Products with an infinite factor are read with the convention 0⋅∞=0 (if cΘ=0, the rate bound forces β, and hence Θ and every left-hand side below, to vanish identically). Then, for all γ,δ∈{1,…,l}:
(a) (Pointwise deviation bound.) At every ω∈Ω and every s∈[0,T],
Θγδ(Σs,αs)−Θγδ(Ss,As)≤NcΘ∣zs∣.
(b) (Mean deviation bound.) For every s∈[0,T], with the expectation E[Θγδ(Σs,αs)] finite, and bounded and measurable as a function of s, by clause (a) of the weighted second-moment evolution lemma (applied with the constant matrix family Zt=0, whose densities z˙γδ≡0 are continuous), and with the right-hand side valued in [0,∞],
(c) (Integrated deviation bound.) The function s↦Θγδ(Ss,As) is continuous on [0,T], relative to [0,T], both [0,T] and the codomain R carrying the metric of the real line — by continuity of compositions and continuity of sums and products along the continuous trajectory pair, the vector map s↦(Ss,As) being continuous into Rl+m in the Euclidean sense because d((Ss,As),(St,At))≤∑γ=1l∣Ssγ−Stγ∣+∑j=1m∣Asj−Atj∣ by claim 1 of the componentwise estimates, each summand controlled by the componentwise continuity of the trajectory pair, and each β(σ,σ′,⋅,⋅), over ordered pairs σ=σ′, agreeing on the probability simplex-control product Δl×A with the continuous extension βˉ(σ,σ′,⋅,⋅), and the Euclidean and metric notions of continuity agreeing for real-valued maps by claim 1 of the continuity agreement lemma — and hence, by the extreme value theorem, attains a maximum and a minimum on [0,T] and is in particular bounded there, so the function s↦E[Θγδ(Σs,αs)]−Θγδ(Ss,As) is measurable and bounded and its Lebesgue integral over [0,T] is defined and finite. With
S=∫[0,T]E[∣st∣2]dtandA2=∫[0,T]E[∣at∣2]dt
(the script S is distinct from the trajectory S, and A2, as in the a priori second-moment bound, from the control set A), both well defined in [0,∞] with S≤4NT by clause (a) of the a priori second-moment bound and monotonicity of the integral, one has, in [0,∞],
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