Reason: Initial published proof: block-decomposition identities, Taylor linearization error, completion of squares via the weighted second-moment identity with the Riccati density, and the three a priori displays including the u-driven Gronwall bound.
Proof
Throughout we use the measurability conventions of Step 0 of the cost expansion theorem's proof: every integrand below becomes product-measurable after multiplication by the indicator of the regular event Ω0 (via the joint measurability lemma, the modified state-control map, and compositions with sequentially continuous functions), expectations are unaffected since Ω0 has probability 1, and the Tonelli and Fubini theorems apply on the product of two finite measure spaces. Write qs=∣ss∣2+∣as∣2. Recall ∣ss∣≤2N everywhere and, by part (c) of the a priori second-moment bound with A<∞, suptE[∣st∣2]<∞, so ∫[0,T]E[qs]ds<∞.
Part (a). Symmetry of Qt,Rt,F^ is immediate from the symmetrized definitions. For the quadratic-form identities, split the sum over i,j∈{1,…,l+m} into the four index blocks and use zizj=zjzi: the state-state block contributes 21∑γ,δHγδxγxδ=∑γ,δ41(Hγδ+Hδγ)xγxδ=x⋅Qtx; the two mixed blocks contribute 21∑γ,j(Hγ,l+j+Hl+j,γ)xγaj=x⋅Vta; the control-control block contributes a⋅Rta in the same way; and the terminal identity is the state-state computation with F in place of H. Under (H1), Rt is symmetric with a⋅Rta≥r∣a∣2>0 for a=0, hence positive definite and invertible. Continuity in t: the entries of Et,Bt are compositions of the continuous partials of bˉ (part (i) of the drift regularity lemma) with the continuous trajectory pair; each Hij of the fluctuation linear-quadratic cost is continuous on [0,T], being a composition of the continuous second partials of Lˉ (clause 2 of the cost extension) and of bˉ (part (i) of the drift regularity lemma) with the continuous trajectory pair and the continuous co-state, so the entries of Qt,Vt,Rt are continuous; t↦Rt−1 has continuous entries by the continuity of the inverse of a continuous matrix function; and entries of Zt are continuous by (H2), so those of Wt and Rt−1WtT are finite sums of products of continuous functions. Each entry is therefore bounded, so CZ and CK exist.
Part (b). Fix (s,ω) and δ∈{1,…,l}. The segment from (Ss,As) to (Σs,αs) lies in Δl×Rm⊆U×Rm: a convex combination of the simplex points Ss and Σs has nonnegative entries summing to 1, and the control coordinates are unconstrained. Along it ∣∂j∂ibˉδ∣≤3lK by part (iii) of the drift regularity lemma. Part (ii) of the Taylor expansion lemma (its second-order regularity hypothesis holding by part (i) of the drift regularity lemma), with n=l+m, M2=3lK, and increment ws=N−1/2(ss,as), gives
using also the restriction clause of the drift regularity lemma to write b for bˉ on the simplex product. Multiplying by N and noting N∑i∂ibˉδ(Ss,As)wsi=(Esss+Bsas)δ and N∣ws∣2=qs, the δ-th component of es is bounded by 23l(l+m)KN−1/2qs; summing squares over the l components gives ∣es∣≤l⋅23l(l+m)KN−1/2qs=ceN−1/2qs.
By part (a) and the definition of the fluctuation linear-quadratic cost together with the Fubini theorem (each of the three groups is absolutely integrable: ∣E[s⋅Qs]∣, ∣E[s⋅Va]∣, ∣E[a⋅Ra]∣ are all bounded by constant multiples of E[qs], whose time integral is finite),
Now substitute gs=Esss+Bsas+es and the Riccati density of (H2) into the integrand of (∗). Pointwise on [0,T]×Ω, using the symmetry of Zs (so that 2x⋅Z(Ex)=x⋅(ETZ+ZE)x for every x):
s⋅z˙s+2s⋅Zg=s⋅(WR−1WT)s−s⋅Qs+2s⋅ZBa+2s⋅Ze.
Adding the integrand s⋅Qs+s⋅Va+a⋅Ra of LQG and using 2s⋅ZBa+s⋅Va=2s⋅Wa,
the last step by expanding u⋅Ru with u=a+R−1WTs and the symmetry of R (the cross terms give 2a⋅WTs=2s⋅Wa and the square term gives s⋅WR−1WTs, using RR−1=I and (R−1)T=R−1 for symmetric invertible R, from invertibility of symmetric positive definite matrices). Taking expectations and integrating in time (every displayed term is absolutely integrable: E[∣u⋅Ru∣] is bounded by a constant multiple of E[qs] since ∣us∣2≤2∣as∣2+2mlCK2∣ss∣2 by the row-wise Cauchy-Schwarz estimate ∣R−1WTs∣2≤mlCK2∣s∣2; and ∣2E[s⋅Ze]∣≤2lCZE[∣s∣∣e∣]≤4lCZceE[qs] by part (b) and N−1/2∣ss∣≤2), then adding the two displays and cancelling E[sT⋅F^sT] yields the identity of (c).
Part (d). By (H1), pointwise us⋅Rsus≥r∣us∣2, so r∫E[∣us∣2]ds≤∫E[us⋅Rsus]ds. Solve the identity of (c) for ∫E[us⋅Rsus]ds and insert the expansion identity of part (c) of the cost expansion theorem, rewritten as LQG[(s),(a)]=N(JN[h]−JMF)+∑γP0γζNγ−RN. This gives
and the first display of (d) follows by bounding each subtracted term in absolute value: ∣∑γP0γζNγ∣≤∑γ∣P0γ∣∣ζNγ∣; ∣x⋅Z0x∣≤CZ(∑γ∣xγ∣)2≤lCZ∣x∣2 (the elementary inequality (∑∣xγ∣)2≤l∣x∣2, as in the Taylor lemma's proof), so ∣E[s0⋅Z0s0]∣≤lCZE[∣s0∣2]; ∣∑γ,δZsγδE[Θγδ]∣≤l2CZ⋅2(l−1)B by the pathwise bound on Θγδ from part (a) of the martingale decomposition theorem; and ∣2E[ss⋅Zses]∣≤2lCZE[∣ss∣∣es∣]≤2lCZceN−1/2E[∣ss∣qs] by part (b).
For the second display: as=us−Rs−1WsTss, so ∣as∣2≤2∣us∣2+2∣Rs−1WsTss∣2≤2∣us∣2+2mlCK2∣ss∣2, where for each of the m rows the Cauchy-Schwarz inequality gives (∑γ(R−1WT)jγsγ)2≤lCK2∣s∣2; integrating proves A≤2∫E[∣us∣2]ds+2mlCK2∫E[∣ss∣2]ds.
For the third display: by part (ii) of the drift regularity lemma (as in the proof of the a priori second-moment bound), ∑γ(gsγ)2≤Λ2(∣ss∣2+∣as∣2)≤Λ2((1+2mlCK2)∣ss∣2+2∣us∣2)≤Λ^2(∣ss∣2+2∣us∣2), using the bound on ∣as∣2 just derived and Λ^2=Λ2(1+2mlCK2)≥Λ2. Let v(t)=E[∣st∣2], measurable and bounded by 4N (part (a) of the a priori second-moment bound), and U=∫[0,T]E[∣us∣2]ds, finite by the second display, A<∞, and suptv<∞; s↦E[∣us∣2] is measurable by the Tonelli theorem, the map u being, after multiplication by the indicator of Ω0, a continuous-matrix combination of the product-measurable a and s. Part (b) of the a priori second-moment bound (the three-term estimate) together with the display above gives, for every t∈[0,T],