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The convex entropy condition for a single shock is the chord condition
Statement
Let , , and let be a piecewise weak solution with a single jump from the left state to the right state across a curve whose speed satisfies the Rankine--Hugoniot condition . Put so that . Then the entropy inequality of Convex entropy--entropy flux pairs holds for every convex entropy pair if and only if equivalently, in the case the graph of on lies above the chord joining and , while in the case it lies below that chord, both in the non-strict sense (Piecewise smooth shocks and one-sided traces, Convex and strictly convex functions on Euclidean convex sets).
Facts & Assumptions
Given: , , a single-jump piecewise weak solution with states and speed satisfying Rankine--Hugoniot, and an arbitrary convex entropy pair with and .
The jump configuration and Rankine--Hugoniot condition are as in Piecewise smooth shocks and one-sided traces and The Rankine--Hugoniot jump condition in space--time normal form: in one dimension the interface is a graph with minus side , plus side , unit normal , and .
The graph integration of The Rankine--Hugoniot jump condition in space--time normal form, applied to , gives the interface production , where the latter distribution pairs by . For smooth pairs the production vanishes in the classical side regions by the chain rule. Smooth nonnegative bumps can be placed on any interface patch (Explicit compactly supported smooth cutoffs). Thus the entropy inequality is equivalent to nonpositive jump production at every point (Convex entropy--entropy flux pairs, Kruzhkov entropy solutions).
Primitives: since and are continuous, up to a constant, and increments of functions are integrals of their derivatives; the fundamental theorem of calculus, its use under limits, and the primitive construction are as in Every continuous function on an interval has a primitive; two primitives differ by a constant; and for any primitive and The second fundamental theorem: if is differentiable on with and is integrable, then .
Approximation tools: monotone bounded convergence for limits of test functions and dominated convergence for the passing of inequalities (Monotone convergence for the integral, Dominated convergence, Absolute value in an ordered field).
Proof
Jump entropy production. By [F2] the entropy inequality for is equivalent to . Using [F3] in the orientation of the jump, and , so the condition is .
Smooth-pair sufficiency. At a fixed interface point put , and . Integration by parts, with , gives If and , this is nonpositive since . If and , reversal of the integral gives the same conclusion.
Necessity. If and for some interior , continuity supplies an interval on which . Choose a smooth nonnegative bump supported there and not identically zero, and define , . Then , so this is a smooth convex entropy; step 2.1 gives strictly positive production, a contradiction. If and , the same bump and reversed integral again give positive production. Thus all smooth convex inequalities force . For a Kruzhkov pair with between the states, a direct subtraction gives ; outside the interval it is zero. This also proves exact equivalence with the Kruzhkov jump criterion.
Nonsmooth pairs and chord interpretation. A finite convex entropy is uniformly approximated on compact intervals by its convolution with a nonnegative smooth unit-mass bump at scale . These convolutions are smooth and convex (average the convexity inequality), and their derivatives converge at each differentiability point of , while remaining bounded by a common local Lipschitz constant. The integral fluxes therefore converge uniformly by dominated convergence, so the smooth entropy inequalities of step 2.1 pass to every locally Lipschitz convex pair, both in the side regions and at the jump. Together with step 3.1 this proves the equivalence. Finally means lies above for ; means it lies below for . This line is the chord through the two states.
Depends on
- Piecewise smooth shocks and one-sided traces
- The Rankine--Hugoniot jump condition in space--time normal form
- Convex entropy--entropy flux pairs
- Kruzhkov entropy solutions
- Convex and strictly convex functions on Euclidean convex sets
- Every continuous function on an interval has a primitive; two primitives differ by a constant; and $\int_a^b f = G(b)-G(a)$ for any primitive $G$
- The second fundamental theorem: if $G$ is differentiable on $[a,b]$ with $G' = f$ and $f$ is integrable, then $\int_a^b f = G(b)-G(a)$
- Dominated convergence
- Monotone convergence for the integral
- Absolute value in an ordered field
- Explicit compactly supported smooth cutoffs
Used by
- The Lax shock inequalities for convex scalar laws Corollary
- The convex-flux Riemann formula fails for a nonconvex flux Counterexample
- The expansion shock is weak but not entropic Counterexample
- Distinct states with equal flux give a stationary weak discontinuity Example
- Gradient catastrophe before shock formation Example
- Nonconvex Riemann data can require a composite shock--rarefaction wave Example
- The Burgers shock Riemann solution Example
- The Kruzhkov entropy inequality across a shock Example
- Oleinik's one-sided estimate characterizes bounded entropy solutions Theorem
- The Riemann solver for a strictly convex flux Theorem
Dependency tree · two levels
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Sources
- 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)
- 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)