TheoremBase

Perron's Method on the Noise Wasserstein Space: Existence of a Viscosity Solution of a First-Order Equation Between a Subsolution and a Supersolution

For a noise-closed noise penalty pair with regular penalised maxima whose penalty domain has the noise map property, and any first-order equation operator, the pointwise supremum of all viscosity subsolutions lying between a given subsolution and a given supersolution above it, both of penalty-subordinate growth, is a viscosity solution.

Statement

In the setting of First-Order Equations on the Noise Wasserstein Space Relative to a Noise Penalty Pair: Standing Notation, let (D,DΣ,E,Σ)(\mathcal{D},\mathcal{D}_{\Sigma},\mathcal{E},\Sigma) be a noise-closed noise penalty pair on Pρa\mathcal{P}^{a}_{\rho} with regular penalised maxima, whose penalty domain D\mathcal{D} has the noise map property, and let FF be a first-order equation operator over DΣ\mathcal{D}_{\Sigma}, with δ\delta-shifts Fδ−F^{-}_{\delta} and Fδ+F^{+}_{\delta} relative to that pair. Viscosity subsolutions, supersolutions and solutions of FF relative to the noise penalty pair, and penalty-subordinate growth from above and from below of a function on D\mathcal{D}, are those of the items cited.

Let f:D→Rf:\mathcal{D}\to\mathbb{R} be a viscosity subsolution of FF that has penalty-subordinate growth from below, let g:D→Rg:\mathcal{D}\to\mathbb{R} be a viscosity supersolution of FF that has penalty-subordinate growth from above, both relative to the noise penalty pair, and assume that

f(ν)≤g(ν)for every ν∈D.f(\nu)\le g(\nu)\qquad\text{for every }\nu\in\mathcal{D}.

Let G\mathcal{G} be the set of all viscosity subsolutions v:D→Rv:\mathcal{D}\to\mathbb{R} of FF relative to the noise penalty pair with f(ν)≤v(ν)≤g(ν)f(\nu)\le v(\nu)\le g(\nu) for every ν∈D\nu\in\mathcal{D}. Then f∈Gf\in\mathcal{G}, and for ν∈D\nu\in\mathcal{D} the set {v(ν):v∈G}\{v(\nu):v\in\mathcal{G}\} is nonempty and bounded above by g(ν)g(\nu), so that it has a least upper bound, as recorded in The Real Numbers: Standing Notation and Background §bounds. Let u:D→Ru:\mathcal{D}\to\mathbb{R} be given by

u(ν)=sup⁡{v(ν):v∈G}for ν∈D.u(\nu)=\sup\{v(\nu):v\in\mathcal{G}\}\qquad\text{for }\nu\in\mathcal{D}.

Then the following hold.

1. (The supremum lies between the data) For every ν∈D\nu\in\mathcal{D}, f(ν)≤u(ν)f(\nu)\le u(\nu) and u(ν)≤g(ν)u(\nu)\le g(\nu); consequently uu has penalty-subordinate growth from above and from below.

2. (The supremum is a viscosity solution) The function uu is a viscosity solution of FF relative to the noise penalty pair.

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