Reason: Re-version with substantive repairs: compensator adaptedness and progressive measurability established rigorously, Step-5 majorant pulled out before the limit, observation-drift bounds correctly attributed, d' declared, indicator added in (c), index collisions (rows/states/exponents) resolved; references moved to the current model layer. · 9,534 chars · 25 deps · depth 18
Statement
Adopt the setting of the compensated counters of the controlled N-agent dynamics: a transition-rate familyβ with rate bound B on l states with control dimension m, an observation-rate familyβ~ with rate bound B~ and l~ channels, a horizon T>0, an N-agent driving system(Ω,F,P), an observation-driven control policyh, and a solution on [0,T] with regular event Ω0, state processes σi, empirical state measure Σt, observation counters N~ti,υ, consumed clock times T~ti,υ, observation total c~t, and system filtration (Ftsys)t∈[0,T]. Write Mt(i,υ)=N~ti,υ−T~ti,υ for the compensated counters of the compensated-counters lemma attached to the observation clock labelsa=(i,υ), i∈{1,…,N}, υ∈{1,…,l~}; at every ω∈Ω0 let τ1<⋯<τc~T be the jump times of the observation total in [0,T] and υ1,…,υc~T their channels, as in condition 5 of the solution definition (where c~t is written Kt). Let b~ be the aggregate observation drift of β~, with b~(Σ) the vector with components b~1(Σ),…,b~l~(Σ), and let Mtγ (γ∈{1,…,l}) be the state martingales of the martingale decomposition. Write E for the expectation, square-integrable for membership in the mean-square space, integrable for finiteness of the expectation of the absolute value, 1D for the function equal to 1 on a set D and 0 off D, eυ for the υ-th standard basis vector of Euclidean spaceRl~, and N=N1/2 for the nonnegative square root; vectors are identified with one-column matrices and products of matrices are matrix products, with (⋅)⊤ the transpose.
Throughout, a real-valued function on a subinterval I of the real numbers R is called continuous on I when it is continuous relative to I, both I and the codomain R carrying the metric of the real line. Fix a natural number d≥1 and an assignment F of a real matrix Ft with d rows and l~ columns to each t∈[0,T] such that every entry map t↦Ftpυ is continuous on [0,T], and fix a real Fˉ≥0 with ∣Ftpυ∣≤Fˉ for all p, υ, t. Fix likewise a natural number d′≥1 and an assignment G of a real matrix Gt with d′ rows and l~ columns to each t∈[0,T], every entry map t↦Gtqυ continuous on [0,T], with a real Gˉ≥0 satisfying ∣Gtqυ∣≤Gˉ for all q, υ, t. Define, for t∈[0,T] and at every ω∈Ω, the weighted observation sum and the weighted compensated observation sum
where the sum is 0 when c~t=0 (in particular off Ω0, where all counters vanish by part (vii)(c) of the existence theorem), and the integral is the componentwise Lebesgue integral over the compact interval[0,t] of an integrand with values bounded by Fˉl~B~ in absolute value, componentwise progressively measurable by conclusion (a) together with claim 3 of the progressive-measurability toolkit (the integrand, and hence the integral, vanishes at every ω∈/Ω0, where the factor 1Ω0 vanishes identically), the integral being 0 for t=0.
(a) (Representation and regularity.) At every ω∈Ω0: for each υ, the jump times in [0,T] of the path t↦∑i=1NN~ti,υ are exactly the τj with υj=υ, each jump having size 1; the identity
i=1∑NT~ti,υ=N∫[0,t]b~υ(Σs)ds
holds for every t∈[0,T] and every υ; and for all 0≤r≤t≤T and every p∈{1,…,d},
and, at every ω∈Ω, the path t↦J~tF,p is right-continuous on [0,T], with J~0F=0 everywhere and J~F≡0 off Ω0. Moreover: for every υ∈{1,…,l~} the family (s,ω)↦1Ω0b~υ(Σs), s∈[0,T], is progressively measurable with respect to (Ftsys)t∈[0,T]; and for every p∈{1,…,d} the component family (J~tF,p)t∈[0,T] is progressively measurable with respect to (Ftsys)t∈[0,T] — in particular each J~tF,p is an Ftsys-measurable random variable and (t,ω)↦J~tF,p(ω) is measurable for the product σ-algebra of the trace Borel σ-algebra on [0,T] and F — with E[∣J~tF,p∣k]<∞ for every natural number k≥1.
(b) (First-order identity.) Let r∈[0,T] and let Z be an Frsys-measurable square-integrable random variable. Then for every t∈[r,T] and every p∈{1,…,d} the product Z(J~tF,p−J~rF,p) is integrable and
E[Z(J~tF,p−J~rF,p)]=0.
In particular (taking Z=1D, D∈Frsys) each component (J~tF,p)t∈[0,T] is a square-integrable martingale with respect to (Ftsys)t∈[0,T] (time index restricted to [0,T]), vanishing at 0 everywhere.
(c) (Second-order identity.) Let r∈[0,T] and let Z be an Frsys-measurable random variable whose square Z2 is square-integrable. Then for every t∈[r,T], every p∈{1,…,d}, and every q∈{1,…,d′}, the products below are integrable and
the inner integral existing at every ω as the Lebesgue integral over [r,t] of a measurable function bounded in absolute value by FˉGˉl~B~, and read as 0 when t=r. In particular, with Z=1 and r=0: writing D(Σ) for the diagonal matrix with l~ rows and columns and diagonal entries b~1(Σ),…,b~l~(Σ),
(d) (Cross identity with the state martingales.) Let r and Z be as in (c). Then for every t∈[r,T], every γ∈{1,…,l}, and every p∈{1,…,d}, the product below is integrable and
E[Z(Mtγ−Mrγ)(J~tF,p−J~rF,p)]=0.
(e) (Fourth-moment bound.) For every t∈[0,T] and every p∈{1,…,d},
E[(J~tF,p)4]≤11(1+Fˉ)4(1+l~B~T)2<∞;
in particular the bound does not depend on N, on the driving system, or on the solution.
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.