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.
A first-order critical point exposes WENO-JS epsilon scaling
Example
Work in nondimensional coordinates with and reconstruct the face , the interface between cells and . This is a first-order critical point: and . If the WENO-JS parameter is scaled as , the cell-average face state has error , so this branch is fourth order at the face. With the fixed of Fixed-epsilon WENO-JS and WENO-Z face reconstructions are fifth order, the theorem's fifth-order branch applies; with the same , the WENO-Z comparison has error on this polynomial.
Facts & Assumptions
Given: Uniform cells , , target face , the displayed WENO-JS/WENO-Z weights, and .
Finite-volume MUSCL, nodal ENO2 and WENO5 reconstruction conventions: the three cell-average candidates are , the ideal weights are , and the JS and Z weights use the displayed and .
The WENO5 ideal linear weights reproduce quartics at the right face: the ideal linear combination reproduces cubics and each candidate is exact through degree two.
Fixed-epsilon WENO-JS and WENO-Z face reconstructions are fifth order: fifth-order face accuracy is proved for fixed positive ; this does not assert the same order for .
Verification
The five stencil averages, ordered from through with , are . Substitution in the three candidate formulas gives ; the quadratic contributions vanish by [F2].
Substitution of the same averages in the indicator formulas gives exactly , , and . Put and ; then .
Expanding and normalizing gives , where . Since by [F2], and , the reconstructed state is . Thus the face error is not .
By step 3.1 the scaled-epsilon JS state has a nonzero leading error. For WENO-Z, , so and its square has the same leading term for each . That common term cancels on normalization, giving . Since the ideal combination is exactly zero on this cubic, [F2] gives . This establishes the stated scaled-epsilon contrast; the fixed- theorem in [F3] remains a separate branch.
Depends on
Used by
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Sources
- Andrew K. Henrick, Tariq D. Aslam and Joseph M. Powers, Mapped weighted essentially non-oscillatory schemes: Achieving optimal order near critical points (standard reference, not scraped)
- Guang-Shan Jiang and Chi-Wang Shu, Efficient Implementation of Weighted ENO Schemes (standard reference, not scraped)