Reason: First publication. The extended good-set stopping time of the realized control, with the clipped-out time and the deviation-energy bound Y_t <= C_S E_t^{1/2}; the base of the fluctuation lower-bound cascade.
Statement
Adopt the setting and notation of the good-set stopping-time lemma, together with those of the progressive measurability lemma for the realized control and of the causality and adaptedness lemma for the realized mean-field flow on which it rests: the affine-controlled transition-rate family(β0,β1) on l states with compact convex control set A⊆Rm; its transition-rate familyβ, together with the constants R=supa∈A∣a∣, K1, the rate bound B and the state-Lipschitz constant Λb of that lemma, its aggregate state drift b, and the constant K2=2l(l−1)K1 fixed in the preamble of the flow stability lemma and used in claim 1 there; the horizon T>0; the solution of the controlled N-agent dynamics on the N-agent driving system(Ω,F,P) for an A-valuedobservation-driven control policy, with observation filtration (Gt)t∈[0,T] and system filtration (Ftsys)t∈[0,T]; the realized control α^ of the realized-control lemma, each of whose paths s↦α^(s,ω) takes all its values in A; the set UA of A-valued controls, with the convention of claim 5 of the definition of the Lebesgue space of square-integrable vector-valued maps by which an element is denoted by the same symbol as a representative of it, and the admissible representatives and the mean-field flow of claim 2 of the flow stability lemma, written S(z0,ξ) here for an initial state z0∈Δl and a control ξ∈UA; the point x0 of the probability simplexΔl and the realized mean-field flow Φt(ω)=St(x0,α^(ω)); a map S∗:[0,T]→Rl with continuous components and the deviation process Yt(ω)=∣Φt(ω)−St∗∣ with supremum Y, where ∣⋅∣ is the Euclidean norm; a map A:[0,T]→A each of whose components is measurable with respect to the trace Borel σ-algebraB[0,T] on [0,T] and the Borel σ-algebra of the real line, and the control energy process Et(ω)=∫[0,t]∣α^(s,ω)−As∣2ds of claim 5 of the progressive measurability lemma; and real numbers εY and cE>0 with the times τY, τE and the good-set time τ=min(τY,τE) of the good-set stopping-time lemma. Stopping times are those of whichever of the two filtrations (Gt)t∈[0,T] and (Ftsys)t∈[0,T] is named, with time index restricted to [0,T]; for a function θ:Ω→[0,T] and t∈[0,T] we write {t<θ} for {ω∈Ω:t<θ(ω)}, and similarly for the other order relations; ∫[0,t]⋅ds denotes the Lebesgue integral over the compact interval[0,t], taken to be 0 for t=0; E is the expectation; exp is the exponential function; and ⋅ is the nonnegative square root. Throughout, a real-valued function on a subinterval I of the real numbersR 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 real numbers δ>0 and θout>0. Define Iout:[0,T]×Ω→R by
Isout(ω)=1 if ∣α^(s,ω)−As∣>δ,Isout(ω)=0 otherwise,
and the clipped-out time process
Ot(ω)=∫[0,t]Isout(ω)ds(t∈[0,T],ω∈Ω).
For ω∈Ω put HO(ω)={t∈[0,T]:Ot(ω)≥θout}, define τout(ω) to be the greatest lower bound of HO(ω) if HO(ω)=∅ and T otherwise (the greatest lower bound existing by the existence theorem for infima, the set being nonempty in the case at hand and bounded below by 0), and define the extended good-set time
1. (The clipped-out time process.) The family (Isout)s∈[0,T] is progressively measurable with respect to (Gt)t∈[0,T], with values in {0,1}. The family O=(Ot)t∈[0,T] is progressively measurable with respect to (Gt)t∈[0,T], hence also with respect to (Ftsys)t∈[0,T]; each Ot is Gt-measurable; and for all 0≤t0≤t≤T and every ω∈Ω,
0≤Ot(ω)−Ot0(ω)≤t−t0,
so that every path t↦Ot(ω) is nondecreasing and continuous on [0,T] with O0(ω)=0 and OT(ω)≤T. Moreover
δ2Ot(ω)≤Et(ω)for every t∈[0,T] and every ω∈Ω.
2. (Stopping and hitting.)τout is a stopping time of (Gt)t∈[0,T] and of (Ftsys)t∈[0,T], and {τout≤q}={Oq≥θout} for every q∈[0,T). For every ω∈Ω and every t∈[0,T] with t<τout(ω) one has Ot(ω)<θout; furthermore Omin(t,τout(ω))(ω)≤θout for every t∈[0,T] and ω∈Ω; and Oτout(ω)(ω)≥θout whenever τout(ω)<T, so that {τout<T}⊆{OT≥θout}.
3. (The extended good-set time.)τ∗ is a stopping time of (Gt)t∈[0,T] and of (Ftsys)t∈[0,T], and {t<τ∗}∈Gt for every t∈[0,T]. For every ω∈Ω and every t∈[0,T] with t<τ∗(ω),
Yt(ω)<εY,Et(ω)<cE,Ot(ω)<θout.
For every ω∈Ω and every t∈[0,T], Emin(t,τ∗(ω))(ω)≤cE and Omin(t,τ∗(ω))(ω)≤θout, and if ∣x0−S0∗∣<εY then also Ymin(t,τ∗(ω))(ω)≤εY. Finally
P(τ∗<T)≤P(Y≥εY)+P(ET≥cE)+P(OT≥θout),
all three sets on the right belonging to GT.
4. (Deviation-energy bound.) The path A is an admissible representative of an element of UA, written ζA (its components are measurable, every value lies in A, and it is bounded by R, hence square-integrable). Suppose that S∗ takes values in Δl, that S0∗=x0, and that
St∗γ=x0γ+∫[0,t]bγ(Ss∗,As)dsfor all t∈[0,T] and γ∈{1,…,l}.
Then St∗=St(x0,ζA) for every t∈[0,T], and for every ω∈Ω and every t∈[0,T],
where 1[0,t] is the function on [0,T] equal to 1 on [0,t] and 0 elsewhere.
5. (Escape probability.) Assume the hypotheses of claim 4 and εY>0. Set m∗=min(εY2/CS2,cE,δ2θout) if CS>0 and m∗=min(cE,δ2θout) if CS=0; then m∗>0. The function ω↦Eτ∗(ω)(ω) is a random variable with values in [0,4R2T],
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