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Viscosity testing by first-order jets, and closure of the jet inequality
Statement
Let be open and let be continuous. For and define the first-order superjet and subjet Then: (1) an upper semicontinuous is a viscosity subsolution of in if and only if (2) a lower semicontinuous is a viscosity supersolution if and only if for all and all ; (3) if is such a subsolution, in with , and with , then ; the analogous closure statement holds for supersolutions and subjets. The closure statement does not assert that itself belongs to ; that membership may fail, and it is not needed. No choice principle is used.
Facts & Assumptions
Given: An open , continuous , an upper semicontinuous , a lower semicontinuous , and the superjet and subjet of the statement.
is a viscosity subsolution of in when holds for every and every at which has a local maximum; is a viscosity supersolution when the reverse inequality holds at every local minimum of (Viscosity subsolutions and supersolutions of a first-order equation and of the Cauchy problem).
A map defined near is totally differentiable at with derivative exactly when with as (The total (Fréchet) derivative as the linear first-order approximation with remainder, Directional derivatives and partial derivatives of a map ).
If is continuous and , then is differentiable at every with (The first fundamental theorem: if is integrable on and continuous at , then ; in particular a continuous has as a primitive), the integral existing because a continuous function on a closed bounded interval is Riemann integrable (A continuous function on is Riemann integrable, by Heine-Cantor and Riemann's criterion).
Closed bounded Euclidean sets are compact, and a finite-valued upper semicontinuous function on a nonempty compact set is bounded above (For a nonempty subset of with , compactness, closedness and boundedness, pseudocompactness, and attainment of extrema by every continuous real-valued function are equivalent, Semicontinuous extreme value theorem on compact Euclidean sets).
Proof
Test functions produce jets. Suppose and has a local maximum at ; then for near we have by [F2], so . If instead has a local minimum at , the same computation with the inequality reversed gives . Hence the jet inequality for all jets implies the test-function inequality of [F1], in both the sub- and the supersolution case.
Jets produce test functions. Assume is an upper semicontinuous subsolution in the test-function sense and let . Choose with and put for . By the definition of , , so . Define for . This supremum is finite: the jet condition bounds the quotient near , and on every remaining closed annulus is bounded above by upper semicontinuity and compactness [F4]. Thus is finite and nondecreasing, as , and . The function need not be continuous, so we first construct a continuous majorant. Put and for . Define , set for , interpolate linearly on each , and set on . The definitions agree at , is continuous with at , and : on , , while on it equals . Let , continuous with on and , and put ; this is continuous on , with . Define for and for . By [F3], on , and makes the constant extension . For , because , and there. Hence for . Define on . Then has a local maximum at , and because . The radial term has gradient off , which tends to there; thus . The subsolution inequality [F1] gives . The subjet case applies this construction to and , then negates the resulting test function, giving for every .
Parts (1) and (2). Step 1.1 shows that the jet inequalities imply the test-function inequalities. Step 1.2 proves the reverse implication by constructing a test for every prescribed jet, with signs reversed for subjets. Hence both equivalences (1) and (2) hold.
Closure. Let be a subsolution in the test-function sense, let in , and let with . Fix . By step 2.1, part (1), applied at , we have . Since and is continuous, passing to the limit in the inequality gives , which is the closure statement for subsolutions; the same argument with the inequalities reversed and subjets in place of superjets gives the supersolution statement. The limit need not lie in , and this is not used.
Depends on
- Viscosity subsolutions and supersolutions of a first-order equation and of the Cauchy problem
- The total (Fréchet) derivative $Df(a)$ as the linear first-order approximation with $o(\|h\|_2)$ remainder
- Directional derivatives and partial derivatives of a map $U\subseteq\mathbb{R}^m\to\mathbb{R}^n$
- Local and strict local extrema for scalar fields on Euclidean open sets
- The first fundamental theorem: if $f$ is integrable on $[a,b]$ and continuous at $c$, then $F'(c) = f(c)$; in particular a continuous $f$ has $F$ as a primitive
- A continuous function on $[a,b]$ is Riemann integrable, by Heine-Cantor and Riemann's criterion
- For a nonempty subset of $\mathbb{R}^n$ with $n\ge1$, compactness, closedness and boundedness, pseudocompactness, and attainment of extrema by every continuous real-valued function are equivalent
- Semicontinuous extreme value theorem on compact Euclidean sets
Used by
- Minima of viscosity subsolutions need not be subsolutions Counterexample
- The eikonal equation on an interval has many solutions when endpoint data are omitted Counterexample
- Distance to the boundary solves the unit eikonal Dirichlet problem on the ball Example
- The eikonal equation as a viscosity equation at a tip Example
- Doubling variables: existence, relative contacts at the maximiser and localisation Lemma
- Failure of the supersolution test for the lower envelope allows a local bump Lemma
- Classical solutions are viscosity solutions and differentiable viscosity solutions solve the equation pointwise Proposition
- Comparison for first-order Hamilton--Jacobi equations Theorem
- The upper envelope of a locally bounded supremum of subsolutions is a subsolution Theorem
Dependency tree · two levels
67 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Michael G. Crandall, Hitoshi Ishii and Pierre-Louis Lions, User's guide to viscosity solutions of second order partial differential equations, Bulletin of the American Mathematical Society 27 (1992), 1--67 (complete article) (standard reference, not scraped)
- Hung Vinh Tran, Hamilton--Jacobi Equations: Theory and Applications, 2020 preliminary author manuscript of AMS Graduate Studies in Mathematics 213 (complete text) (standard reference, not scraped)
- Alberto Bressan, Viscosity Solutions of Hamilton--Jacobi Equations and Optimal Control Problems, complete author lecture notes, Penn State University (PDF records Fall 2019 revision) (standard reference, not scraped)