TheoremBase

Composition of a Square-Integrable Vector Field with a Random Vector, and the Lifted Score: Isometry, Norm, Weak Identity and Second-Moment Identity

Composing a square-integrable vector field with a random vector of law mu gives a well-defined square-integrable random vector, and this composition is a linear isometry from L2(muL^2(mu;Rd)R^d) into L2(OmegaL^2(Omega;Rd)R^d). For a law with finite Fisher information the lifted score has squared norm equal to the Fisher information, pairs with lifted gradients of test functions to minus the expectation of the Laplacian, and pairs with X itself to minus the dimension.

Statement

In the setting of Square-Integrable Vector Fields Against a Probability Measure on Euclidean Space, and Test Functions: Standing Notation, let X∈L2(Ω;Rd)X\in L^{2}(\Omega;\mathbb{R}^{d}) and let μ=L(X)\mu=\mathcal{L}(X) be its law, which belongs to P2(Rd)\mathcal{P}_{2}(\mathbb{R}^{d}) by The Space of Square-Integrable Random Vectors is a Real Hilbert Space; Its Laws Have Finite Second Moment; Constants and Translations (ii). Let L2(μ;Rd)L^{2}(\mu;\mathbb{R}^{d}) be the space of square-integrable vector fields with respect to μ\mu, let id\mathrm{id} be the identity map of Rd\mathbb{R}^{d}, an element of L2(μ;Rd)L^{2}(\mu;\mathbb{R}^{d}) by Basic Properties of the Tangent Space: Closed Subspace, the Identity Map Belongs to It, Second-Moment Limits, and Representation of Bounded Functionals on Gradients (ii), and let finite Fisher information, the set P2I(Rd)\mathcal{P}_{2}^{\mathcal{I}}(\mathbb{R}^{d}), the score ξμ\xi_{\mu} and the Fisher information I(μ)\mathcal{I}(\mu) be as defined there. The natural number dd is read as a real number where a real number is required, and E\mathbb{E} is the expectation on (Ω,F,P)(\Omega,\mathcal{F},P).

1. (Composition) For ξ∈L2(μ;Rd)\xi\in L^{2}(\mu;\mathbb{R}^{d}), the composition ξ∘X:Ω→Rd\xi\circ X:\Omega\to\mathbb{R}^{d} of a representative of ξ\xi with a representative of XX is a square-integrable random vector whose class in L2(Ω;Rd)L^{2}(\Omega;\mathbb{R}^{d}) does not depend on the two representatives chosen; this class is denoted ξ∘X\xi\circ X. The map ξ↦ξ∘X\xi\mapsto\xi\circ X from L2(μ;Rd)L^{2}(\mu;\mathbb{R}^{d}) to L2(Ω;Rd)L^{2}(\Omega;\mathbb{R}^{d}) is linear and preserves inner products,

⟨ξ∘X,η∘X⟩L2=⟨ξ,η⟩μ,∥ξ∘X∥L2=∥ξ∥μ(ξ,η∈L2(μ;Rd)),\langle\xi\circ X,\eta\circ X\rangle_{L^{2}}=\langle\xi,\eta\rangle_{\mu},\qquad \lVert\xi\circ X\rVert_{L^{2}}=\lVert\xi\rVert_{\mu}\qquad(\xi,\eta\in L^{2}(\mu;\mathbb{R}^{d})),

and id∘X=X\mathrm{id}\circ X=X.

2. (The lifted score) If μ∈P2I(Rd)\mu\in\mathcal{P}_{2}^{\mathcal{I}}(\mathbb{R}^{d}), then ∥ξμ∘X∥L22=I(μ)\lVert\xi_{\mu}\circ X\rVert_{L^{2}}^{2}=\mathcal{I}(\mu) and, for every test function ψ∈Cc∞(Rd)\psi\in C_{c}^{\infty}(\mathbb{R}^{d}),

⟨ξμ∘X,∇ψ∘X⟩L2=−∫RdΔψ dμ=−E[Δψ∘X].\langle\xi_{\mu}\circ X,\nabla\psi\circ X\rangle_{L^{2}}=-\int_{\mathbb{R}^{d}}\Delta\psi\,d\mu=-\mathbb{E}[\Delta\psi\circ X].

3. (Second-moment identity) For every ν∈P2I(Rd)\nu\in\mathcal{P}_{2}^{\mathcal{I}}(\mathbb{R}^{d}), whether or not it is the law of an element of L2(Ω;Rd)L^{2}(\Omega;\mathbb{R}^{d}), ⟨ξν,id⟩ν=−d\langle\xi_{\nu},\mathrm{id}\rangle_{\nu}=-d, the identity map lying in L2(ν;Rd)L^{2}(\nu;\mathbb{R}^{d}) by Basic Properties of the Tangent Space: Closed Subspace, the Identity Map Belongs to It, Second-Moment Limits, and Representation of Bounded Functionals on Gradients (ii). In particular, if μ∈P2I(Rd)\mu\in\mathcal{P}_{2}^{\mathcal{I}}(\mathbb{R}^{d}), then

⟨ξμ∘X,X⟩L2=−d.\langle\xi_{\mu}\circ X,X\rangle_{L^{2}}=-d .

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