TheoremBase

Gaussian Dressing of the Score-Paired Wick-Square Cost on a Hilbert Space: Riccati Coefficients, Dressed Variances, the Quadratic Profile, the Constant, the Dressed Pair and the Shifted Operator

Per-mode Riccati coefficients give a dressed diagonal Gaussian and a quadratic profile; shifting the unknown by the profile turns the Wick-square Hamilton-Jacobi operator into the Gaussian score-drift operator relative to the dressed Gaussian with the running cost shifted by an absolutely convergent constant.

Statement

In the setting of A Diagonal Gaussian Reference Measure on the Noise Wasserstein Space, Rescaled Heads and Gaussian Tails: Standing Notation, so that the reference measure is ρ=γc\rho=\gamma_{c}, let β,κ∈R\beta,\kappa\in\mathbb{R} be positive with ck≤κ akc_{k}\le\kappa\,a_{k} for every k∈Nk\in\mathbb{N}, and let (D,DΣ,E,Σ)(\mathcal{D},\mathcal{D}_{\Sigma},\mathcal{E},\Sigma) be the Gaussian entropy pair with temperature β\beta, whose hypothesis holds with this κ\kappa. Let ww be a sequence of Wick couplings with bound WW, let λ0,θ∈R\lambda_{0},\theta\in\mathbb{R} be positive, let ε0∈R\varepsilon_{0}\in\mathbb{R} be positive with

βakck+λ0+2θ wkckβ≥ε0for every k∈N,\frac{\beta a_{k}}{c_{k}}+\lambda_{0}+\frac{2\theta\,w_{k}c_{k}}{\beta}\ge\varepsilon_{0}\qquad\text{for every }k\in\mathbb{N},

and let g:D→Rg:\mathcal{D}\to\mathbb{R}. admissible sequences, diagonal quadratic profiles Φb\Phi_{b} and their gradient fields VbV_{b} are those of Diagonal Quadratic Profiles on the Noise Wasserstein Space: Moment Bounds, a Lipschitz Estimate, the Gradient Field, and Noise Intrinsic Test Functions, log⁡\log is the natural logarithm, and convergent series are those of that definition. In this item the letter qq denotes a noise field and the letter rr a real number.

1. (The Riccati coefficients) For every k∈Nk\in\mathbb{N} there is exactly one bk∈Rb_{k}\in\mathbb{R} with

θak2 bk2+(λ02+βakck)bk=wkandβck+θ bk>0,\frac{\theta a_{k}}{2}\,b_{k}^{2}+\Bigl(\frac{\lambda_{0}}{2}+\frac{\beta a_{k}}{c_{k}}\Bigr)b_{k}=w_{k}\qquad\text{and}\qquad\frac{\beta}{c_{k}}+\theta\,b_{k}>0,

and it satisfies ∣bk∣≤2∣wk∣ ck/(βak)|b_{k}|\le2|w_{k}|\,c_{k}/(\beta a_{k}). The sequence b=(bk)k∈Nb=(b_{k})_{k\in\mathbb{N}} is admissible with bound 2W/β2W/\beta.

2. (The dressed variances) The sequence d=(θbk/β)k∈Nd=(\theta b_{k}/\beta)_{k\in\mathbb{N}} is admissible and satisfies ck−1+dk>0c_{k}^{-1}+d_{k}>0 for every k∈Nk\in\mathbb{N}. The sequence c′c' with ck′=(ck−1+θbk/β)−1c'_{k}=(c_{k}^{-1}+\theta b_{k}/\beta)^{-1}, called the dressed variances, is a variance sequence, and ck′≤κ′akc'_{k}\le\kappa'a_{k} for every k∈Nk\in\mathbb{N}, where κ′=(β+κλ0+κθWβ−1)ε0−1\kappa'=\bigl(\beta+\kappa\lambda_{0}+\kappa\theta W\beta^{-1}\bigr)\varepsilon_{0}^{-1}.

3. (The quadratic profile) The diagonal quadratic profile Φ0=Φb\Phi_{0}=\Phi_{b} is a noise intrinsic test function on D\mathcal{D}, with ∇Φ0(ν)=Vb(ν)\nabla\Phi_{0}(\nu)=V_{b}(\nu) for ν∈D\nu\in\mathcal{D}.

4. (The constant) The series e=∑k=1∞(βakbk−wkck)e=\sum_{k=1}^{\infty}\bigl(\beta a_{k}b_{k}-w_{k}c_{k}\bigr) converges absolutely.

5. (The dressed pair) Read A Diagonal Gaussian Reference Measure on the Noise Wasserstein Space, Rescaled Heads and Gaussian Tails: Standing Notation with c′c' in place of cc, and let (D′,DΣ′,E′,Σ′)(\mathcal{D}',\mathcal{D}'_{\Sigma},\mathcal{E}',\Sigma') be the Gaussian entropy pair relative to γc′\gamma_{c'} with temperature β\beta, whose hypothesis holds with κ′\kappa'. Then Pγc′a=Pρa\mathcal{P}^{a}_{\gamma_{c'}}=\mathcal{P}^{a}_{\rho}, D′=D\mathcal{D}'=\mathcal{D}, DΣ′=DΣ\mathcal{D}'_{\Sigma}=\mathcal{D}_{\Sigma}, and

E′(μ)=E(μ)+θ Φ0(μ)+β2∑k=1∞log⁡ck′ck(μ∈D),Σ′(ν)=Σ(ν)+θ ∇Φ0(ν)(ν∈DΣ),\mathcal{E}'(\mu)=\mathcal{E}(\mu)+\theta\,\Phi_{0}(\mu)+\frac{\beta}{2}\sum_{k=1}^{\infty}\log\frac{c'_{k}}{c_{k}}\quad(\mu\in\mathcal{D}),\qquad\Sigma'(\nu)=\Sigma(\nu)+\theta\,\nabla\Phi_{0}(\nu)\quad(\nu\in\mathcal{D}_{\Sigma}),

the series converging absolutely.

6. (The shifted operator) Let FF be the Hamilton-Jacobi operator with Gaussian score drift and the Wick-square cost relative to γc\gamma_{c} with temperature β\beta, discount λ0\lambda_{0}, control cost θ\theta, Wick couplings ww and running cost gg, and, Φ0\Phi_{0} being a noise intrinsic test function on D\mathcal{D} by clause 3 and the pair a noise penalty pair by The Gaussian Entropy Pair is a Noise Penalty Pair, with Nonnegative Penalty and Dense Score Domain §pair, let FΦ0F^{\Phi_{0}} be the operator FF shifted by Φ0\Phi_{0}. Let F′F' be the Hamilton-Jacobi operator with Gaussian score drift relative to γc′\gamma_{c'}, with temperature β\beta, discount λ0\lambda_{0}, control cost θ\theta and running cost ν↦g(ν)+e\nu\mapsto g(\nu)+e on D′=D\mathcal{D}'=\mathcal{D}. Then

FΦ0(ν,r,q)=F′(ν,r,q)for all (ν,q)∈Va(DΣ) and r∈R.F^{\Phi_{0}}(\nu,r,q)=F'(\nu,r,q)\qquad\text{for all }(\nu,q)\in\mathcal{V}^{a}(\mathcal{D}_{\Sigma})\text{ and }r\in\mathbb{R}.

7. (The dressed pair on the original space) The dressed pair (D′,DΣ′,E′,Σ′)(\mathcal{D}',\mathcal{D}'_{\Sigma},\mathcal{E}',\Sigma') of clause 5 is a noise penalty pair on Pρa\mathcal{P}^{a}_{\rho} in the setting of A Diagonal Gaussian Reference Measure on the Noise Wasserstein Space, Rescaled Heads and Gaussian Tails: Standing Notation read with the reference measure ρ=γc\rho=\gamma_{c}, and 0≤E′(μ)0\le\mathcal{E}'(\mu) for every μ∈D\mu\in\mathcal{D}.

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