Alphabeta Math
DefinitionDefinition: Literature-sourcedProof: Not applicablePipeline-generatedjudge pass (gpt-6-luna)
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.

Residual indicators and data oscillation for P1 AFEM

Definition

Assume Countable Choice for the L2 and Sobolev conventions of The Axiom of Countable Choice (ACω).

All functions and data are real-valued. Let Ω⊂R2 be a bounded polygon and let T be a finite conforming matching triangulation by nondegenerate affine triangles, with maximum shape-regularity constant Γ. Write hK=diam⁡K and hE=diam⁡E. Let V(T) be the continuous, piecewise-affine zero-boundary subspace of Broken and conforming polynomial spaces on a matching mesh, which lies in H01(Ω;R) by Continuous matching piecewise polynomials belong to W1p and Zero-boundary conforming polynomials lie in W0 1p and satisfy Poincare. The exact weak model is −Δu+b⋅∇u=f,u∈H01(Ω;R),f∈L2(Ω;R),b∈R2 constant. The weak form is ∫Ω∇u⋅∇v+(b⋅∇u)v dx=∫Ωfv dx for every v∈H01(Ω;R). The case b=0 is the symmetric Laplace model. Given U∈V(T), its cell residual is RK(U)=f∣K−b⋅∇(U∣K); this is f+ΔU−b⋅∇U because ΔU=0 on each cell. For an interior edge E=K+∩K− define the outward flux jump JE(U)=∇U∣K+⋅nK++∇U∣K−⋅nK−, where nK± are the unit outward normals. Set ηK(U)2=hK2∥RK(U)∥L2(K)2+12∑E⊂∂K, E interiorhE∥JE(U)∥L2(E)2, and η(U,S)2=∑K∈SηK(U)2 for S⊂T. The factor 1/2 assigns each interior-edge contribution once globally. Let ΠK0 be the L2(K) projection onto constants. The cell data oscillation is osc⁡K(U)2=hK2∥RK(U)−ΠK0RK(U)∥L2(K)2,osc⁡(U,S)2=∑K∈Sosc⁡K(U)2. Since b⋅∇U is constant on K, this oscillation equals hK2∥f−ΠK0f∥22.

For a separate definitional interface, consider the symmetric diffusion model −div⁡(A∇u)=f, where A is a symmetric uniformly elliptic matrix field in the sense of Uniformly elliptic divergence-form operators and their sesquilinear forms and is Lipschitz on each cell. Its cell residual for a piecewise-affine U is RKA(U)=f+div⁡(A∇U), and its outward conormal-flux jump is the sum of A∇U⋅nK from the two incident cells. Let ΠE0 be the L2(E) projection onto constants. The projected edge term hE∥JEA−ΠE0JEA∥L2(E)2 records nonconstant conormal flux. The reliability, contraction, and complexity results authored here concern A=I only; this extension supplies notation and no coefficient-dependent theorem.

Prerequisite interface

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Dependency tree · two levels

37 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