TheoremBase

The Lifted Ornstein-Uhlenbeck Hamilton-Jacobi Equation with a Linear Running Cost: Its Viscosity Solution Is the Integral of the Pointwise Solution, Which It Determines

For a bounded uniformly continuous pointwise cost, the unique bounded viscosity solution of the lifted Ornstein-Uhlenbeck Hamilton-Jacobi equation with the integrated cost is the integral of the unique bounded viscosity solution of the pointwise equation, and the pointwise solution is recovered as the limit of the lifted solution along shrinking Gaussians.

Statement

In the settings of The Real Numbers: Standing Notation and Background and The Intrinsic Calculus on the Wasserstein Space: Standing Notation, and in the setting of Second-Order Equations on Euclidean Open Sets, whose clauses are used with the dimension written qq there equal to dd, and where The Penalty-Drift Hamilton-Jacobi Equation on an Open Subset of Euclidean Space speaks of nn and UU it is applied with n=dn=d and U=RdU=\mathbb{R}^{d}; otherwise the letter qq denotes a vector field, as in The Intrinsic Calculus on the Wasserstein Space: Standing Notation §operators, and μ\mu always denotes a probability measure, never a scalar. Let cc be a variance vector, with weighted square ∣x∣c2|x|_{c}^{2} (x∈Rdx\in\mathbb{R}^{d}) as in The Diagonal Gaussian Density on Euclidean Space and Its Notation §scaling, let a∈Ra\in\mathbb{R} be positive, and let (D,DΣ,E,Σ)(\mathcal{D},\mathcal{D}_{\Sigma},\mathcal{E},\Sigma) be the Gaussian free-energy pair with variances cc and temperature aa. Let λ0,θ∈R\lambda_{0},\theta\in\mathbb{R} satisfy 0<λ00<\lambda_{0} and 0<θ≤10<\theta\le1, let g~:Rd→R\tilde{g}:\mathbb{R}^{d}\to\mathbb{R} be bounded and uniformly continuous (for the Euclidean distance and the metric of The Absolute Value Metric on the Real Line), and fix C∈RC\in\mathbb{R} with ∣g~(x)∣≤C|\tilde{g}(x)|\le C for every x∈Rdx\in\mathbb{R}^{d}. By Running Costs for N-Particle Systems: Integrals of Bounded Uniformly Continuous Functions and Costs of the Empirical Measure §integral, applied with m=dm=d, g~\tilde{g} is Borel and integrable with respect to every μ∈P2(Rd)\mu\in\mathcal{P}_{2}(\mathbb{R}^{d}), and the function G:P2(Rd)→RG:\mathcal{P}_{2}(\mathbb{R}^{d})\to\mathbb{R}, G(μ)=∫Rdg~ dμG(\mu)=\int_{\mathbb{R}^{d}}\tilde{g}\,d\mu, is uniformly continuous from (P2(Rd),W2)(\mathcal{P}_{2}(\mathbb{R}^{d}),W_{2}) to R\mathbb{R} and satisfies ∣G(μ)∣≤C|G(\mu)|\le C. Let Vc:Rd→RV_{c}:\mathbb{R}^{d}\to\mathbb{R}, Vc(x)=a2∣x∣c2V_{c}(x)=\tfrac{a}{2}|x|_{c}^{2}, which is of class C2C^{2} on Rd\mathbb{R}^{d} by Quadratic and Affine Functions of Class C2C^2, Translation, and Quadratic Perturbation of Semiconvexity §quadratic, applied to the diagonal matrix with diagonal entries a/c1,…,a/cda/c_{1},\dots,a/c_{d}, linear coefficient 00 and constant term 00, and let FF be the penalty-drift Hamilton-Jacobi operator on Rd\mathbb{R}^{d} with potential VcV_{c}, discount λ0\lambda_{0}, control cost θ\theta, noise intensity 2a2a and running cost g~\tilde{g}, with viscosity sub- and supersolutions on Rd\mathbb{R}^{d} as in The Penalty-Drift Hamilton-Jacobi Equation on an Open Subset of Euclidean Space §equation. Viscosity solutions of the lifted Ornstein-Uhlenbeck Hamilton-Jacobi equation are taken with discount λ0\lambda_{0}, control cost θ\theta and running cost GG, and λ0−1\lambda_{0}^{-1} is the multiplicative inverse of λ0\lambda_{0}.

1. (The pointwise solution) There is exactly one bounded function w:Rd→Rw:\mathbb{R}^{d}\to\mathbb{R} that is both a viscosity subsolution and a viscosity supersolution of FF on Rd\mathbb{R}^{d}. It is continuous and satisfies ∣w(x)∣≤λ0−1C|w(x)|\le\lambda_{0}^{-1}C for every x∈Rdx\in\mathbb{R}^{d}; in particular it is Borel and integrable with respect to every μ∈P2(Rd)\mu\in\mathcal{P}_{2}(\mathbb{R}^{d}).

2. (Representation) With ww as in clause 1, the function U:D→R\mathcal{U}:\mathcal{D}\to\mathbb{R}, U(μ)=∫Rdw dμ\mathcal{U}(\mu)=\int_{\mathbb{R}^{d}}w\,d\mu, is a viscosity solution of the lifted Ornstein-Uhlenbeck Hamilton-Jacobi equation, and every bounded viscosity solution u:D→Ru:\mathcal{D}\to\mathbb{R} of that equation satisfies u(μ)=U(μ)u(\mu)=\mathcal{U}(\mu) for every μ∈D\mu\in\mathcal{D}.

3. (Recovery of the pointwise solution) For positive ε∈R\varepsilon\in\mathbb{R} let γε\gamma_{\varepsilon} be the diagonal Gaussian measure with the variance vector (ε,…,ε)∈Rd(\varepsilon,\dots,\varepsilon)\in\mathbb{R}^{d}, and for x∈Rdx\in\mathbb{R}^{d} let ηx,ε\eta_{x,\varepsilon} be its image under the translation Rd→Rd\mathbb{R}^{d}\to\mathbb{R}^{d}, y↦x+yy\mapsto x+y. Then ηx,ε∈D\eta_{x,\varepsilon}\in\mathcal{D} for all such xx and ε\varepsilon, and for every x∈Rdx\in\mathbb{R}^{d} and every sequence (εj)j∈N(\varepsilon_{j})_{j\in\mathbb{N}} of positive real numbers converging to 00, the sequence (U(ηx,εj))j∈N(\mathcal{U}(\eta_{x,\varepsilon_{j}}))_{j\in\mathbb{N}} converges to w(x)w(x).

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