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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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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Symmetry and uniform ellipticity of the effective tensor
Statement
Under the scalar periodic ellipticity hypotheses of Uniformly elliptic periodic scalar diffusion data, the matrix of Periodic correctors and effective tensor is symmetric and satisfies
Facts & Assumptions
Given: The measurable periodic scalar coefficient satisfies , the mean-zero cell corrector exists uniquely, and periodic gradients have zero cell mean.
Periodic correctors and effective tensor: and is the mean-zero corrector.
Existence and uniqueness of periodic cell correctors: the corrector is linear in and satisfies the cell variational equation.
Mean-zero Poincare inequality on the periodic cell: for periodic functions; in particular .
Uniformly elliptic periodic scalar diffusion data: almost everywhere and .
Proof
Test the corrector equation for with . It gives . Interchanging gives . Thus where the first equality follows from [F1] after adding the zero term with , and the last integral is symmetric in . Hence is symmetric.
Taking in the same identity yields . Since the mean of is by [F3], Cauchy--Schwarz on the unit-measure cell gives . The lower coefficient bound in [F4] proves .
The cell equation makes the minimizer of over . Indeed, for , expansion gives , whose middle term is zero and last term is nonnegative. Taking the competitor gives .
Depends on
Used by
- High contrast destroys contrast-independent conditioning Example
- Layered medium: harmonic normal and arithmetic tangential means Example
- Antisymmetric periodic flux potential Lemma
- Energy identity for FE-HMM micro tensor error Lemma
- Boundary-cutoff corrector estimate for regular periodic data Theorem
- FE-HMM macro, micro, and sampling error separation Theorem
- Periodic scalar Dirichlet homogenization on the unit cube Theorem
Dependency tree · two levels
15 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
- Grégoire Allaire, Introduction to Homogenization Theory, Lecture 1 (standard reference, not scraped)
- Zhongwei Shen, Lectures on Periodic Homogenization of Elliptic Systems (standard reference, not scraped)