k = 1 N x k 2 ≤ ∑ k = 1 N V ( x k ) + K V N ≤ P N ( x ) + C 1 N c 1 + K V N = A 0 ( P N ( x ) − e ∗ N ) ≤ A 0 ( N + P N ( x ) − e ∗ N ) . \lVert x\rVert^{2}=\sum_{k=1}^{N}x_{k}^{2}\le\sum_{k=1}^{N}V(x_{k})+K_{V}N\le\frac{P_{N}(x)+C_{1}N}{c_{1}}+K_{V}N=A_{0}\bigl(P_{N}(x)-e_{*}N\bigr)\le A_{0}\bigl(N+P_{N}(x)-e_{*}N\bigr). ∥ x ∥ 2 = k = 1 ∑ N x k 2 ≤ k = 1 ∑ N V ( x k ) + K V N ≤ c 1 P N ( x ) + C 1 N + K V N = A 0 ( P N ( x ) − e ∗ N ) ≤ A 0 ( N + P N ( x ) − e ∗ N ) .
This is claim The Discrete Dyson Energy per Particle: Bounds, Compactness with a Lower Limit, and Recovery Configurations with Separated Particles §bounds .
Step 2 (Compactness and lower limit). Let ( N k ) (N_{k}) ( N k ) , ( x k ) (x^{k}) ( x k ) and c c c be as in claim The Discrete Dyson Energy per Particle: Bounds, Compactness with a Lower Limit, and Recovery Configurations with Separated Particles §liminf , write μ k = μ x k N k \mu_{k}=\mu^{N_{k}}_{x^{k}} μ k = μ x k N k and a k = P N k ( x k ) / N k a_{k}=P_{N_{k}}(x^{k})/N_{k} a k = P N k ( x k ) / N k , so that e ∗ ≤ a k ≤ c e_{*}\le a_{k}\le c e ∗ ≤ a k ≤ c by Step 1.
(2a) Compactness. By Basic Properties of Empirical Measures: Values, Integrals, Push-Forwards, Second Moment, and Lipschitz Dependence on the Configuration §moment and Basic Properties of Empirical Measures: Values, Integrals, Push-Forwards, Second Moment, and Lipschitz Dependence on the Configuration §integral , μ k ∈ P 2 ( R ) \mu_{k}\in\mathcal{P}_{2}(\mathbb{R}) μ k ∈ P 2 ( R ) , V V V is μ k \mu_{k} μ k -integrable, and by The N-Particle Dyson Potential on the Weyl Chamber: Penalty, Monotone Gradient, Dissipation with Constants Uniform in N, and Gibbs Integrability §lower
∫ V d μ k = 1 N k ∑ i V ( x i k ) ≤ a k + C 1 c 1 ≤ c + C 1 c 1 . \int V\,d\mu_{k}=\frac{1}{N_{k}}\sum_{i}V(x^{k}_{i})\le\frac{a_{k}+C_{1}}{c_{1}}\le\frac{c+C_{1}}{c_{1}} . ∫ V d μ k = N k 1 i ∑ V ( x i k ) ≤ c 1 a k + C 1 ≤ c 1 c + C 1 .
V V V is Borel, bounded below by (1), and superquadratic in the sense of Wasserstein Convergence from Weak Convergence with Uniformly Integrable Second Moments, and Wasserstein Compactness under a Superquadratic Moment Bound §compactness (with m = 1 m=1 m = 1 ) by Confining Potentials on the Real Line §superquadratic . That clause gives ν ∈ P 2 ( R ) \nu\in\mathcal{P}_{2}(\mathbb{R}) ν ∈ P 2 ( R ) and a strictly increasing ( k j ) (k_{j}) ( k j ) with W 2 ( μ k j , ν ) → 0 W_{2}(\mu_{k_{j}},\nu)\to0 W 2 ( μ k j , ν ) → 0 . Write μ j ′ = μ k j \mu_{j}'=\mu_{k_{j}} μ j ′ = μ k j , N j ′ = N k j N_{j}'=N_{k_{j}} N j ′ = N k j , a j ′ = a k j a_{j}'=a_{k_{j}} a j ′ = a k j and ℓ ∗ = lim inf j a j ′ \ell_{*}=\liminf_{j}a_{j}' ℓ ∗ = lim inf j a j ′ , the limit inferior of a sequence in [ e ∗ , c ] [e_{*},c] [ e ∗ , c ] ; note N j ′ ≥ j N_{j}'\ge j N j ′ ≥ j , so N j ′ → ∞ N_{j}'\to\infty N j ′ → ∞ .
(2b) The squares converge weakly. Let f : R 2 → R f:\mathbb{R}^{2}\to\mathbb{R} f : R 2 → R be bounded and Lipschitz with constant L L L . For each s s s , t ↦ f ( s , t ) t\mapsto f(s,t) t ↦ f ( s , t ) and t ↦ f ( t , s ) t\mapsto f(t,s) t ↦ f ( t , s ) are bounded and Lipschitz with constant L L L on R \mathbb{R} R , since ∥ ( s , t ) − ( s , t ′ ) ∥ = ∣ t − t ′ ∣ \lVert(s,t)-(s,t')\rVert=|t-t'| ∥( s , t ) − ( s , t ′ )∥ = ∣ t − t ′ ∣ . For every π ∈ Π ( μ j ′ , ν ) \pi\in\Pi(\mu_{j}',\nu) π ∈ Π ( μ j ′ , ν ) , finite in cost by Couplings on Euclidean Space: Product Coupling, Swap, Finiteness of the Cost, Push-Forward Couplings, Modifying One Marginal, Quantisation, Gluing over a Finitely Supported Measure, and the Lipschitz Bound §cost-finite , Couplings on Euclidean Space: Product Coupling, Swap, Finiteness of the Cost, Push-Forward Couplings, Modifying One Marginal, Quantisation, Gluing over a Finitely Supported Measure, and the Lipschitz Bound §lipschitz bounds ∣ ∫ f ( s , t ) μ j ′ ( d t ) − ∫ f ( s , t ) ν ( d t ) ∣ |\int f(s,t)\mu_{j}'(dt)-\int f(s,t)\nu(dt)| ∣ ∫ f ( s , t ) μ j ′ ( d t ) − ∫ f ( s , t ) ν ( d t ) ∣ by L I ( π ) L\sqrt{I(\pi)} L I ( π ) ; taking the infimum over π \pi π as in The Quadratic Wasserstein Distance on Euclidean Space §distance , the bound L W 2 ( μ j ′ , ν ) L\,W_{2}(\mu_{j}',\nu) L W 2 ( μ j ′ , ν ) follows, and likewise in the other variable. By (F), inserting μ j ′ ⊠ ν \mu_{j}'\boxtimes\nu μ j ′ ⊠ ν ,
∣ ∫ f d ( μ j ′ ⊠ μ j ′ ) − ∫ f d ( ν ⊠ ν ) ∣ ≤ 2 L W 2 ( μ j ′ , ν ) → 0. \Bigl|\int f\,d(\mu_{j}'\boxtimes\mu_{j}')-\int f\,d(\nu\boxtimes\nu)\Bigr|\le2L\,W_{2}(\mu_{j}',\nu)\to0 . ∫ f d ( μ j ′ ⊠ μ j ′ ) − ∫ f d ( ν ⊠ ν ) ≤ 2 L W 2 ( μ j ′ , ν ) → 0.
By claim 1 of Portmanteau Theorem on a Metric Space on R 2 \mathbb{R}^{2} R 2 , μ j ′ ⊠ μ j ′ \mu_{j}'\boxtimes\mu_{j}' μ j ′ ⊠ μ j ′ converges weakly to ν ⊠ ν \nu\boxtimes\nu ν ⊠ ν .
(2c) Truncated kernels. For a natural number M ≥ 1 M\ge1 M ≥ 1 let ℓ M ( s , t ) = min { ℓ ( s , t ) , M } \ell_{M}(s,t)=\min\{\ell(s,t),M\} ℓ M ( s , t ) = min { ℓ ( s , t ) , M } for s ≠ t s\ne t s = t and ℓ M ( s , s ) = M \ell_{M}(s,s)=M ℓ M ( s , s ) = M . On the open set { ∣ s − t ∣ < e − M } \{|s-t|<e^{-M}\} { ∣ s − t ∣ < e − M } , which contains Δ \Delta Δ , ℓ M ≡ M \ell_{M}\equiv M ℓ M ≡ M ; on the open set { s ≠ t } \{s\ne t\} { s = t } , ℓ M = min { − log ∣ s − t ∣ , M } \ell_{M}=\min\{-\log|s-t|,M\} ℓ M = min { − log ∣ s − t ∣ , M } is continuous; so ℓ M \ell_{M} ℓ M is continuous. By The Logarithmic Kernel on the Real Line: Borel Measurability, a Linear Lower Bound, and the Null Diagonal of an Atomless Measure §lower-bound and M > 0 M>0 M > 0 , ℓ M ( s , t ) ≥ − ∣ s ∣ − ∣ t ∣ \ell_{M}(s,t)\ge-|s|-|t| ℓ M ( s , t ) ≥ − ∣ s ∣ − ∣ t ∣ . Put κ = K V + β 2 / 16 \kappa=K_{V}+\beta^{2}/16 κ = K V + β 2 /16 and
k M ( s , t ) = β 4 ℓ M ( s , t ) + 1 2 ( V ( s ) + V ( t ) ) , k ( s , t ) = β 4 ℓ ( s , t ) + 1 2 ( V ( s ) + V ( t ) ) , k_{M}(s,t)=\tfrac{\beta}{4}\ell_{M}(s,t)+\tfrac12\bigl(V(s)+V(t)\bigr),\qquad k(s,t)=\tfrac{\beta}{4}\ell(s,t)+\tfrac12\bigl(V(s)+V(t)\bigr), k M ( s , t ) = 4 β ℓ M ( s , t ) + 2 1 ( V ( s ) + V ( t ) ) , k ( s , t ) = 4 β ℓ ( s , t ) + 2 1 ( V ( s ) + V ( t ) ) ,
continuous, respectively Borel. Since β 4 ∣ s ∣ ≤ s 2 2 + β 2 32 \frac{\beta}{4}|s|\le\frac{s^{2}}{2}+\frac{\beta^{2}}{32} 4 β ∣ s ∣ ≤ 2 s 2 + 32 β 2 , (1) and the two lower bounds for ℓ \ell ℓ and ℓ M \ell_{M} ℓ M give k M ≥ − κ k_{M}\ge-\kappa k M ≥ − κ and k ≥ − κ k\ge-\kappa k ≥ − κ off Δ \Delta Δ ; on Δ \Delta Δ , k M ( s , s ) ≥ V ( s ) ≥ − κ k_{M}(s,s)\ge V(s)\ge-\kappa k M ( s , s ) ≥ V ( s ) ≥ − κ and k ( s , s ) = V ( s ) ≥ − κ k(s,s)=V(s)\ge-\kappa k ( s , s ) = V ( s ) ≥ − κ . Moreover k M ≤ k M + 1 k_{M}\le k_{M+1} k M ≤ k M + 1 , and sup M k M = k \sup_{M}k_{M}=k sup M k M = k off Δ \Delta Δ , = + ∞ =+\infty = + ∞ on Δ \Delta Δ .
(2d) Empirical bound. Let N ≥ 2 N\ge2 N ≥ 2 , x ∈ W N x\in W_{N} x ∈ W N with P N ( x ) ≤ c N P_{N}(x)\le cN P N ( x ) ≤ c N , and μ = μ x N \mu=\mu^{N}_{x} μ = μ x N . By (E), ℓ M ≤ ℓ \ell_{M}\le\ell ℓ M ≤ ℓ off Δ \Delta Δ and ∑ i ≠ j 1 2 ( V ( x i ) + V ( x j ) ) = ( N − 1 ) ∑ i V ( x i ) \sum_{i\ne j}\tfrac12(V(x_{i})+V(x_{j}))=(N-1)\sum_{i}V(x_{i}) ∑ i = j 2 1 ( V ( x i ) + V ( x j )) = ( N − 1 ) ∑ i V ( x i ) ,
∫ k M d ( μ ⊠ μ ) ≤ β 4 S x + 1 N ∑ i V ( x i ) + β 4 M N . \int k_{M}\,d(\mu\boxtimes\mu)\le\frac{\beta}{4}S_{x}+\frac{1}{N}\sum_{i}V(x_{i})+\frac{\beta}{4}\,\frac{M}{N}. ∫ k M d ( μ ⊠ μ ) ≤ 4 β S x + N 1 i ∑ V ( x i ) + 4 β N M .
By The Logarithmic Kernel on the Real Line: Borel Measurability, a Linear Lower Bound, and the Null Diagonal of an Atomless Measure §lower-bound , ∣ x i ∣ ≤ 1 2 ( 1 + x i 2 ) |x_{i}|\le\frac12(1+x_{i}^{2}) ∣ x i ∣ ≤ 2 1 ( 1 + x i 2 ) and Step 1, S x ≥ − 2 N ∑ i ∣ x i ∣ ≥ − ( 1 + ∥ x ∥ 2 / N ) ≥ − s 0 S_{x}\ge-\frac{2}{N}\sum_{i}|x_{i}|\ge-\bigl(1+\lVert x\rVert^{2}/N\bigr)\ge-s_{0} S x ≥ − N 2 ∑ i ∣ x i ∣ ≥ − ( 1 + ∥ x ∥ 2 / N ) ≥ − s 0 with s 0 = 1 + A 0 ( 1 + c − e ∗ ) s_{0}=1+A_{0}(1+c-e_{*}) s 0 = 1 + A 0 ( 1 + c − e ∗ ) . Hence N N − 1 S x ≥ S x − s 0 N − 1 \frac{N}{N-1}S_{x}\ge S_{x}-\frac{s_{0}}{N-1} N − 1 N S x ≥ S x − N − 1 s 0 (trivially if S x ≥ 0 S_{x}\ge0 S x ≥ 0 ), and with (P)
∫ k M d ( μ x N ⊠ μ x N ) ≤ P N ( x ) N + ε N , M , ε N , M = β 4 ( s 0 N − 1 + M N ) . ( 2 ) \int k_{M}\,d(\mu^{N}_{x}\boxtimes\mu^{N}_{x})\le\frac{P_{N}(x)}{N}+\varepsilon_{N,M},\qquad\varepsilon_{N,M}=\frac{\beta}{4}\Bigl(\frac{s_{0}}{N-1}+\frac{M}{N}\Bigr).\qquad(2) ∫ k M d ( μ x N ⊠ μ x N ) ≤ N P N ( x ) + ε N , M , ε N , M = 4 β ( N − 1 s 0 + N M ) . ( 2 )
(2e) Passage to the limit. Fix M M M , and a natural number L ≥ 1 L\ge1 L ≥ 1 . The function min { k M , L } + κ \min\{k_{M},L\}+\kappa min { k M , L } + κ is continuous, with values in [ 0 , L + κ ] [0,L+\kappa] [ 0 , L + κ ] , so by (2b) and Weak Convergence of Finite Borel Measures on a Metric Space , its integrals G j G_{j} G j against μ j ′ ⊠ μ j ′ \mu_{j}'\boxtimes\mu_{j}' μ j ′ ⊠ μ j ′ converge to its integral G G G against ν ⊠ ν \nu\boxtimes\nu ν ⊠ ν ; by (2), G j ≤ a j ′ + ε N j ′ , M + κ G_{j}\le a_{j}'+\varepsilon_{N_{j}',M}+\kappa G j ≤ a j ′ + ε N j ′ , M + κ . Given η > 0 \eta>0 η > 0 , choose j j j so large that G j > G − η G_{j}>G-\eta G j > G − η , ε N j ′ , M < η \varepsilon_{N_{j}',M}<\eta ε N j ′ , M < η and a j ′ < ℓ ∗ + η a_{j}'<\ell_{*}+\eta a j ′ < ℓ ∗ + η (possible by claim 4 of Basic Properties of the Limit Inferior and Limit Superior of a Bounded Real Sequence ); then G < ℓ ∗ + κ + 3 η G<\ell_{*}+\kappa+3\eta G < ℓ ∗ + κ + 3 η . Hence G ≤ ℓ ∗ + κ G\le\ell_{*}+\kappa G ≤ ℓ ∗ + κ . Letting L → ∞ L\to\infty L → ∞ , Monotone Convergence Theorem gives ∫ ( k M + κ ) d ( ν ⊠ ν ) ≤ ℓ ∗ + κ \int(k_{M}+\kappa)\,d(\nu\boxtimes\nu)\le\ell_{*}+\kappa ∫ ( k M + κ ) d ( ν ⊠ ν ) ≤ ℓ ∗ + κ ; letting then M → ∞ M\to\infty M → ∞ , again by Monotone Convergence Theorem and (2c),
∫ sup M ( k M + κ ) d ( ν ⊠ ν ) ≤ ℓ ∗ + κ < ∞ . \int\sup_{M}(k_{M}+\kappa)\,d(\nu\boxtimes\nu)\le\ell_{*}+\kappa<\infty . ∫ M sup ( k M + κ ) d ( ν ⊠ ν ) ≤ ℓ ∗ + κ < ∞.
As sup M ( k M + κ ) = + ∞ \sup_{M}(k_{M}+\kappa)=+\infty sup M ( k M + κ ) = + ∞ on Δ \Delta Δ , ( ν ⊠ ν ) ( Δ ) = 0 (\nu\boxtimes\nu)(\Delta)=0 ( ν ⊠ ν ) ( Δ ) = 0 ; so k + κ = sup M ( k M + κ ) k+\kappa=\sup_{M}(k_{M}+\kappa) k + κ = sup M ( k M + κ ) almost everywhere and ∫ ( k + κ ) d ( ν ⊠ ν ) ≤ ℓ ∗ + κ \int(k+\kappa)\,d(\nu\boxtimes\nu)\le\ell_{*}+\kappa ∫ ( k + κ ) d ( ν ⊠ ν ) ≤ ℓ ∗ + κ .
(2f) ν ∈ D \nu\in\mathcal{D} ν ∈ D and the lower limit. For a ∈ R a\in\mathbb{R} a ∈ R , ν ( { a } ) 2 = ( ν ⊠ ν ) ( { a } × { a } ) ≤ ( ν ⊠ ν ) ( Δ ) = 0 \nu(\{a\})^{2}=(\nu\boxtimes\nu)(\{a\}\times\{a\})\le(\nu\boxtimes\nu)(\Delta)=0 ν ({ a } ) 2 = ( ν ⊠ ν ) ({ a } × { a }) ≤ ( ν ⊠ ν ) ( Δ ) = 0 , so ν \nu ν is atomless. Let g ( s , t ) = 1 2 ( V ( s ) + V ( t ) ) + K V ≥ 0 g(s,t)=\frac12(V(s)+V(t))+K_{V}\ge0 g ( s , t ) = 2 1 ( V ( s ) + V ( t )) + K V ≥ 0 . From k = β 4 ℓ + g − K V k=\frac{\beta}{4}\ell+g-K_{V} k = 4 β ℓ + g − K V and ℓ ≥ − ∣ s ∣ − ∣ t ∣ \ell\ge-|s|-|t| ℓ ≥ − ∣ s ∣ − ∣ t ∣ we get 0 ≤ g ≤ ( k + κ ) + β 4 ( ∣ s ∣ + ∣ t ∣ ) + K V 0\le g\le(k+\kappa)+\frac{\beta}{4}(|s|+|t|)+K_{V} 0 ≤ g ≤ ( k + κ ) + 4 β ( ∣ s ∣ + ∣ t ∣ ) + K V , which is integrable because ν ∈ P 2 ( R ) \nu\in\mathcal{P}_{2}(\mathbb{R}) ν ∈ P 2 ( R ) and ∣ s ∣ ≤ 1 2 ( 1 + s 2 ) |s|\le\frac12(1+s^{2}) ∣ s ∣ ≤ 2 1 ( 1 + s 2 ) ; by (F), ∫ g d ( ν ⊠ ν ) = ∫ ( V + K V ) d ν \int g\,d(\nu\boxtimes\nu)=\int(V+K_{V})\,d\nu ∫ g d ( ν ⊠ ν ) = ∫ ( V + K V ) d ν , so V V V is ν \nu ν -integrable. Then ℓ = 4 β ( k − g + K V ) \ell=\frac{4}{\beta}(k-g+K_{V}) ℓ = β 4 ( k − g + K V ) is ν ⊠ ν \nu\boxtimes\nu ν ⊠ ν -integrable. By The Logarithmic Energy of a Probability Measure on the Real Line §energy , ν ∈ D log \nu\in\mathcal{D}_{\log} ν ∈ D l o g , and by The Confined Logarithmic-Energy Pair on the Wasserstein Space of the Real Line §pair , ν ∈ D \nu\in\mathcal{D} ν ∈ D with, by (F) for g g g ,
E ( ν ) = β 4 ∫ ℓ d ( ν ⊠ ν ) + ∫ V d ν = ∫ k d ( ν ⊠ ν ) ≤ ℓ ∗ . \mathcal{E}(\nu)=\tfrac{\beta}{4}\int\ell\,d(\nu\boxtimes\nu)+\int V\,d\nu=\int k\,d(\nu\boxtimes\nu)\le\ell_{*}. E ( ν ) = 4 β ∫ ℓ d ( ν ⊠ ν ) + ∫ V d ν = ∫ k d ( ν ⊠ ν ) ≤ ℓ ∗ .
Given ε > 0 \varepsilon>0 ε > 0 , claim 3 of Basic Properties of the Limit Inferior and Limit Superior of a Bounded Real Sequence gives j 0 j_{0} j 0 with ℓ ∗ − ε < a j ′ \ell_{*}-\varepsilon<a_{j}' ℓ ∗ − ε < a j ′ for j ≥ j 0 j\ge j_{0} j ≥ j 0 , so E ( ν ) ≤ P N k j ( x k j ) / N k j + ε \mathcal{E}(\nu)\le P_{N_{k_{j}}}(x^{k_{j}})/N_{k_{j}}+\varepsilon E ( ν ) ≤ P N k j ( x k j ) / N k j + ε for j ≥ j 0 j\ge j_{0} j ≥ j 0 . This proves claim The Discrete Dyson Energy per Particle: Bounds, Compactness with a Lower Limit, and Recovery Configurations with Separated Particles §liminf .
Step 3 (Recovery). Let μ ∈ D \mu\in\mathcal{D} μ ∈ D and ε > 0 \varepsilon>0 ε > 0 ; thus μ \mu μ is atomless, ℓ \ell ℓ is μ ⊠ μ \mu\boxtimes\mu μ ⊠ μ -integrable and V V V is μ \mu μ -integrable.
(3a) Truncation. For a natural number n ≥ 1 n\ge1 n ≥ 1 let I n = [ − n , n ] I_{n}=[-n,n] I n = [ − n , n ] and p n = μ ( I n ) p_{n}=\mu(I_{n}) p n = μ ( I n ) . Since 1 I n ↑ 1 \mathbf{1}_{I_{n}}\uparrow1 1 I n ↑ 1 pointwise, p n → 1 p_{n}\to1 p n → 1 by Monotone Convergence Theorem ; fix n 0 n_{0} n 0 with p n ≥ 1 2 p_{n}\ge\frac12 p n ≥ 2 1 for n ≥ n 0 n\ge n_{0} n ≥ n 0 . For such n n n let μ n \mu_{n} μ n be the measure with density p n − 1 1 I n p_{n}^{-1}\mathbf{1}_{I_{n}} p n − 1 1 I n with respect to μ \mu μ (claim 3 of Image Measures, Measures with Densities, and Change of Variables ): a probability measure with μ n ( R ∖ I n ) = 0 \mu_{n}(\mathbb{R}\setminus I_{n})=0 μ n ( R ∖ I n ) = 0 , ∫ h d μ n = p n − 1 ∫ h 1 I n d μ \int h\,d\mu_{n}=p_{n}^{-1}\int h\mathbf{1}_{I_{n}}\,d\mu ∫ h d μ n = p n − 1 ∫ h 1 I n d μ for Borel h ≥ 0 h\ge0 h ≥ 0 and for μ \mu μ -integrable h h h , and μ n ( { a } ) ≤ 2 μ ( { a } ) = 0 \mu_{n}(\{a\})\le2\mu(\{a\})=0 μ n ({ a }) ≤ 2 μ ({ a }) = 0 . Hence μ n ∈ P 2 ( R ) \mu_{n}\in\mathcal{P}_{2}(\mathbb{R}) μ n ∈ P 2 ( R ) , and by (F) applied twice, ∫ F d ( μ n ⊠ μ n ) = p n − 2 ∫ F 1 I n × I n d ( μ ⊠ μ ) \int F\,d(\mu_{n}\boxtimes\mu_{n})=p_{n}^{-2}\int F\,\mathbf{1}_{I_{n}\times I_{n}}\,d(\mu\boxtimes\mu) ∫ F d ( μ n ⊠ μ n ) = p n − 2 ∫ F 1 I n × I n d ( μ ⊠ μ ) for Borel F ≥ 0 F\ge0 F ≥ 0 , hence for F = ℓ ± F=\ell^{\pm} F = ℓ ± . So ℓ \ell ℓ is μ n ⊠ μ n \mu_{n}\boxtimes\mu_{n} μ n ⊠ μ n -integrable, V V V is μ n \mu_{n} μ n -integrable, μ n ∈ D \mu_{n}\in\mathcal{D} μ n ∈ D , and by Dominated Convergence Theorem (dominating functions ∣ ℓ ∣ |\ell| ∣ ℓ ∣ and ∣ V ∣ |V| ∣ V ∣ ) and p n → 1 p_{n}\to1 p n → 1 ,
E log ( μ n ) = p n − 2 ∫ ℓ 1 I n × I n d ( μ ⊠ μ ) → E log ( μ ) , ∫ V d μ n → ∫ V d μ , \mathcal{E}_{\log}(\mu_{n})=p_{n}^{-2}\int\ell\,\mathbf{1}_{I_{n}\times I_{n}}\,d(\mu\boxtimes\mu)\to\mathcal{E}_{\log}(\mu),\qquad\int V\,d\mu_{n}\to\int V\,d\mu, E l o g ( μ n ) = p n − 2 ∫ ℓ 1 I n × I n d ( μ ⊠ μ ) → E l o g ( μ ) , ∫ V d μ n → ∫ V d μ ,
so E ( μ n ) → E ( μ ) \mathcal{E}(\mu_{n})\to\mathcal{E}(\mu) E ( μ n ) → E ( μ ) . Moreover W 2 ( μ n , μ ) → 0 W_{2}(\mu_{n},\mu)\to0 W 2 ( μ n , μ ) → 0 by Wasserstein Convergence from Weak Convergence with Uniformly Integrable Second Moments, and Wasserstein Compactness under a Superquadratic Moment Bound §convergence applied to ( μ n ) n ≥ n 0 (\mu_{n})_{n\ge n_{0}} ( μ n ) n ≥ n 0 : for bounded continuous f f f , ∫ f d μ n = p n − 1 ∫ f 1 I n d μ → ∫ f d μ \int f\,d\mu_{n}=p_{n}^{-1}\int f\mathbf{1}_{I_{n}}\,d\mu\to\int f\,d\mu ∫ f d μ n = p n − 1 ∫ f 1 I n d μ → ∫ f d μ by Dominated Convergence Theorem , which is weak convergence; and given η > 0 \eta>0 η > 0 , Dominated Convergence Theorem applied to s 2 1 { ∣ s ∣ > K } s^{2}\mathbf{1}_{\{|s|>K\}} s 2 1 { ∣ s ∣ > K } (dominated by s 2 s^{2} s 2 ) gives K K K with ∫ { ∣ s ∣ > K } s 2 d μ < η / 2 \int_{\{|s|>K\}}s^{2}\,d\mu<\eta/2 ∫ { ∣ s ∣ > K } s 2 d μ < η /2 , whence ∫ { ∣ s ∣ > K } s 2 d μ n ≤ 2 ∫ { ∣ s ∣ > K } s 2 d μ < η \int_{\{|s|>K\}}s^{2}\,d\mu_{n}\le2\int_{\{|s|>K\}}s^{2}\,d\mu<\eta ∫ { ∣ s ∣ > K } s 2 d μ n ≤ 2 ∫ { ∣ s ∣ > K } s 2 d μ < η for every n ≥ n 0 n\ge n_{0} n ≥ n 0 . Fix R = n ≥ n 0 R=n\ge n_{0} R = n ≥ n 0 with
W 2 ( μ R , μ ) < ε / 3 , E ( μ R ) < E ( μ ) + ε / 3 , ( 3 ) W_{2}(\mu_{R},\mu)<\varepsilon/3,\qquad\mathcal{E}(\mu_{R})<\mathcal{E}(\mu)+\varepsilon/3,\qquad(3) W 2 ( μ R , μ ) < ε /3 , E ( μ R ) < E ( μ ) + ε /3 , ( 3 )
and write μ ^ = μ R \hat{\mu}=\mu_{R} μ ^ = μ R , I = I R I=I_{R} I = I R : an atomless member of D ⊆ P 2 ( R ) \mathcal{D}\subseteq\mathcal{P}_{2}(\mathbb{R}) D ⊆ P 2 ( R ) with μ ^ ( R ∖ I ) = 0 \hat{\mu}(\mathbb{R}\setminus I)=0 μ ^ ( R ∖ I ) = 0 , hence ( μ ^ ⊠ μ ^ ) ( R 2 ∖ I × I ) = 0 (\hat{\mu}\boxtimes\hat{\mu})(\mathbb{R}^{2}\setminus I\times I)=0 ( μ ^ ⊠ μ ^ ) ( R 2 ∖ I × I ) = 0 by (F).
(3b) Block means. Fix N ≥ 2 N\ge2 N ≥ 2 and let B 1 , … , B N B_{1},\dots,B_{N} B 1 , … , B N be the quantile blocks of μ ^ \hat{\mu} μ ^ at level N N N from Quantile Blocks of an Atomless Measure on the Line: Block Maps, Distances to Ordered Empirical Measures, and the Block Test Function ; by Quantile Blocks of an Atomless Measure on the Line: Block Maps, Distances to Ordered Empirical Measures, and the Block Test Function §blocks they partition R \mathbb{R} R into Borel sets of mass 1 N \frac1N N 1 , and t < s t<s t < s whenever s ∈ B i s\in B_{i} s ∈ B i , t ∈ B j t\in B_{j} t ∈ B j , i < j i<j i < j . Put y i = N ∫ B i s μ ^ ( d s ) y_{i}=N\int_{B_{i}}s\,\hat{\mu}(ds) y i = N ∫ B i s μ ^ ( d s ) (the block average m i m_{i} m i of the lemma; i d \mathrm{id} id is μ ^ \hat{\mu} μ ^ -integrable as ∣ s ∣ ≤ R |s|\le R ∣ s ∣ ≤ R a.e.). Then ∣ y i ∣ ≤ N ∫ B i ∣ s ∣ d μ ^ ≤ R |y_{i}|\le N\int_{B_{i}}|s|\,d\hat{\mu}\le R ∣ y i ∣ ≤ N ∫ B i ∣ s ∣ d μ ^ ≤ R . For i < j i<j i < j , (F) gives
y i − y j = N 2 ∫ B i × B j ( s − t ) ( μ ^ ⊠ μ ^ ) ( d s , d t ) > 0 , ( 4 ) y_{i}-y_{j}=N^{2}\int_{B_{i}\times B_{j}}(s-t)\,(\hat{\mu}\boxtimes\hat{\mu})(ds,dt)>0,\qquad(4) y i − y j = N 2 ∫ B i × B j ( s − t ) ( μ ^ ⊠ μ ^ ) ( d s , d t ) > 0 , ( 4 )
the integrand being positive on B i × B j B_{i}\times B_{j} B i × B j , a set of measure N − 2 > 0 N^{-2}>0 N − 2 > 0 . So y y y is ordered, indeed strictly decreasing.
(3c) Distance. Let J i = B i ∩ I J_{i}=B_{i}\cap I J i = B i ∩ I , nonempty as μ ^ ( J i ) = 1 N \hat{\mu}(J_{i})=\frac1N μ ^ ( J i ) = N 1 , with a i = inf J i a_{i}=\inf J_{i} a i = inf J i , b i = sup J i b_{i}=\sup J_{i} b i = sup J i and w i = b i − a i ≥ 0 w_{i}=b_{i}-a_{i}\ge0 w i = b i − a i ≥ 0 . As y i = N ∫ J i s d μ ^ y_{i}=N\int_{J_{i}}s\,d\hat{\mu} y i = N ∫ J i s d μ ^ is an average of points of [ a i , b i ] [a_{i},b_{i}] [ a i , b i ] , ∣ y i − s ∣ ≤ w i |y_{i}-s|\le w_{i} ∣ y i − s ∣ ≤ w i for s ∈ J i s\in J_{i} s ∈ J i , while μ ^ ( B i ∖ J i ) = 0 \hat{\mu}(B_{i}\setminus J_{i})=0 μ ^ ( B i ∖ J i ) = 0 . By the ordering of blocks, b i + 1 ≤ a i b_{i+1}\le a_{i} b i + 1 ≤ a i , so ∑ i w i ≤ b 1 − a N ≤ 2 R \sum_{i}w_{i}\le b_{1}-a_{N}\le2R ∑ i w i ≤ b 1 − a N ≤ 2 R . By Quantile Blocks of an Atomless Measure on the Line: Block Maps, Distances to Ordered Empirical Measures, and the Block Test Function §optimal ,
W 2 ( μ y N , μ ^ ) 2 = ∑ i = 1 N ∫ B i ( y i − s ) 2 μ ^ ( d s ) ≤ 1 N ∑ i w i 2 ≤ 1 N ( ∑ i w i ) 2 ≤ 4 R 2 N . ( 5 ) W_{2}(\mu^{N}_{y},\hat{\mu})^{2}=\sum_{i=1}^{N}\int_{B_{i}}(y_{i}-s)^{2}\,\hat{\mu}(ds)\le\frac{1}{N}\sum_{i}w_{i}^{2}\le\frac{1}{N}\Bigl(\sum_{i}w_{i}\Bigr)^{2}\le\frac{4R^{2}}{N}.\qquad(5) W 2 ( μ y N , μ ^ ) 2 = i = 1 ∑ N ∫ B i ( y i − s ) 2 μ ^ ( d s ) ≤ N 1 i ∑ w i 2 ≤ N 1 ( i ∑ w i ) 2 ≤ N 4 R 2 . ( 5 )
(3d) Energy of the block means. (i) For u , m > 0 u,m>0 u , m > 0 , − log u ≥ − log m − u − m m -\log u\ge-\log m-\frac{u-m}{m} − log u ≥ − log m − m u − m : with z = u / m z=u/m z = u / m and log u − log m = log z \log u-\log m=\log z log u − log m = log z (The Natural Logarithm ), for z ≠ 1 z\ne1 z = 1 Mean Value Theorem on a Closed Real Interval on the interval with endpoints 1 , z 1,z 1 , z gives log z = ( z − 1 ) / ξ \log z=(z-1)/\xi log z = ( z − 1 ) / ξ with ξ \xi ξ strictly between 1 1 1 and z z z , and ( z − 1 ) / ξ < z − 1 (z-1)/\xi<z-1 ( z − 1 ) / ξ < z − 1 in both cases z > 1 z>1 z > 1 and z < 1 z<1 z < 1 . Let i < j i<j i < j and m = y i − y j > 0 m=y_{i}-y_{j}>0 m = y i − y j > 0 . On B i × B j B_{i}\times B_{j} B i × B j , ℓ ( s , t ) = − log ( s − t ) ≥ − log m − ( s − t ) − m m \ell(s,t)=-\log(s-t)\ge-\log m-\frac{(s-t)-m}{m} ℓ ( s , t ) = − log ( s − t ) ≥ − log m − m ( s − t ) − m ; integrating against μ ^ ⊠ μ ^ \hat{\mu}\boxtimes\hat{\mu} μ ^ ⊠ μ ^ (ℓ \ell ℓ being integrable) and using (4),
− log ( y i − y j ) ≤ N 2 ∫ B i × B j ℓ d ( μ ^ ⊠ μ ^ ) . -\log(y_{i}-y_{j})\le N^{2}\int_{B_{i}\times B_{j}}\ell\,d(\hat{\mu}\boxtimes\hat{\mu}). − log ( y i − y j ) ≤ N 2 ∫ B i × B j ℓ d ( μ ^ ⊠ μ ^ ) .
(ii) Let λ R = max { log ( 2 R ) , 0 } \lambda_{R}=\max\{\log(2R),0\} λ R = max { log ( 2 R ) , 0 } . On I × I I\times I I × I , ℓ ≥ − λ R \ell\ge-\lambda_{R} ℓ ≥ − λ R (off Δ \Delta Δ , ∣ s − t ∣ ≤ 2 R |s-t|\le2R ∣ s − t ∣ ≤ 2 R and log \log log is increasing; on Δ \Delta Δ , ℓ = 0 \ell=0 ℓ = 0 ), so ∫ B i × B i ℓ d ( μ ^ ⊠ μ ^ ) ≥ − λ R N − 2 \int_{B_{i}\times B_{i}}\ell\,d(\hat{\mu}\boxtimes\hat{\mu})\ge-\lambda_{R}N^{-2} ∫ B i × B i ℓ d ( μ ^ ⊠ μ ^ ) ≥ − λ R N − 2 . (iii) The sets B i × B j B_{i}\times B_{j} B i × B j partition R 2 \mathbb{R}^{2} R 2 , so by the symmetry recorded in (F),
E log ( μ ^ ) = 2 ∑ i < j ∫ B i × B j ℓ d ( μ ^ ⊠ μ ^ ) + ∑ i ∫ B i × B i ℓ d ( μ ^ ⊠ μ ^ ) , hence ∑ i < j − log ( y i − y j ) ≤ N 2 2 ( E log ( μ ^ ) + λ R N ) . ( 6 ) \mathcal{E}_{\log}(\hat{\mu})=2\sum_{i<j}\int_{B_{i}\times B_{j}}\ell\,d(\hat{\mu}\boxtimes\hat{\mu})+\sum_{i}\int_{B_{i}\times B_{i}}\ell\,d(\hat{\mu}\boxtimes\hat{\mu}),\quad\text{hence}\quad\sum_{i<j}-\log(y_{i}-y_{j})\le\frac{N^{2}}{2}\Bigl(\mathcal{E}_{\log}(\hat{\mu})+\frac{\lambda_{R}}{N}\Bigr).\qquad(6) E l o g ( μ ^ ) = 2 i < j ∑ ∫ B i × B j ℓ d ( μ ^ ⊠ μ ^ ) + i ∑ ∫ B i × B i ℓ d ( μ ^ ⊠ μ ^ ) , hence i < j ∑ − log ( y i − y j ) ≤ 2 N 2 ( E l o g ( μ ^ ) + N λ R ) . ( 6 )
(iv) Tangent inequality: for u , u ′ ∈ R u,u'\in\mathbb{R} u , u ′ ∈ R , V ( u ′ ) ≥ V ( u ) + V ′ ( u ) ( u ′ − u ) V(u')\ge V(u)+V'(u)(u'-u) V ( u ′ ) ≥ V ( u ) + V ′ ( u ) ( u ′ − u ) . Indeed, by convexity , for 0 < θ ≤ 1 0<\theta\le1 0 < θ ≤ 1 , V ( u + θ ( u ′ − u ) ) − V ( u ) ≤ θ ( V ( u ′ ) − V ( u ) ) V(u+\theta(u'-u))-V(u)\le\theta(V(u')-V(u)) V ( u + θ ( u ′ − u )) − V ( u ) ≤ θ ( V ( u ′ ) − V ( u )) ; for u ′ ≠ u u'\ne u u ′ = u divide by θ \theta θ and let θ → 0 \theta\to0 θ → 0 , the left side tending to V ′ ( u ) ( u ′ − u ) V'(u)(u'-u) V ′ ( u ) ( u ′ − u ) by Derivative at an Interior Point . Applied with u = y i u=y_{i} u = y i and integrated against N μ ^ N\hat{\mu} N μ ^ over B i B_{i} B i (V V V being μ ^ \hat{\mu} μ ^ -integrable), it gives V ( y i ) ≤ N ∫ B i V d μ ^ V(y_{i})\le N\int_{B_{i}}V\,d\hat{\mu} V ( y i ) ≤ N ∫ B i V d μ ^ , so ∑ i V ( y i ) ≤ N ∫ V d μ ^ \sum_{i}V(y_{i})\le N\int V\,d\hat{\mu} ∑ i V ( y i ) ≤ N ∫ V d μ ^ .
(3e) Spreading and choice of constants. By Extreme Value Theorem on a Closed Real Interval applied to the continuous ∣ V ′ ∣ |V'| ∣ V ′ ∣ on [ − R − 1 , R + 1 ] [-R-1,R+1] [ − R − 1 , R + 1 ] there is L R ≥ 0 L_{R}\ge0 L R ≥ 0 bounding ∣ V ′ ∣ |V'| ∣ V ′ ∣ there; by the tangent inequality at u u u , V ( u ) − V ( u ′ ) ≤ L R ∣ u − u ′ ∣ V(u)-V(u')\le L_{R}|u-u'| V ( u ) − V ( u ′ ) ≤ L R ∣ u − u ′ ∣ for u , u ′ ∈ [ − R − 1 , R + 1 ] u,u'\in[-R-1,R+1] u , u ′ ∈ [ − R − 1 , R + 1 ] . Let
c = δ = min { 1 , ε 3 ( L R + 1 ) } , R ′ = R + 1 , y i ′ = y i + δ N − i N ( i ∈ [ N ] ) . c=\delta=\min\Bigl\{1,\frac{\varepsilon}{3(L_{R}+1)}\Bigr\},\qquad R'=R+1,\qquad y'_{i}=y_{i}+\delta\,\frac{N-i}{N}\quad(i\in[N]). c = δ = min { 1 , 3 ( L R + 1 ) ε } , R ′ = R + 1 , y i ′ = y i + δ N N − i ( i ∈ [ N ]) .
Then y i ′ − y i + 1 ′ = y i − y i + 1 + δ N ≥ c N > 0 y'_{i}-y'_{i+1}=y_{i}-y_{i+1}+\frac{\delta}{N}\ge\frac{c}{N}>0 y i ′ − y i + 1 ′ = y i − y i + 1 + N δ ≥ N c > 0 , so y ′ ∈ W N y'\in W_{N} y ′ ∈ W N ; ∣ y i ′ ∣ ≤ R + δ ≤ R ′ |y'_{i}|\le R+\delta\le R' ∣ y i ′ ∣ ≤ R + δ ≤ R ′ ; ∣ y i ′ − y i ∣ ≤ δ |y'_{i}-y_{i}|\le\delta ∣ y i ′ − y i ∣ ≤ δ , so W 2 ( μ y ′ N , μ y N ) ≤ δ ≤ ε / 3 W_{2}(\mu^{N}_{y'},\mu^{N}_{y})\le\delta\le\varepsilon/3 W 2 ( μ y ′ N , μ y N ) ≤ δ ≤ ε /3 by Basic Properties of Empirical Measures: Values, Integrals, Push-Forwards, Second Moment, and Lipschitz Dependence on the Configuration §lipschitz ; V ( y i ′ ) ≤ V ( y i ) + L R δ V(y'_{i})\le V(y_{i})+L_{R}\delta V ( y i ′ ) ≤ V ( y i ) + L R δ with L R δ < ε / 3 L_{R}\delta<\varepsilon/3 L R δ < ε /3 ; and for i < j i<j i < j , y i ′ − y j ′ ≥ y i − y j > 0 y'_{i}-y'_{j}\ge y_{i}-y_{j}>0 y i ′ − y j ′ ≥ y i − y j > 0 , so − log ( y i ′ − y j ′ ) ≤ − log ( y i − y j ) -\log(y'_{i}-y'_{j})\le-\log(y_{i}-y_{j}) − log ( y i ′ − y j ′ ) ≤ − log ( y i − y j ) . By The Logarithmic Energy of N Ordered Particles on the Weyl Chamber §energy , (6), (3d)(iv) and b N N 2 / ( 2 N ) = β 4 N N − 1 b_{N}N^{2}/(2N)=\frac{\beta}{4}\frac{N}{N-1} b N N 2 / ( 2 N ) = 4 β N − 1 N , with e N = E log ( μ ^ ) + λ R / N e_{N}=\mathcal{E}_{\log}(\hat{\mu})+\lambda_{R}/N e N = E l o g ( μ ^ ) + λ R / N and N N − 1 e N ≤ e N + ∣ e N ∣ N − 1 \frac{N}{N-1}e_{N}\le e_{N}+\frac{|e_{N}|}{N-1} N − 1 N e N ≤ e N + N − 1 ∣ e N ∣ ,
P N ( y ′ ) N ≤ β 4 N N − 1 e N + ∫ V d μ ^ + L R δ ≤ E ( μ ^ ) + β 4 ∣ E log ( μ ^ ) ∣ + 2 λ R N − 1 + L R δ . \frac{P_{N}(y')}{N}\le\frac{\beta}{4}\,\frac{N}{N-1}\,e_{N}+\int V\,d\hat{\mu}+L_{R}\delta\le\mathcal{E}(\hat{\mu})+\frac{\beta}{4}\,\frac{|\mathcal{E}_{\log}(\hat{\mu})|+2\lambda_{R}}{N-1}+L_{R}\delta . N P N ( y ′ ) ≤ 4 β N − 1 N e N + ∫ V d μ ^ + L R δ ≤ E ( μ ^ ) + 4 β N − 1 ∣ E l o g ( μ ^ ) ∣ + 2 λ R + L R δ .
Choose N 1 ≥ 2 N_{1}\ge2 N 1 ≥ 2 with 2 R / N ≤ ε / 3 2R/\sqrt{N}\le\varepsilon/3 2 R / N ≤ ε /3 and β 4 ( ∣ E log ( μ ^ ) ∣ + 2 λ R ) / ( N − 1 ) ≤ ε / 3 \frac{\beta}{4}(|\mathcal{E}_{\log}(\hat{\mu})|+2\lambda_{R})/(N-1)\le\varepsilon/3 4 β ( ∣ E l o g ( μ ^ ) ∣ + 2 λ R ) / ( N − 1 ) ≤ ε /3 for all N ≥ N 1 N\ge N_{1} N ≥ N 1 . For such N N N and y ′ y' y ′ as above, (3) gives P N ( y ′ ) < N ( E ( μ ) + ε ) P_{N}(y')<N(\mathcal{E}(\mu)+\varepsilon) P N ( y ′ ) < N ( E ( μ ) + ε ) , and (5), (3) and the triangle inequality of The Quadratic Wasserstein Distance is a Metric on the Wasserstein Space §triangle give
W 2 ( μ y ′ N , μ ) ≤ W 2 ( μ y ′ N , μ y N ) + W 2 ( μ y N , μ ^ ) + W 2 ( μ ^ , μ ) < ε 3 + ε 3 + ε 3 = ε . W_{2}(\mu^{N}_{y'},\mu)\le W_{2}(\mu^{N}_{y'},\mu^{N}_{y})+W_{2}(\mu^{N}_{y},\hat{\mu})+W_{2}(\hat{\mu},\mu)<\frac{\varepsilon}{3}+\frac{\varepsilon}{3}+\frac{\varepsilon}{3}=\varepsilon . W 2 ( μ y ′ N , μ ) ≤ W 2 ( μ y ′ N , μ y N ) + W 2 ( μ y N , μ ^ ) + W 2 ( μ ^ , μ ) < 3 ε + 3 ε + 3 ε = ε .
With y ′ y' y ′ in place of y y y and the positive constants c c c and R ′ R' R ′ in place of c c c and R R R , this is claim The Discrete Dyson Energy per Particle: Bounds, Compactness with a Lower Limit, and Recovery Configurations with Separated Particles §recovery .