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Existence of bounded Kruzhkov entropy solutions
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 , , let be locally Lipschitz and , and let . Then there exists a Kruzhkov entropy solution of with in the strong sense, satisfying for every . By Uniqueness, comparison and order preservation of entropy solutions this solution is unique. The route is vanishing viscosity, and the compactness comes from the translation lemmas, not from the energy dissipation alone (Scalar conservation laws, fluxes and Cauchy data, Kruzhkov entropy solutions).
Facts & Assumptions
Given: Countable and Dependent Choice, , , a locally Lipschitz flux , and with .
The weak formulation: is a distributional weak solution of on iff for every ; subtracting the constant from the flux changes neither the divergence term nor the Kruzhkov fluxes , so all existence and entropy statements may be proved for the normalized flux and transferred back (Scalar conservation laws, fluxes and Cauchy data, Kruzhkov entropy solutions).
Viscous solutions: for every flux with , every and every datum in , there is a global classical solution of with , range contained in the initial range, and (The viscous scalar Cauchy problem with smooth data has a global classical solution, Uniform L-infinity, mass and energy bounds for the viscous approximations).
Viscous entropy balance: for every convex entropy with flux , pointwise, and the Laplacian term integrates by parts against compactly supported tests (The viscous entropy dissipation identity).
Mollification: convolving a locally integrable function with a radial mollifier gives a smooth function; the mollified derivatives are the convolutions of the derivatives, and on compact sets the mollified flux and its derivative converge uniformly to the original for data; approximate identities converge in , and the classes of are equivalence classes (A unit-mass smooth bump generates an approximate identity, Convolution with a mollifier is smooth, and derivatives pass under the integral sign, The space as the quotient by null functions). The norm convergence assertion is Every approximate identity converges to the identity in for ; the compact cutoffs are A Euclidean bump for a compact set inside an open set.
Vanishing-viscosity compactness: for smooth compactly supported data, fluxes with and uniformly bounded derivatives on the range , and , , the viscous solutions have a subsequence converging in for every compact and almost everywhere on to with , having a representative in with in ; the extraction uses Dependent Choice (Vanishing-viscosity families are locally precompact in ).
Contraction and uniqueness: for data in the global difference of two entropy solutions is bounded by the difference of their data, at every time if the representatives are -continuous; two bounded Kruzhkov entropy solutions with the same data coincide almost everywhere (Global contraction from the local estimate, Uniqueness, comparison and order preservation of entropy solutions).
Limits and completeness: dominated and monotone convergence for integrals over fixed compact sets with uniformly bounded integrands, and completeness of for compact (Dominated convergence, Monotone convergence for the integral, Riesz-Fischer completeness of for ).
Proof
Normalization and smooth flux approximation. By [F1] it suffices to treat . Choose a radial mollifier and, for , set , where equals on and is supported in . Then each is (hence ), , and on one has and uniformly by [F4]; in particular .
Smooth-datum case: extraction. Let with , choose with , and let be the global classical solution with flux and datum given by [F2]. Then by the range bound of [F2], so the hypotheses of [F5] are met; passing to a subsequence (relabelled) there is with , in for every compact and almost everywhere, and has a representative in with in . At every time this representative obeys almost everywhere: for in the full-measure set where the construction of [F5] passes the bound, slicewise almost-everywhere convergence preserves it, and general follows by -continuity.
The weak equation passes to the limit. For , testing the pointwise viscous equation of gives , whose right side is bounded by . The left side converges to by [F7], because almost everywhere with uniform bounds and uniformly on ; hence is a weak solution for , and therefore for by [F1].
Entropy inequalities for . Fix and , and put , a convex function with , , and ; let , so . Let be nonnegative. Multiplying the exact viscous balance [F3] for the pair by , integrating over and integrating the Laplacian by parts gives — the only boundary term is the one at , displayed with the initial datum; the last term is nonnegative and the first is bounded by , so . On the other hand converges by [F7]: almost everywhere, , and uniformly on , where , so the limit obeys .
The Kruzhkov inequalities. Letting in step 2.2, uniformly on and uniformly on by dominated convergence, since and is continuous there; hence dominated convergence gives for every nonnegative and every . If , then almost everywhere, is affine on the range , and , so the identity holds by step 2.1, and similarly for ; thus all Kruzhkov inequalities hold and, with the trace of step 1.2, is a bounded Kruzhkov entropy solution with datum .
General datum: approximation and Cauchy property. Now let be arbitrary. By [F4] choose with and in (truncate to a large ball and mollify). Steps 1.1–3.1 applied to each smooth datum give bounded Kruzhkov entropy solutions for the flux , with -continuous representatives and . By [F6], for every , , so for every compact , and the right side tends to as .
The limit for general datum. By completeness of [F7] and the uniform-in-time contraction in step 4.1, converges in for each compact ball , consistently on nested balls, to . Since in , this representative has initial trace . For every and ball , the inequality and show, after integration on and passage to the limit, that almost everywhere there. Thus for every . The weak equation passes to the limit because is Lipschitz on and in local . For each fixed , is -Lipschitz and is Lipschitz on with constant at most . Therefore the entropy and flux terms in the inequality of step 3.1 converge in on every test support; the initial entropy term converges by in and the same Lipschitz bound for . Passing to the limit proves every Kruzhkov inequality without requiring an almost-everywhere subsequence for the general-data approximation. Hence is a bounded Kruzhkov entropy solution with datum .
Uniqueness and conclusion. If is another bounded Kruzhkov entropy solution with the same datum , then almost everywhere on by [F6], so the constructed solution is the unique bounded Kruzhkov entropy solution with this datum; this completes the proof.
Depends on
- Vanishing-viscosity families are locally precompact in $L^1$
- Viscous solutions contract spatial translates in L-one
- Uniform L-infinity, mass and energy bounds for the viscous approximations
- The viscous scalar Cauchy problem with smooth data has a global classical solution
- Kruzhkov entropy solutions
- The viscous entropy dissipation identity
- Uniqueness, comparison and order preservation of entropy solutions
- Global $L^1$ contraction from the local estimate
- A unit-mass smooth bump generates an $L^1$ approximate identity
- Convolution with a mollifier is smooth, and derivatives pass under the integral sign
- Dominated convergence
- Monotone convergence for the integral
- 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
- The space $L^p(\mu)$ as the quotient by null functions
- Scalar conservation laws, fluxes and Cauchy data
- Riesz-Fischer completeness of $L^p$ for $1 \le p \le \infty$
- Every $L^1$ approximate identity converges to the identity in $L^p$ for $1 \le p < \infty$
- A Euclidean bump for a compact set inside an open set
Used by
- Mass conservation for compactly supported entropy solutions Corollary
- Entropy solution orbits are strongly continuous in L¹ Theorem
- Oleinik's one-sided estimate characterizes bounded entropy solutions Theorem
- The entropy solution semigroup on L¹∩ L^∞ Theorem
- The Hamilton--Jacobi correspondence in one dimension Theorem
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Sources
- 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)
- G. A. Chechkin and A. Yu. Goritsky (translated by B. Andreianov), “S. N. Kruzhkov’s lectures on first-order quasilinear PDEs,” in Analytical and Numerical Aspects of PDEs, de Gruyter 2009, complete lecture-notes text (standard reference, not scraped)
- Alberto Bressan, “Hyperbolic Conservation Laws: An Illustrated Tutorial,” 2009, complete lecture notes (standard reference, not scraped)