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The Hamilton--Jacobi correspondence in one dimension
Statement
Assume Countable Choice and Dependent Choice (The Axiom of Countable Choice (), The axiom of dependent choice: a relation in which every element is related to something admits an -indexed chain) for the heat-kernel, completeness and vanishing-viscosity extraction interfaces used below. Let be strictly convex and superlinear, with as .
(i) Let and let be its a.e. derivative. The Hopf--Lax function where , is the unique viscosity solution of with initial datum among functions bounded and uniformly continuous on for every finite (The Hamilton--Jacobi Cauchy problem and its classical solutions, Discontinuous viscosity solutions through the two envelopes). Its a.e. spatial derivative is the bounded Kruzhkov entropy solution of with initial datum .
(ii) Conversely, let have compact support and let be its bounded Kruzhkov entropy solution, using the strong local initial trace. With the function is the unique viscosity solution of with datum in the same finite-slab class as in (i), and almost everywhere. In the compactly supported datum class of (ii), differentiation and the normalized primitive are inverse correspondences (Kruzhkov entropy solutions, Existence of bounded Kruzhkov entropy solutions).
Facts & Assumptions
Given: Countable and Dependent Choice, a strictly convex superlinear flux , its conjugate , and the two datum classes in the statement.
Hopf--Lax is a viscosity solution bounded and uniformly continuous on each finite time slab for bounded uniformly continuous data, unique in that finite-slab class; its minimisers exist, it has the semigroup property, and it contracts the supremum norm (The Hopf--Lax operator and the Hopf--Lax formula, Finiteness, superlinearity of the Lagrangian and localisation of Hopf--Lax near-minimisers, The Hopf--Lax formula solves the Hamilton--Jacobi Cauchy problem, The Hopf--Lax operator is a contraction in the supremum norm, The Legendre transform of a finite-valued convex Hamiltonian, The Hamilton--Jacobi Cauchy problem and its classical solutions, Discontinuous viscosity solutions through the two envelopes, Viscosity subsolutions and supersolutions of a first-order equation and of the Cauchy problem).
The normalized flux gives the same conservation law. For smooth compactly supported data its viscous solutions are mild classical solutions, obey the range and bounds, and are locally precompact in space--time , with limits continuous into local . The existence proof passes their weak and entropy identities to the unique entropy solution (The viscous scalar Cauchy problem with smooth data has a global classical solution, Uniform L-infinity, mass and energy bounds for the viscous approximations, Vanishing-viscosity families are locally precompact in , Existence of bounded Kruzhkov entropy solutions, Kruzhkov entropy solutions, Distributional weak solutions of the Cauchy problem).
The heat kernels have unit mass, solve the heat equation, have Gaussian derivative estimates, and give the heat evolution; smooth cutoffs have derivatives and (The heat evolution of initial data, Normalisation, parabolic scaling, heat equation and derivative bounds for the heat kernel, Explicit compactly supported smooth cutoffs). Fubini, dominated convergence and FTC justify the kernel calculations (Fubini's theorem for L^1 functions on a sigma-finite product, Dominated convergence, The second fundamental theorem: if is differentiable on with and is integrable, then ).
Entropy solutions contract in global at every time for their continuous representatives, and locally on shrinking balls; they are unique in the bounded class. Compactly supported data stay supported in a common bounded interval on every finite horizon (Global contraction from the local estimate, Local contraction for two entropy solutions, Uniqueness, comparison and order preservation of entropy solutions, Finite propagation for scalar conservation laws).
Under the declared choice assumptions, indefinite integrals of functions are absolutely continuous and differentiate to their integrands almost everywhere (The indefinite integral of an function is absolutely continuous, The indefinite integral of an function is differentiable almost everywhere). Lipschitz functions are absolutely continuous on compact intervals, so their a.e. derivatives recover their increments by Fundamental theorem of calculus for absolutely continuous functions. is complete. Mollification gives smooth compactly supported approximations to compactly supported bounded data in , with the same bound, with norm convergence supplied by Every approximate identity converges to the identity in for (Fundamental theorem of calculus for absolutely continuous functions, Riesz-Fischer completeness of for , An approximate identity on , A unit-mass smooth bump generates an approximate identity, Convolution with a mollifier is smooth, and derivatives pass under the integral sign, The Axiom of Countable Choice (), The axiom of dependent choice: a relation in which every element is related to something admits an -indexed chain).
Proof
Conjugate calculus and localization. Strict convexity makes strictly increasing: convex secant inequalities give monotonicity, and equality at two distinct points would make affine between them. Superlinearity makes its limits (a finite derivative bound at either end would bound linearly there). Thus is continuous, and is the unique maximiser of . The inequalities for , and their reversed versions for , show that . If is -Lipschitz and minimises , perturb in each direction and use the Lipschitz bound to obtain . Hence , where . Translating competitors shows that is -Lipschitz in . Moreover , where by the conjugate definition, and the competitor gives . These bounds and the semigroup law give a uniform time Lipschitz bound on finite horizons. Also for all , with equality at , so . Sup contraction therefore gives , proving boundedness on each finite slab, with no time-uniform bound asserted.
Viscous primitives for a smooth compact datum. Let , , and let be [F2]'s viscous solution for . Define Differentiating in gives exactly the mild identity for , so . Heat-potential cancellation as in the viscous construction makes classical at positive times, and its equation is . At its initial heat term tends to zero, while the integral tends to : , and convolution of an function with a bounded Gaussian tends to zero at spatial infinity; boundedness dominates the finite time integral. Thus . Testing the smoothed balance with an exterior cutoff, then removing a second outer cutoff, gives This is the cutoff calculation of the bound in [F2], with and [F3]'s derivative bounds. It supplies uniform tails.
A time modulus for the viscous primitives. The Gaussian convolution identity follows by completing the square in the kernel product and using unit mass and Fubini. Applying it to the definition in step 1.2 gives . Put and . Since , these primitives are -Lipschitz in , including at . Gaussian scaling gives , with by the Gaussian bound. Hence unit mass gives , and heat contraction bounds the time integral by . Thus for , uniformly in .
Uniform convergence of primitives. By [F2], choose a subsequence locally in space--time , where is the entropy solution of datum , continuous into local . A further subsequence converges on almost every time slice locally in . The uniform tails of step 1.2 pass to these slices by monotone exhaustion, and to every time by local continuity on bounded annuli followed by exhaustion. They imply with uniformly small tails; local continuity then gives global continuity on . Moreover : the tails are uniformly small outside large intervals, the compact space--time convergence handles times away from , and the bound controls the remaining small time intervals on the fixed spatial interval. For , the primitive formula of step 1.2 gives , so the integral in time of the left side tends to zero. The function is continuous in time in the supremum norm by global continuity. Together with the common modulus of step 2.1, this implies uniform convergence on : a discrepancy of size at any time would persist with size at least on a one-sided interval of length bounded below independently of , contradicting that vanishing time integral.
The viscosity limit. At a strict local maximum of , with smooth , step 3.1 gives nearby local maxima of . The classical equation in step 1.2 gives there; passing to the limit proves the subsolution inequality. Local minima give the supersolution inequality. Adding a fourth-power distance term makes a contact strict without changing its first derivatives; approximation in on a compact contact neighbourhood reduces tests to smooth tests. Thus is a viscosity solution with initial datum . It is bounded by , spatially -Lipschitz, and uniformly continuous in time on by step 3.1. Uniqueness in [F1] gives .
Compactly supported bounded data. For compactly supported , choose smooth compactly supported in with , using [F5]. Their primitives converge uniformly since . By [F4], their entropy solutions converge uniformly in time in to the solution of datum ; their normalized primitives therefore converge uniformly as well. The Hopf--Lax sup contraction in [F1] passes the identity of step 4.1 to . In particular a.e. by [F5]. This proves (ii), including the normalization .
A bounded Lipschitz primitive with nonintegrable derivative. Let be as in (i), and set . It has the same sup and Lipschitz bounds, and derivative a.e. The difference between and the normalized primitive of is its constant value ; adding this constant commutes with Hopf--Lax. Thus step 5.1 shows that is an entropy solution with datum . Step 1.1 places every minimiser for both and within of . Consequently whenever , since all those competitors see identical data. Every compact positive-time cylinder is contained in such a region for large , so the a.e. derivative is bounded by and obeys the weak equation and every entropy inequality locally, hence globally. For a compact spatial set, fix large enough that this equality holds throughout on that set; the strong local trace of the compact-data solution supplies the trace of equal to . This proves (i), with entropy uniqueness from [F4].
Conclusion. Step 6.1 proves the derivative correspondence for the entire bounded Lipschitz primitive class, including nonintegrable derivatives, while step 5.1 proves the normalized primitive correspondence for compactly supported integrable data. In that latter class, a.e. differentiation returns , and integration from with the time shift returns the prescribed viscosity potential. All arguments hold on an arbitrary finite horizon; [F1] gives viscosity uniqueness on each such slab, while [F4] gives compatibility of the entropy solutions on overlapping horizons. These are the global solutions and inverse correspondences asserted.
Depends on
- Kruzhkov entropy solutions
- Distributional weak solutions of the Cauchy problem
- Local $L^1$ contraction for two entropy solutions
- Uniqueness, comparison and order preservation of entropy solutions
- Finite propagation for scalar conservation laws
- The Hamilton--Jacobi Cauchy problem and its classical solutions
- Discontinuous viscosity solutions through the two envelopes
- The Hopf--Lax formula solves the Hamilton--Jacobi Cauchy problem
- The Hopf--Lax operator is a contraction in the supremum norm
- 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
- Fundamental theorem of calculus for absolutely continuous functions
- An $L^1$ approximate identity on $\mathbb{R}^n$
- A unit-mass smooth bump generates an $L^1$ approximate identity
- Convolution with a mollifier is smooth, and derivatives pass under the integral sign
- Existence of bounded Kruzhkov entropy solutions
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- The axiom of dependent choice: a relation in which every element is related to something admits an $\mathbb{N}$-indexed chain
- Riesz-Fischer completeness of $L^p$ for $1 \le p \le \infty$
- The viscous scalar Cauchy problem with smooth data has a global classical solution
- Uniform L-infinity, mass and energy bounds for the viscous approximations
- Vanishing-viscosity families are locally precompact in $L^1$
- Global $L^1$ contraction from the local estimate
- The heat evolution $H_t$ of initial data
- Normalisation, parabolic scaling, heat equation and derivative bounds for the heat kernel
- Dominated convergence
- The second fundamental theorem: if $G$ is differentiable on $[a,b]$ with $G' = f$ and $f$ is integrable, then $\int_a^b f = G(b)-G(a)$
- Fubini's theorem for L^1 functions on a sigma-finite product
- Explicit compactly supported smooth cutoffs
- Viscosity subsolutions and supersolutions of a first-order equation and of the Cauchy problem
- The indefinite integral of an $L^1$ function is differentiable almost everywhere
- The indefinite integral of an $L^1$ function is absolutely continuous
- Every $L^1$ approximate identity converges to the identity in $L^p$ for $1 \le p < \infty$
Used by
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Sources
- C. De Lellis, F. Otto and M. Westdickenberg, “Minimal entropy conditions for Burgers equation,” 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)
- S. N. Kruzhkov, “First order quasilinear equations in several independent variables,” Mat. USSR-Sbornik 10 (1970), 217–243, complete English translation (standard reference, not scraped)