TheoremBase

Applies the general well-posedness theorem for Hamilton-Jacobi equations with penalty drift to the Gaussian entropy pair. Each structural hypothesis (noise-closed, closed score, regular maxima, displacement convex, map property, growth bound with K = 2kappa/beta) is checked against an existing lemma, and the viscosity notions are shown to coincide.

Proof

Each result cited is universally quantified over the data in its own statement.

We apply Well-Posedness of the Hamilton-Jacobi Equation with Penalty Drift on the Noise Wasserstein Space: Comparison, Existence and Uniqueness of a Bounded Viscosity Solution to the Gaussian entropy pair (D,DΣ,E,Σ)(\mathcal{D},\mathcal{D}_{\Sigma},\mathcal{E},\Sigma). Its settings are in force: The Real Numbers: Standing Notation and Background and Probability Measures on a Hilbert Space Transported in the Noise Norm: Standing Notation are in force by A Diagonal Gaussian Reference Measure on the Noise Wasserstein Space, Rescaled Heads and Gaussian Tails: Standing Notation §background, with the reference measure ρ=γc∈P2(X)\rho=\gamma_{c}\in\mathcal{P}_{2}(X) by A Diagonal Gaussian Reference Measure on the Noise Wasserstein Space, Rescaled Heads and Gaussian Tails: Standing Notation §gaussian, and First-Order Equations on the Noise Wasserstein Space Relative to a Noise Penalty Pair: Standing Notation is layered on Probability Measures on a Hilbert Space Transported in the Noise Norm: Standing Notation and only fixes notation. That setting reserves the letter cc for real numbers unless a result says otherwise (First-Order Equations on the Noise Wasserstein Space Relative to a Noise Penalty Pair: Standing Notation §operators); the statement of Well-Posedness of the Hamilton-Jacobi Equation with Penalty Drift on the Noise Wasserstein Space: Comparison, Existence and Uniqueness of a Bounded Viscosity Solution makes no use of that letter, so no conflict arises with the variance sequence cc of the present setting, and the real number quantified as cc in the noise-closedness definition is a bound variable, as noted in The Gaussian Entropy Pair is Noise-Closed, and Its Penalty Bounds the Squared Noise Wasserstein Distance to the Reference Measure. The quadruple (D,DΣ,E,Σ)(\mathcal{D},\mathcal{D}_{\Sigma},\mathcal{E},\Sigma) is a noise penalty pair on Pρa\mathcal{P}^{a}_{\rho} by The Gaussian Entropy Pair is a Noise Penalty Pair, with Nonnegative Penalty and Dense Score Domain §pair, and the metric space (Pρa,Wa)(\mathcal{P}^{a}_{\rho},W_{a}) of First-Order Equations on the Noise Wasserstein Space Relative to a Noise Penalty Pair: Standing Notation §space is that 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, which is the one used in the statement of the corollary.

The hypothesis (The pair). We verify Well-Posedness of the Hamilton-Jacobi Equation with Penalty Drift on the Noise Wasserstein Space: Comparison, Existence and Uniqueness of a Bounded Viscosity Solution §pair item by item; every lemma cited in this paragraph is stated in the setting of A Diagonal Gaussian Reference Measure on the Noise Wasserstein Space, Rescaled Heads and Gaussian Tails: Standing Notation for positive β,κ\beta,\kappa with ck≤κ akc_{k}\le\kappa\,a_{k} for every k∈Nk\in\mathbb{N} and for the Gaussian entropy pair with temperature β\beta, which are exactly our data. The pair is noise-closed by The Gaussian Entropy Pair is Noise-Closed, and Its Penalty Bounds the Squared Noise Wasserstein Distance to the Reference Measure §noise-closed; it has closed score along noise couplings by The Gaussian Entropy Pair Has Closed Score Along Noise Couplings §closed; it has regular penalised maxima by The Gaussian Entropy Pair Has Regular Penalised Maxima §regular; and it is displacement convex by The Gaussian Entropy Pair is Uniformly Displacement Convex, with Modulus the Temperature over the Variance-to-Noise Bound §displacement-convex. For the noise map property, The Entropy Domain of a Diagonal Gaussian Reference Measure Has the Noise Map Property applies: its hypotheses that cc is a variance sequence and that ρ=γc\rho=\gamma_{c} hold by A Diagonal Gaussian Reference Measure on the Noise Wasserstein Space, Rescaled Heads and Gaussian Tails: Standing Notation §gaussian, and its number κ\kappa is our κ\kappa. Its set DH\mathcal{D}_{H} of the μ∈P(X)\mu\in\mathcal{P}(X) of finite relative entropy with respect to γc\gamma_{c} is D\mathcal{D}, by The Gaussian Entropy Pair on the Noise Wasserstein Space: Relative Entropy and the Noise Score Field §penalty-domain; so D\mathcal{D} has the noise map property of The Noise Map Property of a Set of Probability Measures §map-property by The Entropy Domain of a Diagonal Gaussian Reference Measure Has the Noise Map Property §map-property. Finally let K=2κβK=\frac{2\kappa}{\beta}. By The Gaussian Entropy Pair is Noise-Closed, and Its Penalty Bounds the Squared Noise Wasserstein Distance to the Reference Measure §growth, for every μ∈D\mu\in\mathcal{D}

Wa(μ,ρ)2≤K (1+∣E(μ)∣),W_{a}(\mu,\rho)^{2}\le K\,\bigl(1+|\mathcal{E}(\mu)|\bigr),

which is the growth condition. So the hypothesis (The pair) holds.

The hypothesis (The data). The conditions imposed on λ0\lambda_{0}, θ\theta and gg in Well-Posedness of the Hamilton-Jacobi Equation with Penalty Drift on the Noise Wasserstein Space: Comparison, Existence and Uniqueness of a Bounded Viscosity Solution §data are those of the corollary: 0<λ00<\lambda_{0}, 0<θ≤10<\theta\le1, and g:D→Rg:\mathcal{D}\to\mathbb{R} bounded and uniformly continuous on D\mathcal{D} relative to D\mathcal{D} in (Pρa,Wa)(\mathcal{P}^{a}_{\rho},W_{a}) with R\mathbb{R} carrying the metric of The Absolute Value Metric on the Real Line, the metric space being the same as noted above. The number CC fixed in the corollary satisfies 0≤C0\le C and ∣g(μ)∣≤C|g(\mu)|\le C for every μ∈D\mu\in\mathcal{D}, so it may be taken as the number CC fixed in the theorem.

The viscosity notions agree. By The Hamilton-Jacobi Equation with Gaussian Score Drift on a Hilbert Space §equation, a viscosity subsolution, supersolution or solution in the sense of the corollary is a function u:D→Ru:\mathcal{D}\to\mathbb{R} that is a viscosity subsolution, supersolution or solution of FF relative to the Gaussian entropy pair in the sense of Viscosity Subsolution, Supersolution and Solution of a First-Order Equation on the Noise Wasserstein Space Relative to a Noise Penalty Pair §subsolution, Viscosity Subsolution, Supersolution and Solution of a First-Order Equation on the Noise Wasserstein Space Relative to a Noise Penalty Pair §supersolution or Viscosity Subsolution, Supersolution and Solution of a First-Order Equation on the Noise Wasserstein Space Relative to a Noise Penalty Pair §solution respectively, where FF is the Hamilton-Jacobi operator with Gaussian score drift with discount λ0\lambda_{0}, control cost θ\theta and running cost gg. By The Hamilton-Jacobi Equation with Gaussian Score Drift on a Hilbert Space §operator, this FF is the Hamilton-Jacobi operator with penalty drift of The Discounted Hamilton-Jacobi Equation with a Penalty Drift on the Noise Wasserstein Space §operator for the Gaussian entropy pair with the same λ0\lambda_{0}, θ\theta and gg. On the other hand, the viscosity notions of Well-Posedness of the Hamilton-Jacobi Equation with Penalty Drift on the Noise Wasserstein Space: Comparison, Existence and Uniqueness of a Bounded Viscosity Solution are those of the Hamilton-Jacobi equation with penalty drift of this pair with discount λ0\lambda_{0}, control cost θ\theta and running cost gg, which by The Discounted Hamilton-Jacobi Equation with a Penalty Drift on the Noise Wasserstein Space §equation are the viscosity subsolutions, supersolutions and solutions of that same operator FF relative to the same pair in the sense of Viscosity Subsolution, Supersolution and Solution of a First-Order Equation on the Noise Wasserstein Space Relative to a Noise Penalty Pair §subsolution, Viscosity Subsolution, Supersolution and Solution of a First-Order Equation on the Noise Wasserstein Space Relative to a Noise Penalty Pair §supersolution and Viscosity Subsolution, Supersolution and Solution of a First-Order Equation on the Noise Wasserstein Space Relative to a Noise Penalty Pair §solution respectively. So the two sets of notions coincide.

Conclusion. All hypotheses of Well-Posedness of the Hamilton-Jacobi Equation with Penalty Drift on the Noise Wasserstein Space: Comparison, Existence and Uniqueness of a Bounded Viscosity Solution hold, with the same viscosity notions and the same number CC. Claim 1 is Well-Posedness of the Hamilton-Jacobi Equation with Penalty Drift on the Noise Wasserstein Space: Comparison, Existence and Uniqueness of a Bounded Viscosity Solution §comparison: its assumptions on uu, vv, bb and b′b' are exactly those of claim 1, the penalty-subordinate growth of uu from above and of vv from below being supplied within that clause from the bounds u≤bu\le b and b′≤vb'\le v and the noise-closedness verified above. Claim 2 is Well-Posedness of the Hamilton-Jacobi Equation with Penalty Drift on the Noise Wasserstein Space: Comparison, Existence and Uniqueness of a Bounded Viscosity Solution §existence, and claim 3, including its final sentence, is Well-Posedness of the Hamilton-Jacobi Equation with Penalty Drift on the Noise Wasserstein Space: Comparison, Existence and Uniqueness of a Bounded Viscosity Solution §uniqueness.

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