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The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
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The reference-triangle Duffy map has the stated image and Jacobian
Statement
For the map of The reference-triangle Duffy map from a vertex, the image of is . On it has inverse and Jacobian determinant ; the edge maps to .
Facts & Assumptions
Given: The map on the square .
Continuously differentiable maps, local inverses, and local diffeomorphisms: a map on an open Euclidean set is when all components are differentiable with continuous derivative entries; a local inverse is the inverse of a bijective restriction.
The Jacobian determinant of a square-dimensional map is the determinant of its Jacobian matrix: the Jacobian determinant is the determinant of the derivative matrix.
Proof
For an increment , . The linear part has matrix , while the remainder has Euclidean norm ; divided by it tends to zero. Thus this is the total derivative. Its entries are continuous, so the polynomial extension is on by [F2]; its determinant is by [F3].
If , then , so . Conversely, for with , and lie in and map to ; when , and every maps to the vertex. For , the displayed inverse is unique. This proves the image, inverse, and collapsed-edge claims.
Depends on
- The reference-triangle Duffy map from a vertex
- The $p$-norms $\lVert x\rVert_p$ for rational $p \ge 1$, and $\lVert x\rVert_\infty$
- Continuously differentiable maps, local inverses, and local diffeomorphisms
- The Jacobian determinant of a square-dimensional $C^1$ map is the determinant of its Jacobian matrix
Used by
Cited to discharge well-definedness by The reference-triangle Duffy map from a vertex.
Dependency tree · two levels
24 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
- Imperial College London, Numerical quadrature, Finite Element course notes, §1.6 (standard reference, not scraped)