Reason: First publication. Ledger decomposition of the recentred N-agent cost over the block cascade, with the far field cancelled against the completion-of-squares integrand and an explicit error budget, retaining the near-field filtering term.
Statement
Adopt the setting, notation, parameters and standing hypotheses of the tracked energy bound lemma, formed for one and the same data as there. In particular: the affine-controlled transition-rate family(β0,β1) on l states with compact convex control set A⊆Rm and control bound R, and its transition-rate familyβ with rate bound B; the horizon T>0; the population cost data(L,G) with its twice continuously differentiable extension, and the twice continuously differentiable extension(U,V,βˉ) of β (whose derivative bound is not used below, so that the letter K is free here for the number of blocks); the solution of the controlled N-agent dynamics with regular event Ω0, empirical state measure Σ, control α, observation filtration (Gt)t∈[0,T] and system filtration (Ftsys)t∈[0,T]; the stationary mean-field triple(S,A,P) with the bound CP; the fluctuation processess, a and z=(s,a); the realized mean-field flow Φ, the deviation Y, the energy E, the real q0>0, and the clipping threshold of the extended good-set stopping-time lemma, written δ there and δcl here because the letter δ is reserved below for a state index; the noise majorant Q with E[Q4]≤cQκ0N−2 and the noise event N={Q>q0}; the block data T0, K, tk, hk, the levels Lk and the reals ε1, λc, λo, the constants Ca, Λ⋆ and CS, the anchored clocks σ(k), the good sets Gk, the leave events Dk, the block energy increments ΔkE and the tracked energy Z=N∑k=0K−1E[1GkΔkE]; the quantities Dt, DG and JN with the bounds CD, CDG and the constant C3 of the first-order expansion lemma for the recentred N-agent cost; the constants cJ, ρ∗, r0, c⋆, Ctg∨, Cns, εtg, the real ϵ>0 and the radius ρG∗; and the moduli of continuity ωL, ωb, ωG and the radius ρt=d((Σt,αt),(St,At)) of the second-order expansion theorem, d being the Euclidean distance and ∣⋅∣ the Euclidean norm. Adopt likewise the standing hypotheses (A), (U), (JC) with constant cJ>0, (LipC), the optimality [A]∈MS0∗, (TG), the standing hypothesis on S∗=S of the block cascade lemma, the smallness hypothesis (SM), and the additional requirement ε1+q0≤ρG∗ imposed in claim 4 of the tracked energy bound lemma.
Adopt in addition the setting and notation of the stopped completion-of-squares lemma and of the cascade filtering lemma, formed for the same data, and with them the setting of the completion-of-squares theorem: the fluctuation Hessian coefficientsHij(t) (i,j∈{1,…,l+m}) and terminal coefficients Fγδ; the matrices Et, Bt, Qt, Vt, Rt and F^ and the entry pairing x⋅My=∑p,qMpqxpyq defined there; hypotheses (H1) and (H2) with the Riccati family Z=(Zt)t∈[0,T], Wt=ZtBt+21Vt and ZT=F^; the processes ut=at+Rt−1WtTst and es=gs−Esss−Bsas; the constants CZ and ce; and, from the cascade filtering lemma, the matrix family Ξt=WtRt−1WtT and the tracked events of its claim 1. Adopt also the aggregate fluctuation covarianceΘ of β, write Θs⋆=Θ(Ss,As), and adopt the constant cΘ of the covariance deviation lemma. Hypothesis (H1) holds, with r=cJ, by claim 5 of the localized joint coercivity lemma under (JC); hypothesis (H2) is assumed here.
Two notational collisions are resolved as follows. The matrices Qt of the completion-of-squares theorem always carry their time subscript and are distinct from the noise majorant Q, which never carries one; likewise Vt is distinct from the control-side open set V of the extension (U,V,βˉ), and Rt from the control bound R. The quantity written ΞK in claim 6 of the block cascade lemma is here written Υesc, the letter Ξ being reserved for the matrix family Ξt above.
Near-field parameters. Let η>0 and ϱ>0 be real numbers, and let ρη>0 be a real number such that
21(l+m)(ωL(v)+CPωb(v))≤ηfor every v∈[0,ρη],
which exists by part (a) of the second-order expansion theorem, exactly as the radius of claim 2 of the localized joint coercivity lemma is obtained there. Assume the near-field smallness condition
(SN)(ε1+q0)2+ϱ2≤ρη2.
The radius ρG∗ is fixed here more precisely than in the tracked energy bound lemma: let ρG∗>0 be a real number with 21lωG(v)≤ϵ for every v∈[0,ρG∗], which exists by part (a) of the second-order expansion theorem. By the terminal half of claim 1 of the localized joint coercivity lemma such a number has the property demanded of the radius in claim 4 of that lemma, so this is an admissible choice of the ρG∗ appearing in claim 4 of the tracked energy bound lemma.
Constants. Each of the families t↦Hij(t), t↦Wtγj, t↦Vtγj, t↦Qtγδ, t↦(WtRt−1WtT)γδ and s↦Θs⋆γδ is continuous on [0,T] — the first by the extension definitions together with the continuity of t↦(St,At) and of t↦Pt, the next four by conclusion (a) of the completion-of-squares theorem and (H2), and the last by clause (c) of the covariance deviation lemma — and hence bounded there by the extreme value theorem. Fix reals CH≥0, CM≥0 and Θˉ≥0 bounding, in absolute value, the first family, the next four families, and the last family respectively, for all indices and all points of [0,T], and set
Derived quantities. Write 1D for the indicator of a set D, E for the expectation, P for the probability of the driving system (the stationary co-state, also written P, always carries a time subscript), ∫[a,b]⋅ds for the Lebesgue integral over a compact interval, and, for a nonnegative real x, x1/2 for the nonnegative square root and x3/4=(x1/4)3 as in the restricted moments lemma. For k∈{0,…,K−1} and s∈[0,T] set
2. (The near-field tracked events are observable.) For every k∈{0,…,K−1} and every s∈[tk,T] the set Tknr(s) is an event belonging to Gs; consequently, by claim 3 of the cascade filtering lemma, for any choice of conditional expectations defining the filtering error εs there,
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.