Each result cited is universally quantified over the data in its own statement. Throughout, W=Wa, a metric on Pρa by The Noise Wasserstein Distance is a Metric on the Measures Noise-Connected to the Reference Measure: Existence of Noise-Optimal Couplings, Comparison with the Quadratic Wasserstein Distance and Lower Semicontinuity §metric, with ρ∈Pρa by The Noise Wasserstein Distance is a Metric on the Measures Noise-Connected to the Reference Measure: Existence of Noise-Optimal Couplings, Comparison with the Quadratic Wasserstein Distance and Lower Semicontinuity §reference and DΣ⊆D⊆Pρa by Noise Penalty Pairs on the Noise Wasserstein Space: the Penalty, Its Score, and Their Domains §pair; ∣s∣ is the absolute value of s∈R, α−1 is the multiplicative inverse of a positive α, J={δ∈R:0<δ<1}, and suprema and infima of nonempty subsets of R bounded above or below are those of The Real Numbers: Standing Notation and Background §bounds. For σ∈Pρa, L2(σ;Xa) is a real Hilbert space (Probability Measures on a Hilbert Space Transported in the Noise Norm: Standing Notation §fields). Elementary order arithmetic and the approximation property Approximation Property of the Supremum and the Infimum in R are in force by The Real Numbers: Standing Notation and Background §background. The order in which the auxiliary quantities are chosen is: e0 and μ0 (Step 1); then, for a given θ, the constants A, R0, λ, (ω1,ω2), κ, t1 (Step 2); then α and t2 (Step 3); then η2, δ1 and δ0 (Step 4); then, for a given δ with 0<δ<δ0, the constants K, B, R, C, Rˉ, γ and finally τ, after which the perturbed maximiser is taken (Step 5).
Step 1 (The corrected maximum and its monotonicity). By Basic Properties of a Noise-Closed Noise Penalty Pair: Lower Bound, Lower Semicontinuity, Complete Sublevel Sets and Bounded Distances §bounded-below fix e0∈R with e0≤E(σ) for every σ∈D; the set D contains the nonempty DΣ (Noise Penalty Pairs on the Noise Wasserstein Space: the Penalty, Its Score, and Their Domains §pair, Noise Penalty Pairs on the Noise Wasserstein Space: the Penalty, Its Score, and Their Domains §nonempty), so fix μ0∈D. For positive δ,α let Ψδ,α and M(δ,α) be as in Bounds, Monotonicity and Borwein-Preiss Perturbed Maximisers of the Doubled Difference in the Noise Wasserstein Distance for a Noise-Closed Penalty Pair, read with the present pair, e0, u, v, b and b′; by Bounds, Monotonicity and Borwein-Preiss Perturbed Maximisers of the Doubled Difference in the Noise Wasserstein Distance for a Noise-Closed Penalty Pair §bounds, M(δ,α) is a real number at most b−b′−2δe0. For α>0 and δ∈J put
G(α,δ)=M(δ,α)+2δe0,so thatG(α,δ)≤b−b′.(1a)
Lower bound. By Bounds, Monotonicity and Borwein-Preiss Perturbed Maximisers of the Doubled Difference in the Noise Wasserstein Distance for a Noise-Closed Penalty Pair §diagonal at μ0, u(μ0)−v(μ0)−2δE(μ0)≤M(δ,α); for δ∈J we have 2δE(μ0)≤2∣E(μ0)∣ and −2∣e0∣≤2δe0, so
ℓ≤G(α,δ),ℓ=u(μ0)−v(μ0)−2∣E(μ0)∣−2∣e0∣.(1b)
Decreasing the weight. Let α>0, δ,δ′∈J with δ′<δ, let τ≥0 and let (μ,ν)∈D×D satisfy M(δ,α)−τ≤Ψδ,α(μ,ν). By Bounds, Monotonicity and Borwein-Preiss Perturbed Maximisers of the Doubled Difference in the Noise Wasserstein Distance for a Noise-Closed Penalty Pair §weight, M(δ,α)−τ+(δ−δ′)(E(μ)+E(ν))≤M(δ′,α); adding 2(δ′−δ)e0 to both sides,
(δ−δ′)(E(μ)−e0+E(ν)−e0)≤G(α,δ′)−G(α,δ)+τ.(1c)
The left side is nonnegative, as E(μ)−e0 and E(ν)−e0 are. For every positive τ a pair (μ,ν) as above exists by the approximation property of the supremum M(δ,α), so G(α,δ)≤G(α,δ′)+τ for every positive τ, and Comparison of Real Numbers with Arbitrary Positive Slack §slack-above gives G(α,δ)≤G(α,δ′): G(α,⋅) is nonincreasing on J.
Decreasing the strength. Let 0<α′<α, δ∈J, τ≥0, and let (μ,ν)∈D×D satisfy M(δ,α)−τ≤Ψδ,α(μ,ν). By Bounds, Monotonicity and Borwein-Preiss Perturbed Maximisers of the Doubled Difference in the Noise Wasserstein Distance for a Noise-Closed Penalty Pair §strength,
2α−α′W(μ,ν)2≤M(δ,α′)−M(δ,α)+τ=G(α′,δ)−G(α,δ)+τ.(1d)
Moreover, since W(μ,ν)2≥0, every value Ψδ,α(μ,ν) is at most Ψδ,α′(μ,ν)≤M(δ,α′), so M(δ,α)≤M(δ,α′) as M(δ,α) is the least upper bound; that is, G(α,δ)≤G(α′,δ), and G(⋅,δ) is nonincreasing on the positive reals.
Step 2 (Claim 1: constants independent of the doubling). Let θ be positive. Put A=∣b∣+∣b′∣+∣e0∣+1 and R0=2A, both positive. Since F is locally strictly proper, fix by Locally Strictly Proper First-Order Equation Operators on the Noise Wasserstein Space §strictly-proper, with Q=DΣ, a properness constant λ>0 for F at R0; since F satisfies the first-order structure condition, fix by The First-Order Structure Condition at Uniquely Noise-Mapped Pairs §structure a structure pair (ω1,ω2) for F at R0. Put κ=λθ/8, positive. By clause 2 of Modulus of Continuity fix a positive t1 with ω1(t)≤κ whenever 0≤t≤t1, and put β0=1+2t1−1 and η1=t1/32.
Step 3 (Choice of the doubling strength). For α≥β0 the set {G(α,δ):δ∈J} is nonempty and bounded above by b−b′ by (1a); let N(α) be its least upper bound. By (1b), ℓ≤N(α); by Step 1, G(⋅,δ) is nonincreasing, so G(α,δ)≤G(α′,δ)≤N(α′) for β0≤α′<α and every δ∈J, whence N(α)≤N(α′). The set {N(α):α≥β0} is nonempty and bounded below by ℓ; let L be its greatest lower bound. By Approximation Property of the Supremum and the Infimum in R §epsilon-below fix α1≥β0 with N(α1)<L+η1, and put α=2α1, so that 2α=α1. Then α≥α1≥β0, so L≤N(α) and
N(2α)−N(α)<η1.(3a)
Moreover 1<β0≤α, and from 2t1−1<α we get α−1<t1/2. By The First-Order Structure Condition at Uniquely Noise-Mapped Pairs §pair the function with value ω2(t,α) at t≥0 is a modulus of continuity; by clause 2 of Modulus of Continuity fix a positive t2 with ω2(t,α)≤κ whenever 0≤t≤t2.
Step 4 (Choice of the threshold). Let η2 be the least of η1 and t2/8. By Approximation Property of the Supremum and the Infimum in R §epsilon-above fix δ1∈J with N(α)−η2<G(α,δ1), and let δ0 be the least of δ1 and t2(8∣e0∣+4)−1, a positive number. Let δ∈R satisfy 0<δ<δ0. Then δ∈J, 2δ∈J, δ(2∣e0∣+1)<t2/4 and δ<δ1, so, G(α,⋅) being nonincreasing (Step 1),
N(α)−η2<G(α,δ1)≤G(α,δ).(4a)
Step 5 (Claim 1: the bound). With δ as in Step 4 we show M(δ,α)≤θ. Suppose instead θ<M(δ,α). Write Ψ=Ψδ,α and M=M(δ,α).
Step 5a (Constants depending on δ and α). By Bounds, Monotonicity and Borwein-Preiss Perturbed Maximisers of the Doubled Difference in the Noise Wasserstein Distance for a Noise-Closed Penalty Pair §radius at δ fix K,B∈R with 0≤B, not depending on the strength or on the tolerance, with W(σ,ρ)≤B for every σ∈D with E(σ)≤K. Put
R=(2α+5)B+∣e0∣+∣K∣+A+1,
a positive real. Since F satisfies the shift-coercivity condition and 0<δ<1, fix by The Shift-Coercivity Condition for a First-Order Equation Operator on the Noise Wasserstein Space §coercivity a score bound C≥0 for F at (δ,R), and put Rˉ=R+C. Since F has momentum-continuous shifts, fix, applied with δ and Rˉ, the positive constant that First-Order Equation Operators on the Noise Wasserstein Space with Momentum-Continuous Shifts §momentum provides for η=κ, which we call γ. Finally let τ be the least of 21, 8θ, η1, 8t2 and γ(8B+2)−1. Then 0<τ<1, τ<θ, λτ≤κ, τ≤η1, τ≤t2/8 and 4τB<γ (as 0≤4B<8B+2).
Step 5b (The perturbed maximiser). By Bounds, Monotonicity and Borwein-Preiss Perturbed Maximisers of the Doubled Difference in the Noise Wasserstein Distance for a Noise-Closed Penalty Pair §perturbed, with α and τ, there are (μ^,ν^)∈D×D, sequences (μk)k and (νk)k in D and positive reals ck whose series converges with ∑k=1∞ck≤τ, such that the following hold: by Bounds, Monotonicity and Borwein-Preiss Perturbed Maximisers of the Doubled Difference in the Noise Wasserstein Distance for a Noise-Closed Penalty Pair §localised, the measures μ^, ν^, μk, νk lie in DK={σ∈D:E(σ)≤K}, so their W-distances to ρ are at most B; by Bounds, Monotonicity and Borwein-Preiss Perturbed Maximisers of the Doubled Difference in the Noise Wasserstein Distance for a Noise-Closed Penalty Pair §near-maximiser, M−τ≤Ψ(μ^,ν^); and by Bounds, Monotonicity and Borwein-Preiss Perturbed Maximisers of the Doubled Difference in the Noise Wasserstein Distance for a Noise-Closed Penalty Pair §strict-maximum, with Φ as there, Φ(μ,ν)<Φ(μ^,ν^) for every (μ,ν)∈D×D other than (μ^,ν^). By Basic Properties of a Noise-Closed Noise Penalty Pair: Lower Bound, Lower Semicontinuity, Complete Sublevel Sets and Bounded Distances §diameter with c=K and B, the distance between any two of these measures is at most 2B.
Step 5c (Test functions). Since D has the noise map property, μ^,ν^∈D and μ^,ν^,μk,νk∈Pρa, the ordered pairs (μ^,ν^), (ν^,μ^), (μ^,μk) and (ν^,νk) are uniquely noise-mapped (The Noise Map Property of a Set of Probability Measures §map-property), so by Noise-Optimal Maps and Uniquely Noise-Mapped Pairs §uniquely-mapped fix a noise-optimal map S from μ^ to ν^ and a noise-optimal map S′ from ν^ to μ^, and, by Axiom of Countable Choice, for each k noise-optimal maps Sk from μ^ to μk and Sk′ from ν^ to νk. Let φ0,ψ0,χ,χ′:Pρa→R be
φ0(μ)=W(μ,ν^)2,ψ0(ν)=W(ν,μ^)2,χ(μ)=k=1∑∞ckW(μ,μk)2,χ′(ν)=k=1∑∞ckW(ν,νk)2,
the series converging by Squared Noise Wasserstein Distances, Their Convergent Series and Linear Combinations are Noise Intrinsic Test Functions §series-convergence (with Q=D, which has the noise map property, the nonnegative bound B, the centres μk, respectively νk, whose W-distances to ρ are at most B by Step 5b, and βk=ck). By Squared Noise Wasserstein Distances, Their Convergent Series and Linear Combinations are Noise Intrinsic Test Functions §distance, with ν^, respectively μ^, as its fixed measure, φ0 and ψ0 are noise intrinsic test functions on D with ∇φ0(μ^)=2(id−S) and ∇ψ0(ν^)=2(id−S′); by Squared Noise Wasserstein Distances, Their Convergent Series and Linear Combinations are Noise Intrinsic Test Functions §series-test, χ and χ′ are noise intrinsic test functions on D; and by Squared Noise Wasserstein Distances, Their Convergent Series and Linear Combinations are Noise Intrinsic Test Functions §series-gradient, with the maps Sk, respectively Sk′, the gradient q∗=∇χ(μ^) is the sum in L2(μ^;Xa) of the convergent series ∑k=1∞2ck(id−Sk), the gradient q′∗=∇χ′(ν^) that of ∑k=1∞2ck(id−Sk′), and
∥q∗∥μ^≤2k=1∑∞ckW(μ^,μk)≤4Bk=1∑∞ck≤4τB,
where the series ∑kckW(μ^,μk) converges by Squared Noise Wasserstein Distances, Their Convergent Series and Linear Combinations are Noise Intrinsic Test Functions §series-convergence, the middle step uses W(μ^,μk)≤2B (Step 5b) and the comparison and linearity of convergent series, and the last step uses ∑kck≤τ and 0≤B; likewise ∥q′∗∥ν^≤4τB. Put
φ=2αφ0+χ,ψ=(−2α)ψ0+(−1)χ′.
By Squared Noise Wasserstein Distances, Their Convergent Series and Linear Combinations are Noise Intrinsic Test Functions §linear these are noise intrinsic test functions on D, with
q1:=∇φ(μ^)=α(id−S)+q∗,q2:=∇ψ(ν^)=α(S′−id)−q′∗,
using −α(id−S′)=α(S′−id) in L2(ν^;Xa).
Step 5d (Touching). For (μ,ν)∈D×D the series ∑kck(W(μ,μk)2+W(ν,νk)2) has sum χ(μ)+χ′(ν) by Elementary Properties of Series of Real Numbers §linearity, so
Φ(μ,ν)=uδ−(μ)−vδ+(ν)−2αW(μ,ν)2−χ(μ)−χ′(ν).
Taking ν=ν^, Step 5b gives Φ(μ,ν^)≤Φ(μ^,ν^) for every μ∈D, that is, uδ−(μ)−φ(μ)≤uδ−(μ^)−φ(μ^) after cancelling vδ+(ν^)+χ′(ν^); so the function with value uδ−(μ)−φ(μ) has a local maximum at μ^ relative to D (with radius 1). Taking μ=μ^ and using W(μ^,ν)=W(ν,μ^) (The Noise Wasserstein Distance is a Metric on the Measures Noise-Connected to the Reference Measure: Existence of Noise-Optimal Couplings, Comparison with the Quadratic Wasserstein Distance and Lower Semicontinuity §symmetry), Φ(μ^,ν)≤Φ(μ^,ν^) for every ν∈D reads vδ+(ν^)−ψ(ν^)≤vδ+(ν)−ψ(ν); so the function with value vδ+(ν)−ψ(ν) has a local minimum at ν^ relative to D.
Step 5e (Exact inequalities). By Basic Properties of the Delta-Envelopes on the Noise Wasserstein Space, and the Envelopes of Bounded Functions for a Noise-Closed Penalty Pair §growth, u has penalty-subordinate growth from above and v from below; the pair is noise-closed with closed score along noise couplings, F satisfies the shift-coercivity and shift-semicontinuity conditions, 0<δ<1, u is a viscosity subsolution and v a viscosity supersolution. So Exact Inequalities at a Touching Point of a Penalised Viscosity Subsolution or Supersolution on the Noise Wasserstein Space §subsolution with φ and Exact Inequalities at a Touching Point of a Penalised Viscosity Subsolution or Supersolution on the Noise Wasserstein Space §supersolution with ψ give μ^,ν^∈DΣ and, with r1=uδ−(μ^) and r2=vδ+(ν^),
Fδ−(μ^,r1,q1)≤0≤Fδ+(ν^,r2,q2).(5a)
Step 5f (Bounds). As Ψ(μ^,ν^)=r1−r2−2αW(μ^,ν^)2, Step 5b and θ<M give
r1−r2≥Ψ(μ^,ν^)≥M−τ>θ−τ>0.(5b)
By Basic Properties of the Delta-Envelopes on the Noise Wasserstein Space, and the Envelopes of Bounded Functions for a Noise-Closed Penalty Pair §bounded, r1≤b−δE(μ^)≤b−δe0≤∣b∣+∣e0∣ and r2≥b′+δE(ν^)≥−∣b′∣−∣e0∣, using δ∈J; with r2<r1 this gives −A<r2<r1<A. By Bounds, Monotonicity and Borwein-Preiss Perturbed Maximisers of the Doubled Difference in the Noise Wasserstein Distance for a Noise-Closed Penalty Pair §bounds and (5b), 0<Ψ(μ^,ν^)≤b−b′−δ(E(μ^)+E(ν^)), so δE(μ^)<b−b′−δE(ν^)≤b−b′−δe0<A, while δE(μ^)≥δe0≥−∣e0∣>−A; thus δ∣E(μ^)∣<A and likewise δ∣E(ν^)∣<A. Also ∣E(μ^)∣≤∣e0∣+∣K∣ and ∣E(ν^)∣≤∣e0∣+∣K∣, since e0≤E≤K at both points. By The Noise-Optimal Map: Transport Cost, Stability Along Nearly Optimal Couplings and Stability Under Perturbation of the Source §cost, ∥S−id∥μ^2=W(μ^,ν^)2; by the scaling identity of The Norm Metric of a Real Inner Product Space: Triangle Inequalities, Limits and Continuity §metric in the real Hilbert space L2(μ^;Xa), ∥α(id−S)∥μ^=α∥S−id∥μ^, and claim 3 of Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field gives ∥S−id∥μ^=W(μ^,ν^), so
∥α(id−S)∥μ^=αW(μ^,ν^)≤2αB,
and likewise ∥α(S′−id)∥ν^=αW(ν^,μ^)≤2αB. By The Norm Metric of a Real Inner Product Space: Triangle Inequalities, Limits and Continuity §triangle, Step 5c and τ<1, ∥q1∥μ^≤(2α+4)B<R and ∥q2∥ν^<R, while ∥q1−α(id−S)∥μ^=∥q∗∥μ^≤4τB<γ and ∥q2−α(S′−id)∥ν^=∥q′∗∥ν^<γ.
Step 5g (Score bounds). The triples ξ=(μ^,r1,q1) and ζ=(ν^,r2,q2) are test data for F, as μ^,ν^∈DΣ. By Steps 5b and 5f each is R-bounded: the W-distances to ρ are at most B<R, the penalties have absolute value at most ∣e0∣+∣K∣<R, ∣r1∣,∣r2∣<A<R, and the fields have norm below R. By (5a), Fδ−(ξ)−Fδ+(ζ)≤0<R, so ξ∈Sδ,R− and ζ∈Sδ,R+ (Test Data for a First-Order Equation Operator on the Noise Wasserstein Space and the Admissible Sets §admissible), each witnessing the other. As C is a score bound at (δ,R) (The Shift-Coercivity Condition for a First-Order Equation Operator on the Noise Wasserstein Space §bound), ∥Σ(μ^)∥μ^≤C≤Rˉ and ∥Σ(ν^)∥ν^≤Rˉ.
Step 5h (Removing the perturbation of the momentum). By the choice of γ in Step 5a (First-Order Equation Operators on the Noise Wasserstein Space with Momentum-Continuous Shifts §momentum), applied at μ^ with r1, q=q1 and q′=α(id−S), all of which satisfy the bounds there by Steps 5f and 5g (∣r1∣<A≤Rˉ, both fields of norm below R≤Rˉ, their difference of norm below γ, ∥Σ(μ^)∥μ^≤Rˉ), and then at ν^ with r2, q=q2 and q′=α(S′−id), (5a) gives
Fδ−(μ^,r1,α(id−S))<κ,−κ<Fδ+(ν^,r2,α(S′−id)).(5c)
Step 5i (Properness). By The Bundle of Noise Fields over a Set of Measures, First-Order Equation Operators on the Noise Wasserstein Space, and Their Delta-Shifts §shifted, Fδ−(μ^,r,α(id−S)) is F evaluated at μ^, r+δE(μ^) and α(id−S)+δΣ(μ^) for every r∈R, the first and last arguments not depending on r, and (μ^,α(id−S)+δΣ(μ^))∈Va(DΣ). By (5b) and Step 5f, r2+δE(μ^)≤r1+δE(μ^) and both have absolute value below A+A=R0, so the properness constant λ at R0 (Locally Strictly Proper First-Order Equation Operators on the Noise Wasserstein Space §constant) gives
λ(r1−r2)≤Fδ−(μ^,r1,α(id−S))−Fδ−(μ^,r2,α(id−S)).(5d)
Step 5j (The structure condition). We have 1<α, 0<δ<1, μ^,ν^∈DΣ with both ordered pairs (μ^,ν^) and (ν^,μ^) uniquely noise-mapped (Step 5c), S and S′ noise-optimal maps between them, δ(∣E(μ^)∣+∣E(ν^)∣)<2A=R0 and −R0≤r2≤R0 (Step 5f). So The First-Order Structure Condition at Uniquely Noise-Mapped Pairs §pair, for the pair (ω1,ω2) at R0 with the value slot r2, gives, writing Ω1=ω1(αW(μ^,ν^)2+α−1) and Ω2=ω2(δ(∣E(μ^)∣+∣E(ν^)∣+1),α),
−Ω1−Ω2≤Fδ−(μ^,r2,α(id−S))−Fδ+(ν^,r2,α(S′−id)).
Adding this to (5d) and using (5c),
λ(r1−r2)≤Fδ−(μ^,r1,α(id−S))−Fδ+(ν^,r2,α(S′−id))+Ω1+Ω2<2κ+Ω1+Ω2.(5e)
Step 5k (The first modulus). By (1d) with α′=2α, whose coefficient is 4α, applied to (μ^,ν^) (admissible by Step 5b), then G(2α,δ)≤N(2α), (4a), η2≤η1, (3a) and τ≤η1,
4αW(μ^,ν^)2≤G(2α,δ)−G(α,δ)+τ<N(2α)−N(α)+η2+τ<3η1,
so αW(μ^,ν^)2<12η1<t1/2, and with α−1<t1/2 (Step 3) the argument of ω1 lies in [0,t1]; hence Ω1≤κ.
Step 5l (The second modulus). By (1c) with δ′=2δ∈J, applied to (μ^,ν^), then G(α,2δ)≤N(α) and (4a),
2δ(E(μ^)−e0+E(ν^)−e0)≤G(α,2δ)−G(α,δ)+τ<η2+τ≤8t2+8t2.
As E(μ^)−e0≥0, the triangle inequality for ∣⋅∣ applied to E(μ^)=(E(μ^)−e0)+e0 gives ∣E(μ^)∣≤E(μ^)−e0+∣e0∣, and likewise for ν^. Multiplying by the positive δ and using δ(2∣e0∣+1)<t2/4 (Step 4),
δ(∣E(μ^)∣+∣E(ν^)∣+1)≤δ(E(μ^)−e0+E(ν^)−e0)+δ(2∣e0∣+1)<2t2+4t2<t2,
and the argument is positive; hence Ω2≤κ.
Step 5m (Contradiction). By (5e), Steps 5k and 5l, λ(r1−r2)<4κ. By (5b) and 0<λ, λ(θ−τ)<λ(r1−r2), and λτ≤κ (Step 5a), so λθ<λτ+4κ≤5κ=85λθ, that is 83λθ<0, contradicting 0<λθ. Therefore M(δ,α)≤θ. For μ∈D, since W(μ,μ)=0 (The Noise Wasserstein Distance is a Metric on the Measures Noise-Connected to the Reference Measure: Existence of Noise-Optimal Couplings, Comparison with the Quadratic Wasserstein Distance and Lower Semicontinuity §separation),
uδ−(μ)−vδ+(μ)=Ψδ,α(μ,μ)≤M(δ,α)≤θ.
As δ with 0<δ<δ0 was arbitrary, this is claim 1 (comparison of the envelopes) of the present theorem.
Step 6 (Claim 2). Let μ∈D and let θ be positive; let δ0 be as in claim 1 for θ, and let δ be half the least of δ0 and θ(2∣E(μ)∣+1)−1, so that 0<δ<δ0 and 2δ∣E(μ)∣≤θ. Since u has penalty-subordinate growth from above and v from below (Step 5e), Basic Properties of the Delta-Envelopes on the Noise Wasserstein Space, and the Envelopes of Bounded Functions for a Noise-Closed Penalty Pair §semicontinuity gives u(μ)−δE(μ)≤uδ−(μ) and vδ+(μ)≤v(μ)+δE(μ), so by claim 1 (comparison of the envelopes) of the present theorem
u(μ)−v(μ)=(u(μ)−δE(μ))−(v(μ)+δE(μ))+2δE(μ)≤uδ−(μ)−vδ+(μ)+2δ∣E(μ)∣≤2θ.
As θ was arbitrary, u(μ)−v(μ)≤0 by Comparison of Real Numbers with Arbitrary Positive Slack §slack-above, that is u(μ)≤v(μ); this is claim 2 (comparison) of the present theorem.