Conditional-Variance Lower Bound for the Completed-Square Control Energy
lemmaProbabilitylem:fluctuation-conditional-variance-2026aAdopt the setting, hypotheses (H1)--(H2), and notation of the completion-of-squares theorem for the fluctuation cost: in particular the fluctuation processes and of a solution of the controlled -agent dynamics about a mean-field trajectory pair , the symmetric positive definite matrices (conclusion (a) of that theorem, under (H1)) with inverses (existing, symmetric, and positive definite), the Riccati family of (H2) with , the completed-square control deviation , and the matrix entry notation , , . Let be the observation filtration of the solution definition, as in the adaptedness lemma, and write for the expectation.
Fix and assume that each component () is square-integrable. Each component is square-integrable, being a random variable with everywhere (the probability simplex having squared Euclidean diameter at most ). By the existence and uniqueness theorem for conditional expectation, for each there is a conditional expectation of given ; fix such a choice, write , and set componentwise. Then:
1. (Conditional-variance lower bound.) The random variables and are integrable, and
2. (Trace form and independence of the choice.)
and each is unchanged if the conditional expectations are replaced by any other conditional expectations of the given .
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