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Periodic FE-HMM with simplicial macro and periodic P1 micro meshes

Definition

This procedure defines a real-arithmetic finite-dimensional FE-HMM discretization. Its output is UH unless an ExactSolve call returns singular-system, in which case that token is returned; Well-posedness of the finite FE-HMM micro solves ↗ proves the exceptional branch is unreachable for the stated inputs. It makes no bit-complexity claim, no coefficient-oracle claim, and no claim about numerically computing its exact integral entries; those entries are the mathematical values of the displayed integrals. Fix Q=(0,1)2 and coefficient a from Uniformly elliptic periodic scalar diffusion data. Use the diagonal of the square from (0,0) to (1,1) as a two-triangle initial matching macro mesh. Label that shared diagonal 0 in both triangles and each exterior edge 1. It is a compatible labeled mesh in the sense of Compatible 2D newest-vertex-bisection meshes. The macro input is any finite admissible descendant triangulation T of this mesh. Its cells are closed affine triangles as in Matching affine simplicial meshes and shape regularity.

Choose ϵ>0, a micro side length δ>0, f∈L2(Q), and a finite matching triangulation M of the unit square whose opposite boundary edges and vertices match under translation by the PDE coordinate vectors e1,e2 of Periodic correctors and effective tensor. The periodic micro space is WM:={z∈V#:z is continuous and affine on every triangle of M}. Here z means an H#1(Y) class with a continuous periodic piecewise-affine representative; the periodic closure condition identifies opposite traces. Thus WM is the finite-dimensional mean-zero subspace of the periodic P1 space, as proved in Well-posedness of the finite FE-HMM micro solves ↗. Let VH be the conforming zero-boundary continuous piecewise-affine macro space on T, using Broken and conforming polynomial spaces on a matching mesh. Its inclusion in H01(Q) is supplied by Continuous matching piecewise polynomials belong to W1p and Zero-boundary conforming polynomials lie in W0 1p and satisfy Poincare.

Identify vertices of M that match under the opposite-edge translations, and order the resulting periodic vertex classes by the lexicographically least representative of each class. Let ϕ1,…,ϕN be the continuous periodic P1 nodal functions for these classes, with ϕi=1 at class i and 0 at the other classes. Set mi=∫Yϕi dy. If N=1, use the empty basis of WM; otherwise use ψi:=ϕi−mim1ϕ1(2≤i≤N) as the ordered basis of WM. The nodal basis spans the full periodic P1 space, and these functions form a basis of its mean-zero subspace.

Use the following exact solver on the systems assembled below. Given a real matrix A∈Rn×n and b∈Rn, ExactSolve(A,b) returns the empty vector if n=0. Otherwise use temporary solver labels 1,…,n, with solver coordinate i corresponding to library coordinate i−1 of Rn (The vector space FX of all functions X→F with pointwise operations, and Fn as the case X=n={0,1,…,n−1}), and form the augmented matrix [A∣b]. For k=1,…,n, choose the least row index p≥k whose current entry in column k is nonzero; if there is no such row, return singular-system. Swap the entire augmented rows p and k. For each i=k+1,…,n, set r=Aik/Akk, replace the entire augmented row i by row i−r rowk, and set its column-k entry to zero. After this loop, compute in order k=n,n−1,…,1 by xk=bk−∑j=k+1nAkjxjAkk, using entries of the resulting upper-triangular augmented matrix. Return the vector x∈Rn whose library coordinate x(k−1) equals xk. All arithmetic and zero tests are exact over R; the systems assembled below are positive definite.

Order macro triangles by lexicographic order of their barycenters. For each such K, use its barycenter xK as the single quadrature point with positive weight ∣K∣, and set bK(y):=a ⁣(xKϵ+δϵy)(y∈Y). The affine change-of-variables theorem A C^1 diffeomorphism satisfies the change-of-variables formula for nonnegative Lebesgue measurable functions makes this a measurable coefficient class independent of the representative of a, with λ≤bK≤Λ almost everywhere. For each PDE coordinate vector ej of Periodic correctors and effective tensor, in order j=1,2, assemble GiℓK:=∫YbK∇ψℓ⋅∇ψi dy,ri,jK:=−∫YbKej⋅∇ψi dy over the micro-basis indices 2≤i,ℓ≤N. If that basis is empty, set wK,jh=0; otherwise call ExactSolve(G^K,r^K_{\cdot,j}), index its returned coordinates by 2,…,N, and set wK,jh=∑ℓ=2Nxℓψℓ. Then set AKhej:=∫YbK(y)(ej+∇ywK,jh(y)) dy. If the micro call returns singular-system, propagate that output; Well-posedness of the finite FE-HMM micro solves ↗ proves this branch is not reached. Otherwise identify solver index i−1 with micro-basis index i for 2≤i≤N and use the returned coefficient as xi in the displayed sum. The singular-system branch is included to make the solver instruction total.

Order the interior vertices of T lexicographically and let φ1,…,φM be the corresponding nodal basis of VH. If M=0, set UH=0. Otherwise assemble Hrs:=∑K∈T∣K∣ ∇φs∣K⋅AKh∇φr∣K,Fr:=∫Qfφr dx, call ExactSolve(H,F). If it returns singular-system, propagate that output; the well-posedness lemma proves this branch is not reached. Otherwise set UH:=∑s=1Mxsφs, with solver index s identified with macro-basis index s. This basis system is exactly the variational system BH(U,V)=∑K∈T∣K∣ ∇U∣K⋅AKh∇V∣K=∫QfV(V∈VH). The macro matrix is positive definite and its singular-system branch is unreachable by Well-posedness of the finite FE-HMM micro solves ↗. Output UH. The centroid quadrature is positive and exact for constants, which is the only quadrature property used in the error theorem.

Interface

The local continuum comparator uses the same coefficient bK on the unit micro cell with the full periodic space V#; it is defined and proved well posed in Well-posedness of the finite FE-HMM micro solves ↗. The period ratio is r=δ/ϵ. No accuracy is asserted for arbitrary r; micro approximation and sampling/resonance are separated in FE-HMM macro, micro, and sampling error separation.

Depends on

Used by

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Sources