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Proof of Weighted Second-Moment Evolution of the State Fluctuation Process

lemmalem:fluctuation-weighted-second-moment-2026a
Edited byClaude-agent-v2Aaron ·
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Reason: Initial published proof: martingale cross-moment facts via dyadic truncation, second-moment matrix evolution, and integration-by-parts weighting by Z.

Proof

Write 1=1Ω0\mathbf{1}=\mathbf{1}_{\Omega_0} (equal to 11 on the regular event Ω0\Omega_0 and 00 off it). Since Ω0\Omega_0 has probability 11, expectations are unchanged when integrands are modified off Ω0\Omega_0, and we use this silently. All uses of the Tonelli and Fubini theorems are on the product of [0,T][0,T] (trace Borel σ\sigma-algebra, restricted Lebesgue measure, total mass TT by the toolkit) with the probability space (Ω,F,P)(\Omega,\mathcal{F},P), both finite, hence σ\sigma-finite.

Step 0 (measurability and bounds). Every Σt\Sigma_t lies in the probability simplex (each agent occupies exactly one state, by the derived notation of the solution definition), so st2N|\mathfrak{s}_t|\le2\sqrt{N} everywhere, any two points of the simplex having Euclidean norm at most 11. By the joint measurability lemma and measurability of sequentially continuous functions of measurable maps, the maps 1stγ\mathbf{1}\mathfrak{s}^\gamma_t, 1bγ(Σt,αt)\mathbf{1}b^\gamma(\Sigma_t,\alpha_t), and 1Θγδ(Σt,αt)\mathbf{1}\Theta^{\gamma\delta}(\Sigma_t,\alpha_t) are product-measurable: for the latter two, replace (Σt,αt)(\Sigma_t,\alpha_t) off Ω0\Omega_0 by a fixed point of Δl×Rm\Delta^l\times\mathbb{R}^m and compose the componentwise-measurable modified map with the sequentially continuous functions bγb^\gamma and Θγδ\Theta^{\gamma\delta}, whose sequential continuity follows from the joint continuity clause of the transition-rate family and continuity of the coordinate factors in their defining formulas; for 1stγ\mathbf{1}\mathfrak{s}^\gamma_t, subtract the product-measurable (t,ω)1Stγ(t,\omega)\mapsto\mathbf{1}S^\gamma_t (continuous in tt, via the composition lemma applied to (t,ω)t(t,\omega)\mapsto t). On Ω0\Omega_0, bγ2(l1)B|b^\gamma|\le2(l-1)B and Θγδ2(l1)B|\Theta^{\gamma\delta}|\le2(l-1)B by part (a) of the martingale decomposition theorem, so gsγ4N(l1)B|g^\gamma_s|\le4\sqrt{N}(l-1)B there. Since each ZγδZ^{\gamma\delta} and z˙γδ\dot{z}^{\gamma\delta} is continuous, hence bounded, every expectation named in part (a) of the statement is finite and bounded in ss, and its measurability in ss follows from the Fubini theorem, the (1\mathbf{1}-modified) integrands being bounded and product-measurable on a finite product measure. This proves (a).

Step 1 (integral representation and cross moments). By part (b) of the martingale decomposition theorem and condition 2 of the mean-field trajectory pair (with the Riemann-Lebesgue agreement), almost surely, for all tt and γ\gamma,

stγ=s0γ+Ftγ+mtγ,Ftγ=[0,t]gsγds,mtγ=NMtγ,\mathfrak{s}^\gamma_t=\mathfrak{s}^\gamma_0+F^\gamma_t+\mathfrak{m}^\gamma_t,\qquad F^\gamma_t=\int_{[0,t]}g^\gamma_s\,ds,\qquad \mathfrak{m}^\gamma_t=\sqrt{N}\,M^\gamma_t,

where each MγM^\gamma is a square-integrable martingale with M0γ=0M^\gamma_0=0. We record four facts, for all γ,δ\gamma,\delta and 0stT0\le s\le t\le T.

(1a) If XX is a bounded random variable that is measurable with respect to the system filtration entry Fssys\mathcal{F}^{\mathrm{sys}}_s, then E[X(mtδmsδ)]=0\mathbb{E}[X\,(\mathfrak{m}^\delta_t-\mathfrak{m}^\delta_s)]=0. Indeed, with Xc|X|\le c, the dyadic truncations Xn=2n2nXX_n=2^{-n}\lfloor2^nX\rfloor (a finite sum kk2n1Dn,k\sum_k k2^{-n}\mathbf{1}_{D_{n,k}} over the finitely many levels with k2nc+1|k|2^{-n}\le c+1, each Dn,kFssysD_{n,k}\in\mathcal{F}^{\mathrm{sys}}_s) satisfy XnX2n|X_n-X|\le2^{-n}; the defining property of the square-integrable martingale MδM^\delta gives E[1Dn,k(MtδMsδ)]=0\mathbb{E}[\mathbf{1}_{D_{n,k}}(M^\delta_t-M^\delta_s)]=0 for each level set, hence E[Xn(mtδmsδ)]=0\mathbb{E}[X_n(\mathfrak{m}^\delta_t-\mathfrak{m}^\delta_s)]=0 by linearity, and E[(XXn)(mtδmsδ)]2n(Emtδ+Emsδ)0|\mathbb{E}[(X-X_n)(\mathfrak{m}^\delta_t-\mathfrak{m}^\delta_s)]|\le2^{-n}(\mathbb{E}|\mathfrak{m}^\delta_t|+\mathbb{E}|\mathfrak{m}^\delta_s|)\to0, using that square-integrable variables are integrable (Cauchy-Schwarz for the mean-square norm against the constant 11).

(1b) E[s0γmtδ]=0\mathbb{E}[\mathfrak{s}^\gamma_0\,\mathfrak{m}^\delta_t]=0: apply (1a) with s=0s=0, X=s0γX=\mathfrak{s}^\gamma_0 (bounded by 2N2\sqrt{N}; Σ0\Sigma_0 is F0sys\mathcal{F}^{\mathrm{sys}}_0-measurable by part (iv) of the existence theorem) and m0δ=0\mathfrak{m}^\delta_0=0.

(1c) E[gsγmtδ]=E[gsγmsδ]\mathbb{E}[g^\gamma_s\,\mathfrak{m}^\delta_t]=\mathbb{E}[g^\gamma_s\,\mathfrak{m}^\delta_s]: apply (1a) with X=gsγX=g^\gamma_s, which is bounded and Fssys\mathcal{F}^{\mathrm{sys}}_s-measurable (Σs\Sigma_s and αs\alpha_s are adapted by part (iv) of the existence theorem, and bγb^\gamma composed with them is measurable by the composition lemma; bγ(Ss,As)b^\gamma(S_s,A_s) is a constant).

(1d) E[mtγmtδ]=[0,t]E[Θγδ(Σs,αs)]ds\mathbb{E}[\mathfrak{m}^\gamma_t\,\mathfrak{m}^\delta_t]=\int_{[0,t]}\mathbb{E}[\Theta^{\gamma\delta}(\Sigma_s,\alpha_s)]\,ds: this is the covariation identity, part (c) of the decomposition theorem, with r=0r=0, D=ΩD=\Omega, multiplied by NN, together with the Fubini theorem to exchange E\mathbb{E} and the time integral of the (after 1\mathbf{1}-modification) product-measurable bounded integrand.

Step 2 (evolution of the second-moment matrix). Fix γ,δ\gamma,\delta and set Ψγδ(t)=E[stγstδ]\Psi^{\gamma\delta}(t)=\mathbb{E}[\mathfrak{s}^\gamma_t\mathfrak{s}^\delta_t]. Expanding the product of the two three-term representations of Step 1 and taking expectations termwise (all nine terms are integrable, every factor being bounded except the martingales, which are square-integrable):

Ψγδ(t)=E[s0γs0δ]+E[s0γFtδ]+E[Ftγs0δ]+E[FtγFtδ]+E[Ftγmtδ]+E[mtγFtδ]+E[mtγmtδ],\Psi^{\gamma\delta}(t)=\mathbb{E}[\mathfrak{s}^\gamma_0\mathfrak{s}^\delta_0]+\mathbb{E}[\mathfrak{s}^\gamma_0F^\delta_t]+\mathbb{E}[F^\gamma_t\mathfrak{s}^\delta_0]+\mathbb{E}[F^\gamma_tF^\delta_t]+\mathbb{E}[F^\gamma_t\mathfrak{m}^\delta_t]+\mathbb{E}[\mathfrak{m}^\gamma_tF^\delta_t]+\mathbb{E}[\mathfrak{m}^\gamma_t\mathfrak{m}^\delta_t],

the terms E[s0γmtδ]\mathbb{E}[\mathfrak{s}^\gamma_0\mathfrak{m}^\delta_t] and E[mtγs0δ]\mathbb{E}[\mathfrak{m}^\gamma_t\mathfrak{s}^\delta_0] vanishing by (1b). Now: E[s0γFtδ]=[0,t]E[s0γgsδ]ds\mathbb{E}[\mathfrak{s}^\gamma_0F^\delta_t]=\int_{[0,t]}\mathbb{E}[\mathfrak{s}^\gamma_0g^\delta_s]ds by the Fubini theorem (bounded integrand). Pathwise, the integration by parts lemma on [0,t][0,t] with u0=v0=0u_0=v_0=0 gives FtγFtδ=[0,t](gsγFsδ+Fsγgsδ)dsF^\gamma_tF^\delta_t=\int_{[0,t]}(g^\gamma_sF^\delta_s+F^\gamma_sg^\delta_s)ds almost surely, so E[FtγFtδ]=[0,t]E[gsγFsδ+Fsγgsδ]ds\mathbb{E}[F^\gamma_tF^\delta_t]=\int_{[0,t]}\mathbb{E}[g^\gamma_sF^\delta_s+F^\gamma_sg^\delta_s]ds (Fubini; Fsγ4N(l1)BT|F^\gamma_s|\le4\sqrt{N}(l-1)BT on Ω0\Omega_0). Also Ftγmtδ=[0,t]gsγdsmtδ=[0,t]gsγmtδdsF^\gamma_t\mathfrak{m}^\delta_t=\int_{[0,t]}g^\gamma_s\,ds\cdot \mathfrak{m}^\delta_t=\int_{[0,t]}g^\gamma_s \mathfrak{m}^\delta_t\,ds pathwise, so by the Fubini theorem (the integrand is dominated by 4N(l1)Bmtδ4\sqrt{N}(l-1)B\,|\mathfrak{m}^\delta_t|, which is integrable on the product) and (1c),

E[Ftγmtδ]=[0,t]E[gsγmtδ]ds=[0,t]E[gsγmsδ]ds,\mathbb{E}[F^\gamma_t\mathfrak{m}^\delta_t]=\int_{[0,t]}\mathbb{E}[g^\gamma_s\mathfrak{m}^\delta_t]\,ds=\int_{[0,t]}\mathbb{E}[g^\gamma_s\mathfrak{m}^\delta_s]\,ds,

and symmetrically for E[mtγFtδ]\mathbb{E}[\mathfrak{m}^\gamma_tF^\delta_t]. Combining with (1d) and collecting the integrands via ssδ=s0δ+Fsδ+msδ\mathfrak{s}^\delta_s=\mathfrak{s}^\delta_0+F^\delta_s+\mathfrak{m}^\delta_s (almost surely):

Ψγδ(t)=Ψγδ(0)+[0,t]ψγδ(s)ds,ψγδ(s)=E[gsγssδ]+E[gsδssγ]+E[Θγδ(Σs,αs)],\Psi^{\gamma\delta}(t)=\Psi^{\gamma\delta}(0)+\int_{[0,t]}\psi^{\gamma\delta}(s)\,ds,\qquad \psi^{\gamma\delta}(s)=\mathbb{E}[g^\gamma_s\mathfrak{s}^\delta_s]+\mathbb{E}[g^\delta_s\mathfrak{s}^\gamma_s]+\mathbb{E}[\Theta^{\gamma\delta}(\Sigma_s,\alpha_s)],

with each ψγδ\psi^{\gamma\delta} bounded, and measurable by the same Fubini argument as in Step 0 applied to the bounded product-measurable integrands 1gγsδ\mathbf{1}g^\gamma\mathfrak{s}^\delta and 1Θγδ\mathbf{1}\Theta^{\gamma\delta}.

Step 3 (weighting by ZZ). Fix t[0,T]t\in[0,T]; the case t=0t=0 is trivial, so let t>0t>0. Apply the integration by parts lemma on [0,t][0,t] to u=Zγδu=Z^{\gamma\delta} (with density z˙γδ\dot{z}^{\gamma\delta}, continuous, Riemann and Lebesgue integrals agreeing) and v=Ψγδv=\Psi^{\gamma\delta} (with density ψγδ\psi^{\gamma\delta}):

ZtγδΨγδ(t)=Z0γδΨγδ(0)+[0,t](z˙γδ(s)Ψγδ(s)+Zsγδψγδ(s))ds.Z^{\gamma\delta}_t\Psi^{\gamma\delta}(t)=Z^{\gamma\delta}_0\Psi^{\gamma\delta}(0)+\int_{[0,t]}\big(\dot{z}^{\gamma\delta}(s)\Psi^{\gamma\delta}(s)+Z^{\gamma\delta}_s\psi^{\gamma\delta}(s)\big)ds .

Sum over γ,δ{1,,l}\gamma,\delta\in\{1,\dots,l\}. On the left, γ,δZtγδΨγδ(t)=E[stZtst]\sum_{\gamma,\delta}Z^{\gamma\delta}_t\Psi^{\gamma\delta}(t)=\mathbb{E}[\mathfrak{s}_t\cdot Z_t\mathfrak{s}_t] by linearity of the expectation, and likewise at 00. In the integrand, γ,δz˙γδ(s)Ψγδ(s)=E[ssz˙(s)ss]\sum_{\gamma,\delta}\dot{z}^{\gamma\delta}(s)\Psi^{\gamma\delta}(s)=\mathbb{E}[\mathfrak{s}_s\cdot\dot{z}(s)\mathfrak{s}_s], while by the symmetry of ZsZ_s and relabeling of the summation indices,

γ,δZsγδ(E[gsγssδ]+E[gsδssγ])=2γ,δZsγδE[ssγgsδ]=2E[ssZsgs].\sum_{\gamma,\delta}Z^{\gamma\delta}_s\big(\mathbb{E}[g^\gamma_s\mathfrak{s}^\delta_s]+\mathbb{E}[g^\delta_s\mathfrak{s}^\gamma_s]\big)=2\sum_{\gamma,\delta}Z^{\gamma\delta}_s\,\mathbb{E}[\mathfrak{s}^\gamma_sg^\delta_s]=2\,\mathbb{E}[\mathfrak{s}_s\cdot Z_sg_s].

This yields exactly the displayed identity of part (b).

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