TheoremBase

On Functions of Finitely Many Fourier Modes the Free-Field Score Drift is Minus the Ornstein-Uhlenbeck Generator with Drift the Laplacian Minus One

For functions of finitely many Fourier modes, the score drift of the free field equals minus the integral of the Ornstein-Uhlenbeck generator with second-order part the sum of second mode derivatives and drift coefficient minus the Fourier weight, which is the Fourier symbol of the Laplacian minus one.

Statement

In the setting of The Free Field on the Torus as the Gaussian Reference Measure, with Square-Integrable White Noise: Standing Notation, let (D,DΣ,E,Σ)(\mathcal{D},\mathcal{D}_{\Sigma},\mathcal{E},\Sigma) be the Gaussian entropy pair with temperature 11, whose hypothesis holds with the constant 11 by White Noise in the Square-Integrable Space and the Free Field on the Torus as Noise Weights and a Variance Sequence on a Negative Sobolev Space §ratio. Measures on XX are written ν\nu, and μk\mu_{k} with a subscript is always a Fourier weight; ⟨⋅,⋅⟩ν\langle\cdot,\cdot\rangle_{\nu} is the inner product of L2(ν;Xa)L^{2}(\nu;X^{a}). Let N∈NN\in\mathbb{N}, let yN:X→RNy_{N}:X\to\mathbb{R}^{N} be the map yN(Φ)=(Φ(κ(1)),…,Φ(κ(N)))y_{N}(\Phi)=\bigl(\Phi(\kappa(1)),\dots,\Phi(\kappa(N))\bigr), let h∈Cb2(RN)h\in C^{2}_{b}(\mathbb{R}^{N}), the set of Bounded Twice Continuously Differentiable Functions with Bounded First and Second Partial Derivatives on Euclidean Space §bounded with q=Nq=N, with partial derivatives ∂ih\partial_{i}h and ∂i∂ih\partial_{i}\partial_{i}h as in Differential Calculus and Convexity on Euclidean Open Sets: Standing Notation §derivatives, and let φ=h∘yN:X→R\varphi=h\circ y_{N}:X\to\mathbb{R}. Let Lh:X→R\mathcal{L}h:X\to\mathbb{R} be the function

(Lh)(Φ)=∑i=1N(∂i∂ih(yN(Φ))−μκ(i) Φ(κ(i)) ∂ih(yN(Φ))).(\mathcal{L}h)(\Phi)=\sum_{i=1}^{N}\Bigl(\partial_{i}\partial_{i}h\bigl(y_{N}(\Phi)\bigr)-\mu_{\kappa(i)}\,\Phi(\kappa(i))\,\partial_{i}h\bigl(y_{N}(\Phi)\bigr)\Bigr).

1. (Functions of finitely many modes) φ=f∘pN\varphi=f\circ p_{N} for the function f∈Cb2(RN)f\in C^{2}_{b}(\mathbb{R}^{N}) given by f(x)=h(x1/ρκ(1)m,…,xN/ρκ(N)m)f(x)=h\bigl(x_{1}/\rho_{\kappa(1)}^{m},\dots,x_{N}/\rho_{\kappa(N)}^{m}\bigr). Consequently, with UφU_{\varphi} and ∇aφ\nabla_{a}\varphi as in Integrals of Bounded C^2 Cylindrical Functions are Noise Intrinsic Test Functions with the Noise Gradient as Gradient, applied with NN in place of the natural number written nn there, UφU_{\varphi} is a noise intrinsic test function on D\mathcal{D} with ∇Uφ(ν)=∇aφ\nabla U_{\varphi}(\nu)=\nabla_{a}\varphi for every ν∈D\nu\in\mathcal{D}, by On Integrals of Cylindrical Functions the Gaussian Score Drift is the Noise Ornstein-Uhlenbeck Functional, and the Score-Drift Hamilton-Jacobi Operator Takes Its Pointwise Form §test.

2. (The drift is minus the Ornstein-Uhlenbeck generator) For every ν∈DΣ\nu\in\mathcal{D}_{\Sigma} the function Lh\mathcal{L}h is integrable with respect to ν\nu, and

⟨Σ(ν),∇Uφ(ν)⟩ν=−∫XLh dν.\langle\Sigma(\nu),\nabla U_{\varphi}(\nu)\rangle_{\nu}=-\int_{X}\mathcal{L}h\,d\nu .

3. (The operator on functions of finitely many modes) Let λ0,θ∈R\lambda_{0},\theta\in\mathbb{R} be positive, let g:D→Rg:\mathcal{D}\to\mathbb{R}, and let FF be the Hamilton-Jacobi operator with Gaussian score drift relative to γc\gamma_{c} with temperature 11, discount λ0\lambda_{0}, control cost θ\theta and running cost gg. Then for every ν∈DΣ\nu\in\mathcal{D}_{\Sigma} and r∈Rr\in\mathbb{R},

F(ν,r,∇Uφ(ν))=λ0 r+θ2∑i=1N∫X∂ih(yN(Φ))2 ν(dΦ)−∫XLh dν−g(ν).F\bigl(\nu,r,\nabla U_{\varphi}(\nu)\bigr)=\lambda_{0}\,r+\frac{\theta}{2}\sum_{i=1}^{N}\int_{X}\partial_{i}h\bigl(y_{N}(\Phi)\bigr)^{2}\,\nu(d\Phi)-\int_{X}\mathcal{L}h\,d\nu-g(\nu).

4. (The drift coefficients are those of the Laplacian minus one) Let u:Rn→Ru:\mathbb{R}^{n}\to\mathbb{R} belong to Cper2C^{2}_{\mathrm{per}}, and let U=[ u∣Q ]U=[\,u|_{Q}\,] and V=[ (Δu−u)∣Q ]V=[\,(\Delta u-u)|_{Q}\,] in L2(Tn)L^{2}(\mathbb{T}^{n}). Then V^(k)=−μk U^(k)\hat{V}(k)=-\mu_{k}\,\hat{U}(k) for every k∈Znk\in\mathbb{Z}^{n}.

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