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Coercivity, monotonicity, conservation, and affine exactness of the mimetic schemes

Statement

Let a finite boundary-anchored cell-face mesh satisfy the face-moment closure in Hybrid mimetic finite-volume diffusion on general meshes, and let every AK be symmetric positive definite. Define the local seminorm ∥v∥K,mim2=∣K∣∣GKv∣2+∑F⊂∂K∣F∣dK,FρK,F(v)2. Its kernel consists exactly of the constant local vectors vK=vF=c, so it induces a norm modulo constants. Then AK(v,v)≥λmin⁡(AK)∥v∥K,mim2. The global Dirichlet matrix of the linear hybrid mimetic scheme is symmetric positive definite and has a unique solution for every finite cell-source vector. Its induced numerical fluxes satisfy the cellwise balance and opposite-flux identity on each interior face. For any affine ℓ(x)=b⋅x+c, the local linear flux is exactly QK,F(ℓ)=−∣F∣(AKb)⋅nK,F. For the nonlinear p-growth extension in Hybrid mimetic finite-volume diffusion on general meshes, the spatial operator is monotone and coercive in the reconstructed gradient and residual variables, and its shared interior face fluxes are conservative at each implicit time step.

Facts & Assumptions

Given: A finite boundary-anchored cell-face mesh, cell and face centroid degrees of freedom, the face-moment closure, positive tensors AK, and the linear hybrid mimetic scheme of Hybrid mimetic finite-volume diffusion on general meshes.

[F1]

Finite-volume cell-face meshes and geometric regularity: cells and faces have positive finite measures, an interior face is shared by exactly two cells, and the cell graph is boundary anchored.

[F2]

Hybrid mimetic finite-volume diffusion on general meshes: GKv=∣K∣−1∑F∣F∣vFnK,F, ρK,F(v)=vF−vK−GKv⋅(xF−xK), and AK is the sum of the tensor-gradient term and the nonnegative residual stabilization.

[A1]

Each AK is symmetric positive definite, so z⋅AKz≥λmin⁡(AK)∣z∣2 for every z∈Rd.

[A2]

In the nonlinear branch, a(x,ξ) has the cellwise growth, coercivity, and monotonicity assumptions in Hybrid mimetic finite-volume diffusion on general meshes, with p>1 and α0,K>0.

Proof

1.1F2givenalgebra

For an affine ℓ(x)=b⋅x+c, the cell and face means are ℓK=ℓ(xK) and ℓF=ℓ(xF). The first face-moment identity annihilates the constant term in GKℓ; the transpose of the second identity is ∑F∣F∣nK,F⊗xF=∣K∣Id, so GKℓ=b. Hence ρK,F(ℓ)=ℓF−ℓK−b⋅(xF−xK)=0.

1.2A1F2algebra

For arbitrary v, [A1] gives ∣K∣(AKGKv)⋅GKv≥λmin⁡(AK)∣K∣∣GKv∣2. The stabilization coefficient is λmin⁡(AK)>0, so summing its squared residual terms gives AK(v,v)≥λmin⁡(AK)∥v∥K,mim2. The displayed seminorm is the Euclidean norm of a linear gradient-residual map with positive weights. It vanishes exactly when GKv=0 and every residual is zero, hence exactly when all local values equal vK; conversely the first face-moment identity makes both gradient and residual vanish on constants.

1.3A2givenalgebra

For the nonlinear flux, the cell average preserves monotonicity because (bK(ξ)−bK(η))⋅(ξ−η)=1∣K∣∫K(a(x,ξ)−a(x,η))⋅(ξ−η) dx≥0. The pointwise bounds in [A2] also give bK(ξ)⋅ξ≥α∣ξ∣p−∣K∣−1∫Kh and ∣bK(ξ)∣≤C(∣K∣−1∫Kg+∣ξ∣p−1). Thus the averaged flux retains monotonicity, coercivity, and p-growth.

2.1F1step 1.2givenalgebra

The global form is symmetric because each AK is symmetric and the residual term is a symmetric product. If its energy at v is zero, step 1.2 forces GKv=0 and every ρK,F(v)=0. The latter then gives vF=vK on every face. Shared face values make all adjacent cell values equal, and a boundary face has prescribed value zero; boundary anchoring propagates this zero to every cell. Thus the homogeneous matrix has trivial kernel. It is square and finite-dimensional, so it is invertible and positive definite; every cell-source vector has a unique solution.

2.2F1F2step 1.1givenalgebra

For an interior face F=K∣L, the global equation tested by its shared face basis function gives AK(u,ϕK,F)+AL(u,ϕL,F)=0, hence QK,F+QL,F=0. For a cell basis ϕK, the equation gives AK(u,ϕK)=∫Kf. The local constant vector 1K=ϕK+∑F⊂∂KϕK,F has zero reconstructed gradient by the first face-moment identity and zero residual; therefore AK(u,1K)=0. Expanding this identity and using the cell equation yields ∑F⊂∂KQK,F=∫Kf.

2.3F2step 1.1givenalgebra

If u is the face and cell averages of an affine ℓ, step 1.1 gives GKu=b and all residuals of u vanish. For the local face basis, GKϕK,F=∣F∣nK,F/∣K∣. Thus AK(u,ϕK,F)=∣F∣(AKb)⋅nK,F, and the definition QK,F=−AK(u,ϕK,F) gives the exact outward diffusive flux.

3.1A2F1F2step 1.3algebra∎

The scalar map ψp(s)=∣s∣p−2s is increasing: it is increasing on each half-line by monotonicity of r↦rp−1 for r≥0, and its values are nonpositive on s≤0 and nonnegative on s≥0. Hence (ψp(r)−ψp(s))(r−s)≥0. For any two states u,v, the difference Ah,K(u;u−v)−Ah,K(v;u−v) is the sum of ∣K∣(bK(GKu)−bK(GKv))⋅(GKu−GKv) and the nonnegative residual terms α0,K∣F∣dK,F1−p(ψp(ρK,F(u))−ψp(ρK,F(v)))(ρK,F(u)−ρK,F(v)). Step 1.3 and scalar monotonicity make every term nonnegative. Testing with v=u and using the coercivity bound in [A2] yields Ah,K(u;u)≥∣K∣(α∣GKu∣p−∣K∣−1∫Kh)+α0,K∑F∣F∣dK,Fp−1∣ρK,F(u)∣p. For a fixed state, the local constant test vector has zero gradient and residual, so the spatial form annihilates it. A shared interior-face test in an implicit step makes QK,Fnl+QL,Fnl=0. Testing the step equation by the cell basis gives Ah,K(un;ϕK)=∣K∣fKn−∣K∣(uKn−uKn−1)/τn. Expanding the zero constant-test identity gives ∑FQK,Fnl=∣K∣fKn−∣K∣(uKn−uKn−1)/τn, the local balance with accumulation.

Remarks

The proposition proves local coercivity in the explicitly defined gradient-residual seminorm (a norm modulo local constants) and affine flux exactness. It does not assert a discrete maximum principle for the mimetic scheme or a mesh-uniform condition number without additional mesh-family estimates.

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