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Gradient catastrophe before shock formation
Example
Assume Countable Choice (The Axiom of Countable Choice ()) for entropy uniqueness. Let and . Then , , and at . For , the characteristic map is an increasing diffeomorphism of , and the classical solution is with In particular , so the first gradient catastrophe is at . At the solution remains continuous, with unbounded slope at ; a nonzero shock is present for every . More precisely, for each the unique satisfying gives characteristics from meeting at ; the shock traces are and , and its speed is . This is a compressive Burgers shock, and the explicit outer-branch construction below gives its entropy continuation beyond . The datum is not in , so the integrable-data existence theorem does not apply. Uniqueness is Uniqueness, comparison and order preservation of entropy solutions (Characteristics and the Riccati equation for the spatial derivative, Kruzhkov entropy solutions, The convex entropy condition for a single shock is the chord condition).
Facts & Assumptions
Given: Countable Choice, the flux and the initial datum , together with the characteristic map for and the classical solution ansatz .
Characteristic equations: for a classical solution, is constant along every characteristic with , and satisfies the transport identities used below along characteristics (Characteristics and the Riccati equation for the spatial derivative, Kruzhkov entropy solutions).
Calculus: the chain rule for compositions, the algebra of derivatives, the mean value theorem for differentiable functions, and the inverse function theorem giving a smooth local inverse of a map with invertible derivative (The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with , Sums, scalar multiples, products and quotients: , , , and when , The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with , The Euclidean inverse function theorem).
Chord/Lax admissibility for a jump: for the convex flux , a nontrivial Rankine--Hugoniot jump from to is entropy-admissible if and only if ; equivalently (The convex entropy condition for a single shock is the chord condition). The jump computation is The Rankine--Hugoniot jump condition in space--time normal form. Bounded pointwise convergence passes local integrals by Dominated convergence, and entropy uniqueness is Uniqueness, comparison and order preservation of entropy solutions.
Proof
The data. is smooth and bounded, with and attained only at . The flux is with .
The characteristic map is a diffeomorphism for . for and all , so by the mean value theorem [F2] is strictly increasing; moreover tends to as , so maps onto . A strictly increasing surjection is a homeomorphism, and since never vanishes, the inverse function theorem [F2] makes the inverse smooth with and, differentiating in , .
The outer branches for . The function increases up to and then decreases to , so its unique positive zero satisfies . Hence on , and maps this interval bijectively onto ; by oddness it maps bijectively onto . For choose the unique with , and for choose the unique ; define . These branches are smooth by the inverse function theorem, solve Burgers directly: implicit differentiation gives , , hence , and have traces , at . Their fluxes agree, so the stationary jump satisfies Rankine--Hugoniot and is entropy-admissible by [F3].
The ansatz is a classical solution. Put for , which is smooth in . By the chain rule and step 1.2, and . Hence , so solves classically on . Since satisfies , this is exactly the family of characteristics of [F1], along which is the constant .
The gradient formula. Differentiating in and using gives . At , where , this reads for .
Catastrophe at . For each , as , the supremum being attained at ; the classical solution exists for every by step 2.1, and its slope becomes unbounded as . Hence the first gradient catastrophe occurs at .
The limit profile at . with equality only at , so is strictly increasing with range ; its inverse is continuous, and the profile is continuous. For , implicit differentiation as in step 2.2 with gives , which tends to as , i.e. as the corresponding point . Thus at the solution is still continuous but has unbounded slope at : a gradient catastrophe, not a jump.
Entropy continuation and uniqueness. The branches of step 1.3 give a bounded piecewise smooth profile for . Its only jump is the descending stationary shock, so graph integration and the chord criterion give the weak equation and all smooth convex entropy inequalities; smooth convex approximation gives the Kruzhkov inequalities. For the smooth solution of step 2.1 has zero entropy production and attains locally uniformly. As from either side, the selected feet converge for every to ; boundedness and dominated convergence give matching local traces to the continuous profile of step 3.2. Integrating separately below and above and taking these traces cancels the time-interface terms in both weak and entropy pairings. Thus this is a global entropy solution with the stated datum. Its uniqueness follows from [F3], even though is not integrable. The first slope blow-up is at , and a nonzero shock is present for every .
Depends on
- Characteristics and the Riccati equation for the spatial derivative
- Kruzhkov entropy solutions
- The convex entropy condition for a single shock is the chord condition
- The Euclidean inverse function theorem
- 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 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 $g(c) \ne 0$
- Uniqueness, comparison and order preservation of entropy solutions
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- The Rankine--Hugoniot jump condition in space--time normal form
- Dominated convergence
Used by
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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)
- Victor Ivrii, Partial Differential Equations, University of Toronto, current complete 415-page PDF (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)