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Comparison for autonomous convex superlinear Hamiltonians
Statement
Let and let be finite-valued, continuous, convex and superlinear. Let . Suppose and are bounded uniformly continuous on , their restrictions to are respectively a viscosity subsolution and a viscosity supersolution of , and their continuous initial traces satisfy for every . Then on . No choice principle is used.
Facts & Assumptions
Given: A finite continuous convex superlinear , , bounded uniformly continuous on whose restrictions to are a viscosity subsolution and supersolution of with , and positive parameters .
At every local maximum of with a viscosity subsolution satisfies , and at every local minimum a viscosity supersolution satisfies (Viscosity subsolutions and supersolutions of a first-order equation and of the Cauchy problem).
Uniform continuity of a map on a metric space means: for every there is such that whenever ; hence and admit bounded time moduli and their two initial traces admit a bounded common spatial modulus , with , , and both (Uniform continuity of a map of metric spaces: one serving every point).
A nonempty subset of is compact exactly when it is closed and bounded, and a continuous real-valued function on such a set attains its maximum and minimum (For a nonempty subset of with , compactness, closedness and boundedness, pseudocompactness, and attainment of extrema by every continuous real-valued function are equivalent).
A continuous function on a compact metric space is uniformly continuous there (Heine-Cantor: a continuous map from a compact metric space to any metric space is uniformly continuous).
Every upper semicontinuous real-valued function on a nonempty compact subset of is bounded above and attains a maximum (Semicontinuous extreme value theorem on compact Euclidean sets).
Proof
Penalisation. Put and for . If is a upper test for at an interior point , then is a upper test for , so evaluation and [F1] give , that is ; dually every lower test for satisfies . Moreover and as , respectively , uniformly in the space variable.
The doubling function and the initial-face bound. Assume for contradiction that for some and put . Fix with and put . Choose so small that , and then with ; this gives by splitting at . then with , and , so that , and ; put . Choose with , , and such that whenever and : the last requirement is possible because is uniformly continuous on the compact set by [F3] and [F4]. For define for , and set if or . At the diagonal point we have for every , while . The penalty makes the superlevel set bounded, and is closed because is upper semicontinuous (it is continuous where , and tends to at the terminal faces, where it is ) and ; by [F3] is compact and it is nonempty by the diagonal estimate. On the function is real-valued, and it is upper semicontinuous as a restriction of an upper semicontinuous function, so it attains on a maximum by [F5], and by [F3] the value is finite; a maximum on is a global maximum of because every point outside has value , and every maximiser lies in , hence has . So for every there is a maximiser with and .
Initial faces are excluded for large . Since , the inequality gives , so as . If , then using , the initial modulus , the time modulus and we get for all large , because by ; this contradicts . The case is identical with in place of . Hence for all sufficiently large every maximiser has .
Contact inequalities and the contradiction. Fix large enough that step 2.1 applies and . At the maximiser, fixing shows that is a upper test for at , and fixing shows that is a lower test for at . Their derivatives are , and , with and because for every . Step 1.1 applied to the two tests gives and , hence . But and , so the choice of in step 1.2 gives , a contradiction. Therefore no point with exists in , that is on .
Remarks
- Why the radial penalty has bounded gradient. With one has , so the spatial doubling contributes gradients of modulus at most and the difference contains exactly the term of the weight. The vanishing of is not used as a limit: the estimates hold for a fixed positive .
- Role of each face. The time penalties give the strict margin and remove the terminal faces; the weight makes the superlevel sets compact; the initial faces are handled by the pointwise order of the traces and their moduli, so no value-function or semijet machinery beyond the stated hypotheses is needed. The Hilbert-space semijet theorem is not required, which is why is covered.
Depends on
- Viscosity subsolutions and supersolutions of a first-order equation and of the Cauchy problem
- Uniform continuity of a map of metric spaces: one $\delta$ serving every point
- 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
- Heine-Cantor: a continuous map from a compact metric space to any metric space is uniformly continuous
- Semicontinuous extreme value theorem on compact Euclidean sets
Used by
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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)