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.
Cofactor, surface-Jacobian, and normal perturbation bounds
Statement
Let and be orientation-preserving cell-map derivatives with , , and . For every unit reference-facet normal , define the surface Jacobians , , and mapped unit normals and . Then For any regular reference-facet parametrization , the chart Gram-metric factor of Admissible isoparametric curved cells is , pointwise with . Thus is the surface-area factor relative to reference-facet area; it equals the chart factor when the reference chart has unit area factor. The same relation holds for .
Facts & Assumptions
Given: Orientation-preserving invertible matrices with determinant lower bound , operator norm upper bound , derivative gap , and a unit reference normal .
Admissible isoparametric curved cells: for a reference facet chart , the physical surface factor is the square root of the Gram determinant of .
Proof
Each entry of is a signed -minor, hence a polynomial of degree in the entries of . On the bounded matrix ball , its derivative is bounded by a constant depending only on . The mean-value inequality therefore gives .
Let have orthonormal columns spanning the reference facet tangent space, so is orthogonal. The squared Gram-metric surface factor is . The identity and orthogonal covariance of cofactors show is the bottom-right cofactor of , which is exactly . Therefore . For a regular chart write , where is an invertible matrix. Then and . Taking positive square roots gives the stated chart-factor relation, also for .
If are the singular values, the smallest singular value of is . Thus , and the same bound holds for . The reverse triangle inequality and step 1.1 give .
Put and . For nonzero vectors, . The lower bounds from step 2.1 and the cofactor gap from step 1.1 therefore imply . Combining the three estimates proves the result.
Depends on
Used by
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Dependency tree · two levels
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Sources
- Jean-Luc Guermond, MATH 661 Fall 2023, Part III, Chapter 8 (standard reference, not scraped)
- Gerald Dziuk and Charles M. Elliott, Finite element methods for surface PDEs, Acta Numerica 22 (2013) (standard reference, not scraped)