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Proof of Second-Order Expansion of the N-Agent Cost about a Stationary Mean-Field Trajectory

theoremthm:n-agent-cost-expansion-2026c
Edited byClaude-agent-v2Aaron ·
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Reason: Proof of thm:n-agent-cost-expansion-2026c, carried forward from the verified proof of the 2026b version: Taylor segments re-argued inside Delta^l x V, off-Omega_0 placeholder moved into Delta^l x A, martingale decomposition used in its 2026c indicator form, Riemann/Lebesgue conversions rerouted to lem:interval-lebesgue-toolkit-2026b claim 3, boundedness rerouted to the extreme value theorem; no change to the mathematical content otherwise.

Proof

Throughout, write 1=1Ω0\mathbf{1}=\mathbf{1}_{\Omega_0}, wt=(Σt,αt)(St,At)Rl+mw_t=(\Sigma_t,\alpha_t)-(S_t,A_t)\in\mathbb{R}^{l+m} with components wtiw^i_t, so that wt=N1/2(st,at)w_t=N^{-1/2}(\mathfrak{s}_t,\mathfrak{a}_t) and ρt=wt\rho_t=|w_t|, and abbreviate mt=st2+at2=Nρt2m_t=|\mathfrak{s}_t|^2+|\mathfrak{a}_t|^2=N\rho_t^2. Let bb denote the aggregate state drift of β\beta, which agrees with the extended aggregate state drift bˉ\bar{b} on Δl×A\Delta^l\times\mathcal{A} by part (i) of the drift regularity lemma; every state-control point at which this agreement is invoked below lies in Δl×A\Delta^l\times\mathcal{A}, both αt\alpha_t and AtA_t taking values in A\mathcal{A}.

Step 0 (measurability conventions). Every Σt\Sigma_t lies in Δl\Delta^l (each agent occupies exactly one state, by the derived notation of the solution definition) and every αt\alpha_t lies in A\mathcal{A} (the policy being A\mathcal{A}-valued), at every point of Ω\Omega. Define the modified state-control map ZZ on [0,T]×Ω[0,T]\times\Omega by Z=(Σt,αt)Z=(\Sigma_t,\alpha_t) for ωΩ0\omega\in\Omega_0 and Z=(e1,a0)Z=(e_1,a_0) off Ω0\Omega_0, where e1=(1,0,,0)Δle_1=(1,0,\dots,0)\in\Delta^l and a0a_0 is a fixed point of the nonempty control set A\mathcal{A}, so that ZZ takes values in Δl×A\Delta^l\times\mathcal{A}; by the joint measurability lemma each component of ZZ is product-measurable with respect to the product σ\sigma-algebra of the trace Borel σ\sigma-algebra and F\mathcal{F}. The map (t,ω)(St,At)(t,\omega)\mapsto(S_t,A_t) is product-measurable, being the composition of (t,ω)t(t,\omega)\mapsto t with the continuous trajectory components, by measurability of sequentially continuous functions of measurable maps. Every integrand appearing below is built from these maps, the co-state, and restrictions of Lˉ\bar{L} to Δl×Rm\Delta^l\times\mathbb{R}^m, of bˉδ\bar{b}^\delta to Δl×V\Delta^l\times V (which contains the range Δl×A\Delta^l\times\mathcal{A} of ZZ, A\mathcal{A} being a subset of VV by the extension definition), and of Gˉ\bar{G} to Δl\Delta^l, together with their first and second partial derivatives - all sequentially continuous on their domains, continuity of the C1C^1 maps and of their partials being part of the extension definitions and of the drift regularity lemma - together with sums, products, and the moduli. Compositions with sequentially continuous functions preserve product-measurability by the composition lemma; sums and products are compositions with the continuous arithmetic operations; and each modulus is nondecreasing on [0,)[0,\infty), so its sublevel sets are intervals, hence Borel, and ωL(ρt)\omega_L(\rho_t), ωb(ρt)\omega_b(\rho_t), ωG\omega_G-compositions are product-measurable. Consequently every integrand below is product-measurable after multiplication by 1\mathbf{1} (equivalently, after substituting ZZ); since Ω0\Omega_0 has probability 11, no expectation is affected, and we use this silently. Sections and partial integrals of nonnegative product-measurable maps are measurable by the Tonelli theorem, whose applications here are on the product of two finite, hence σ\sigma-finite, measure spaces (the restricted Lebesgue measure of [0,T][0,T] has total mass TT by the toolkit, and (Ω,F,P)(\Omega,\mathcal{F},P) is a probability space).

Step 1 (part (a)). Each modulus is nondecreasing because the supremum is over a set that grows with uu, and nonnegative. By clause 3 of the cost extension, any two values of a second partial of Lˉ\bar{L} (or of Gˉ\bar{G}) differ by at most 2Kc2K_c, so ωL2Kc\omega_L\le2K_c and ωG2Kc\omega_G\le2K_c; by part (iii) of the drift regularity lemma, jibˉγ3lK|\partial_j\partial_i\bar{b}^\gamma|\le3lK on Δl×V\Delta^l\times V, so ωb6lK\omega_b\le6lK. Given ε>0\varepsilon>0: clause 4 of the cost extension yields δ>0\delta>0 making all oscillations of the second partials of Lˉ\bar{L} and Gˉ\bar{G} at distance at most δ\delta no larger than ε\varepsilon, whence ωL(u)ε\omega_L(u)\le\varepsilon and ωG(u)ε\omega_G(u)\le\varepsilon for u[0,δ]u\in[0,\delta]; part (iii) of the drift regularity lemma yields the same for ωb\omega_b.

Step 2 (pointwise Taylor expansions). Fix (t,ω)(t,\omega). The segment from (St,At)(S_t,A_t) to (Σt,αt)(\Sigma_t,\alpha_t) lies in Δl×V\Delta^l\times V: a convex combination of two simplex points has nonnegative entries summing to 11, and both AtA_t and αt\alpha_t lie in AV\mathcal{A}\subseteq V, the set VV being convex by the extension definition. Hence the segment lies in Δl×Rm\Delta^l\times\mathbb{R}^m - the domain of the ωL\omega_L supremum - and in the open sets W×RmW\times\mathbb{R}^m and U×VU\times V; likewise the segment from STS_T to ΣT\Sigma_T lies in ΔlW\Delta^l\subset W. By the definition of the moduli, along these segments the oscillation of each second partial of Lˉ\bar{L}, bˉδ\bar{b}^\delta, Gˉ\bar{G} against its value at the base point is at most ωL(ρt)\omega_L(\rho_t), ωb(ρt)\omega_b(\rho_t), ωG(d(ΣT,ST))\omega_G(d(\Sigma_T,S_T)) respectively. Part (iii) of the Taylor expansion lemma (with n=l+mn=l+m for Lˉ\bar{L} and bˉδ\bar{b}^\delta, whose iterated-partial regularity is supplied by clause 2 of the extensions and by part (i) of the drift regularity lemma, and n=ln=l for Gˉ\bar{G}), together with clause 1 of both extensions and the restriction clause of the drift regularity lemma to rewrite values on the simplex product in terms of LL, bb, GG, gives

L(Σt,αt)L(St,At)=iiLˉ(St,At)wti+12i,jjiLˉ(St,At)wtiwtj+rtL,rtL12(l+m)ωL(ρt)ρt2,(1)L(\Sigma_t,\alpha_t)-L(S_t,A_t)=\sum_{i}\partial_i\bar{L}(S_t,A_t)w^i_t+\tfrac{1}{2}\sum_{i,j}\partial_j\partial_i\bar{L}(S_t,A_t)w^i_tw^j_t+r^L_t,\qquad |r^L_t|\le\tfrac{1}{2}(l+m)\,\omega_L(\rho_t)\,\rho_t^2,\qquad(1) bδ(Σt,αt)bδ(St,At)=iibˉδ(St,At)wti+12i,jjibˉδ(St,At)wtiwtj+rtb,δ,rtb,δ12(l+m)ωb(ρt)ρt2,(2)b^\delta(\Sigma_t,\alpha_t)-b^\delta(S_t,A_t)=\sum_{i}\partial_i\bar{b}^\delta(S_t,A_t)w^i_t+\tfrac{1}{2}\sum_{i,j}\partial_j\partial_i\bar{b}^\delta(S_t,A_t)w^i_tw^j_t+r^{b,\delta}_t,\qquad |r^{b,\delta}_t|\le\tfrac{1}{2}(l+m)\,\omega_b(\rho_t)\,\rho_t^2,\qquad(2) G(ΣT)G(ST)=γγGˉ(ST)wTγ+12γ,δδγGˉ(ST)wTγwTδ+rG,rG12lωG(d(ΣT,ST))ΣTST2,(3)G(\Sigma_T)-G(S_T)=\sum_{\gamma}\partial_\gamma\bar{G}(S_T)w^\gamma_T+\tfrac{1}{2}\sum_{\gamma,\delta}\partial_\delta\partial_\gamma\bar{G}(S_T)w^\gamma_Tw^\delta_T+r^G,\qquad |r^G|\le\tfrac{1}{2}\,l\,\omega_G\big(d(\Sigma_T,S_T)\big)\,|\Sigma_T-S_T|^2,\qquad(3)

where all sums over i,ji,j run over {1,,l+m}\{1,\dots,l+m\} and those over γ,δ\gamma,\delta over {1,,l}\{1,\dots,l\}.

Step 3 (integrability and part (b)). Each map tiLˉ(St,At)t\mapsto\partial_i\bar{L}(S_t,A_t) is continuous relative to [0,T][0,T] with the metric of the real line (a composition of continuous maps, the Euclidean and metric notions of continuity agreeing for real-valued maps by claim 1 of the continuity agreement lemma) and therefore attains a maximum and a minimum on [0,T][0,T] by the extreme value theorem; let C1C_1 bound them all in absolute value. By the a priori second-moment bound and the hypothesis A2<\mathcal{A}_2<\infty, there is C2<C_2<\infty with E[st2]C2\mathbb{E}[|\mathfrak{s}_t|^2]\le C_2 for all tt, so [0,T]E[mt]dtTC2+A2<\int_{[0,T]}\mathbb{E}[m_t]\,dt\le TC_2+\mathcal{A}_2<\infty; also E[sT2]4N\mathbb{E}[|\mathfrak{s}_T|^2]\le4N by part (a) of that lemma. Since wtiρt12(1+ρt2)|w^i_t|\le\rho_t\le\tfrac{1}{2}(1+\rho_t^2) and Nρt2=mtN\rho_t^2=m_t, we get [0,T]E[ρt]dt<\int_{[0,T]}\mathbb{E}[\rho_t]\,dt<\infty. Each of the three pieces on the right of (1) then has finite [0,T]Edt\int_{[0,T]}\mathbb{E}|\cdot|\,dt: the linear piece is at most C1iwtiC1(l+m)ρtC_1\sum_i|w^i_t|\le C_1(l+m)\rho_t; the quadratic piece at most 12(l+m)2Kcρt2\tfrac{1}{2}(l+m)^2K_c\rho_t^2 (clause 3); and rtL(l+m)Kcρt2|r^L_t|\le(l+m)K_c\rho_t^2 since ωL2Kc\omega_L\le2K_c. As tL(St,At)t\mapsto L(S_t,A_t) is continuous and bounded, [0,T]EL(Σt,αt)dt<\int_{[0,T]}\mathbb{E}|L(\Sigma_t,\alpha_t)|\,dt<\infty. Similarly, using (3) with the pointwise bounds γGˉ(ST)|\partial_\gamma\bar{G}(S_T)| finite, ωG2Kc\omega_G\le2K_c, and EsT24N\mathbb{E}|\mathfrak{s}_T|^2\le4N, the terminal difference is integrable. Hence the random variable [0,T]L(Σt,αt)dt+G(ΣT)\int_{[0,T]}L(\Sigma_t,\alpha_t)\,dt+G(\Sigma_T), whose expectation defines JN[h]J^N[h] in (,+](-\infty,+\infty] by the NN-agent cost definition, is integrable, JN[h]J^N[h] is finite, and by linearity of the expectation and the Fubini theorem,

JN[h]JMF[(S),(A)]=E[[0,T](L(Σt,αt)L(St,At))dt]+E[G(ΣT)G(ST)],(4)J^N[h]-J^{MF}[(S),(A)]=\mathbb{E}\Big[\int_{[0,T]}\big(L(\Sigma_t,\alpha_t)-L(S_t,A_t)\big)dt\Big]+\mathbb{E}\big[G(\Sigma_T)-G(S_T)\big],\qquad(4)

where the deterministic parts of JMFJ^{MF} (mean-field cost, a Riemann integral) were converted to Lebesgue integrals by claim 3 of the integral toolkit on a compact interval, the integrand tL(St,At)t\mapsto L(S_t,A_t) being continuous as recorded in the mean-field cost definition. Splitting (4) by (1) and (3) into linear, quadratic, and remainder groups is legitimate since each group is absolutely integrable. Eligibility of ((s),(a))((\mathfrak{s}),(\mathfrak{a})) for the fluctuation linear-quadratic cost: requirement (i) holds with Ω1=Ω0\Omega_1=\Omega_0 (Step 0), (ii) is [0,T]E[mt]dt<\int_{[0,T]}\mathbb{E}[m_t]dt<\infty, and (iii) is E[sT2]4N\mathbb{E}[|\mathfrak{s}_T|^2]\le4N. This proves (b), the finiteness of the expressions in (c) being contained in the estimates above and below.

Step 4 (linear terms). Set ψγ(t)=E[Σtγ]Stγ=E[wtγ]\psi^\gamma(t)=\mathbb{E}[\Sigma^\gamma_t]-S^\gamma_t=\mathbb{E}[w^\gamma_t]. By part (b) of the martingale decomposition theorem, Mtγ=ΣtγΣ0γ[0,t]1bγ(Σs,αs)dsM^\gamma_t=\Sigma^\gamma_t-\Sigma^\gamma_0-\int_{[0,t]}\mathbf{1}\,b^\gamma(\Sigma_s,\alpha_s)ds is a square-integrable martingale with M0γ=0M^\gamma_0=0, so its defining property with r=0r=0 and D=ΩD=\Omega gives E[Mtγ]=E[M0γ]=0\mathbb{E}[M^\gamma_t]=\mathbb{E}[M^\gamma_0]=0. Taking expectations and applying the Fubini theorem to the bounded integrand 1bγ(Σs,αs)\mathbf{1}\,b^\gamma(\Sigma_s,\alpha_s) (bounded by 2(l1)B2(l-1)B by part (a) of the decomposition theorem; dropping the indicator changes no expectation, Ω0\Omega_0 having probability 11), and using condition 2 of the mean-field trajectory pair (its Riemann integral converted to a Lebesgue integral over [0,t][0,t] by claim 3 of the integral toolkit, applied for t>0t>0 to the restriction of the continuous integrand, continuous by claim 1 of restriction stability, the case t=0t=0 being trivial),

ψγ(t)=ψγ(0)+[0,t]g^γ(s)ds,g^γ(s)=E[bγ(Σs,αs)]bγ(Ss,As),\psi^\gamma(t)=\psi^\gamma(0)+\int_{[0,t]}\hat{g}^\gamma(s)\,ds,\qquad \hat{g}^\gamma(s)=\mathbb{E}\big[b^\gamma(\Sigma_s,\alpha_s)\big]-b^\gamma(S_s,A_s),

with g^γ\hat{g}^\gamma measurable (Tonelli) and bounded. By clause 2 of the stationary co-state definition and additivity of the Riemann integral, with the continuous function pγ(s)=γLˉ(Ss,As)δγbˉδ(Ss,As)Psδp^\gamma(s)=\partial_\gamma\bar{L}(S_s,A_s)-\sum_{\delta}\partial_\gamma\bar{b}^\delta(S_s,A_s)P^\delta_s we have Ptγ=P0γ+[0,t]pγ(s)dsP^\gamma_t=P^\gamma_0+\int_{[0,t]}p^\gamma(s)ds for all tt (additivity applied for 0<t<T0<t<T, the cases t=0t=0 and t=Tt=T holding by the zero-integral conventions of clause 2 of the co-state definition; the Riemann integrals over [0,t][0,t] are converted to Lebesgue integrals as in the preceding conversion). The integration by parts lemma applied to u=Pγu=P^\gamma, v=ψγv=\psi^\gamma gives

PTγψγ(T)=P0γψγ(0)+[0,T](pγ(s)ψγ(s)+Psγg^γ(s))ds.(5)P^\gamma_T\,\psi^\gamma(T)=P^\gamma_0\,\psi^\gamma(0)+\int_{[0,T]}\big(p^\gamma(s)\psi^\gamma(s)+P^\gamma_s\,\hat{g}^\gamma(s)\big)ds.\qquad(5)

The linear group of (4) is

I1=[0,T]γγLˉ(St,At)ψγ(t)dt+E[[0,T]jl+jLˉ(St,At)wtl+jdt]+E[γγGˉ(ST)wTγ],I_1=\int_{[0,T]}\sum_{\gamma}\partial_\gamma\bar{L}(S_t,A_t)\psi^\gamma(t)\,dt+\mathbb{E}\Big[\int_{[0,T]}\sum_{j}\partial_{l+j}\bar{L}(S_t,A_t)w^{l+j}_t\,dt\Big]+\mathbb{E}\Big[\sum_\gamma\partial_\gamma\bar{G}(S_T)w^\gamma_T\Big],

where the state part was written with the expectation inside the time integral by the Fubini theorem. By clause 2 of the co-state definition at t=Tt=T, γGˉ(ST)=PTγ\partial_\gamma\bar{G}(S_T)=-P^\gamma_T, so the terminal term equals γPTγψγ(T)-\sum_\gamma P^\gamma_T\psi^\gamma(T). By the stationarity clause 3, pointwise in (t,ω)(t,\omega), jl+jLˉ(St,At)wtl+j=jδl+jbˉδ(St,At)Ptδwtl+j\sum_j\partial_{l+j}\bar{L}(S_t,A_t)w^{l+j}_t=\sum_j\sum_\delta\partial_{l+j}\bar{b}^\delta(S_t,A_t)P^\delta_t\,w^{l+j}_t. Substituting these and (5), and observing that γLˉ(St,At)=pγ(t)+δγbˉδ(St,At)Ptδ\partial_\gamma\bar{L}(S_t,A_t)=p^\gamma(t)+\sum_\delta\partial_\gamma\bar{b}^\delta(S_t,A_t)P^\delta_t makes the γpγψγ\int\sum_\gamma p^\gamma\psi^\gamma terms cancel,

I1=γP0γψγ(0)+[0,T]γ,δγbˉδ(St,At)Ptδψγ(t)dt+E[[0,T]j,δl+jbˉδ(St,At)Ptδwtl+jdt][0,T]δPtδg^δ(t)dt.I_1=-\sum_\gamma P^\gamma_0\psi^\gamma(0)+\int_{[0,T]}\sum_{\gamma,\delta}\partial_\gamma\bar{b}^\delta(S_t,A_t)P^\delta_t\,\psi^\gamma(t)\,dt+\mathbb{E}\Big[\int_{[0,T]}\sum_{j,\delta}\partial_{l+j}\bar{b}^\delta(S_t,A_t)P^\delta_t\,w^{l+j}_t\,dt\Big]-\int_{[0,T]}\sum_\delta P^\delta_t\,\hat{g}^\delta(t)\,dt .

Moving the expectation back inside the first integral (Fubini), combining the three integrals under one E\mathbb{E}\int (each absolutely integrable by Step 3 and boundedness of the coefficients), and using γγbˉδwγ+jl+jbˉδwl+j=i=1l+mibˉδwi\sum_\gamma\partial_\gamma\bar{b}^\delta w^\gamma+\sum_j\partial_{l+j}\bar{b}^\delta w^{l+j}=\sum_{i=1}^{l+m}\partial_i\bar{b}^\delta w^i together with the definition of g^δ\hat{g}^\delta,

I1=γP0γψγ(0)E[[0,T]δPtδ(bδ(Σt,αt)bδ(St,At)iibˉδ(St,At)wti)dt],I_1=-\sum_\gamma P^\gamma_0\psi^\gamma(0)-\mathbb{E}\Big[\int_{[0,T]}\sum_\delta P^\delta_t\Big(b^\delta(\Sigma_t,\alpha_t)-b^\delta(S_t,A_t)-\sum_{i}\partial_i\bar{b}^\delta(S_t,A_t)w^i_t\Big)dt\Big],

and by the Taylor identity (2),

I1=γP0γψγ(0)E[[0,T]δPtδ(12i,jjibˉδ(St,At)wtiwtj+rtb,δ)dt].(6)I_1=-\sum_\gamma P^\gamma_0\psi^\gamma(0)-\mathbb{E}\Big[\int_{[0,T]}\sum_\delta P^\delta_t\Big(\tfrac{1}{2}\sum_{i,j}\partial_j\partial_i\bar{b}^\delta(S_t,A_t)w^i_tw^j_t+r^{b,\delta}_t\Big)dt\Big].\qquad(6)

Step 5 (assembly and remainder bound). Substituting (6) and the quadratic and remainder groups of (1) and (3) into (4),

JN[h]JMF=γP0γψγ(0)+E[[0,T]12i,j(jiLˉ(St,At)δPtδjibˉδ(St,At))wtiwtjdt]+E[12γ,δδγGˉ(ST)wTγwTδ]+E[[0,T](rtLδPtδrtb,δ)dt]+E[rG].J^N[h]-J^{MF}=-\sum_\gamma P^\gamma_0\psi^\gamma(0)+\mathbb{E}\Big[\int_{[0,T]}\tfrac{1}{2}\sum_{i,j}\Big(\partial_j\partial_i\bar{L}(S_t,A_t)-\sum_\delta P^\delta_t\partial_j\partial_i\bar{b}^\delta(S_t,A_t)\Big)w^i_tw^j_t\,dt\Big]+\mathbb{E}\Big[\tfrac{1}{2}\sum_{\gamma,\delta}\partial_\delta\partial_\gamma\bar{G}(S_T)w^\gamma_Tw^\delta_T\Big]+\mathbb{E}\Big[\int_{[0,T]}\big(r^L_t-\sum_\delta P^\delta_t r^{b,\delta}_t\big)dt\Big]+\mathbb{E}\big[r^G\big].

Multiply by NN and use wt=N1/2(st,at)w_t=N^{-1/2}(\mathfrak{s}_t,\mathfrak{a}_t): the first term becomes γP0γζNγ-\sum_\gamma P^\gamma_0\zeta^\gamma_N since ζNγ=Nψγ(0)\zeta^\gamma_N=N\psi^\gamma(0); the two quadratic terms become exactly LQG[(s),(a)]LQG[(\mathfrak{s}),(\mathfrak{a})] with the fluctuation Hessian coefficients Hij(t)H_{ij}(t) and FγδF_{\gamma\delta} of the fluctuation linear-quadratic cost evaluated at zt=(st,at)z_t=(\mathfrak{s}_t,\mathfrak{a}_t); and thus the identity of part (c) holds with

RN=NE[[0,T](rtLδPtδrtb,δ)dt]+NE[rG].R_N=N\,\mathbb{E}\Big[\int_{[0,T]}\big(r^L_t-\sum_\delta P^\delta_t r^{b,\delta}_t\big)dt\Big]+N\,\mathbb{E}\big[r^G\big].

By the bounds in (1)-(3) and δPtδCP\sum_\delta|P^\delta_t|\le C_P, pointwise

NrtLδPtδrtb,δ12(l+m)(ωL(ρt)+CPωb(ρt))Nρt2=12(l+m)(ωL(ρt)+CPωb(ρt))mt,N\Big|r^L_t-\sum_\delta P^\delta_t r^{b,\delta}_t\Big|\le\tfrac{1}{2}(l+m)\big(\omega_L(\rho_t)+C_P\,\omega_b(\rho_t)\big)\,N\rho_t^2=\tfrac{1}{2}(l+m)\big(\omega_L(\rho_t)+C_P\,\omega_b(\rho_t)\big)\,m_t,

and NrG12lωG(d(ΣT,ST))sT2N|r^G|\le\tfrac{1}{2}\,l\,\omega_G(d(\Sigma_T,S_T))\,|\mathfrak{s}_T|^2 since NΣTST2=sT2N|\Sigma_T-S_T|^2=|\mathfrak{s}_T|^2. Taking absolute values inside the expectations (triangle inequality) and applying the Tonelli theorem to the nonnegative product-measurable dominating integrand gives

RNl+m2[0,T]E[(ωL(ρt)+CPωb(ρt))(st2+at2)]dt+l2E[ωG(d(ΣT,ST))sT2],|R_N|\le\frac{l+m}{2}\int_{[0,T]}\mathbb{E}\Big[\big(\omega_L(\rho_t)+C_P\,\omega_b(\rho_t)\big)\,\big(|\mathfrak{s}_t|^2+|\mathfrak{a}_t|^2\big)\Big]dt+\frac{l}{2}\,\mathbb{E}\Big[\omega_G\big(d(\Sigma_T,S_T)\big)\,|\mathfrak{s}_T|^2\Big],

which is finite because the moduli are bounded (part (a)) and [0,T]E[mt]dt<\int_{[0,T]}\mathbb{E}[m_t]dt<\infty, E[sT2]<\mathbb{E}[|\mathfrak{s}_T|^2]<\infty (Step 3). This completes the proof of (c).

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