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.
Two-scale structure of bounded H1-zero gradients
Statement
Let , with , and be bounded in . There are a subsequence, , and such that in , in , and Here vector-valued two-scale convergence means componentwise convergence as in Two-scale weak convergence for periodic tests, and denotes product-measurable functions whose -slices lie in almost everywhere and whose squared slice norms are integrable over .
Facts & Assumptions
Given: A bounded sequence in , positive scales , compact inclusion and separability on the cube, two-scale compactness, the periodic Poincare inequality, and Fourier completeness on the torus.
Separable H1-zero space and compact L2 inclusion on a cube: is separable and Hilbert and its bounded sequences have -convergent subsequences.
A bounded sequence in a separable Hilbert space has a weakly convergent subsequence: bounded sequences in a separable Hilbert space have weakly convergent subsequences under Countable Choice.
Two-scale compactness for bounded L2 sequences and Two-scale weak convergence for periodic tests: bounded scalar sequences have two-scale convergent subsequences along positive scales .
Periodic averaging and rescaling bounds on the unit cube: periodic rescalings are uniformly bounded and converge weakly to their cell means.
Zero-mean periodic Sobolev cell space and Mean-zero Poincare inequality on the periodic cell: is the mean-zero periodic closure and its gradient has zero cell mean.
The Fourier basis and Parseval's identity on the finite torus: periodic Fourier characters form a complete orthonormal basis and Parseval holds.
Weak derivative of a locally integrable function: weak derivatives satisfy integration by parts against compactly supported smooth tests.
Tonelli's theorem for nonnegative measurable functions on a sigma-finite product: iterated integrals may be interchanged for the integrable products used below.
Smooth compactly supported functions of an open set are dense in : is dense in , so an function pairing to zero with every such test is zero almost everywhere.
The chain rule for differentials of smooth maps: for smooth and the sampling map , the chain rule differentiates in by .
The Axiom of Countable Choice (): Countable Choice is the only choice axiom used in subsequence and countable-density selections.
Proof
By [F1]–[F2], first extract a subsequence converging weakly in to some , and then a further subsequence converging strongly in to the same . By [F3], extract successive further subsequences on which each of the components of two-scale converges; since there are finitely many components, one subsequence works for all. Write its vector limit as .
For every allowed product test , strong convergence and the uniform sampled-test bound in [F4] show that replacing by in its pairing changes the limit by zero. Weak averaging in [F4], applied to against , then gives limit . Thus the two-scale limit of is the -independent function .
Set . For a smooth compactly supported and constant vector , test gradient convergence componentwise with . Ordinary weak convergence gives . By Cauchy--Schwarz and Tonelli [F8], lies in and pairs to zero with every ; [F9] makes it zero almost everywhere.
Let be a smooth periodic vector field, compactly supported in , with , and put . By [F10], . The field is a valid compactly supported smooth test in the weak-derivative identity [F7], so . Taking limits by componentwise two-scale convergence for the two allowed tests and gives , where the last equality is weak integration by parts. Thus is orthogonal to every such divergence-free field.
For every nonzero and every real , use slow tests and in step 3.1. They are divergence-free in . The resulting pairings show that each real and imaginary component of pairs to zero with every , so [F9] makes it zero almost everywhere. There are countably many and a finite basis of each , so [A1] permits one null set outside which is parallel to for all ; the zero coefficient is zero by step 2.2.
For define and set . The parallel property from step 4.1 gives . Moreover , so Parseval [F6] and Tonelli [F8] give . For almost every , the sum is finite; the partial Fourier sums over are then Cauchy in by Parseval, and their limit belongs to because each partial sum is smooth periodic. The zero coefficient makes this limit mean-zero. Define as the product-space limit of these partial sums. Their -gradients converge there, and the coefficient identity identifies the gradient limit with . Conjugate symmetry makes the limit real, and the integrated estimate gives the stated square-integrable slice norm. Hence with , completing the decomposition.
Depends on
- Two-scale compactness for bounded L2 sequences
- Separable H1-zero space and compact L2 inclusion on a cube
- Two-scale weak convergence for periodic tests
- Periodic averaging and rescaling bounds on the unit cube
- Smooth compactly supported functions of an open set are dense in $L^2$
- The chain rule for differentials of smooth maps
- Weak derivative of a locally integrable function
- Tonelli's theorem for nonnegative measurable functions on a sigma-finite product
- Zero-mean periodic Sobolev cell space
- Mean-zero Poincare inequality on the periodic cell
- The Fourier basis and Parseval's identity on the finite torus
- A bounded sequence in a separable Hilbert space has a weakly convergent subsequence
- The Sobolev space $H^1$ is a Hilbert space
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
Used by
Dependency tree · two levels
83 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)