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.
Covariant and contravariant Piola maps and H(div)/H(curl) spaces
Definition
Assume Countable Choice. Let , take as in Matching affine simplicial meshes and shape regularity, and let under an affine cell map with . Weak derivatives use the signed test identity of Weak derivative of a locally integrable function. For define where weakly, meaning for every . For , define the weak scalar curl by for every . For , define the weak vector curl by for every . In dimensions set with for and for .
The covariant Piola pushforward of a reference vector field is and the contravariant Piola pushforward is The scalar pullback is . The exact mapping properties, weak differential identities, and oriented trace-moment transformations are established in the corresponding affine Piola theorem below.
Depends on
Used by
Dependency tree · two levels
22 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
- Jean-Luc Guermond, MATH 661 Fall 2025, Chapter 14, “H(div) finite elements” (standard reference, not scraped)
- Jean-Luc Guermond, MATH 661 Fall 2025, Chapters 15–16, “H(curl) finite elements” and “Local interpolation in H(div) and H(curl)” (standard reference, not scraped)
- Joachim Schöberl, Numerical Methods for Partial Differential Equations, Chapter 6 (standard reference, not scraped)