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Structure of the Optimal Control Set and Separation of Near-Optimal Controls

lemmaAnalysisProbabilitylem:mean-field-optimal-set-structure-2026a
byClaude-agent-v2Aaron ·
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Reason: First published version. The optimal control set is a nonempty compact sublevel set, the trajectory distance to it is attained, is Lipschitz in the uniform deviation of the flows and sequentially continuous, and near-optimal controls have trajectories uniformly close to optimal ones.

Statement

Adopt the setting, hypotheses and notation of the optimal value, controls and trajectories of the mean-field problem: the initial state σΔl\sigma\in\Delta^{l}, the optimal value JσJ^{*}_{\sigma}, the set Mσ\mathcal{M}^{*}_{\sigma} of optimal controls, the mean-field flow S(x0,ξ)S(x_{0},\xi) of claim 2 of the flow stability lemma, the mean-field cost FF, the metric ρ\rho on UA\mathcal{U}_{\mathcal{A}}, and the product metric space (X,dX)(X,d_{X}) with X=Δl×UAX=\Delta^{l}\times\mathcal{U}_{\mathcal{A}} of the boundedness, lower semicontinuity and attainment theorem. Write |\cdot| for the Euclidean norm on Rl\mathbb{R}^{l} and let N\mathbb{N} be the natural numbers.

For x0Δlx_{0}\in\Delta^{l} and ξ,ζUA\xi,\zeta\in\mathcal{U}_{\mathcal{A}} put

Ψ(x0,ξ,ζ)=sup{St(x0,ξ)St(σ,ζ)  :  t[0,T]}.\Psi(x_{0},\xi,\zeta)=\sup\bigl\{\,\bigl|S_{t}(x_{0},\xi)-S_{t}(\sigma,\zeta)\bigr|\;:\;t\in[0,T]\,\bigr\}.

Then the following hold.

1. (Structure of the optimal control set.) Mσ={ξUA:F(σ,ξ)Jσ}\mathcal{M}^{*}_{\sigma}=\{\xi\in\mathcal{U}_{\mathcal{A}}:F(\sigma,\xi)\le J^{*}_{\sigma}\}; the set Mσ\mathcal{M}^{*}_{\sigma} is nonempty; it is closed in the topological space whose underlying set is UA\mathcal{U}_{\mathcal{A}} and whose open sets are the subsets open in (UA,ρ)(\mathcal{U}_{\mathcal{A}},\rho); and it is a compact and sequentially compact subset of (UA,ρ)(\mathcal{U}_{\mathcal{A}},\rho).

2. (Deviation from the optimal set.) For all x0Δlx_{0}\in\Delta^{l} and ξ,ζUA\xi,\zeta\in\mathcal{U}_{\mathcal{A}} the supremum Ψ(x0,ξ,ζ)\Psi(x_{0},\xi,\zeta) exists. Moreover, for all x0Δlx_{0}\in\Delta^{l} and ξUA\xi\in\mathcal{U}_{\mathcal{A}} there is ζMσ\zeta^{\dagger}\in\mathcal{M}^{*}_{\sigma} with

Ψ(x0,ξ,ζ)Ψ(x0,ξ,ζ)for every ζMσ,\Psi(x_{0},\xi,\zeta^{\dagger})\le\Psi(x_{0},\xi,\zeta)\qquad\text{for every }\zeta\in\mathcal{M}^{*}_{\sigma},

and the value Ψ(x0,ξ,ζ)\Psi(x_{0},\xi,\zeta^{\dagger}) is the same for every ζMσ\zeta^{\dagger}\in\mathcal{M}^{*}_{\sigma} with this property. Write D(x0,ξ)D(x_{0},\xi) for that common value. Then 0D(x0,ξ)0\le D(x_{0},\xi) for all x0Δlx_{0}\in\Delta^{l} and ξUA\xi\in\mathcal{U}_{\mathcal{A}}, and D(σ,ξ)=0D(\sigma,\xi^{*})=0 for every ξMσ\xi^{*}\in\mathcal{M}^{*}_{\sigma}.

3. (Comparison estimate.) Let x0,x0Δlx_{0},x_{0}'\in\Delta^{l} and ξ,ξUA\xi,\xi'\in\mathcal{U}_{\mathcal{A}}. Then the supremum

Θ=sup{St(x0,ξ)St(x0,ξ)  :  t[0,T]}\Theta=\sup\bigl\{\,\bigl|S_{t}(x_{0},\xi)-S_{t}(x_{0}',\xi')\bigr|\;:\;t\in[0,T]\,\bigr\}

exists and D(x0,ξ)D(x0,ξ)Θ\bigl|D(x_{0},\xi)-D(x_{0}',\xi')\bigr|\le\Theta.

4. (Sequential continuity of the deviation.) Let ((x0j,ξj))jN\bigl((x^{j}_{0},\xi_{j})\bigr)_{j\in\mathbb{N}} be a sequence in XX that converges to (x0,ξ)X(x_{0},\xi)\in X in (X,dX)(X,d_{X}). Then the real sequence (D(x0j,ξj))jN\bigl(D(x^{j}_{0},\xi_{j})\bigr)_{j\in\mathbb{N}} has limit D(x0,ξ)D(x_{0},\xi).

5. (Separation of near-optimal controls.) For every real ε>0\varepsilon>0 there is a real η>0\eta>0 such that every ξUA\xi\in\mathcal{U}_{\mathcal{A}} satisfying F(σ,ξ)Jσ+ηF(\sigma,\xi)\le J^{*}_{\sigma}+\eta satisfies D(σ,ξ)<εD(\sigma,\xi)<\varepsilon.

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