How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Scalar conservation laws, fluxes and Cauchy data
Definition
Let and let be an open space--time cylinder. The equation is the scalar conservation law in conservation form, where the unknown is the conserved quantity and the flux is a map . The classical expression is used when and are ; the distributional expression is used whenever . In particular, if is bounded measurable and is continuous, then is locally integrable and its distributional divergence is defined (A locally integrable function on , The space as the quotient by null functions).
A Cauchy problem is posed separately on and has initial datum , understood as an equivalence class; the weak formulation records it in the initial boundary term and the entropy formulation uses a strong local trace. If and , the chain rule gives the equivalent quasilinear equation (The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with , maps and multi-index derivative notation in Euclidean space, The total (Fréchet) derivative as the linear first-order approximation with remainder, Directional derivatives and partial derivatives of a map , Divergence and curl of a vector field). This equivalence is not asserted for discontinuous : the product of with a distributional gradient is not generally defined, while is defined distributionally whenever .
The one-dimensional case is with scalar flux . Whenever the Riemann theory, the Rankine--Hugoniot condition or the characteristic formula below is invoked, is assumed at least (and where or is differentiated); adding a constant vector to does not change the equation because its divergence is zero.
Depends on
- $C^k$ maps and multi-index derivative notation in Euclidean space
- Directional derivatives and partial derivatives of a map $U\subseteq\mathbb{R}^m\to\mathbb{R}^n$
- Divergence and curl of a $C^1$ vector field
- The total (Fréchet) derivative $Df(a)$ as the linear first-order approximation with $o(\|h\|_2)$ remainder
- The space $L^p(\mu)$ as the quotient by null functions
- A locally integrable function on $\mathbb{R}^n$
- 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 $(f \circ g)'(c) = f'(g(c))\,g'(c)$
Used by
- Convex entropy--entropy flux pairs Definition
- Distributional weak solutions of the Cauchy problem Definition
- Piecewise smooth shocks and one-sided traces Definition
- The self-similar Riemann problem Definition
- A planar discontinuity and the space--time normal form of Rankine--Hugoniot Example
- Affine flux reduces the entropy semigroup to translation Example
- Characteristics and the Riccati equation for the spatial derivative Proposition
- Classical solutions are distributional weak solutions, and conversely Proposition
- Distributional weak solutions of the Cauchy problem are not unique Proposition
- The viscous entropy dissipation identity Proposition
- Existence of bounded Kruzhkov entropy solutions Theorem
- The Rankine--Hugoniot jump condition in space--time normal form Theorem
- The Riemann solver for a strictly convex flux Theorem
Dependency tree · two levels
35 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
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)