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Conservative two-point finite-volume schemes for scalar laws
Definition
Let , let be continuous, and let be initial data for in the convention of Scalar conservation laws, fluxes and Cauchy data. For each , choose and with and . Define the uniform cells for and the time levels for .
A continuous consistent numerical flux is a continuous map such that for every . The associated conservative two-point finite-volume scheme starts from the cell averages and uses one shared interface flux at every face. Its explicit update is Each internal face flux enters the two adjacent cell updates with opposite signs; this shared-flux difference is the meaning of conservative here. This definition imposes no CFL condition and no relation between and .
The indexing convention is shown below. Each rectangle is one spatial cell; the arrows indicate the signed numerical flux, with positive sign oriented to the right. The same leaves cell and enters cell .
Remarks
The weak equation is one-dimensional on the full line. Compactly supported space-time tests therefore encounter only finitely many cells and no physical boundary flux. A boundedness or compactness estimate for the scheme is not part of this definition.
Depends on
Used by
- A conservative consistent finite-volume weak limit need not be entropic Counterexample
- A consistent nonmonotone flux selects a nonentropy expansion shock Counterexample
- Godunov numerical flux for Burgers' equation Definition
- Monotone finite-volume scheme and invariant-interval CFL Definition
- Piecewise-constant finite-volume state and face-flux reconstructions Definition
- Godunov finite volumes preserve the Burgers shock speed Example
- Discrete weak identity for a conservative finite-volume update Lemma
- Strong local convergence of consistent finite-volume face fluxes Lemma
- The Burgers Godunov flux is continuous and consistent Lemma
- Conservative finite-volume strong-limit theorem Theorem
Dependency tree · two levels
8 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
- H. De Sterck and P. Ullrich, Introduction to Computational PDEs, Chapter 3, complete chapter, PDF pp. 81–106 (standard reference, not scraped)
- Benjamin Seibold, MIT OpenCourseWare 18.336, Lecture 19: Finite Volume Methods, complete six-page note (standard reference, not scraped)