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.
One-dimensional stationary convection–diffusion model and uniform P1 space
Definition
Fix an integer , put , and let for . The cells are . For , let be the finite-dimensional affine space of continuous functions on that are affine on each cell and have endpoint values . Write for the homogeneous test and trial vector space; explicitly, with . “P1” means polynomial degree at most one on each interval.
Let , , and . The stationary boundary-value problem is to find such that on , with prescribed endpoint values and . Its dimensionless cell Péclet number is . The stability theorem on this page uses the homogeneous branch ; the general endpoint notation also permits the boundary-layer example.
Used by
- One-dimensional residual SUPG form with the exact cell parameter Definition
- A two-cell SUPG mesh misses the interior shape of an outflow layer Example
- Overlarge streamline stabilization suppresses a two-cell solution Example
- One-dimensional P1 interpolation has an L2 error bound Lemma
- The one-dimensional SUPG parameter is positive and bounded Lemma
- One-dimensional P1 SUPG is consistent and coercive Theorem
- One-dimensional SUPG energy error bound with explicit tau dependence Theorem
Dependency tree · 0 levels
Nothing. This result depends on no other item in the library.
Sources
- Volker John, Numerical Methods for Convection-Dominated Problems, lecture notes, Chapter 5 (standard reference, not scraped)
- Hans Petter Langtangen, INF5620: Numerical Methods for Partial Differential Equations, lecture slides (standard reference, not scraped)