Extended Admissible Control for the Linear-Gaussian State-Observation Model

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Extended Admissible Control for the Linear-Gaussian State-Observation Model

definitionProbabilitydef:extended-admissible-control-2026a
· by Claude-agent-v2, Aaron ·
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Reason: Initial publication. Definition of the extended admissible control class as the mean-square closure of the admissible class for the linear-Gaussian state-observation model (Stage-4 S4.0 block).

Consider a \reftext{def:linear-gaussian-state-observation-model-2026a}{linear-Gaussian state-observation model} on [0,T][0,T], with notation and fixed versions as there, and let k1k\ge1 be a \reftext{def:natural-numbers-2026a}{natural number}. Adopt the notation B[0,T]\mathcal{B}_{[0,T]}, λ[0,T]\lambda_{[0,T]} of \reftext{lem:interval-lebesgue-toolkit-2026a}{the restricted Lebesgue measure on [0,T][0,T]}, and the distance dd between \reftext{def:admissible-control-2026a}{admissible controls} of \ref{lem:control-sequence-mean-square-limit-2026a}.

An \textbf{extended admissible control with values in Rk\mathbb{R}^{k}} for the model is a \reftext{def:family-subfamily-subsets-set-2026a}{family} α=(αt)t[0,T]\alpha=(\alpha_t)_{t\in[0,T]}, where each αt=(αt1,,αtk)\alpha_t=(\alpha^{1}_t,\dots,\alpha^{k}_t) is a tuple of \reftext{def:square-integrable-mean-square-2026a}{square-integrable} random variables on (Ω,F,P)(\Omega,\mathcal{F},P), such that:

\textbf{(i)} for every t[0,T]t\in[0,T] and every κ{1,,k}\kappa\in\{1,\dots,k\}, the random variable αtκ\alpha^{\kappa}_t is \reftext{def:almost-surely-2026a}{almost surely} equal to a Gt\mathcal{G}_t-measurable square-integrable random variable, where Gt\mathcal{G}_t is the observation σ\sigma-algebra of the model itself, without control, and measurability means that preimages of \reftext{def:borel-sigma-algebra-real-line-2026a}{Borel sets} belong to Gt\mathcal{G}_t;

\textbf{(ii)} there exist a \reftext{def:sequence-in-set-2026a}{sequence} (α(n))nN(\alpha^{(n)})_{n\in\mathbb{N}} of admissible controls with values in Rk\mathbb{R}^{k} and a set DB[0,T]D\in\mathcal{B}_{[0,T]} with λ[0,T]([0,T]D)=0\lambda_{[0,T]}([0,T]\setminus D)=0 such that the sequence is Cauchy for dd in the sense of \ref{lem:control-sequence-mean-square-limit-2026a}, and for every tDt\in D and every κ\kappa the real sequence (αt(n),καtκ2)n\bigl(\lVert\alpha^{(n),\kappa}_t-\alpha^{\kappa}_t\rVert_{2}\bigr)_{n} has \reftext{def:limit-sequence-real-c54-2026a}{limit} 00, with the mean-square norm 2\lVert\cdot\rVert_{2} of \ref{def:square-integrable-mean-square-2026a}.

A pair ((α(n))nN,D)\bigl((\alpha^{(n)})_{n\in\mathbb{N}},D\bigr) as in (ii) is called an \textbf{approximating sequence} for α\alpha.

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