Reason: First publication: proof of the localized joint coercivity lemma.
Proof
Throughout fix t∈[0,T] and ω∈Ω, and write z0=(St,At) and z=(Σt,αt), points of Rl+m, with difference w=z−z0, whose first l components are ytγ=Σtγ−Stγ and whose last m components are αtj−Atj. By the solution definitionΣt∈Δl and αt∈A at every point of [0,T]×Ω, and (St,At)∈Δl×A by the trajectory-pair definition. Note Nw=zt=(st,at) by the definition of the fluctuation processes, so that N∣w∣2=∣zt∣2=∣st∣2+∣at∣2 and ∣w∣=ρt.
Step 0: standing facts.(F1) The segment {z0+τw:τ∈[0,1]} is contained in Δl×A: for τ∈[0,1] the point τΣt+(1−τ)St has nonnegative coordinates summing to 1, and ταt+(1−τ)At∈A because A is convex by hypothesis (A). By the cost and rate extension definitions Δl⊂Uc, Δl⊂U and A⊆V, so the segment lies in the open sets Uc×Rm and U×V, on which Lˉ and the bˉδ are of class C2 — for bˉδ by part (i) of the regularity of the extended aggregate state drift, for Lˉ by clause 2 of the cost extension definition. Every point of the segment lies within Euclidean distance ∣w∣=ρt of z0, since ∣(z0+τw)−z0∣=τ∣w∣≤∣w∣. (F2) The segment {ST+τ(ΣT−ST):τ∈[0,1]} lies in Δl, by the same coordinate computation as in (F1): for τ∈[0,1] the point τΣT+(1−τ)ST has nonnegative coordinates summing to 1, both ΣT and ST lying in Δl. Since Δl⊂Uc, on which Gˉ is of class C2 by clause 2 of the cost extension definition, and since ∣(ST+τ(ΣT−ST))−ST∣=τ∣ΣT−ST∣≤d(ΣT,ST), every point of that segment lies in Δl within distance d(ΣT,ST) of ST. (F3) By clause 3 of the stationary-triple definition (stationarity), ∂l+jLˉ(St,At)−∑δ=1lPtδ∂l+jbˉδ(St,At)=0 for every j∈{1,…,m}; that is, the partial derivatives of Ht in the last m coordinates vanish at z0. (F4)∑δ=1l∣Ptδ∣≤CP.
Step 1: proof of claim 1. Regard Ht as the function x↦Lˉ(x)−∑δ=1lPtδbˉδ(x) on the open set (Uc×Rm)∩(U×V), which contains the segment of (F1); it is of class C2 there as a finite linear combination of C2 functions, and its partial derivatives of orders one and two at any point are the corresponding combinations, by the Ck definition. In particular its second-order partial derivatives at z0 are exactly the fluctuation Hessian coefficientsHij(t)=∂j∂iLˉ(St,At)−∑δPtδ∂j∂ibˉδ(St,At).
Apply part (iii) of the multivariate Taylor lemma with n=l+m, x=z0, y=z along the segment of (F1), separately to f=Lˉ and to each f=bˉδ. For Lˉ the constant εˉ of that part may be taken to be ωL(ρt): every point z~ of the segment lies in Δl×A⊆Δl×Rm with d(z~,z0)≤ρt, so ∣∂j∂iLˉ(z~)−∂j∂iLˉ(z0)∣≤ωL(ρt) by the definition of ωL. Similarly for bˉδ with εˉ=ωb(ρt), the segment lying in Δl×V. Thus
and the same with Lˉ replaced by bˉδ and ωL by ωb. Multiplying the bˉδ estimates by −Ptδ, summing over δ, adding the Lˉ estimate, and using (F4) and the triangle inequality gives
By (F3) the first-order sum reduces to its first l terms, ∑γ=1l∂γHt(St,At)ytγ, so the expression inside the absolute value is exactly Dt−21∑i,jHij(t)wiwj. Multiplying through by N>0 and using Nw=zt, so that Nwiwj=ztiztj and N∣w∣2=∣zt∣2, yields the first display of claim 1.
For the second, apply part (iii) of the Taylor lemma with n=l to f=Gˉ on Uc along the segment of (F2), with εˉ=ωG(d(ΣT,ST)), legitimate by the definition of ωG since the segment lies in Δl within distance d(ΣT,ST) of ST; the second-order coefficients at ST are the Fγδ. This gives
the middle step using (JC) for the first term and claim 2 at u=ρt∈[0,ρ∗], together with ∣zt∣2≥0, for the second. Since ∣zt∣2=∣st∣2+∣at∣2, this is the asserted inequality, and dropping the nonnegative term 2cJ∣st∣2 gives the final sentence of claim 3.
Step 4: proof of claim 4. By claim 1 and the positive semidefiniteness of F in (JC), applied to the vector sT∈Rl,
which is the first display of claim 4. For the second, let ϵ>0 be real and apply part (a) of the second-order expansion theorem with the positive real number 2ϵ/l to obtain ρG∗>0 with ωG(u)≤2ϵ/l for all u∈[0,ρG∗]; then at every ω with d(ΣT,ST)≤ρG∗ the first display gives NDG≥−21l⋅(2ϵ/l)∣sT∣2=−ϵ∣sT∣2.
Step 5: proof of claim 5. Let t∈[0,T] and h∈Rm, and apply (JC) to the vector w=(0,h)∈Rl+m whose first l components vanish and whose last m components are those of h, so that ∣w∣=∣h∣. Since wi=0 for i≤l, only the indices i,j>l contribute, and writing i=l+i′, j=l+j′ with i′,j′∈{1,…,m},
the last equality being conclusion (b) of the quadratic growth lemma, which holds without any of the hypotheses (A), (H1), (U) and whose matrix Rt is formed from the same fluctuation Hessian coefficients Hij as here. Hypothesis (JC) therefore gives h⋅Rth≥cJ∣h∣2, which is hypothesis (H1) with r=cJ. The final sentence of claim 5 is then conclusion (d) of that lemma, applicable under (A) — assumed in the setting adopted here — together with (H1) and (U). ■