TheoremBase

Penalty Pairs with Closed Score

A penalty pair has closed score if, along any sequence of random vectors converging in mean square whose scores are uniformly bounded, the limit law lies in the score domain and the scores converge weakly to the score at the limit.

Statement

In the setting of Wasserstein Spaces, Random Vectors, Vector Fields and Symmetric Matrices in Every Dimension: Standing Notation, let (D,DΣ,E,Σ)(\mathcal{D},\mathcal{D}_{\Sigma},\mathcal{E},\Sigma) be a penalty pair on P2(Rd)\mathcal{P}_{2}(\mathbb{R}^{d}). For ν∈DΣ\nu\in\mathcal{D}_{\Sigma} the score Σ(ν)\Sigma(\nu) lies in TνT_{\nu}, hence in the space L2(ν;Rd)L^{2}(\nu;\mathbb{R}^{d}) with its norm ∥⋅∥ν\lVert\cdot\rVert_{\nu}; for X∈L2(Ω;Rd)X\in L^{2}(\Omega;\mathbb{R}^{d}) with L(X)=ν\mathcal{L}(X)=\nu, the composition Σ(ν)∘X\Sigma(\nu)\circ X is the element of L2(Ω;Rd)L^{2}(\Omega;\mathbb{R}^{d}) of that clause, which satisfies ∥Σ(ν)∘X∥L2=∥Σ(ν)∥ν\lVert\Sigma(\nu)\circ X\rVert_{L^{2}}=\lVert\Sigma(\nu)\rVert_{\nu}. Convergence of a sequence in L2(Ω;Rd)L^{2}(\Omega;\mathbb{R}^{d}) is that of the metric dL2d_{L^{2}} fixed in Wasserstein Spaces, Random Vectors, Vector Fields and Symmetric Matrices in Every Dimension: Standing Notation (i), and weak convergence of a sequence in the real inner product space L2(Ω;Rd)L^{2}(\Omega;\mathbb{R}^{d}) is that of that definition.

(Closed score) The penalty pair (D,DΣ,E,Σ)(\mathcal{D},\mathcal{D}_{\Sigma},\mathcal{E},\Sigma) has closed score if the following holds for every nonnegative R∈RR\in\mathbb{R}. Let (Xn)n∈N(X_{n})_{n\in\mathbb{N}} be a sequence in L2(Ω;Rd)L^{2}(\Omega;\mathbb{R}^{d}) such that L(Xn)∈DΣ\mathcal{L}(X_{n})\in\mathcal{D}_{\Sigma} and

∥Σ(L(Xn))∥L(Xn)≤R\bigl\lVert\Sigma(\mathcal{L}(X_{n}))\bigr\rVert_{\mathcal{L}(X_{n})}\le R

for every n∈Nn\in\mathbb{N}, and suppose that (Xn)n∈N(X_{n})_{n\in\mathbb{N}} converges to XX in L2(Ω;Rd)L^{2}(\Omega;\mathbb{R}^{d}). Then L(X)∈DΣ\mathcal{L}(X)\in\mathcal{D}_{\Sigma}, and the sequence whose nn-th term is Σ(L(Xn))∘Xn\Sigma(\mathcal{L}(X_{n}))\circ X_{n} converges weakly to Σ(L(X))∘X\Sigma(\mathcal{L}(X))\circ X.

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