TheoremBase

Well-Posedness of the Hamilton-Jacobi Equation with Gaussian Score Drift and a Score-Paired Wick-Square Cost on a Hilbert Space, by Gaussian Dressing

For the Hamilton-Jacobi equation with Gaussian score drift and a score-paired Wick-square cost on laws over a Hilbert space, viscosity solutions relative to the dressing profile satisfy comparison, exist and are unique among those differing from the profile by a bounded function; the difference solves the score-drift equation relative to the dressed Gaussian.

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; D\mathcal{D} is the set of measures of finite relative entropy with respect to γc\gamma_{c}, by The Gaussian Entropy Pair on the Noise Wasserstein Space: Relative Entropy and the Noise Score Field §penalty-domain. Let ww be a sequence of Wick couplings, with a bound WW, let λ0,θ∈R\lambda_{0},\theta\in\mathbb{R} satisfy 0<λ00<\lambda_{0} and 0<θ≤10<\theta\le1, and 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}.

Let ∣s∣|s| denote the absolute value of s∈Rs\in\mathbb{R}, and let g:D→Rg:\mathcal{D}\to\mathbb{R} be bounded and uniformly continuous on D\mathcal{D}, relative to D\mathcal{D} in the metric space (Pρa,Wa)(\mathcal{P}^{a}_{\rho},W_{a}) of The Noise Wasserstein Distance is a Metric on the Measures Noise-Connected to the Reference Measure: Existence of Noise-Optimal Couplings, Comparison with the Quadratic Wasserstein Distance and Lower Semicontinuity §metric and with R\mathbb{R} carrying the metric of The Absolute Value Metric on the Real Line; fix C∈RC\in\mathbb{R} with 0≤C0\le C and ∣g(μ)∣≤C|g(\mu)|\le C for every μ∈D\mu\in\mathcal{D}. Let Φ0\Phi_{0} be the quadratic profile, c′c' the dressed variances and ee the real number of 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 §constant, all for these data; Φ0\Phi_{0} is a noise intrinsic test function on D\mathcal{D} by that clause. Let κ′\kappa' be the constant of 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 §variances and (D′,DΣ′,E′,Σ′)(\mathcal{D}',\mathcal{D}'_{\Sigma},\mathcal{E}',\Sigma') the Gaussian entropy pair relative to γc′\gamma_{c'} with temperature β\beta, whose hypothesis holds with κ′\kappa'; then D′=D\mathcal{D}'=\mathcal{D} and DΣ′=DΣ\mathcal{D}'_{\Sigma}=\mathcal{D}_{\Sigma} by 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 §pairs. Viscosity subsolutions, supersolutions and solutions relative to the profile Φ0\Phi_{0} are those of the Hamilton-Jacobi equation 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. For u:D→Ru:\mathcal{D}\to\mathbb{R}, u−Φ0u-\Phi_{0} is the function on D\mathcal{D} with value u(μ)−Φ0(μ)u(\mu)-\Phi_{0}(\mu) at μ\mu, and λ0−1\lambda_{0}^{-1} is the multiplicative inverse of λ0\lambda_{0}.

1. (Comparison) Let u:D→Ru:\mathcal{D}\to\mathbb{R} be a viscosity subsolution and v:D→Rv:\mathcal{D}\to\mathbb{R} a viscosity supersolution relative to the profile Φ0\Phi_{0}, and let B1,B2∈RB_{1},B_{2}\in\mathbb{R} satisfy u(μ)−Φ0(μ)≤B1u(\mu)-\Phi_{0}(\mu)\le B_{1} and B2≤v(μ)−Φ0(μ)B_{2}\le v(\mu)-\Phi_{0}(\mu) for every μ∈D\mu\in\mathcal{D}. Then u(μ)≤v(μ)u(\mu)\le v(\mu) for every μ∈D\mu\in\mathcal{D}.

2. (Existence) There is a viscosity solution U:D→RU:\mathcal{D}\to\mathbb{R} relative to the profile Φ0\Phi_{0} with

−λ0−1(C+∣e∣)≤U(μ)−Φ0(μ)≤λ0−1(C+∣e∣)for every μ∈D.-\lambda_{0}^{-1}\bigl(C+|e|\bigr)\le U(\mu)-\Phi_{0}(\mu)\le\lambda_{0}^{-1}\bigl(C+|e|\bigr)\qquad\text{for every }\mu\in\mathcal{D}.

3. (Uniqueness) Let U,U′:D→RU,U':\mathcal{D}\to\mathbb{R} be viscosity solutions relative to the profile Φ0\Phi_{0} such that U−Φ0U-\Phi_{0} and U′−Φ0U'-\Phi_{0} are bounded. Then U(μ)=U′(μ)U(\mu)=U'(\mu) for every μ∈D\mu\in\mathcal{D}.

4. (Representation) Let U:D→RU:\mathcal{D}\to\mathbb{R} be such that U−Φ0U-\Phi_{0} is bounded. Then UU is a viscosity solution relative to the profile Φ0\Phi_{0} if and only if U−Φ0U-\Phi_{0} is a viscosity solution of the Hamilton-Jacobi equation with Gaussian score drift relative to γc′\gamma_{c'} and the pair (D′,DΣ′,E′,Σ′)(\mathcal{D}',\mathcal{D}'_{\Sigma},\mathcal{E}',\Sigma'), 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\mathcal{D}.

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