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Vanishing viscosity selects the Hopf--Lax solution for bounded data
Example
Let on , a bounded uniformly continuous datum, and let . For and define and set . Then is a bounded classical solution for of and it attains uniformly as . The Hopf--Lax function is a bounded uniformly continuous viscosity solution of with initial trace , and for every one has Both terms on the right tend to zero as . Thus the viscous solutions converge uniformly on every finite time strip. The estimate permits an error and does not assert a uniform rate.
Verification
Given: The datum , the Hamiltonian with Legendre transform , all displayed integrals interpreted as absolutely convergent improper integrals of continuous functions, the heat kernel (The heat kernel on and its causal extension), the viscous equations and the Hopf--Lax function (The Hopf--Lax operator and the Hopf--Lax formula).
[F1] , , , and is bounded (The derivatives of sine and cosine are cosine and minus sine, Sine and cosine are -Lipschitz on , Parity and the Pythagorean identity for sine and cosine).
[F2] The Gaussian integral and change of variable for improper integrals are The Gaussian integral and Change of variable in an improper integral. The logarithm derivative is for (The natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t), and the kernel is the explicit function of The heat kernel on and its causal extension; the exponential derivative, chain and algebra rules are The exponential function is smooth and , The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with and Sums, scalar multiples, products and quotients: , , , and when . On a compact -neighbourhood with , every required kernel derivative is bounded by a fixed polynomial-times-Gaussian function of , integrable by comparison with a Gaussian. On each compact -interval its difference quotients converge uniformly; the mean value theorem bounds their tails by that same integrable majorant. Splitting into this interval and its tail justifies differentiation under the improper integral without a Lebesgue change-of-variable theorem or a choice assumption (The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with ).
[F3] The quadratic conjugate is by completing the square in The Legendre transform of a finite-valued convex Hamiltonian. For the bounded uniformly continuous datum , the infimum is attained (Finiteness, superlinearity of the Lagrangian and localisation of Hopf--Lax near-minimisers) and The Hopf--Lax formula solves the Hamilton--Jacobi Cauchy problem supplies the viscosity solution, finite-strip bounded uniform continuity, initial trace and uniqueness. At a differentiable minimizer the derivative is zero by Fermat's theorem: an interior differentiable local extremum has zero gradient. The semigroup is The Hopf--Lax operators form a semigroup (dynamic programming).
Proof technique: Cole--Hopf representation, an approximate-identity bound, and the variational reduction of the limit.
The Cole--Hopf family solves the viscous equation. Write . The substitution and show , and the same substitution with the Gaussian tail shows that is an approximate identity as . Differentiating the kernel gives , so by [F2] , , and satisfies , that is , on . The approximate identity applied to the bounded uniformly continuous function gives uniformly as , hence uniformly; and because and the kernel has unit mass.
Uniform comparison with Hopf--Lax. Fix , , put and , and take one minimiser . Then , , and . Applying the mean value theorem [F2] to shows that the derivative of is nonpositive for and nonnegative for ; a second application gives . The full Gaussian integral therefore gives , hence . Conversely, everywhere, and . If , the latter is at least . Splitting the integral at this radius and using [F2] bounds its normalized ratio by Thus . These two bounds hold for every and ; at the functions agree. Taking their maximum for gives the stated absolute error bound. Its right-hand side tends to zero: writing , the integral formula for the logarithm in [F2] gives , hence .
The limit is the viscosity solution. By [F3] the function is a viscosity solution of ; independently, since is 1-Lipschitz with , the bounds hold (competitor and the Lipschitz bound for ), so has the initial trace and is bounded and uniformly continuous. The uniform estimate of step 1.2, whose right-hand side tends to zero, then gives locally uniform convergence of the viscous family to this viscosity solution without invoking a general vanishing-viscosity theorem and without a momentum-Lipschitz hypothesis.
Depends on
- The Hamilton--Jacobi Cauchy problem and its classical solutions
- 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
- The Hopf--Lax operator and the Hopf--Lax formula
- The Legendre transform of a finite-valued convex Hamiltonian
- Finiteness, superlinearity of the Lagrangian and localisation of Hopf--Lax near-minimisers
- The Hopf--Lax operators form a semigroup (dynamic programming)
- The heat operator, the heat equation, and the Cauchy problem
- The heat kernel on $\mathbb{R}^n$ and its causal extension
- The Laplacian of a $C^2$ function and of a $C^2$ vector field
- The total (Fréchet) derivative $Df(a)$ as the linear first-order approximation with $o(\|h\|_2)$ remainder
- The Gaussian integral $\int_{-\infty}^{\infty}e^{-x^2}\,dx=\sqrt{\pi}$
- Change of variable in an improper integral
- Dominated convergence
- The exponential function is smooth and $(\exp)'=\exp$
- The chain rule, in one line from Carathéodory: if $g$ is differentiable at $c$ and $f$ is differentiable at $g(c)$, then $f \circ g$ is differentiable at $c$ with $(f \circ g)'(c) = f'(g(c))\,g'(c)$
- Sums, scalar multiples, products and quotients: $(f+g)'(c) = f'(c) + g'(c)$, $(\alpha f)'(c) = \alpha f'(c)$, $(fg)'(c) = f'(c)g(c) + f(c)g'(c)$, and $(f/g)'(c) = \bigl(f'(c)g(c) - f(c)g'(c)\bigr)/g(c)^{2}$ when $g(c) \ne 0$
- The derivatives of sine and cosine are cosine and minus sine
- Sine and cosine are $1$-Lipschitz on $\mathbb{R}$
- Parity and the Pythagorean identity for sine and cosine
- The Hopf--Lax formula solves the Hamilton--Jacobi Cauchy problem
- The mean value theorem, as the case $g(x) = x$ of Cauchy's: for $f$ continuous on $[a,b]$ with $a < b$ and differentiable on $(a,b)$ there is $c \in (a,b)$ with $f(b) - f(a) = f'(c)(b-a)$
- The natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t
- Fermat's theorem: an interior differentiable local extremum has zero gradient
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Sources
- 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)
- 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)
- 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)