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The Kruzhkov doubling inequality for two entropy solutions
Statement
Assume Countable Choice (The Axiom of Countable Choice ()). Let , , , and let be bounded Kruzhkov entropy solutions on in the sense of Kruzhkov entropy solutions. Then, in the sense of distributions on , Equivalently, for every nonnegative , Here . Together with the weak equation this is the doubling-variables inequality from which uniqueness and the local contraction are read off (Distribution, Distributional derivative).
Facts & Assumptions
Given: Countable Choice, , , , bounded entropy solutions on , a nonnegative test function , and nonnegative unit-mass even mollifiers on and on with , and (A radial mollifier family in Rn, Convolution of a distribution with a test function).
For every the pair with , is a convex entropy pair with , and each of satisfies the corresponding distributional inequality against every nonnegative test function (Kruzhkov entropy solutions, Convex entropy--entropy flux pairs, Absolute value in an ordered field).
Fubini and dominated convergence apply on compact supports (Fubini's theorem for L^1 functions on a sigma-finite product, Dominated convergence). After multiplication by a fixed cutoff, lie in and their translations are norm continuous under Countable Choice ( in as , for , The Axiom of Countable Choice (), The space as the quotient by null functions). This is the diagonal interface; distributional mollifier convergence alone would not supply it.
Proof
The doubled test function. For smaller than half the distance of the temporal support of from , set ; it is nonnegative and smooth with compact support in each pair of variables, and , .
The inequality for with state . For almost every the constant is admissible in [F1], and testing the entropy inequality for by the nonnegative function gives ; the integrand is bounded by a constant times the compactly supported smooth and its derivatives, so the left side is a bounded measurable function of .
Adding the symmetric inequality. Integrating the inequality of step 1.2 over , and likewise testing the entropy inequality for with and integrating over , then adding, Fubini's theorem gives ; the two integrals have the same bounded integrand because of the symmetry of .
Passing to the diagonal. Put and . On a fixed compact set containing the doubled supports, translation continuity gives uniformly for . The map is Lipschitz in each variable on the common bounded range: when a variable crosses the other one, split the interval at that point and use and the flux Lipschitz bound. Hence replacing by changes the doubled integral by at most . Replacing by has error by smoothness, boundedness and unit kernel mass. Step 2.1 therefore converges to .
Depends on
- Kruzhkov entropy solutions
- Convex entropy--entropy flux pairs
- Distribution
- Distributional derivative
- Convolution of a distribution with a test function
- A radial mollifier family in Rn
- Dominated convergence
- Fubini's theorem for L^1 functions on a sigma-finite product
- The space $L^p(\mu)$ as the quotient by null functions
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Absolute value in an ordered field
- $\|\tau_h f - f\|_p \to 0$ in $L^p(\mathbb{R}^n)$ as $h \to 0$, for $1 \le p < \infty$
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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)