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Characteristics and the Riccati equation for the spatial derivative
Statement
Let , , and let be a classical solution of (Scalar conservation laws, fluxes and Cauchy data, maps and multi-index derivative notation in Euclidean space).
(i) Along every characteristic solving , the value is constant.
(ii) If in addition , then satisfies along each characteristic Consequently, if on the range of , then is nonincreasing along characteristics. More precisely, fix and a characteristic through , and set . If and , then, as long as the classical solution exists along that characteristic, If the solution exists along this characteristic up to that time, its derivative tends to at ; hence a solution cannot persist through along this characteristic (The total (Fréchet) derivative as the linear first-order approximation with remainder, 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 , Linear transport equations and their characteristic flow).
Facts & Assumptions
Given: , , a classical solution of , together with a characteristic solving ; in part (ii) additionally and .
A classical solution satisfies pointwise; since and , the composition is with (Scalar conservation laws, fluxes and Cauchy data, The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with ).
For the transport field , which is because is and is , the solution satisfies , and the curve is a characteristic of that transport equation, so (Linear transport equations and their characteristic flow, A transport equation restricts to a linear ODE along each characteristic).
Sums, scalar multiples and products of differentiable functions are differentiable, with the usual sum and product rules; for and , the functions and are , while , , and are continuous, so is continuous (Sums, scalar multiples, products and quotients: , , , and when , maps and multi-index derivative notation in Euclidean space, The total (Fréchet) derivative as the linear first-order approximation with remainder). Equality is supplied by Clairaut--Schwarz theorem for continuous second partial derivatives.
A continuous field locally Lipschitz in its state has a unique local and maximal ODE solution (Picard-Lindelöf local existence and uniqueness for first-order systems, Every Picard–Lindelöf initial value problem has one maximal solution on an open interval). The field is locally state-Lipschitz because its derivative is continuous and bounded on compact boxes.
Proof
Part (i). With , [F2] gives along the characteristic. Substituting the characteristic ODE and then the pointwise equation of [F1] gives . Hence is constant along every characteristic.
Part (ii): differentiation in . Assume now , so that is and is by [F1] and [F3]. Differentiating the pointwise equation in gives , and the product and chain rules give , so that .
The Riccati equation along characteristics. Along the characteristic of step 1.1, [F2] applied to the function gives . By step 1.2 this equals , which is the asserted Riccati equation.
Monotonicity. By step 1.1, is constant along the characteristic, so along that curve is a constant and step 2.1 reads . If on the range of , then , so and is nonincreasing along the characteristic.
Exact Riccati solution. Suppose and ; by step 3.1 the constant is along the whole characteristic. The scalar ODE has a locally Lipschitz right-hand side, so uniqueness in [F4] and the zero solution imply that cannot reach zero on its interval of existence. Since , it remains negative there. Hence one has by step 3.1, hence and therefore .
Blow-up and the persistence bound. Since by step 1.1, the speed is constant, so the characteristic is the straight line , on its maximal interval. If that interval ended at an interior time , the straight line would have a finite endpoint ; continuity would give , and [F4] would extend the characteristic with initial condition , contradicting maximality. Thus its interval is . The denominator in step 4.1 is positive exactly for and tends to as , while , so . Were a solution defined on with , then would be continuous, hence finite, on the compact rectangle , with , and along the straight characteristic it would equal the explicit solution of step 4.1, which is unbounded on that interval near : a contradiction. Hence the solution cannot persist through along this characteristic.
Depends on
- Scalar conservation laws, fluxes and Cauchy data
- Linear transport equations and their characteristic flow
- A transport equation restricts to a linear ODE along each characteristic
- 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 $g(c) \ne 0$
- The total (Fréchet) derivative $Df(a)$ as the linear first-order approximation with $o(\|h\|_2)$ remainder
- $C^k$ maps and multi-index derivative notation in Euclidean space
- Clairaut--Schwarz theorem for continuous second partial derivatives
- Picard-Lindelöf local existence and uniqueness for first-order systems
- Every Picard–Lindelöf initial value problem has one maximal solution on an open interval
Used by
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Sources
- G. A. Chechkin and A. Yu. Goritsky (translated by B. Andreianov), 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)
- 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)
- Victor Ivrii, Partial Differential Equations, University of Toronto, current complete 415-page PDF (standard reference, not scraped)