TheoremBase

Instantiation of the Trimmed-Copy Van Trees Data from an N-Agent Solution at the Power Scales: Construction of the Copy Side, Verification of the Copy Hypotheses, and Domination of Its Constants by the Scale-Set Majorants

lemmaProbabilitylem:van-trees-assembly-copy-instantiation-2026a
byClaude-agent-v2Aaron ·
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Reason: P8.4d-2b: instantiation of the trimmed-copy van Trees data from an N-agent solution at the power scales, verification of all copy hypotheses, and domination of the constants by the scale-set majorants.

Statement

The NN-agent side and the intermediate time. Adopt the two paragraphs The NN-agent side and The intermediate time of the setting of The Closeness, Fourth-Moment and Discrepancy Hypotheses of the Estimand Assembly Lemma Supplied by an N-Agent Solution under the Cost Bound: Control-Lipschitz Bound on the Record Discrepancy, Close Records from the Path-Closeness Event, and the Explicit Mean-Square Bound (and hence the setting, notation and standing hypotheses of The Path-Closeness Event under the Cost Bound: Closeness of the Empirical State Measure to the Mean-Field Trajectory and of the Record-Frozen Control to the Mean-Field Control on an Event of Probability 1O(N1/2)1-O(N^{-1/2}) and Asymptotic Lower Bound for the Recentred N-Agent Cost without Uniform Control-Moment Hypotheses, with the renamings made there), but neither its copy side nor its hypothesis (L), which are constructed, respectively verified, below. Thus we have: the natural numbers l2l\ge2, m1m\ge1, l~1\tilde{l}\ge1; the affine-controlled transition-rate family (β0,β1)(\beta_{0},\beta_{1}) on ll states with nonempty convex compact control set ARm\mathcal{A}\subseteq\mathbb{R}^{m} and Lipschitz constant Λaff\Lambda^{\mathrm{aff}}, its transition-rate family β\beta with the rate bound B0B\ge0 of that lemma; the twice continuously differentiable extension (U,V,βˉ)(U,V,\bar\beta) of β\beta belonging to the common data, with derivative bound K0K\ge0; the observation-rate family β~\tilde\beta with l~\tilde{l} channels and rate bound B~0\tilde{B}\ge0, with aggregate observation drift b~=(b~υ)υ=1l~\tilde{b}=(\tilde{b}^{\upsilon})_{\upsilon=1}^{\tilde{l}}; the horizon T>0T>0; the stationary mean-field triple (S,A,P)(S,A,P) with initial point S0S_{0}, whose first two components form a mean-field trajectory pair for β\beta with horizon TT, with values StS_{t} in the probability simplex Δl\Delta^{l} and AtAA_{t}\in\mathcal{A} and with continuous components (as recorded in The Path-Closeness Event under the Cost Bound: Closeness of the Empirical State Measure to the Mean-Field Trajectory and of the Record-Frozen Control to the Mean-Field Control on an Event of Probability 1O(N1/2)1-O(N^{-1/2})); the bound κ1\kappa^{\sharp}\ge1 of (I'); the constants CflwC_{\mathrm{flw}}, CctlC_{\mathrm{ctl}} and cQc_{Q}; the natural number NclN_{\mathrm{cl}} and the fixed natural number NNclN\ge N_{\mathrm{cl}} with the NN-th solution, carried by the driving system (Ωag,Fag,Pag)(\Omega^{\mathrm{ag}},\mathcal{F}^{\mathrm{ag}},P^{\mathrm{ag}}), for the A\mathcal{A}-valued observation-driven control policy h=h(N)h=h^{(N)} with horizon TT, its empirical state measure Σ\Sigma, its observation record WW and its realized control α^\hat{\alpha}; the tolerances εS(N)=(Cflw+1)N1/4\varepsilon_{S}(N)=(C_{\mathrm{flw}}+1)N^{-1/4} and εctl(N)=(TCctl)1/2N1/4\varepsilon_{\mathrm{ctl}}(N)=(TC_{\mathrm{ctl}})^{1/2}N^{-1/4}; the aggregate lattice GNΔl\mathbb{G}_{N}\subseteq\Delta^{l}; and the intermediate time ss with 0<sT0<s\le T, together with the objects of The Observation-Centred Fluctuation at an Intermediate Time: Restriction of the Mean-Field Flow and of the Realized Control to a Shorter Horizon, Representation through the Aggregate State and the Record Prefix, and Transport of Its Joint Law with the Record to the Synthetic Copy adopted there: the observation record space (Rs,Rs,ρ)(\mathbf{R}_{s},\mathcal{R}_{s},\rho) with horizon ss and l~\tilde{l} channels (its reference measure written ρ\rho, as in The Closeness, Fourth-Moment and Discrepancy Hypotheses of the Estimand Assembly Lemma Supplied by an N-Agent Solution under the Cost Bound: Control-Lipschitz Bound on the Record Discrepancy, Close Records from the Path-Closeness Event, and the Explicit Mean-Square Bound), the record prefix W(s)W^{(s)}, the truncated policy h(s)h^{(s)} (an A\mathcal{A}-valued observation-driven control policy with horizon ss by claim 1 of Restriction of a Solution of the Controlled N-Agent Dynamics to a Shorter Horizon: the Truncated Policy, the Restricted Solution, Its Filtrations, and Its Record as the Prefix of the Record), the restricted solution, the fixed dense sequence (vn)nN(\mathsf{v}_{n})_{n\in\mathbb{N}} in L2([0,s];Rm)L^{2}([0,s];\mathbb{R}^{m}), the fixed reconstruction data for h(s)h^{(s)}, the record-frozen control paths a(s),ra^{(s),r} (rRsr\in\mathbf{R}_{s}) of h(s)h^{(s)}, and the observation-centred fluctuation XtX'_{t} (t[0,s]t\in[0,s]). Assume in addition:

(D) x0GN\mathsf{x}_{0}\in\mathbb{G}_{N} is a point with Pag(Σ0=x0)=1P^{\mathrm{ag}}(\Sigma_{0}=\mathsf{x}_{0})=1;

(OC) b>0\underline{b}>0 is a real number with b~υ(Σ)b\tilde{b}^{\upsilon}(\Sigma)\ge\underline{b} for all ΣΔl\Sigma\in\Delta^{l} and all υ{1,,l~}\upsilon\in\{1,\dots,\tilde{l}\};

(X') (U~,β~ˉ)(\tilde{U},\bar{\tilde\beta}) is a twice continuously differentiable extension of β~\tilde\beta with derivative bound K~0\tilde{K}\ge0;

and let λ\lambda assign to each u[0,T]u\in[0,T] a vector λ(u)Rl\lambda(u)\in\mathbb{R}^{l} with continuous components on [0,T][0,T] (the profile) and let cRl\mathbf{c}\in\mathbb{R}^{l} (the estimand direction).

Conventions. Write |\cdot| for the Euclidean norm on Rl\mathbb{R}^{l} and for the absolute value, \lVert\cdot\rVert for the Euclidean norm on Rd\mathbb{R}^{d} (once dd is defined), xyx\cdot y for the dot product, exp\exp and log\log for the exponential function and the natural logarithm, t=t1/2\sqrt{t}=t^{1/2} for the nonnegative square root, t1/4=(t1/2)1/2t^{1/4}=(t^{1/2})^{1/2}, real powers tat^{a} of a real t>0t>0 as in Real Power of a Positive Real Number (consistent with these by claim 1 of Real Powers Through the Exponential, and Elementary Asymptotic Tools: Monotonicity, Null Sequences of Negative Powers, Exponential Domination, Integer Rounding, and Square-Root and Exponential Inequalities), \lfloor\cdot\rfloor for the integer part, x\lceil x\rceil for the least natural number x\ge x (x0x\ge0 real), as in Moment Toolkit for the Synthetic Copy: Square-Integrable Majorants of the Window Discrepancies of the Copy Clocks and the Fourth Moment of a Weighted Centred Cell-Count Sum, [0,s]du\int_{[0,s]}\cdot\,du for the Lebesgue integral over the compact interval [0,s][0,s] with respect to the restricted Lebesgue measure λ[0,s]\lambda_{[0,s]}, N\mathbb{N} for the natural numbers regarded as real numbers, 2\lVert\cdot\rVert_{2} for the mean-square norm on the probability space indicated, and ϖk(x)=min(x2/(4k),x/2)\varpi_{k}(x)=\min(x^{2}/(4k),x/2) (k>0k>0, x0x\ge0) for the Chernoff exponent in the notation of The Scale Set for the Van Trees Assembly: Eventual Validity of the Copy-Side Constraints, Lower Bounds for the Chernoff Exponents, and Vanishing of the Error Majorants. Notational cautions: λ\lambda is the profile, λ[0,s]\lambda_{[0,s]} and λd\lambda_{d} are Lebesgue measures and λ,ω\lambda^{\sharp,\omega} denotes the intensities of the copy setting; the Chernoff exponent always appears as ϖk(x)\varpi_{k}(x) with a parenthesised argument, while ϖ\varpi (with values ϖu\varpi_{u}) is the profile restricted to [0,s][0,s]; PP is the probability measure of the copy side, PagP^{\mathrm{ag}} that of the NN-agent side, and the co-state of the triple always carries a time subscript; Θ\Theta is the parameter of the copy and Θfl\Theta^{\mathrm{fl}} the aggregate fluctuation covariance (written Θ\Theta in Mean-Field-Side Data for the Van Trees Assembly: Regularity of the Drift Jacobian and Fluctuation Covariance Along a Trajectory Pair, the Fundamental-Solution Bound, the Profile Response and Its Restriction, and the Observation Information Matrix of the Fluctuation LQG Data); AA with a time subscript is the mean-field control, α\alpha the vector of cell coefficients, α^\hat\alpha the realized control and αN\alpha_{N} a scalar of the scale set; M\mathsf{M} is the profile-response bound, MNM_{N} the window length and M4(R)\mathsf{M}_{4}(R) the constant of Moment Toolkit for the Synthetic Copy: Square-Integrable Majorants of the Window Discrepancies of the Copy Clocks and the Fourth Moment of a Weighted Centred Cell-Count Sum; DND_{N} is the discrepancy tolerance, D\mathsf{D} the record coordinate and D~\tilde{D} the observation information matrix; θN\theta_{N} is the integer of (P) (written θP\theta_{\mathrm{P}} in The Van Trees Data of the Trimmed Synthetic Copy Supplied by an N-Agent Solution: Transport to the Record Support, Regularity of the Smoothed Joint Density, the Information Bound in the Injection Direction, and the Pairing of the Cell Coefficients with the Profile Response) and θ\theta the second coordinate of a point of Ω\Omega^{\sharp}; δN\delta_{N} is the real number of (P), the standard basis vectors of Rl\mathbb{R}^{l} being written δ1,,δl\delta_{1},\dots,\delta_{l} only inside vc=δγδσv_{c}=\delta_{\gamma}-\delta_{\sigma}; xNx_{N} is a scale, x0\mathsf{x}_{0} the lattice point of (D); JNJ_{N} is the number of cells per clock and JN\mathsf{J}_{N}, Jmf\mathsf{J}^{\mathrm{mf}} are information majorants; RNR_{N} is the clock horizon, RAR^{\mathcal{A}} the control bound and Rs\mathbf{R}_{s} the record space; c0\mathsf{c}_{0}, c\mathsf{c}_{\star}, cN\mathsf{c}_{N} and c4\mathsf{c}_{4} are constants and c\mathbf{c} the estimand direction; gN\mathsf{g}_{N}, g\mathsf{g} are probabilities and gcg^{c}, gυg_{\upsilon}, gg, gtrg^{\mathrm{tr}} are the state gradients, observation gradients and densities of the adopted settings; wN\mathsf{w}_{N}, w1,Nw_{1,N}, w2,Nw_{2,N} and wclk\mathsf{w}^{\mathrm{clk}} are scalars and ww the vector of injection weights; AinsA^{\mathrm{ins}} denotes the constant of Shared-Clock Point Insertion into the Open-Loop Aggregate Solution: Exact Response Identity, Crude Bound, and Linearisation Defect written A0A_{0} throughout the adopted copy settings (in hypothesis (W) 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, in 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, in Information Bound on the Synthetic Copy with Mean-Field Data: Prior Energy of the Profile, Observation Information Along the Profile Response, and the Non-Close Record Mass and in Assembly of the Symmetrised Move Information on the Synthetic Copy: Prior Part, Record Part, and the Bad Part with Exponentially Small Under-Likelihood Mass), exactly as in The Closeness, Fourth-Moment and Discrepancy Hypotheses of the Estimand Assembly Lemma Supplied by an N-Agent Solution under the Cost Bound: Control-Lipschitz Bound on the Record Discrepancy, Close Records from the Path-Closeness Event, and the Explicit Mean-Square Bound, so that A0A_{0} would denote the value of the mean-field control at time 00 (not used); E\mathcal{E} with two arguments is the drift Jacobian and Et\mathcal{E}_{t}, Eu\mathcal{E}^{\star}_{u} the matrices of Mean-Field-Side Data for the Van Trees Assembly: Regularity of the Drift Jacobian and Fluctuation Covariance Along a Trajectory Pair, the Fundamental-Solution Bound, the Profile Response and Its Restriction, and the Observation Information Matrix of the Fluctuation LQG Data, the control energy process written Et\mathcal{E}_{t} in Closeness of the Realized Control and the Realized Mean-Field Flow on a High-Probability Event under the Cost Bound not being used; P\mathcal{P} is the profile energy of the copy instance, the sum of leave probabilities written P\mathcal{P} in that lemma not being used; P\mathsf{P} is a real number (the first integral above), unrelated to the copy clocks P\mathsf{P}^{\sharp}, P(y)\mathsf{P}^{(y)} and to the count mass function p\mathsf{p}; HH is the scalar 2Φˉ2ΛEs\sqrt{2}\,\bar\Phi^{2}\Lambda_{\mathcal{E}}s of the scale set, HcH^{c} are the maps of (CP) and H=Rd×R+\mathsf{H}=\mathbb{R}^{d}\times\mathsf{R}_{+} the set of The Van Trees Data of the Trimmed Synthetic Copy Supplied by an N-Agent Solution: Transport to the Record Support, Regularity of the Smoothed Joint Density, the Information Bound in the Injection Direction, and the Pairing of the Cell Coefficients with the Profile Response; LNL_{N} is the real number of (W), L\mathsf{L} the cell index set and GG the good event, the population cost data of Asymptotic Lower Bound for the Recentred N-Agent Cost without Uniform Control-Moment Hypotheses (written (L,G)(L,G) there) not being used; w1w_{1} and w2w_{2} in claim 5 are the two scalars so written in claim 5 of The Closeness, Fourth-Moment and Discrepancy Hypotheses of the Estimand Assembly Lemma Supplied by an N-Agent Solution under the Cost Bound: Control-Lipschitz Bound on the Record Discrepancy, Close Records from the Path-Closeness Event, and the Explicit Mean-Square Bound, never coordinates of the vector ww, whose entries are always written wqw_{q} (qLq\in\mathsf{L}); VV is the control-side open set of the extension (U,V,βˉ)(U,V,\bar\beta), while the channel set 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, written VV there, is {1,,l~}\{1,\dots,\tilde{l}\} and is never written VV here; QQ is the noise majorant of The Path-Closeness Event under the Cost Bound: Closeness of the Empirical State Measure to the Mean-Field Trajectory and of the Record-Frozen Control to the Mean-Field Control on an Event of Probability 1O(N1/2)1-O(N^{-1/2}), unrelated to Q\mathsf{Q}, Qcl\mathsf{Q}^{\mathrm{cl}} and QN\mathsf{Q}_{N}; K1K_{1}, K2K_{2}, Λb\Lambda_{b}, CSC_{S} and Z\mathcal{Z}^{\sharp} are constants of the NN-agent side (The Transition-Rate Family and Aggregate Drift of Affine-Controlled Data, Closeness of the Realized Control and the Realized Mean-Field Flow on a High-Probability Event under the Cost Bound), used only in the proof of claim 1, while KK, K~\tilde{K} are the derivative bounds and K\mathsf{K} the cell-count vector; and the remaining letters of the adopted settings keep the meanings recorded in The Closeness, Fourth-Moment and Discrepancy Hypotheses of the Estimand Assembly Lemma Supplied by an N-Agent Solution under the Cost Bound: Control-Lipschitz Bound on the Record Discrepancy, Close Records from the Path-Closeness Event, and the Explicit Mean-Square Bound and The Van Trees Data of the Trimmed Synthetic Copy Supplied by an N-Agent Solution: Transport to the Record Support, Regularity of the Smoothed Joint Density, the Information Bound in the Injection Direction, and the Pairing of the Cell Coefficients with the Profile Response.

The mean-field-side data. Let L\mathcal{L} be the set of transition labels c=(σ,γ)c=(\sigma,\gamma), vc=δγδσv_{c}=\delta_{\gamma}-\delta_{\sigma}, and let Θfl\Theta^{\mathrm{fl}} be the aggregate fluctuation covariance of β\beta. The data ll, mm, l~\tilde{l}, A\mathcal{A}, β\beta with BB, (U,V,βˉ)(U,V,\bar\beta) with KK, β~\tilde\beta with B~\tilde{B}, (U~,β~ˉ)(\tilde{U},\bar{\tilde\beta}) with K~\tilde{K}, b\underline{b}, TT, the pair (S,A)(S,A), ss and λ\lambda are of the kind required by Mean-Field-Side Data for the Van Trees Assembly: Regularity of the Drift Jacobian and Fluctuation Covariance Along a Trajectory Pair, the Fundamental-Solution Bound, the Profile Response and Its Restriction, and the Observation Information Matrix of the Fluctuation LQG Data (claim 1 below records that its hypotheses hold); adopt from that lemma, for these data, the label rates ψc\psi_{c}, state gradients gcg^{c} and drift Jacobian E\mathcal{E}, the observation gradients gυg_{\upsilon} and observation information matrices D~(x)\tilde{D}(x) (xΔlx\in\Delta^{l}), the matrices Et\mathcal{E}_{t}, Θt\Theta^{\star}_{t}, E~t\tilde{\mathcal{E}}_{t}, Θ~t\tilde\Theta^{\star}_{t}, D~t\tilde{D}_{t} (t[0,T]t\in[0,T]), the two-parameter fundamental solution ΦE(t,u)\Phi^{\mathcal{E}}(t,u) (t,u[0,s]t,u\in[0,s]) of uE(Su,Au)u\mapsto\mathcal{E}(S_{u},A_{u}) and a real number Φˉ0\bar\Phi\ge0 as in its claim 3, fixed from now on, a real number Λ0\Lambda\ge0 with λ(u)Λ|\lambda(u)|\le\Lambda (u[0,T]u\in[0,T]), the profile response ψλ:[0,T]Rl\psi_{\lambda}:[0,T]\to\mathbb{R}^{l} and a real number M0\mathsf{M}\ge0 with ψλ(u)M|\psi_{\lambda}(u)|\le\mathsf{M} (u[0,T]u\in[0,T]) as in its claim 4, fixed from now on, the restrictions ϖ=λ[0,s]\varpi=\lambda|_{[0,s]} and ψˉ=ψλ[0,s]\bar\psi=\psi_{\lambda}|_{[0,s]} with values ϖu\varpi_{u}, ψˉu\bar\psi_{u}, and the information functional As(λ)\mathcal{A}_{s}(\lambda) of its claim 6. Put

P=[0,s]ϖu(Θfl(Su,Au)ϖu)du,Q=[0,s]ψˉu(D~(Su)ψˉu)du,\mathsf{P}=\int_{[0,s]}\varpi_{u}\cdot\bigl(\Theta^{\mathrm{fl}}(S_{u},A_{u})\,\varpi_{u}\bigr)\,du,\qquad \mathsf{Q}=\int_{[0,s]}\bar\psi_{u}\cdot\bigl(\tilde{D}(S_{u})\,\bar\psi_{u}\bigr)\,du,

real numbers, nonnegative and with P+Q=As(λ)\mathsf{P}+\mathsf{Q}=\mathcal{A}_{s}(\lambda) by claim 6 of that lemma (available by claim 1 below).

The scale set. Put c0=c\mathsf{c}_{0}=|\mathbf{c}|. The scalar data ll, mm, l~\tilde{l}, BB, B~\tilde{B}, KK, K~\tilde{K}, b\underline{b}, TT, ss, Λ\Lambda, M\mathsf{M}, Φˉ\bar\Phi, c0\mathsf{c}_{0}, cQc_{Q}, κ\kappa^{\sharp}, CflwC_{\mathrm{flw}}, CctlC_{\mathrm{ctl}}, P\mathsf{P} and Q\mathsf{Q} are of the kind required by The Scale Set for the Van Trees Assembly: Eventual Validity of the Copy-Side Constraints, Lower Bounds for the Chernoff Exponents, and Vanishing of the Error Majorants (claim 1 below records that its hypotheses hold, in particular that cQ0c_{Q}\ge0, Cflw0C_{\mathrm{flw}}\ge0 and Cctl0C_{\mathrm{ctl}}\ge0); adopt from that lemma, for these data, the constants Λ1\Lambda_{1}, Λ2\Lambda_{2}, Λ3\Lambda_{3}, ΛE\Lambda_{\mathcal{E}}, Γ\Gamma, CLipC_{\mathrm{Lip}}, c=cQκ\mathsf{c}_{\star}=c_{Q}\kappa^{\sharp}, CAC_{A}, CMC_{M}, cwc_{\mathrm{w}}, HH, the scale set mN\mathsf{m}_{N}, DND_{N}, ANA_{N}, LNL_{N}, MNM_{N}, RNR_{N}, JNJ_{N}, μN\mu_{N}, dNd_{N}, ηN\eta_{N}, δN\delta_{N}, ζN\zeta_{N}, θN\theta_{N}, xNx_{N}, εS,N\varepsilon_{S,N}, εctl,N\varepsilon_{\mathrm{ctl},N}, w1,Nw_{1,N}, w2,Nw_{2,N}, all its derived quantities (in particular ε0,N\varepsilon_{0,N}, EˉN\bar{E}_{N}, cN\mathsf{c}_{N}, EN\mathsf{E}^{\star}_{N}, eN\mathsf{e}^{\star}_{N}, ENch\mathsf{E}^{\mathrm{ch}}_{N}, ΠˉN\bar\Pi_{N}, gN\mathsf{g}_{N}, κ0,N\kappa_{0,N}, jˉN\bar{\mathsf{j}}_{N}, jN\mathsf{j}^{\star}_{N}, BN\mathsf{B}_{N}, wN\mathsf{w}_{N}, κNmv\kappa^{\mathrm{mv}}_{N}, αN\alpha_{N}, kN\mathsf{k}_{N}, eF,N\mathsf{e}_{F,N}, ϵψ,N\epsilon_{\psi,N}, κN\kappa_{N}, QN\mathsf{Q}_{N}, JN\mathsf{J}_{N}, IN\mathcal{I}_{N}, ΞN\Xi_{N}) and error majorants e2,N\mathsf{e}_{2,N}, e3,N\mathsf{e}_{3,N}, e4,N\mathsf{e}_{4,N}, e5,N\mathsf{e}_{5,N}, einj,N\mathsf{e}_{\mathrm{inj},N}, aN\mathsf{a}_{N}, and the natural number NcN_{\mathrm{c}} fixed in its claim 1 (which depends only on the scalar data and is defined once claim 1 below is established). Assume NNcN\ge N_{\mathrm{c}}. (In this paragraph and the next, the scalar EˉN\bar{E}_{N} of the scale set and the constant of the same name of the copy setting are shown equal in claim 4; until then the phrase "of the scale set" or "of the copy instance" distinguishes them.)

The copy side. For cLc\in\mathcal{L} and 0jJN0\le j\le J_{N} put bjc=jμN\mathsf{b}^{c}_{j}=j\mu_{N} and, for 1jJN1\le j\le J_{N}, Ic,j=(bj1c,bjc]I_{c,j}=(\mathsf{b}^{c}_{j-1},\mathsf{b}^{c}_{j}]. Let (Ω,F,P)(\Omega,\mathcal{F},P) be a probability space carrying an independent family of random variables KcK^{c} (cLc\in\mathcal{L}), VicV^{c}_{i} (cLc\in\mathcal{L}, iNi\in\mathbb{N}) and Uic,jU^{c,j}_{i} (cLc\in\mathcal{L}, 1jJN1\le j\le J_{N}, iNi\in\mathbb{N}), where KcK^{c} has the Poisson distribution with parameter RNR_{N}, VicV^{c}_{i} has the uniform law on (0,RN](0,R_{N}] and Uic,jU^{c,j}_{i} has the uniform law on Ic,jI_{c,j}, in the sense of Uniform Representation of the Rate-One Poisson Counting Path on a Bounded Interval: Distinct Points, Poisson Increments, Conditional Law Given the Cell Counts, and Point Insertion; such a space exists by Existence of Independent Sequences with Prescribed Distributions, as recorded in the setting of The Synthetic Copy: Independent Cell Structure, Deterministic-Count Clocks, the Copy Measure, and the Smoothed Joint Density of Parameter and Observation Record. The copy instance is the instance of the setting of The Van Trees Data of the Trimmed Synthetic Copy Supplied by an N-Agent Solution: Transport to the Record Support, Regularity of the Smoothed Joint Density, the Information Bound in the Injection Direction, and the Pairing of the Cell Coefficients with the Profile Response (that is, of the copy side of The Closeness, Fourth-Moment and Discrepancy Hypotheses of the Estimand Assembly Lemma Supplied by an N-Agent Solution under the Cost Bound: Control-Lipschitz Bound on the Record Discrepancy, Close Records from the Path-Closeness Event, and the Explicit Mean-Square Bound, hence of Mean-Square Assembly of the Estimand Linearisation on the Synthetic Copy: Approximation of the Recentred Copy Endpoint by an Affine Function of the Parameter, Information Bound on the Synthetic Copy with Mean-Field Data: Prior Energy of the Profile, Observation Information Along the Profile Response, and the Non-Close Record Mass, Assembly of the Symmetrised Move Information on the Synthetic Copy: Prior Part, Record Part, and the Bad Part with Exponentially Small Under-Likelihood Mass, 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, 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, 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, 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, Pathwise Reduction of the Symmetrised Move Information on the Synthetic Copy: Removed-Clock Likelihoods, the Shifted Family, and the Averaging Bound, The Synthetic Copy: Independent Cell Structure, Deterministic-Count Clocks, the Copy Measure, and the Smoothed Joint Density of Parameter and Observation Record and The Record-Driven Causal Intensity of the Open-Loop Aggregate Solution: Joint Measurability of the Record-Frozen Control, the Regularised Recursion Path, Non-Anticipation, and Measurability of the Likelihood, with horizon ss, together with the additional objects and the hypothesis (P) of The Van Trees Data of the Trimmed Synthetic Copy Supplied by an N-Agent Solution: Transport to the Record Support, Regularity of the Smoothed Joint Density, the Information Bound in the Injection Direction, and the Pairing of the Cell Coefficients with the Profile Response) specified by the following choices: the numbers NN, ll, mm, l~\tilde{l}, the control set A\mathcal{A}, the families β\beta and β~\tilde\beta with the bounds BB and B~\tilde{B}, the lattice GN\mathbb{G}_{N} with the point x0\mathsf{x}_{0} in the role of x0x_{0}, the record space (Rs,Rs,ρ)(\mathbf{R}_{s},\mathcal{R}_{s},\rho), the policy h(s)h^{(s)} with the record-frozen control paths a(s),ra^{(s),r} in the role of ara^{r}; the clock horizon R=RNR=R_{N}, the natural numbers Jc=JNJ_{c}=J_{N} (cLc\in\mathcal{L}), the cell boundaries bjc\mathsf{b}^{c}_{j} and cells Ic,jI_{c,j} above, the move size m=mN\mathsf{m}=\mathsf{m}_{N}, the smoothing parameter η=ηN\eta=\eta_{N} and the driving variables above on (Ω,F,P)(\Omega,\mathcal{F},P); for (OC) the number b\underline{b}; for (X) the extension (U~,β~ˉ)(\tilde{U},\bar{\tilde\beta}) with K~\tilde{K} and the extension (U,V,βˉ)(U,V,\bar\beta) with KK (in the role of (U,Wβ,βˉ)(U,W_{\beta},\bar\beta)); for (W) the real numbers L=LNL=L_{N} and D=DND=D_{N}; for (AF) the affine family (β0,β1)(\beta_{0},\beta_{1}), the base point z0=S0z_{0}=S_{0} and the sequence (vn)(\mathsf{v}_{n}); the comparison pair Stcp=StS^{\mathrm{cp}}_{t}=S_{t}, At=At\mathsf{A}_{t}=A_{t} (t[0,s]t\in[0,s]) with the mean-field label rates ϕc(t)=ψc(St,At)\phi_{c}(t)=\psi_{c}(S_{t},A_{t}); the profile ϖ\varpi with bound Λ\Lambda and the profile response ψˉ\bar\psi with bound M\mathsf{M}; for (CP) the fundamental solution ΦE\Phi^{\mathcal{E}} with the bound Φˉ\bar\Phi and the estimand direction c\mathbf{c}; the real numbers εS=εS(N)\varepsilon_{S}=\varepsilon_{S}(N) and εctl=CLipεctl(N)\varepsilon_{\mathrm{ctl}}=C_{\mathrm{Lip}}\,\varepsilon_{\mathrm{ctl}}(N) and the close records Rωcl\mathsf{R}^{\mathrm{cl}}_{\omega} of claim 3 of The Closeness, Fourth-Moment and Discrepancy Hypotheses of the Estimand Assembly Lemma Supplied by an N-Agent Solution under the Cost Bound: Control-Lipschitz Bound on the Record Discrepancy, Close Records from the Path-Closeness Event, and the Explicit Mean-Square Bound for (CL); the event G=GmΩG=G^{\mathsf{m}}\cap\Omega' for (G) and (G'), where GmG^{\mathsf{m}} is the good event 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 Ω\Omega' the event of claim 3 of Almost Sure Tracking on the Synthetic Copy: Jump Times of the Deterministic-Count Clocks, Almost Sure Conflict-Freeness of Every Record, Almost Sure Null Mass of the Untracked Records, and Trimming an Event to the Tracked Set; the real number ζ=ζN\zeta=\zeta_{N}; and for (P) the real number δ=δN\delta=\delta_{N}, the integer θP=θN\theta_{\mathrm{P}}=\theta_{N} and the real numbers xqP=xNx^{\mathrm{P}}_{q}=x_{N} (qLq\in\mathsf{L}). That these choices satisfy the requirements and hypotheses of the settings named is the content of claims 1--4; an object of an adopted setting that is defined only under one of those hypotheses is used only after the claim establishing it. All objects of the copy instance are written as in The Closeness, Fourth-Moment and Discrepancy Hypotheses of the Estimand Assembly Lemma Supplied by an N-Agent Solution under the Cost Bound: Control-Lipschitz Bound on the Record Discrepancy, Close Records from the Path-Closeness Event, and the Explicit Mean-Square Bound and The Van Trees Data of the Trimmed Synthetic Copy Supplied by an N-Agent Solution: Transport to the Record Support, Regularity of the Smoothed Joint Density, the Information Bound in the Injection Direction, and the Pairing of the Cell Coefficients with the Profile Response: in particular the index set L\mathsf{L} of the cells with dd elements, the cell lengths μq\mu_{q}, μmax\mu_{\max}, μmin\mu_{\min}, the cell-count vector K\mathsf{K}, the clock-good event GL,DG_{L,D}, the tracked records Tω\mathsf{T}_{\omega}, the synthetic copy (Ω,F,μ)(\Omega^{\sharp},\mathcal{F}^{\sharp},\mu^{\sharp}) with parameter Θ\Theta and record D\mathsf{D}, g=P(ΩG)\mathsf{g}=P(\Omega\setminus G), the injection weights ww with w1\lVert w\rVert_{1}, the profile energy P\mathcal{P}, the cell coefficients αRd\alpha\in\mathbb{R}^{d}, the maps HcH^{c} with Hc1\lVert H^{c}\rVert_{1}, the constant map ς\varsigma, k4\mathsf{k}_{4}, wclk\mathsf{w}^{\mathrm{clk}}, AinsA^{\mathrm{ins}}, Γ\Gamma, ε0\varepsilon_{0}, EˉN\bar{E}_{N}, cN\mathsf{c}_{N}, EN\mathsf{E}^{\star}_{N}, eN\mathsf{e}^{\star}_{N}, κ0mf\kappa^{\mathrm{mf}}_{0}, jq\mathsf{j}_{q}, jˉ\bar{\mathsf{j}}, j\mathsf{j}^{\star}, Qcl\mathsf{Q}^{\mathrm{cl}}, EθPch\mathsf{E}^{\mathrm{ch}}_{\theta_{\mathrm{P}}}, Πˉ\bar\Pi, B\mathsf{B}, eF\mathsf{e}_{F}, ϵψ\epsilon_{\psi}, κ\kappa, the constants e1,,e4\mathsf{e}_{1},\dots,\mathsf{e}_{4}, e^5\hat{\mathsf{e}}_{5} of claim 5 of The Closeness, Fourth-Moment and Discrepancy Hypotheses of the Estimand Assembly Lemma Supplied by an N-Agent Solution under the Cost Bound: Control-Lipschitz Bound on the Record Discrepancy, Close Records from the Path-Closeness Event, and the Explicit Mean-Square Bound (for data y1y_{1}, y2y_{2}, (Ξc)c(\Xi^{c})_{c} specified in claim 5), and, from The Van Trees Data of the Trimmed Synthetic Copy Supplied by an N-Agent Solution: Transport to the Record Support, Regularity of the Smoothed Joint Density, the Information Bound in the Injection Direction, and the Pairing of the Cell Coefficients with the Profile Response, the record support R+\mathsf{R}_{+} with (R+,ρ+)(\mathcal{R}_{+},\rho_{+}), the trimmed copy (Ωtr,Ftr,μtr)(\Omega^{\mathrm{tr}},\mathcal{F}^{\mathrm{tr}},\mu^{\mathrm{tr}}) with Θtr\Theta^{\mathrm{tr}}, Dtr\mathsf{D}^{\mathrm{tr}}, XtrX^{\mathrm{tr}}, the density gtrg^{\mathrm{tr}}, the moves aq=meq/Na_{q}=\mathsf{m}e_{q}/\sqrt{N}, the directions u\mathsf{u} and z=mw/N\mathsf{z}=\mathsf{m}w/N, the mixture-weight informations Iu\mathcal{I}_{\mathsf{u}}, Iz\mathcal{I}_{\mathsf{z}}, κmv\kappa_{\mathrm{mv}}, Jmf\mathsf{J}^{\mathrm{mf}} and einj\mathsf{e}_{\mathrm{inj}}.

Then the following hold.

1. (The two auxiliary lemmas apply; admissibility of the scales.) The hypotheses of Mean-Field-Side Data for the Van Trees Assembly: Regularity of the Drift Jacobian and Fluctuation Covariance Along a Trajectory Pair, the Fundamental-Solution Bound, the Profile Response and Its Restriction, and the Observation Information Matrix of the Fluctuation LQG Data hold for the data named above; the real numbers cQc_{Q}, CflwC_{\mathrm{flw}} and CctlC_{\mathrm{ctl}} are nonnegative, and the hypotheses of The Scale Set for the Van Trees Assembly: Eventual Validity of the Copy-Side Constraints, Lower Bounds for the Chernoff Exponents, and Vanishing of the Error Majorants hold for the scalar data named above; its constants Λ1\Lambda_{1}, Λ2\Lambda_{2}, Λ3\Lambda_{3}, ΛE\Lambda_{\mathcal{E}}, Γ\Gamma and CLipC_{\mathrm{Lip}} coincide with the constants of the same names of the copy instance. Moreover: RNNR_{N}\in\mathbb{N} and RN>NBsR_{N}>NBs; JNNJ_{N}\in\mathbb{N}, μN>0\mu_{N}>0, 0=b0c<b1c<<bJNc=RN0=\mathsf{b}^{c}_{0}<\mathsf{b}^{c}_{1}<\dots<\mathsf{b}^{c}_{J_{N}}=R_{N}, every cell has length μq=μN\mu_{q}=\mu_{N}, so that μmax=μmin=μN\mu_{\max}=\mu_{\min}=\mu_{N}, and d=dNd=d_{N}; mNN\mathsf{m}_{N}\in\mathbb{N} and ηN(0,1]\eta_{N}\in(0,1]. Consequently the settings of The Record-Driven Causal Intensity of the Open-Loop Aggregate Solution: Joint Measurability of the Record-Frozen Control, the Regularised Recursion Path, Non-Anticipation, and Measurability of the Likelihood and The Synthetic Copy: Independent Cell Structure, Deterministic-Count Clocks, the Copy Measure, and the Smoothed Joint Density of Parameter and Observation Record are instantiated by the copy instance, and so are the settings 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 and Pathwise Reduction of the Symmetrised Move Information on the Synthetic Copy: Removed-Clock Likelihoods, the Shifted Family, and the Averaging Bound once ϕc\phi_{c}, ϖ\varpi and the injection weights ww are available (claim 2). Hypothesis (W) holds with L=LNL=L_{N}, D=DND=D_{N}, its constant (written A0A_{0} there and AinsA^{\mathrm{ins}} here) being equal to ANA_{N} (an assertion involving only mN\mathsf{m}_{N}, DND_{N}, LNL_{N}, Λ1\Lambda_{1} and ss).

2. (The regularity hypotheses and the profile data.) Hypotheses (OC), (X), (AF) and (CP) hold for the choices made; in particular the tolerances εS=εS(N)\varepsilon_{S}=\varepsilon_{S}(N) and εctl=CLipεctl(N)\varepsilon_{\mathrm{ctl}}=C_{\mathrm{Lip}}\varepsilon_{\mathrm{ctl}}(N) are nonnegative real numbers. The comparison pair has continuous, hence measurable, components on [0,s][0,s]; each ϕc\phi_{c} is measurable with values in [0,B][0,B]; ϖ\varpi and ψˉ\bar\psi have measurable components with ϖuΛ|\varpi_{u}|\le\Lambda and ψˉuM|\bar\psi_{u}|\le\mathsf{M} for u[0,s]u\in[0,s], and ψˉ\bar\psi satisfies the profile response equation of 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 for the comparison pair and the profile ϖ\varpi; the observation information matrix D~(x)\tilde{D}(x) of the copy instance is the matrix D~(x)\tilde{D}(x) of Mean-Field-Side Data for the Van Trees Assembly: Regularity of the Drift Jacobian and Fluctuation Covariance Along a Trajectory Pair, the Fundamental-Solution Bound, the Profile Response and Its Restriction, and the Observation Information Matrix of the Fluctuation LQG Data. Consequently the profile energy of the copy instance is P=P\mathcal{P}=\mathsf{P}, the integral [0,s]ψˉu(D~(Su)ψˉu)du\int_{[0,s]}\bar\psi_{u}\cdot(\tilde{D}(S_{u})\bar\psi_{u})\,du appearing in Qcl\mathsf{Q}^{\mathrm{cl}} equals Q\mathsf{Q}, and

w1wN.\lVert w\rVert_{1}\le\mathsf{w}_{N}.

3. (The good event.) GmFG^{\mathsf{m}}\in\mathcal{F} and G=GmΩFG=G^{\mathsf{m}}\cap\Omega'\in\mathcal{F}; hypotheses (G) and (G') hold for GG; and

g=P(ΩG)=P(ΩGm)gN.\mathsf{g}=P(\Omega\setminus G)=P(\Omega\setminus G^{\mathsf{m}})\le\mathsf{g}_{N}.

4. (Hypotheses (P) and (L); availability of the chain.) Hypothesis (P) of Assembly of the Symmetrised Move Information on the Synthetic Copy: Prior Part, Record Part, and the Bad Part with Exponentially Small Under-Likelihood Mass holds with δ=δN\delta=\delta_{N}, θP=θN\theta_{\mathrm{P}}=\theta_{N} and xqP=xNx^{\mathrm{P}}_{q}=x_{N}; the constants ε0\varepsilon_{0}, EˉN\bar{E}_{N}, cN\mathsf{c}_{N}, EN\mathsf{E}^{\star}_{N}, eN\mathsf{e}^{\star}_{N}, κ0mf\kappa^{\mathrm{mf}}_{0}, EθPch\mathsf{E}^{\mathrm{ch}}_{\theta_{\mathrm{P}}}, Πˉ\bar\Pi and κmv\kappa_{\mathrm{mv}} of the copy instance equal, respectively, ε0,N\varepsilon_{0,N}, EˉN\bar{E}_{N}, cN\mathsf{c}_{N}, EN\mathsf{E}^{\star}_{N}, eN\mathsf{e}^{\star}_{N}, κ0,N\kappa_{0,N}, ENch\mathsf{E}^{\mathrm{ch}}_{N}, ΠˉN\bar\Pi_{N} and κNmv\kappa^{\mathrm{mv}}_{N} of the scale set. Hypothesis (L) of The Closeness, Fourth-Moment and Discrepancy Hypotheses of the Estimand Assembly Lemma Supplied by an N-Agent Solution under the Cost Bound: Control-Lipschitz Bound on the Record Discrepancy, Close Records from the Path-Closeness Event, and the Explicit Mean-Square Bound holds. Consequently the whole setting of The Van Trees Data of the Trimmed Synthetic Copy Supplied by an N-Agent Solution: Transport to the Record Support, Regularity of the Smoothed Joint Density, the Information Bound in the Injection Direction, and the Pairing of the Cell Coefficients with the Profile Response is instantiated by the NN-agent side, the intermediate time and the copy instance, so that its claims 1--4, the claims of The Closeness, Fourth-Moment and Discrepancy Hypotheses of the Estimand Assembly Lemma Supplied by an N-Agent Solution under the Cost Bound: Control-Lipschitz Bound on the Record Discrepancy, Close Records from the Path-Closeness Event, and the Explicit Mean-Square Bound and (by claim 3 of The Van Trees Data of the Trimmed Synthetic Copy Supplied by an N-Agent Solution: Transport to the Record Support, Regularity of the Smoothed Joint Density, the Information Bound in the Injection Direction, and the Pairing of the Cell Coefficients with the Profile Response) the claims of Information Bound on the Synthetic Copy with Mean-Field Data: Prior Energy of the Profile, Observation Information Along the Profile Response, and the Non-Close Record Mass are available for it. The constant c4=cQκ\mathsf{c}_{4}=c_{Q}\kappa^{\sharp} of claim 4 of The Closeness, Fourth-Moment and Discrepancy Hypotheses of the Estimand Assembly Lemma Supplied by an N-Agent Solution under the Cost Bound: Control-Lipschitz Bound on the Record Discrepancy, Close Records from the Path-Closeness Event, and the Explicit Mean-Square Bound equals c\mathsf{c}_{\star}, and the tolerances of the copy instance satisfy εS=εS(N)=εS,N\varepsilon_{S}=\varepsilon_{S}(N)=\varepsilon_{S,N} and εctl=CLipεctl(N)=εctl,N\varepsilon_{\mathrm{ctl}}=C_{\mathrm{Lip}}\varepsilon_{\mathrm{ctl}}(N)=\varepsilon_{\mathrm{ctl},N}.

5. (Domination of the constants by the scale-set majorants.) Put w1=wclkw_{1}=\mathsf{w}^{\mathrm{clk}} and w2=μmaxw_{2}=\mu_{\max}; then w1=w1,N0w_{1}=w_{1,N}\ge0 (claim 2) and w2=w2,N>0w_{2}=w_{2,N}>0, so that yi=(wi+2)1/2N1/32y_{i}=(\lceil w_{i}\rceil+2)^{1/2}N^{1/32} (i{1,2}i\in\{1,2\}) are defined and y1,y2>0y_{1},y_{2}>0. Let (Ξc)cL(\Xi^{c})_{c\in\mathcal{L}} be a family as furnished by claim 2 of Moment Toolkit for the Synthetic Copy: Square-Integrable Majorants of the Window Discrepancies of the Copy Clocks and the Fourth Moment of a Weighted Centred Cell-Count Sum for the data w1w_{1}, w2w_{2}, y1y_{1}, y2y_{2} (such a family exists by that claim), so that the constants e1,,e4\mathsf{e}_{1},\dots,\mathsf{e}_{4}, e^5\hat{\mathsf{e}}_{5} of claim 5 of The Closeness, Fourth-Moment and Discrepancy Hypotheses of the Estimand Assembly Lemma Supplied by an N-Agent Solution under the Cost Bound: Control-Lipschitz Bound on the Record Discrepancy, Close Records from the Path-Closeness Event, and the Explicit Mean-Square Bound are formed with y1y_{1}, y2y_{2} and this family. Then

e1=cΦˉ2Nx0S0,e2e2,N,Ξc2ΞN (cL),Hc1H (cL),e3e3,N,\mathsf{e}_{1}=|\mathbf{c}|\,\bar\Phi^{2}\sqrt{N}\,|\mathsf{x}_{0}-S_{0}|,\qquad \mathsf{e}_{2}\le\mathsf{e}_{2,N},\qquad \lVert\Xi^{c}\rVert_{2}\le\Xi_{N}\ (c\in\mathcal{L}),\qquad \lVert H^{c}\rVert_{1}\le H\ (c\in\mathcal{L}),\qquad \mathsf{e}_{3}\le\mathsf{e}_{3,N}, ααN,e4e4,N,k4kN,e^5e5,N,einj=einj,N,maxqLαaqaN,\lVert\alpha\rVert\le\alpha_{N},\qquad \mathsf{e}_{4}\le\mathsf{e}_{4,N},\qquad \mathsf{k}_{4}\le\mathsf{k}_{N},\qquad \hat{\mathsf{e}}_{5}\le\mathsf{e}_{5,N},\qquad \mathsf{e}_{\mathrm{inj}}=\mathsf{e}_{\mathrm{inj},N},\qquad \max_{q\in\mathsf{L}}|\alpha\cdot a_{q}|\le\mathsf{a}_{N},

and, for the information,

jˉjˉN,jjN,BBN,eFeF,N,ϵψϵψ,N,κκN,QclNQN,JmfNJN,IzIN.\bar{\mathsf{j}}\le\bar{\mathsf{j}}_{N},\qquad \mathsf{j}^{\star}\le\mathsf{j}^{\star}_{N},\qquad \mathsf{B}\le\mathsf{B}_{N},\qquad \mathsf{e}_{F}\le\mathsf{e}_{F,N},\qquad \epsilon_{\psi}\le\epsilon_{\psi,N},\qquad \kappa\le\kappa_{N},\qquad \frac{\mathsf{Q}^{\mathrm{cl}}}{N}\le\mathsf{Q}_{N},\qquad \frac{\mathsf{J}^{\mathrm{mf}}}{N}\le\mathsf{J}_{N},\qquad \mathcal{I}_{\mathsf{z}}\le\mathcal{I}_{N}.

6. (The trimmed-copy data in scale-set form.) With the data of claim 5: (a) the pair (cXtr,Dtr)(\mathbf{c}\cdot X^{\mathrm{tr}},\mathsf{D}^{\mathrm{tr}}) is measurable with respect to Ftr\mathcal{F}^{\mathrm{tr}} and B(R)Rs\mathcal{B}(\mathbb{R})\otimes\mathcal{R}_{s}, cXtr\mathbf{c}\cdot X^{\mathrm{tr}} is square-integrable on the trimmed copy, and the image measure of μtr\mu^{\mathrm{tr}} under this pair equals the image measure of PagP^{\mathrm{ag}} under (cXs,W(s))(\mathbf{c}\cdot X'_{s},W^{(s)}); (b) the probability space (Ωtr,Ftr,μtr)(\Omega^{\mathrm{tr}},\mathcal{F}^{\mathrm{tr}},\mu^{\mathrm{tr}}), the natural number dd, the σ\sigma-finite measure space (R+,R+,ρ+)(\mathsf{R}_{+},\mathcal{R}_{+},\rho_{+}), the square-integrable random variables Θqtr\Theta^{\mathrm{tr}}_{q} (qLq\in\mathsf{L}), the map Dtr\mathsf{D}^{\mathrm{tr}} (measurable with respect to Ftr\mathcal{F}^{\mathrm{tr}} and R+\mathcal{R}_{+}) and the density gtrg^{\mathrm{tr}} satisfy hypotheses (i), (ii), (iii) of The Multivariate van Trees Inequality and (iv') of Score Identities and the Mixture-Weight Directional van Trees Inequality, and Iz\mathcal{I}_{\mathsf{z}} is the mixture-weight information of that lemma in the direction z\mathsf{z} for the shifts aqa_{q} (qLq\in\mathsf{L}, n=dn=d); (c) the restriction ςR+\varsigma|_{\mathsf{R}_{+}} is measurable with respect to R+\mathcal{R}_{+} and the Borel σ\sigma-algebra, ς(Dtr)=ςR+Dtr\varsigma(\mathsf{D}^{\mathrm{tr}})=\varsigma|_{\mathsf{R}_{+}}\circ\mathsf{D}^{\mathrm{tr}} is square-integrable on the trimmed copy, and

αΘtr+ς(Dtr)cXtr2cΦˉ2Nx0S0+e2,N+e3,N+e4,N+e5,N;\bigl\lVert\alpha\cdot\Theta^{\mathrm{tr}}+\varsigma(\mathsf{D}^{\mathrm{tr}})-\mathbf{c}\cdot X^{\mathrm{tr}}\bigr\rVert_{2}\le|\mathbf{c}|\,\bar\Phi^{2}\sqrt{N}\,|\mathsf{x}_{0}-S_{0}|+\mathsf{e}_{2,N}+\mathsf{e}_{3,N}+\mathsf{e}_{4,N}+\mathsf{e}_{5,N};

(d) αzcψλ(s)einj,N\alpha\cdot\mathsf{z}\ge\mathbf{c}\cdot\psi_{\lambda}(s)-\mathsf{e}_{\mathrm{inj},N}, maxqLαaqaN\max_{q\in\mathsf{L}}|\alpha\cdot a_{q}|\le\mathsf{a}_{N}, and IzIN\mathcal{I}_{\mathsf{z}}\le\mathcal{I}_{N}.

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