TheoremBase

Closeness to a Mean-Field Pair on the Synthetic Copy: Clock Discrepancy, Gronwall Comparison of the Weighted Response with the Profile Response, and the Observation-Information Bound with Mean-Field Data

Statement

Adopt the setting, hypotheses and notation of Weighted Response and Pair-Exponent Quadratic Form on the Synthetic Copy: the Linearised Injection Equation, Comparison with the Profile Injection, and the Observation-Information Bound (and hence of Uniform Pair-Exponent Bound on the Synthetic Copy: Removed-Clock Intensities, the Insertion Response on the Clock-Good Event, and Bounds on the Pair Covariances, Injection Weights from a Bounded Profile Along Mean-Field Clocks: Label-Rate Form of the Fluctuation Covariance, Weight Bounds, the Prior Quadratic Form, and the Step-Function Injection and Shared-Clock Point Insertion into the Open-Loop Aggregate Solution: Exact Response Identity, Crude Bound, and Linearisation Defect): in particular the data NN, ll, mm, l~\tilde{l}, BB, KK, B~\tilde{B}, K~\tilde{K}, b‾\underline{b}, TT, DD, the control set A\mathcal{A}, the transition-rate family β\beta with its aggregate fluctuation covariance Θ\Theta, the label rates ψc\psi_c, state gradients gcg^{c} and drift Jacobian E\mathcal{E} on Δl×A\Delta^l\times\mathcal{A}, the constants Λ1\Lambda_1, Λ2\Lambda_2, Γ=l(B~+K~)\Gamma=\sqrt{l}(\tilde{B}+\tilde{K}) and A0A_0, the cells with μmax⁡\mu_{\max} and μmin⁡\mu_{\min}, the move size m\mathsf{m}, the event GmG^{\mathsf{m}}, the tracked records Tω\mathsf{T}_\omega, the regularised paths Σˉ♯,r(ω)\bar\Sigma^{\sharp,r}(\omega) with consumed clocks Ct♯,c,r(ω)\mathsf{C}^{\sharp,c,r}_t(\omega), the record-frozen control paths ara^{r}, the profile ϖ\varpi with bound Λ\Lambda, the mean-field label rates ϕc\phi_c and consumed clocks Cˉc\bar{\mathsf{C}}^{c}, the injection weights ww with ∥w∥1\lVert w\rVert_1, the profile injection Fˉt\bar{F}_t and profile energy P\mathcal{P}, the weighted response ψ^tr(ω)\hat\psi^{r}_t(\omega), the realized injection Ftr(ω)F^{r}_t(\omega), the pair-exponent quadratic form Qω(r)\mathcal{Q}^{\omega}(r), the observation gradients gυg_\upsilon and the observation information matrix D~(x)\tilde{D}(x) (x∈Δlx\in\Delta^l). Integrals, measurability and norms are as there; exp⁡\exp is the exponential function.

Three notational reservations: the letter Θ\Theta denotes here the aggregate fluctuation covariance and never the parameter coordinate map of the copy; the bound M\mathsf{M} below is unrelated to the pathwise score map Ψ\Psi of the adopted setting; and Dctlr\mathsf{D}^{r}_{\mathrm{ctl}} below is unrelated to the record coordinate map D\mathsf{D} of the copy.

Comparison data. Let S:[0,T]→ΔlS:[0,T]\to\Delta^l and A:[0,T]→A\mathsf{A}:[0,T]\to\mathcal{A}, written t↦Stt\mapsto S_t and t↦Att\mapsto\mathsf{A}_t, be maps with measurable components (a comparison pair; no dynamic relation between SS and A\mathsf{A} is assumed, so this is weaker than a mean-field trajectory pair), and take the mean-field label rates to be

ϕc(t)=ψc(St,At)(c∈L, t∈[0,T])\phi_c(t)=\psi_c(S_t,\mathsf{A}_t)\qquad(c\in\mathcal{L},\ t\in[0,T])

(admissible by claim 1). Let M≥0\mathsf{M}\ge0 be a real number and let ψˉ:[0,T]→Rl\bar\psi:[0,T]\to\mathbb{R}^l, t↦ψˉtt\mapsto\bar\psi_t, be a map with measurable components, ∣ψˉt∣≤M|\bar\psi_t|\le\mathsf{M} for all tt, satisfying the profile response equation

ψˉu=∫[0,u](E(Ss,As) ψˉs+Θ(Ss,As) ϖs) ds(u∈[0,T])\bar\psi_u=\int_{[0,u]}\Bigl(\mathcal{E}(S_s,\mathsf{A}_s)\,\bar\psi_s+\Theta(S_s,\mathsf{A}_s)\,\varpi_s\Bigr)\,ds\qquad(u\in[0,T])

(the integrand being bounded with measurable components by claim 1). Put Λ3=3Kl(l+m)\Lambda_3=3K\sqrt{l(l+m)} and ΛE=2 l(l−1)l (B+K)\Lambda_{\mathcal{E}}=\sqrt{2}\,l(l-1)\sqrt{l}\,(B+K). For r∈Rr\in\mathbf{R} define the control discrepancy of the record

Dctlr=∫[0,T]∑c∈L(∣ψc(St,atr)−ψc(St,At)∣+∣gc(St,atr)−gc(St,At)∣) dt\mathsf{D}^{r}_{\mathrm{ctl}}=\int_{[0,T]}\sum_{c\in\mathcal{L}}\Bigl(\bigl|\psi_c(S_t,a^{r}_t)-\psi_c(S_t,\mathsf{A}_t)\bigr|+\bigl|g^{c}(S_t,a^{r}_t)-g^{c}(S_t,\mathsf{A}_t)\bigr|\Bigr)\,dt

(its integrand being bounded and measurable by claim 1).

1. (Mean-field rates, injection and energy.) Each ϕc\phi_c is measurable with values in [0,B][0,B], so the objects of Injection Weights from a Bounded Profile Along Mean-Field Clocks: Label-Rate Form of the Fluctuation Covariance, Weight Bounds, the Prior Quadratic Form, and the Step-Function Injection are defined; the integrand of Dctlr\mathsf{D}^{r}_{\mathrm{ctl}} is bounded and measurable for every rr; the maps s↦E(Ss,As)ψˉss\mapsto\mathcal{E}(S_s,\mathsf{A}_s)\bar\psi_s and s↦Θ(Ss,As)ϖss\mapsto\Theta(S_s,\mathsf{A}_s)\varpi_s are bounded with measurable components; and

Fˉt=∫[0,t]Θ(Ss,As) ϖs ds(t∈[0,T]),P=∫[0,T]ϖs⋅(Θ(Ss,As) ϖs) ds.\bar{F}_t=\int_{[0,t]}\Theta(S_s,\mathsf{A}_s)\,\varpi_s\,ds\quad(t\in[0,T]),\qquad \mathcal{P}=\int_{[0,T]}\varpi_s\cdot\bigl(\Theta(S_s,\mathsf{A}_s)\,\varpi_s\bigr)\,ds .

2. (Clock discrepancy and injection error on close records.) Let ω∈Gm\omega\in G^{\mathsf{m}}, r∈Tωr\in\mathsf{T}_\omega, and let εS≥0\varepsilon_S\ge0 and εctl≥0\varepsilon_{\mathrm{ctl}}\ge0 be real numbers with ∣Σˉt♯,r(ω)−St∣≤εS|\bar\Sigma^{\sharp,r}_t(\omega)-S_t|\le\varepsilon_S for every t∈[0,T]t\in[0,T] and Dctlr≤εctl\mathsf{D}^{r}_{\mathrm{ctl}}\le\varepsilon_{\mathrm{ctl}}. Then for every label cc and every t∈[0,T]t\in[0,T], ∣Ct♯,c,r(ω)−Cˉtc∣≤N(Λ1TεS+εctl)|\mathsf{C}^{\sharp,c,r}_t(\omega)-\bar{\mathsf{C}}^{c}_t|\le N(\Lambda_1T\varepsilon_S+\varepsilon_{\mathrm{ctl}}), and

∣Ftr(ω)−Fˉt∣≤eF,eF=2Λ l(l−1) (Λ1TεS+εctl)+2Λ l(l−1) μmax⁡N(3+2(Λ1TA0+μmax⁡)μmin⁡).|F^{r}_t(\omega)-\bar{F}_t|\le\mathsf{e}_F,\qquad \mathsf{e}_F=2\Lambda\,l(l-1)\,(\Lambda_1T\varepsilon_S+\varepsilon_{\mathrm{ctl}})+\frac{2\Lambda\,l(l-1)\,\mu_{\max}}{N}\Bigl(3+\frac{2(\Lambda_1TA_0+\mu_{\max})}{\mu_{\min}}\Bigr).

3. (Gronwall comparison with the profile response.) Under the assumptions of claim 2, for every t∈[0,T]t\in[0,T],

∣ψ^tr(ω)−ψˉt∣≤ϵψ,ϵψ=(eF+2 l(l−1) ∥w∥1N(D+Λ2TA02N)+2 M(l(l−1)Λ3TεS+εctl))exp⁡(ΛET).|\hat\psi^{r}_t(\omega)-\bar\psi_t|\le\epsilon_\psi,\qquad \epsilon_\psi=\Bigl(\mathsf{e}_F+\frac{\sqrt{2}\,l(l-1)\,\lVert w\rVert_1}{N}\Bigl(D+\frac{\Lambda_2TA_0^{2}}{N}\Bigr)+\sqrt{2}\,\mathsf{M}\bigl(l(l-1)\Lambda_3T\varepsilon_S+\varepsilon_{\mathrm{ctl}}\bigr)\Bigr)\exp(\Lambda_{\mathcal{E}}T).

4. (Observation-information bound with mean-field data.) Under the assumptions of claim 2, the map t↦ψˉt⋅(D~(St)ψˉt)t\mapsto\bar\psi_t\cdot(\tilde{D}(S_t)\bar\psi_t) is bounded, measurable and nonnegative, and for every real ζ>0\zeta>0

Qω(r)≤(1+ζ) N(∫[0,T]ψˉt⋅(D~(St)ψˉt) dt+l~ T κ)+(1+1ζ)9 l~ l2K~2T∥w∥12A044N3b‾,\mathcal{Q}^{\omega}(r)\le(1+\zeta)\,N\Bigl(\int_{[0,T]}\bar\psi_t\cdot\bigl(\tilde{D}(S_t)\bar\psi_t\bigr)\,dt+\tilde{l}\,T\,\kappa\Bigr)+\Bigl(1+\frac1\zeta\Bigr)\frac{9\,\tilde{l}\,l^{2}\tilde{K}^{2}T\lVert w\rVert_1^{2}A_0^{4}}{4N^{3}\underline{b}},

where

κ=Γ (2M+ϵψ)(3lK~ εS (M+ϵψ)+Γ ϵψ)b‾+Γ3M2 εSb‾2.\kappa=\frac{\Gamma\,(2\mathsf{M}+\epsilon_\psi)\bigl(3l\tilde{K}\,\varepsilon_S\,(\mathsf{M}+\epsilon_\psi)+\Gamma\,\epsilon_\psi\bigr)}{\underline{b}}+\frac{\Gamma^{3}\mathsf{M}^{2}\,\varepsilon_S}{\underline{b}^{2}} .

Proofs

Log in to submit a proof.

Loading...

Citations

Loading…

Dependencies

Loading…

Related

0 relations

Curated associations between results. These are editable and subjective — they do not replace the dependency graph, which is derived from the references in the text.

No relations recorded yet.

Comments

Log in to comment.

Loading…