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Finite-volume diffusion on admissible meshes

1 · Prerequisites

2 · Summary

This page defines finite-volume cell-face meshes, isotropic two-point flux approximation (TPFA) on orthogonal center-to-face geometries, and a hybrid mimetic method for anisotropic diffusion on general cells. For positive cellwise-constant coefficients, the harmonic transmissibility is the conductance of the two half-cell resistances. The TPFA balance has a symmetric energy identity, is positive definite when every cell component is anchored to a Dirichlet face, and obeys a discrete minimum principle under nonnegative source and boundary values. A path-certified Poincaré inequality makes the exact geometric condition for a mesh-uniform bound explicit. For smooth piecewise solutions and face-aligned coefficient jumps, the TPFA numerical flux converges in a transmissibility-dual energy norm. The mimetic method is locally coercive, conservative, and affine-exact without center-to-face orthogonality; no maximum principle is claimed for it. On the explicitly defined regular simplicial companion families, the page proves discrete Rellich compactness and identifies physical TPFA weak gradients; the separate face-copy gradient remains an energy bookkeeping device. For the defined monotone p-growth hybrid backward-Euler method, uniformly positive bounded stabilization, the strict Sobolev exponent range, convergent L2 initialization, and vanishing maximum time step give finite-step existence and mesh-uniform energy and time-derivative bounds. Conforming companions and mean test recovery then prove strong computed-state convergence, vanishing weak residuals, the required energy limsup, and Minty identification of both constitutive and reconstructed numerical fluxes. The geometry hypotheses are finite subdivision and vertex-star checks, include uniform cubical refinements in every dimension, and permit skew cells. No mesh/time coupling is imposed. The original conditional limit-identification lemma is retained as a separate general result on bounded open domains; its conforming hypotheses are supplied after the independent computed-scheme convergence proof by an explicitly distinguished limit recovery.

3 · Logical flowchart

4 · Definitions, theorems and proofs

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Finite-volume cell-face meshes and geometric regularity

Definition

Let d≥1 and let Ω⊂Rd be a nonempty bounded connected open polyhedral set, meaning the interior of a finite union of bounded closed convex polytopes. A closed convex polytope is a bounded intersection of finitely many closed half-spaces with nonempty interior. A cell-face mesh T=(K,F) consists of finitely many nonempty cells K=int⁡PK⊂Ω, where each PK is a closed convex polytope, with pairwise disjoint interiors and Ω‾=⋃K∈KK‾, together with the relative interiors of the (d−1)-dimensional faces of their closures. Each interior face F∈Fint is incident to exactly two cells K,L and is denoted F=K∣L; each boundary face F∈Fbdy is incident to one cell and is contained in ∂Ω. In dimension one a face is an endpoint and has measure ∣F∣=1.

Write ∣K∣ for the d-dimensional volume of K, ∣F∣ for the (d−1)-dimensional measure of F, nK,F for the unit normal outward from K, xK for a chosen point in K, and xF for the centroid of F. For every incident pair set dK,F=dist⁡(xK,F)>0. The cell adjacency graph has one vertex for each cell and an edge for each interior face. A mesh is boundary anchored if every cell has a finite path in this graph to a cell incident to a boundary face; such a path can be chosen simple, with no repeated cells.

For a family (Th), put h=max⁡K∈Kdiam⁡K. The family is uniformly regular if there are fixed constants c,C>0 and N0∈N such that, for every mesh and each of its cells and faces, chd≤∣K∣≤Chd,chd−1≤∣F∣≤Chd−1,ch≤dK,F≤Ch, and each cell has at most N0 faces. A family is refining if h→0. These bounds are invoked only where explicitly assumed; a cell-face mesh alone is not asserted to be uniformly regular or orthogonal.

The finite-volume convention is that a face flux QK,F is signed outward from K. If F=K∣L is an interior face, local conservation requires the single shared-flux identity QK,F+QL,F=0. The mesh drawing below labels the center-to-center vector and the outward normal; no orthogonality is part of this general mesh definition.

KLF=KjLxKxLxL¡xKnK;FnL;F

The cell-face mesh definition and the diagram fix only the objects, incidences, normals, and orientation. A two-point flux approximation adds a separate orthogonality condition; the hybrid mimetic method is formulated on the general cell-face geometry specified here.

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Orthogonal TPFA diffusion with harmonic face transmissibility

Definition

Let T=(K,F) be a boundary-anchored mesh as in Finite-volume cell-face meshes and geometric regularity. It is TPFA-admissible if, for each interior face F=K∣L, the center segment [xK,xL] is perpendicular to the supporting hyperplane of F and intersects the relative interior of F at a point yF. Thus the center points lie on opposite sides of that face, and dK,F=∣yF−xK∣, dL,F=∣xL−yF∣, so define dF:=∣xL−xK∣=dK,F+dL,F for every interior face. Each boundary face F⊂∂K∩∂Ω must satisfy xF−xK=dK,FnK,F with dK,F>0; in particular, its face centroid is the normal projection of xK onto the face plane.

Let the scalar diffusion coefficient be constant on each cell, λ∣K=λK, with fixed bounds 0<λ∗≤λK≤λ∗<∞. For each interior face and boundary face define the transmissibilities TF=∣F∣dK,F/λK+dL,F/λL(F=K∣L),TK,F=∣F∣λKdK,F(F⊂∂K∩∂Ω). The interior formula is the conductance of two half-cell resistances in series. Equivalently, with λFharm=dF/(dK,F/λK+dL,F/λL), it is TF=∣F∣λFharm/dF. This is a distance-weighted harmonic mean; it equals the ordinary harmonic mean only when dK,F=dL,F.

For cell values uK and prescribed boundary face values gF, the outward signed flux is QK,F(u)=TF(uK−uL)(F=K∣L),QK,F(u)=TK,F(uK−gF)(F⊂∂Ω). This is a two-point flux approximation (TPFA): an interior face flux uses only the values in its two incident cells, and a boundary face flux uses only its incident cell value and the prescribed boundary value. The finite-volume equations for a cellwise integrable source f are ∑F⊂∂KQK,F(u)=∫Kf(x) dx(K∈K). Thus an interior face uses one flux with opposite signs in its two balances. For homogeneous Dirichlet data define the symmetric energy form and its norm by ah(u,v)=∑F=K∣L∈FintTF(uK−uL)(vK−vL)+∑F∈FbdyTK,FuKvK,∥u∥Eh2=ah(u,u). For each face take a separate copy DF of measure ∣F∣dF on an interior face and ∣F∣dK,F on a boundary face. The reconstructed normal gradient is (uL−uK)nK,F/dF on an interior face (with either fixed orientation) and −uKnK,F/dK,F on a homogeneous boundary face. Give the interior face copy coefficient λFharm and the boundary face copy coefficient λK. Then ∥u∥Eh2 is exactly the weighted L2 norm of this face-copy gradient reconstruction. The copies are bookkeeping spaces; they are not claimed to partition Ω.

xKxLdFQK;FQL;FFK;¸KL;¸L

The drawing uses the outward-from-cell sign convention, so QK,F=−QL,F. Orthogonality is required for the TPFA diffusion flux to approximate the full normal flux with only the two cell values. The definition includes scalar isotropic diffusion only; anisotropic tensors and nonorthogonal meshes require a separately analysed cell-and-face method. Cellwise coefficient jumps are allowed when their interfaces are mesh faces. No universal consistency claim is made for jumps that cut through cells.

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Hybrid mimetic finite-volume diffusion on general meshes

Definition

Let T be a cell-face mesh as in Finite-volume cell-face meshes and geometric regularity, with xK the volume centroid of each cell and xF the face centroid. For the mimetic branch require the following explicit face-moment closure on each cell: ∑F⊂∂K∣F∣nK,F=0,∑F⊂∂K∣F∣xF⊗nK,F=∣K∣Id. Here Id is the identity matrix on Rd and (x⊗n)ij=xinj. These are finite geometric checks on the face data; they impose no center-to-face orthogonality. For every cell use one real cell-mean unknown uK; for every face use one shared real face-mean unknown uF. On a boundary face F⊂∂Ω, the value uF=gF is prescribed. Write nK,F for the outward unit normal. Define the reconstructed cell gradient and its face residual by GKu=1∣K∣∑F⊂∂K∣F∣uFnK,F,ρK,F(u)=uF−uK−GKu⋅(xF−xK). Interpret uK and uF as cell and face averages. For a symmetric positive-definite tensor AK constant on K (so z⋅AKz>0 for every nonzero z), define AK(u,v)=∣K∣(AKGKu)⋅GKv+λmin⁡(AK)∑F⊂∂K∣F∣dK,FρK,F(u)ρK,F(v), where λmin⁡(AK)>0 is the smallest eigenvalue of AK. For f∈L1(Ω), the linear hybrid mimetic scheme with homogeneous Dirichlet data is to find all cell and interior-face values u such that ∑K∈KAK(u,v)=∑K∈KvK∫Kf(x) dx for every test vector v whose boundary face values are zero. For each local face F⊂∂K, let ϕK,F have face value 1 on F, zero on the other faces of K, and cell value zero. Define the outward numerical flux QK,F(u)=−AK(u,ϕK,F).

There is also a monotone p-growth backward-Euler extension, specified as an algebraic scheme but with no existence or convergence claim in this definition. Let 1<p<∞, set p′=p/(p−1), and let a(x,ξ) be a Carathéodory flux, meaning that x↦a(x,ξ) is measurable for each fixed ξ and ξ↦a(x,ξ) is continuous for almost every x. Assume there are constants C,α>0, a nonnegative g∈Lp′(Ω), and a nonnegative h∈L1(Ω) such that, outside one null set, ∣a(x,ξ)∣≤C(g(x)+∣ξ∣p−1),a(x,ξ)⋅ξ≥α∣ξ∣p−h(x),(a(x,ξ)−a(x,η))⋅(ξ−η)≥0. For each cell set bK(ξ)=∣K∣−1∫Ka(x,ξ) dx, and fix α0,K>0. Put ψp(s)=∣s∣p−2s for s≠0 and ψp(0)=0. Its spatial operator, linear in the test vector v, is Ah,K(u;v)=∣K∣bK(GKu)⋅GKv+α0,K∑F⊂∂K∣F∣dK,Fp−1ψp(ρK,F(u))ρK,F(v). For this extension define QK,Fnl(u)=−Ah,K(u;ϕK,F). On a time partition 0=t0<⋯<tN=T, given un−1 and f∈Lp′((0,T)×Ω), put fKn=((tn−tn−1)∣K∣)−1∫tn−1tn∫Kf. The backward-Euler step seeks un with zero boundary face values satisfying ∑K∈K∣K∣uKn−uKn−1tn−tn−1vK+∑K∈KAh,K(un;v)=∑K∈K∣K∣fKnvK for every test vector with zero boundary face values. The formula specifies a candidate discrete method; solvability and convergence require separate results.

For an affine function ℓ(x)=b⋅x+c, its cell and face averages satisfy GKℓ=b and ρK,F(ℓ)=0 by the displayed face-moment closure. The drawing illustrates the cell and face degrees of freedom on a skew cell; no center-to-face orthogonality is assumed.

uKuF1uF2uF3uF4GKu

When p=2, bK(ξ)=AKξ, and α0,K=λmin⁡(AK), the nonlinear formula agrees with the linear form above. Neither specification by itself proves solvability, a conforming W01,p reconstruction, or a mesh-uniform discrete Aubin–Lions estimate; those require separate results or hypotheses.

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Finite-volume families with a regular simplicial companion

Definition

Let Ω⊂Rd be a nonempty bounded connected Lipschitz polyhedral domain, d≥1. A regular simplicial companion family consists of refining uniformly regular boundary-anchored cell-face meshes in Finite-volume cell-face meshes and geometric regularity, and, for each mesh, a matching simplicial subdivision Sh of its cell closures with the following finite geometric data and uniform constants c,C,J>0.

Each cell closure K‾ is the union of at most J closed nondegenerate d-simplices with pairwise disjoint interiors. Each simplex has diameter at most Ch and inradius at least ch, and the chosen cell point xK is a subdivision vertex. The subdivision of each cell closure is a fan from xK over a triangulation of its boundary, and subdivisions agree on shared faces. Each original face closure F‾ is a union of at most J closed subdivision facets. In dimension one these mean the two subintervals from xK to the endpoints.

For each subdivision vertex z, let K(z) consist of the original cells whose closures contain z. This set has at most J elements. For any K,L∈K(z) there is a path of at most J cells in K(z), from K to L, consecutive cells sharing an original face whose closure contains z. If z∈∂Ω, every K∈K(z) has such a path to a cell with a boundary face whose closure contains z. These are connectivity checks on finite vertex stars, not an assumption of an analytic inequality.

For shared face values vF, cell values vK, and homogeneous boundary values vF=0, define the piecewise constant state Πhv∣K=vK and Dh,p(v)p=∑K∑F⊂∂K∣F∣dK,F1−p∣vF−vK∣p(1<p<∞). The mean interpolator Ihv has cell and face values equal to the corresponding means of a Sobolev function, with face means interpreted by the simplex trace; for v∈W01,p(Ω) its boundary face means are zero. Define Ehv to be continuous and affine on each subdivision simplex, with nodal value ∣K(z)∣−1∑K∈K(z)vK at an interior vertex z and zero at a boundary vertex. Thus Eh is an explicit linear function of the cell values; its definition does not assume its stability.

These conditions allow nonorthogonal cells. A nonempty example in every dimension is the uniform cubical partition of (0,1)d, with cell centers, a fixed matching barycentric subdivision of every face, and the cones from cell centers to those face simplices. Scaling leaves finitely many simplex shapes and bounded vertex stars; coordinate adjacency connects each interior star and connects each boundary star to a boundary face. In dimension one use equal subintervals and their midpoints. Hence all the displayed constants can be chosen independently of refinement.

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TPFA discrete Green identity, coercivity, and maximum principle

Statement

Let T be a finite TPFA-admissible cell-face mesh, let every cell be connected through interior faces to a cell with a boundary face, and let TF>0 be the transmissibilities of Orthogonal TPFA diffusion with harmonic face transmissibility. For cell vectors u,v, define (Ahu)K=1∣K∣(∑F=K∣LTF(uK−uL)+∑F⊂∂K∩∂ΩTK,FuK). Then interior fluxes are locally conservative, and for all cell vectors u,v, ∑K∈K∣K∣vK(Ahu)K=∑F=K∣L∈FintTF(vK−vL)(uK−uL)+∑F∈FbdyTK,FvKuK. The stiffness matrix associated with the displayed bilinear identity is symmetric positive definite. Equivalently, Ah is self-adjoint and positive definite in the volume-weighted inner product ⟨u,v⟩h=∑K∣K∣uKvK; its ordinary coordinate matrix need not be symmetric when cell volumes differ. Hence every finite source and boundary-data vector gives a unique solution. If all cell sources and all prescribed boundary face values are nonnegative, then every solution cell value is nonnegative. The maximum-principle claim uses the boundary anchor; no diagonal sign statement alone is used as a substitute for that condition.

Facts & Assumptions

Given: A finite connected cell-face mesh, the positive TPFA transmissibilities, a path from every cell to a boundary face, finite real cell and face vectors, and the cell-balance convention of Orthogonal TPFA diffusion with harmonic face transmissibility.

[F1]

Finite-volume cell-face meshes and geometric regularity: the cell adjacency graph is finite; an interior face belongs to exactly two cells, and a boundary face belongs to one cell.

[F2]

Orthogonal TPFA diffusion with harmonic face transmissibility: TF>0; the two outward fluxes on an interior face are TF(uK−uL) and TF(uL−uK); a homogeneous boundary face contributes TK,FuK to the cell operator.

[A1]

The mesh is boundary anchored: every cell has a finite adjacency path to a cell incident to a Dirichlet boundary face. All cell volumes and transmissibilities are strictly positive.

Proof

1.1F1F2algebra

For an interior face F=K∣L, the shared-flux definitions give QK,F(u)+QL,F(u)=TF(uK−uL)+TF(uL−uK)=0. Thus summing cell balances cancels every interior flux exactly.

1.2F1F2givenalgebra

In ∑K∣K∣vK(Ahu)K, the two terms contributed by an interior face are TF[vK(uK−uL)+vL(uL−uK)]=TF(vK−vL)(uK−uL). A boundary face contributes TK,FvKuK. Summing all faces proves the displayed identity.

2.1A1step 1.2algebra

Set v=u in step 1.2. The resulting stiffness quadratic form is a sum of nonnegative terms. If it is zero, every interior term forces uK=uL, and every boundary term forces uK=0 on its incident cell. The path condition [A1] propagates these zeros through the connected cell graph, so u=0. The finite-dimensional symmetric stiffness matrix therefore has trivial kernel and is positive definite and invertible. Since the volume matrix Mh=diag⁡(∣K∣) is invertible, Ah=Mh−1(MhAh) is also invertible; inhomogeneous boundary values change only the right-hand side.

3.1F1F2A1choosealgebra∎

Suppose u solves the cell balances with fK≥0 and gF≥0. If a cell value has a negative global minimum, choose a minimizing cell K. Every interior summand TF(uK−uL) in its balance is nonpositive, and every boundary summand TK,F(uK−gF) is strictly negative. Since the balance equals ∣K∣fK≥0, all summands must be zero. Thus the minimum propagates unchanged to every adjacent cell along a path from [A1], but at a boundary face the summand TK,F(uK−gF) is strictly negative. This contradiction rules out a negative minimum, so all cell values are nonnegative.

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Discrete Poincaré inequality from boundary paths

Statement

Let T be a finite boundary-anchored TPFA mesh and let Te>0 be its interior and boundary transmissibilities. A boundary path family assigns to each cell K a finite simple path γK of adjacent interior faces, followed by one boundary face of its terminal cell; simple means it visits no cell more than once. Set Δeu=uK−uL on an interior face e=K∣L with a fixed orientation, and set Δeu=uK on a boundary face of K. The sign of an interior increment is reversed when the path traverses the fixed orientation backward. Put SK=∑e∈γKTe−1,Cpath=max⁡e∑K:e∈γK∣K∣SK. Then every cell vector u satisfies the discrete Poincaré inequality ∑K∈K∣K∣uK2≤Cpath∑eTe(Δeu)2=Cpath∥u∥Eh2. Consequently, any uniformly regular mesh family supplied with boundary path families whose Cpath are uniformly bounded has a mesh-uniform Poincaré constant. This theorem does not assert that every orthogonal mesh family has such a uniform path bound.

Facts & Assumptions

Given: A finite cell-face mesh, positive interior and boundary transmissibilities, a specified boundary path from every cell, and the finite value Cpath above.

[F1]

Finite-volume cell-face meshes and geometric regularity: each cell has a finite boundary path in a boundary-anchored mesh, and ∣K∣ is its volume.

[F2]

Orthogonal TPFA diffusion with harmonic face transmissibility: the transmissibility energy is ∥u∥Eh2=∑eTe(Δeu)2, with boundary increment uK because the Dirichlet boundary value is zero.

[A1]

For each cell K, a particular finite path γK is included as data; SK and Cpath are finite.

Proof

1.1F1A1givenalgebra

Fix a cell K. Traverse its supplied path to a boundary face. The signed increments telescope from uK to the terminal boundary value 0, so uK=∑e∈γKϵK,eΔeu, where each ϵK,e∈{−1,1} records the orientation.

2.1F2step 1.1algebra

Weighted Cauchy–Schwarz with weights Te gives ∣uK∣2≤(∑e∈γKTe−1)(∑e∈γKTe(Δeu)2)=SK∑e∈γKTe(Δeu)2.

3.1A1F2step 2.1algebra∎

Multiply step 2.1 by ∣K∣ and sum over all cells. Since the mesh, edge set, and paths are finite, reorder the sums to obtain ∑K∣K∣uK2≤∑eTe(Δeu)2∑K:e∈γK∣K∣SK≤Cpath∑eTe(Δeu)2. The last sum is the energy norm in [F2], proving the assertion.

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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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Finite-volume companions, mean tests and weak-gradient closure

Statement

Assume the Axiom of Choice and a family in Finite-volume families with a regular simplicial companion. For 1<p<∞ and zero boundary face values, put Bh,p(v)p=∑K∣K∣∣GKv∣p+Sh,p(v)p,Sh,p(v)p=∑K,F∣F∣dK,F1−p∣ρK,F(v)∣p, where GK,ρK,F have the formulas in Hybrid mimetic finite-volume diffusion on general meshes. Then, with constants independent of h,v, C−1Dh,p(v)≤Bh,p(v)≤CDh,p(v),∥Ehv∥W1,p≤CDh,p(v),∥Πhv−Ehv∥Lp≤ChDh,p(v). Here Ehv∈W01,p(Ω). If p>max⁡(1,2d/(d+2)) and ϑ=1−dmax⁡(1/p−1/2,0)>0, also ∥Πhv−Ehv∥2≤ChϑDh,p(v),∥Πhv∥2+∥Πhv∥p≤CDh,p(v). For z∈W01,p(Ω), Dh,p(Ihz)≤C∥∇z∥p. If the cell points are volume centroids, then for smooth z with compact support in Ω, GhIhz→∇z uniformly and Sh,p(Ihz)≤Ch∥D2z∥∞, where Ghv∣K=GKv. Finally, for every smooth vector field ϕ on a neighborhood of Ω‾, ∣∫ΩGhv⋅ϕ+Πhv div⁡ϕ∣≤ChDh,p(v)∥∇ϕ∥∞. Consequently bounded Dh,p(vh), strong Lp convergence Πhvh→v, and weak Lp convergence Ghvh⇀g imply g=∇v distributionally. The same statements hold after integration in time with the corresponding Lp bounds.

Facts & Assumptions

Given: AC, the explicit regular companion geometry, 1<p<∞, the mean interpolator and zero boundary cell-face vectors.

[F1]

Finite-volume families with a regular simplicial companion gives ∣K∣≍hd, ∣F∣≍hd−1, dK,F≍h, shape-regular simplex maps, and uniformly bounded vertex-star paths.

[F2]

Sobolev face traces and Gauss–Green on a reference simplex and Poincare–Wirtinger inequality on a reference simplex give the W1,p face trace, Gauss–Green and mean-zero Poincaré inequalities. Affine rescaling gives on a subdivision simplex S and facet e the bounds ∥z∥Lp(e)≤C(h−1/p∥z∥Lp(S)+h1−1/p∥∇z∥Lp(S)) and ∥z−zS∥Lp(S)≤Ch∥∇z∥Lp(S).

[F3]

Hybrid mimetic finite-volume diffusion on general meshes defines GK and ρK,F; its face-moment identities hold for actual polytopes by applying simplex Gauss–Green to constants and coordinate functions and cancelling subdivision facets.

[F4]

The Poincare inequality for zero-boundary Sobolev closures on domains bounded in one direction bounds ∥w∥p by ∥∇w∥p for w∈W01,p; The subcritical W0 one p embedding into L2 gives the continuous W01,p→L2 inclusion on the strict stated branch. Finite-sum and integral Hölder inequalities are Holder's inequality for integrals, including the endpoint cases.

Proof

1.1F1F3F4givenalgebra

Write jK,F=vF−vK. The moment cancellation gives GKv=∣K∣−1∑F∣F∣jK,FnK,F. Hölder, the bounded face count and [F1] imply ∣K∣∣GKv∣p≤C∑Fhd−p∣jK,F∣p. Since ρK,F=jK,F−GKv⋅(xF−xK) and ∣xF−xK∣≤Ch, summing gives Bh,p≤CDh,p. Conversely jK,F=ρK,F+GKv⋅(xF−xK) gives Dh,p≤CBh,p.

1.2F1givenconstructalgebra

If K,L share F, vK−vL=jL,F−jK,F. Along a supplied vertex-star path, the difference between vK and any other incident cell value is a sum of at most 2J such increments. At a boundary vertex the same telescoping ends at a zero boundary face. Hence for every simplex S⊂K‾ and its vertex z, ∣(Ehv)(z)−vK∣p≤C∑(L,F)∈N(K)∣jL,F∣p, where N(K) is the union of the finitely many supplied paths at its vertices. These sets have bounded cardinality and bounded overlap: a cell has at most J(d+1) subdivision vertices and each vertex has at most J incident cells.

1.3F1F2F4algebra

The scaled simplex estimates [F2] first bound the difference between the mean on a simplex and the mean on one of its facets by Ch1−d/p∥∇z∥Lp(S). Means on adjacent simplices differ by the sum of their differences to the shared facet mean, since their traces agree. The fan subdivision is a connected finite union of at most J simplices. Telescoping between their means, and averaging over each original cell or original face, therefore gives ∣(Ihz)F−(Ihz)K∣p≤Chp−d∫K∣∇z∣p. The same trace argument applies to boundary faces; zero-boundary approximation makes their means zero. Multiplication by ∣F∣dK,F1−p≍hd−p and summation proves Dh,p(Ihz)≤C∥∇z∥p.

1.4F1F2F3algebra

For smooth z, Gauss–Green gives GKIhz=∣K∣−1∫K∇z exactly. On each cell Taylor expansion around its centroid and the corresponding face averages show ∣(Ihz)F−(Ihz)K−GKIhz⋅(xF−xK)∣≤Ch2∥D2z∥∞ under the stated centroid hypothesis. Thus for this mean interpolator the residual sum is at most Chp∥D2z∥∞p, because there are O(h−d) cells. Uniform continuity of ∇z gives the asserted gradient consistency.

2.1F1F4step 1.2constructalgebra

Barycentric coordinates on S have absolute value at most one and gradients at most C/h, by the inradius bound. Applying step 1.2 to Ehv−vK gives its pth-power Lp(S) norm at most Chd times the path sum, and its gradient norm at most Chd−p times that sum. Summing with bounded overlap proves ∥Ehv−Πhv∥p≤ChDh,p and ∥∇Ehv∥p≤CDh,p. The continuous piecewise affine function vanishes on all boundary facets. Its zero extension is globally Lipschitz and has compact support: along a segment, the finite simplex pieces and the exterior zero pieces have derivative bounded by the largest simplex gradient and agree at crossings. To verify the zero-boundary closure directly, multiply by max⁡(0,min⁡(1,kdist⁡(x,∂Ω)−1)). The error and its gradient are supported in shrinking boundary layers, and ∣Ehv(x)∣≤Ldist⁡(x,∂Ω) bounds the cutoff-gradient term by 2L on the layer 1/k<dist⁡(x,∂Ω)<2/k. They tend to zero in W1,p by absolute continuity of the integral. Each cutoff is Lipschitz with compact support in Ω and can be mollified inside Ω, producing smooth compactly supported approximants. Thus Ehv∈W01,p, and [F4] proves the full W1,p bound and the Lp state bound.

3.1F1F4step 2.1algebra

For p<2, the same barycentric estimate in L2(S) and ℓ2≤ℓp for the combined finite coefficient list give ∥Ehv−Πhv∥2≤Chd/2(∑K,F∣jK,F∣p)1/p≤Ch1+d/2−d/pDh,p. For p≥2, finite-measure Hölder and step 2.1 give ChDh,p instead. The exponent is positive precisely on the stated strict branch. The continuous embedding [F4] bounds ∥Ehv∥2, proving the state L2 estimate as well.

4.1F1F2F4step 1.1givenalgebra∎

Let ϕK and ϕF denote vector means over cells and faces. Gauss–Green, shared face cancellation and vF=0 on the boundary give exactly ∫Ghv⋅ϕ+Πhvdiv⁡ϕ=∑K,F∣F∣jK,FnK,F⋅(ϕK−ϕF). Since ∣ϕK−ϕF∣≤Ch∥∇ϕ∥∞, Hölder bounds this by ChDh,p(∑K,F∣F∣dK,F)1/p′∥∇ϕ∥∞. The last sum is uniformly bounded by [F1], proving the estimate. Strong and weak convergence pass its left side to ∫g⋅ϕ+vdiv⁡ϕ, which is zero; interior compactly supported tests identify g=∇v. Hölder in time gives the same assertions for space-time bounds.

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TPFA flux-energy convergence for smooth face-aligned interfaces

Statement

Let Ω⊂Rd be a bounded connected polyhedral set and let (Th) be a refining, uniformly regular, boundary-anchored family of TPFA-admissible meshes. Assume λK∈[λ∗,λ∗] with 0<λ∗≤λ∗<∞, constant on each cell, and that coefficient jumps occur only across mesh faces. Suppose u is continuous, vanishes on ∂Ω, and is C2 on each cell closure with the uniform family bound M=sup⁡hmax⁡K∈Kh∥D2u∥L∞(K)<∞. For every interior face F=K∣L fix an orientation and define its exact outward flux from K by JK,F=−∫FλK∇u∣K⋅nK,F. On a boundary face define JK,F by the same formula. Assume the exact fluxes satisfy the cell balances ∑F⊂∂KJK,F=∫Kf and JK,F=−JL,F on every interior face. Let Uh solve the TPFA cell balances with source f and zero boundary values, and let Ihu be the cell-center sample u(xK) with zero boundary face values. Then, for a constant C depending only on Ω, λ∗,λ∗, and the uniform mesh regularity bounds, ∥Uh−Ihu∥Eh≤ChM,(∑F∈Fint∣QK,F(Uh)−JK,F∣2TF+∑F∈Fbdy∣QK,F(Uh)−JK,F∣2TK,F)1/2≤2ChM. The second estimate is convergence of the reconstructed numerical face flux in the transmissibility-dual energy norm. No pointwise operator consistency on arbitrary nonorthogonal meshes or error rate for nonsmooth weak solutions is asserted.

Facts & Assumptions

Given: The exact cell and face geometry, a refining uniformly regular orthogonal mesh family, λ∗≤λK≤λ∗ with mesh-aligned jumps, the piecewise C2 function u, the exact face fluxes and their cell balances, and the TPFA scheme.

[F1]

Finite-volume cell-face meshes and geometric regularity: in a uniformly regular family, cell volumes and face measures scale as hd and hd−1, center-to-face distances scale as h, and the number of faces per cell is uniformly bounded.

[F2]

Orthogonal TPFA diffusion with harmonic face transmissibility: TF=∣F∣/(dK,F/λK+dL,F/λL) on interior faces, TK,F=∣F∣λK/dK,F on boundary faces, and ∥v∥Eh2=∑FTF(ΔFv)2.

[F3]

TPFA discrete Green identity, coercivity, and maximum principle: the TPFA stiffness matrix is symmetric positive definite, and its bilinear form is the face energy in [F2].

[A1]

Each cell restriction of u extends C2 to its closure with Hessian norm at most the family-wide bound M. The exact integrated fluxes are opposite on each interior face, and the exact cell flux balances hold as stated.

Proof

1.1F1F2A1givenalgebra

For each face fix an incident cell K and set δF=QK,F(Ihu)−JK,F. On an interior face F=K∣L, write n=nK,F, let yF be the center-normal crossing point, and put sF=−JK,F/∣F∣. Integrated conservation says that sF is the face mean of both λK∂nuK and λL∂nuL. On each cell closure the Hessian bound gives ∣λK∂nuK(yF)−sF∣≤Cλ∗Mh, and the same bound holds for L. Continuity of u and one-sided normal Taylor expansion therefore give u(xK)=u(yF)−dK,FsF/λK+RK and u(xL)=u(yF)+dL,FsF/λL+RL, with ∣RK∣+∣RL∣≤CMh2. Substitution into the harmonic formula yields QK,F(Ihu)=−∣F∣sF+TF(RK−RL), while JK,F=−∣F∣sF. Since TF≤C∣F∣/h, ∣δF∣≤CM∣F∣h. On a boundary face take sF=−JK,F/∣F∣ and yF=xF. The same face-mean estimate and u(yF)=0 give u(xK)=−dK,FsF/λK+RK, ∣RK∣≤CMh2, and the identical defect bound.

2.1F1F2step 1.1algebra

By uniform regularity, every transmissibility satisfies TF≥c∣F∣/h. There are at most N0 faces per cell, ∣F∣≤Chd−1, and ∣K∣≥chd, so #Kh≤∣Ω∣/(chd) and ∑F∣F∣≤Ch−1. Step 1.1 therefore gives ∑FδF2TF≤CM2h3∑F∣F∣≤CM2h2. Thus the vector of local flux defects has transmissibility-dual norm at most ChM.

3.1A1F3step 2.1algebra

Let e=Uh−Ihu. The exact cell balances in [A1] and the finite-volume balances for Uh imply, for every cell vector v, ah(e,v)=−∑F∈FintδF(vK−vL)−∑F∈FbdyδFvK, because the two exact interior fluxes are oppositely oriented. Take v=e. Weighted Cauchy–Schwarz gives ∥e∥Eh2≤(∑FδF2/TF)1/2∥e∥Eh. If e=0 the first estimate is immediate; otherwise divide by ∥e∥Eh and use step 2.1 to obtain ∥e∥Eh≤ChM. The bilinear identity used here is [F3].

4.1F2step 2.1step 3.1algebra∎

On every face, QK,F(Uh)−QK,F(Ihu) equals TF(eK−eL) for an interior face and TK,FeK for a boundary face. Its transmissibility-dual norm is therefore exactly ∥e∥Eh. By the triangle inequality, the numerical-flux error norm is at most ∥e∥Eh+(∑FδF2/TF)1/2≤2ChM, using steps 2.1 and 3.1. This proves both estimates.

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Discrete TPFA Rellich compactness and physical weak gradients

Statement

Assume the Axiom of Choice. Let TPFA-admissible meshes also form a regular simplicial companion family, with homogeneous Dirichlet data and fixed 0<λ∗≤λK≤λ∗. If cell vectors vh satisfy sup⁡h∥vh∥Eh<∞, there are a subsequence and v∈H01(Ω) such that Πhvh→v strongly in L2(Ω), and the gradients of the conforming companions converge weakly to ∇v in L2.

There is also an explicit physical weak-gradient reconstruction. Let PK,F be the pyramid with vertex xK and base F‾, ignoring its measure-zero boundary. For F=K∣L put DF=PK,F∪PL,F, fix the normal n=nK,F, and define Ghv=dvL−vKdFnon DF. On a boundary pyramid put Ghv=−dvKnK,F/dK,F. These regions partition Ω up to null sets. Along the same subsequence Ghvh⇀∇v in L2(Ω;Rd), and ∥Ghvh∥22=d(∑F=K∣L∣F∣dF∣vL−vK∣2+∑F∈Fbdy∣F∣dK,F∣vK∣2)≤dλ∗∥vh∥Eh2. The dimension factor d is essential. This physical gradient differs from the face-copy bookkeeping gradient in the TPFA Definition; no identification of that separate copy space with Ω is asserted.

Facts & Assumptions

Given: AC, the stated refining meshes, positive coefficient bounds, and energy-bounded zero-boundary cell states.

[F1]

Orthogonal TPFA diffusion with harmonic face transmissibility gives dF=dK,F+dL,F and λ∗≤λFharm≤λ∗, so its energy is uniformly equivalent to the unweighted face energy.

[F2]

Finite-volume companions, mean tests and weak-gradient closure bounds companions in W01,2 and their L2 distance from cell states by ChDh,2. The subcritical W0 one p embedding into L2 gives compactness of H01→L2; reflexive weak subsequences are supplied by Reflexivity of Lp for one less p less infinity and Reflexivity is equivalent to weak subsequential compactness of bounded sequences. The gradient-closed-range argument is also proved in Weak compactness of bounded space-time Sobolev gradients.

[F3]

Finite-volume families with a regular simplicial companion gives convex cells, fans, a uniformly bounded face count and diam⁡K≤h.

[F4]

Under the assumed AC, The ultrafilter lemma, from the Axiom of Choice: every filter extends to an ultrafilter supplies the ultrafilter lemma, AC implies DC implies countable choice supplies DC and Countable Choice, and Hahn-Banach dominated extension theorem for real vector spaces supplies HB. Thus the choice hypotheses of both weak-subsequence suppliers in [F2] are discharged.

Proof

1.1F1givenconstructalgebra

Assign the interior face value vF=(dL,FvK+dK,FvL)/dF and the boundary face value zero. Then vF−vK=dK,F(vL−vK)/dF and vF−vL=−dL,F(vL−vK)/dF. Summing both incident terms gives Dh,2(v)2=∑F=K∣L∣F∣∣vL−vK∣2/dF+∑F∈Fbdy∣F∣∣vK∣2/dK,F. Thus [F1] bounds Dh,2 by λ∗−1/2∥v∥Eh.

2.1F2F4step 1.1given

By [F2], the companions are bounded in H01 and have a subsequence converging strongly in L2. Apply the space-time gradient-compactness lemma in [F2] to these companions as constant-in-time functions on (0,1), with p=2 and H=L2(Ω). It identifies the strong limit as some v∈H01 and gives weak convergence of the companion gradients to ∇v; testing against functions constant in time gives the spatial weak convergence. Their L2 distance from Πhvh tends to zero by h→0 and step 1.1. This proves the claimed strong state convergence and companion-gradient assertion.

2.2F1F3step 1.1algebra

Convexity and the cell point in the interior make each cell the union of its face pyramids with disjoint interiors. Orthogonality makes their volumes ∣PK,F∣=∣F∣dK,F/d, so ∣DF∣=∣F∣dF/d. Multiplying each squared reconstruction value by its physical region volume gives exactly the displayed norm identity, and [F1] proves its bound.

3.1F1F3step 1.1step 2.2algebra

Let ϕ be any smooth vector field on a neighborhood of Ω‾, and write ϕF for its face mean. The face-oriented finite sum ∑F=K∣L∣F∣(vL−vK)nK,F⋅ϕF−∑F∈Fbdy∣F∣vKnK,F⋅ϕF is exactly −∫ΩΠhv div⁡ϕ, by the divergence formula in each cell and face cancellation. Replacing each ϕF by the mean of ϕ over the corresponding diamond or boundary pyramid changes this sum by at most Ch∥∇ϕ∥∞∑F∣F∣∣ΔFv∣. Cauchy–Schwarz bounds that last face sum by Dh,2(v)(∑F∣F∣dF)1/2, taking boundary dF=dK,F. The second factor equals (d∣Ω∣)1/2. By step 2.2 the modified sum is ∫Ghv⋅ϕ. Hence the weak-gradient defect tends to zero.

4.1F2F4step 2.1step 2.2step 3.1∎

The norm bound in step 2.2 and [F2, F4], applied successively to the d scalar L2 coordinates, supply a weakly convergent subsequence of physical gradients. Steps 2.1 and 3.1 identify its distributional limit as ∇v. Smooth compactly supported tests determine the L2 field uniquely, so every weak subsequence on the extracted state subsequence has that limit, giving the asserted weak convergence.

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Conditional monotone finite-volume parabolic limit identification

Statement

Assume the Axiom of Choice. Let Ω⊂Rd be bounded and open, d≥1, let p>max⁡(1,2d/(d+2)), put p′=p/(p−1), V=W01,p(Ω;R) with gradient norm, H=L2(Ω;R), and Q=(0,T)×Ω for T>0. Let a(x,ξ) satisfy the Carathéodory, p-growth, coercivity, and monotonicity hypotheses of Coercive monotone p-growth diffusion fluxes.

For each m, let Pm be a finite measurable partition of Ω into cells of positive measure and let a finite time partition carry cell values. Let Uˉm be the function constant on each resulting space-time cell. Suppose there are conforming reconstructions wm∈Lp(0,T;V) and a function u∈Lp(0,T;V)∩L∞(0,T;H) such that Uˉm→u strongly in Lp(0,T;H),∥Uˉm−wm∥Lp(0,T;H)→0, and sup⁡m∥wm∥Lp(0,T;V)<∞. Write ξm=∇wm and qm=a(x,ξm). Assume, along the same subsequence, qm⇀q in Lp′(Q;Rd) and lim sup⁡m→∞∫Qqm⋅ξm≤∫Qq⋅∇u. Finally, assume f∈Lp′(Q), u0∈H, and the finite-volume weak identities have residuals rm(φ)→0 for every φ∈Cc∞([0,T)×Ω): −∫QUˉm ∂tφ+∫Qqm⋅∇φ−∫Qfφ−∫Ωu0(x)φ(x,0) dx=rm(φ). Then q=a(x,∇u) almost everywhere, and u is a weak evolution solution of ut−div⁡(a(x,∇u))=f with initial trace u(0)=u0, in the sense of Coercive monotone p-growth diffusion fluxes: −∫Qu ∂tφ+∫Qa(x,∇u)⋅∇φ=∫Qfφ+∫Ωu0(x)φ(x,0) dx for every such test function. This is a conditional finite-volume limit-identification result; the reconstruction, residual, compactness, and energy hypotheses are not conclusions of the statement.

Facts & Assumptions

Given: The Axiom of Choice; the domain, exponent, spaces and monotone flux; the finite-volume states and conforming reconstructions; their strong and weak convergence hypotheses; the energy limsup; and the residual weak identities.

[F1]

Banach evolution triples and weak time derivatives: V=W01,p(Ω) embeds densely and continuously into H=L2(Ω) with the stated real-space pairing.

[F2]

Coercive monotone p-growth diffusion fluxes: outside one null set, a(x,⋅) is continuous and monotone, and a(x,ξ) has the stated p-growth.

[F3]

Weak compactness of bounded space-time Sobolev gradients: under the Axiom of Choice, a bounded sequence in Lp(0,T;V) whose images converge strongly in Lp(0,T;H) has a subsequence with weakly convergent space-time gradients, and the strong H limit is the image of the weak V limit.

[F4]

Minty identification for a monotone Carathéodory flux: if ξm⇀ξ in Lp, a(x,ξm)⇀q in Lp′, and lim sup⁡∫a(x,ξm)⋅ξm≤∫q⋅ξ, then q=a(x,ξ) almost everywhere.

[F5]

The Banach evolution-space energy identity and H trace: assuming AC, if z∈Lp(0,T;V)∩L∞(0,T;H) and z′∈Lp′(0,T;V∗), then z has a unique continuous H representative on [0,T].

[F6]

One-dimensional W1,p functions have unique absolutely continuous representatives: assuming AC, a scalar W1,1(0,T) class has an absolutely continuous representative on [0,T] whose increments are integrals of its weak derivative.

[A1]

The Axiom of Choice is assumed for supplier conclusions [F3]–[F6].

[A2]

The finite-volume state reconstruction and conforming reconstruction differ by a term tending to zero in Lp(0,T;H); the discrete weak residual tends to zero on every stated test; and the flux-energy limsup holds.

[A3]

The limit u belongs to L∞(0,T;H), as stated; this is an already available sufficient bound, while the broadened PE12 continuous-trace result does not require it as an extra hypothesis.

Proof

1.1A1A2F1F3given

The strong convergence Uˉm→u and the reconstruction estimate in [A2] imply wm→u strongly in Lp(0,T;H). The sequence is bounded in Lp(0,T;V), so [F3] gives, after subsequence extraction, wm⇀u in Lp(0,T;V) and ξm=∇wm⇀∇u in Lp(Q;Rd).

2.1A2step 1.1givenalgebra

Fix φ∈Cc∞([0,T)×Ω). Strong convergence of Uˉm gives ∫QUˉm∂tφ→∫Qu∂tφ; weak convergence of qm gives ∫Qqm⋅∇φ→∫Qq⋅∇φ. The source and initial terms are fixed, and [A2] gives rm(φ)→0. Passing to the limit in the discrete weak identity therefore yields −∫Qu ∂tφ+∫Qq⋅∇φ=∫Qfφ+∫Ωu0φ(⋅,0).

2.2A1A2F2F4step 1.1given

Step 1.1 gives ξm⇀∇u in Lp, the statement gives qm=a(x,ξm)⇀q in Lp′, and the assumed energy limsup is exactly the remaining hypothesis of [F4]. Thus [F4] implies q=a(x,∇u) almost everywhere.

3.1F1F2step 2.1givenalgebra

For v∈Cc∞(Ω) and θ∈Cc∞(0,T), use φ(t,x)=θ(t)v(x) in step 2.1. The weak identity shows in distributions that u′=g, where ⟨g(t),v⟩=∫Ωf(t,x)v(x) dx−∫Ωq(t,x)⋅∇v(x) dx. By H"older and the Poincar'e norm equivalence in [F2], ∥g(t)∥V∗≤CP∥f(t)∥Lp′(Ω)+∥q(t)∥Lp′(Ω) for almost every t. Thus g∈Lp′(0,T;V∗). The identity extends from smooth v to every v∈V by the defining density of Cc∞(Ω) in W01,p(Ω) and the displayed bound, so it is the distributional derivative from [F1]. Hence u∈Wp(0,T;V).

4.1A1F5A3step 3.1given

By [A1], [A3], step 3.1, and the assumed u∈Lp(0,T;V), the continuous-trace theorem [F5] gives a unique representative u∈C([0,T];H).

5.1A1A3F6step 2.1step 3.1step 4.1givenalgebra

Fix v∈Cc∞(Ω) and θ∈Cc∞([0,T)). The scalar function t↦(u(t),v)H is bounded on (0,T) by [A3], and its distributional derivative t↦⟨u′(t),v⟩ lies in L1(0,T) by step 3.1 and finite T. Thus it belongs to W1,1(0,T), so [A1] and [F6] give an absolutely continuous representative and integration by parts on [0,T]. This representative agrees almost everywhere with the continuous scalar function from step 4.1; since both are continuous, they agree everywhere, including at t=0. Apply step 2.1 to φ=θv and use ⟨u′,v⟩=∫fv−∫q⋅∇v from step 3.1. The bulk terms cancel and leave (u(0)−u0,v)Hθ(0)=0. Choose θ(0)=1. This holds for every smooth compactly supported v, which is dense in H; therefore u(0)=u0 in H.

6.1F2step 3.1step 4.1step 5.1step 2.2algebra∎

By step 3.1 and the definition of the induced operator in [F2], u′+A(u)=f in Lp′(0,T;V∗) after substituting q=a(x,∇u) from step 2.2. Step 4.1 gives the required continuous H representative and step 5.1 gives its initial trace. These are exactly the weak evolution solution conditions of [F2].

Remarks

The conditional assumptions are explicit. In particular, the weak-gradient supplier [F3] requires conforming W01,p reconstructions, and [A3] records the L∞(0,T;H) bound already assumed here; the broadened PE12 chain rule supplies the trace without requiring that bound as an extra premise. This lemma does not establish that a particular hybrid finite-volume scheme supplies these assumptions or the required residual and energy limits.

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Energy and computed-state compactness for hybrid mimetic backward Euler

Statement

Assume the Axiom of Choice. Let hybrid meshes in Hybrid mimetic finite-volume diffusion on general meshes form a regular simplicial companion family, with cell points equal to volume centroids, and let 0<α‾≤α0,K≤α‾<∞ uniformly. Let p>max⁡(1,2d/(d+2)), p′=p/(p−1), and let a have precisely the Carathéodory, growth, coercivity and monotonicity hypotheses of Coercive monotone p-growth diffusion fluxes. Let f∈Lp′(Q), Q=(0,T)×Ω, and let initial cell states obey ΠhUh0→u0 strongly in H=L2(Ω). Each finite backward-Euler step in the hybrid Definition has a solution. Initial face values can be set arbitrarily because only initial cell values occur in the time term.

On arbitrary time partitions with maximum step δh→0, every selection of step solutions satisfies, uniformly in h, max⁡n∥ΠhUhn∥22+∑n∥Πh(Uhn−Uhn−1)∥22+∑nτnBh,p(Uhn)p≤C. Here Bh,p,Dh,p,Sh,p,Gh are as in Finite-volume companions, mean tests and weak-gradient closure. Extend U‾h by Uhn on (tn−1,tn]. The piecewise affine interpolation of ΠhUhn has derivative bounded in Lp′(0,T;V∗), V=W01,p(Ω). There are a subsequence and u∈Lp(0,T;V)∩L∞(0,T;H) such that ΠhU‾h→u in Lr(0,T;H) (1≤r<∞) and in Lp(Q), EhU‾h⇀u in Lp(0,T;V),GhU‾h⇀∇u in Lp(Q;Rd). No mesh/time coupling or time-step ratio restriction is required.

Facts & Assumptions

Given: AC and exactly the geometry, coefficient, data, exponent and initial convergence hypotheses above.

[F1]

Finite-volume companions, mean tests and weak-gradient closure gives Dh,p≍Bh,p, ∥Πhv∥p+∥Πhv∥2≤CBh,p(v), the conforming companion error ChϑBh,p in H, and Dh,p(Ihz)≤C∥z∥V.

[F2]

Hybrid mimetic finite-volume diffusion on general meshes gives the exact discrete equation, averaged flux bK, and stabilization. Coercive monotone p-growth diffusion fluxes supplies the one-null-set growth, coercivity and monotonicity conditions. An outward-pointing finite-dimensional map has a zero gives a zero of a continuous outward-pointing finite-dimensional map.

[F3]

The subcritical W0 one p embedding into L2 gives V⋐H; Compactness of W01,p(Ω)↪Lp(Ω) on bounded open sets also gives V⋐Lp(Ω). Weak compactness of bounded space-time Sobolev gradients gives weak compactness of companions once their H images converge strongly. The finite-projection compactness argument for time sequences is proved in Piecewise-constant discrete Aubin–Lions compactness; its conforming-state hypothesis will be replaced explicitly below by [F1].

[F4]

Holder's inequality for integrals, including the endpoint cases and Dominated convergence supply the integral estimates and continuity of cell averages at a fixed bounded finite-dimensional argument.

Proof

1.1F1F2F4givenconstructalgebra

The quantity Bh,p is a norm on the finite zero-boundary cell-face space: if it vanishes, GK=0 and ρK,F=0, so vK=vF; connectedness and the boundary faces force every value to zero. Coercivity in [F2] and the lower stabilization bound give ∑KAh,K(v;v)≥cBh,p(v)p−∥h0∥1, writing h0 for the flux's coercivity datum. At a fixed step the mass term paired with v is bounded below by −Ch∥ΠhUn−1∥2Bh,p(v), and the source term is at most C∥fn∥p′Bh,p(v) by [F1]. The averaged cell flux is continuous in its finite-dimensional arguments by its growth bound and dominated convergence on bounded argument sets. Thus the equation's coordinate residual is continuous and its pairing with v is positive on every sufficiently large Euclidean sphere, since finite-dimensional norm equivalence and p>1 make the Bh,pp term dominate the linear terms. Brouwer [F2] gives a solution, inductively at every step. No mesh-uniform sphere radius is needed for existence.

2.1F1F2F4step 1.1algebra

Test each step by Un and use 2(a−b)a=a2−b2+(a−b)2 in the volume-weighted cell inner product. Hölder and [F1] bound the source by C∥fn∥p′Bh,p(Un), which is at most (c/2)Bh,p(Un)p+C∥fn∥p′p′: this scalar Young bound follows by maximizing xy−(c/2)yp over y≥0. Multiply by τn and sum to any terminal index. Jensen for the cell/time averages gives ∑nτn∥fn∥p′p′≤∥f∥Lp′(Q)p′. Coercivity contributes at worst T∥h0∥1. The initial norms are bounded by strong initialization, giving all three displayed energy bounds and the Lp bound on Bh,p.

3.1F1F2F4step 2.1algebra

For z∈V, test a time step by Ihz. Because its cell values are the exact cell means, the mass term is exactly ∫ΩDt(ΠhUn)z and the load is exactly ∫Ωfnz. Growth and Hölder give ∣∑KAh,K(Un;Ihz)∣≤C(∥g∥p′+Bh,p(Un)p−1)∥z∥V: the flux term uses ∥GhIhz∥p≤C∥z∥V, and the stabilization term uses its weighted Hölder bound CSh,p(Un)p−1Sh,p(Ihz). Hence ∥DtΠhUn∥V∗≤C(∥fn∥p′+∥g∥p′+Bh,p(Un)p−1). Since (p−1)p′=p, step 2.1 gives the asserted derivative bound for the affine cell-state interpolation.

4.1F1F3F4step 2.1step 3.1chooseconstruct

Fix ε>0. Compactness V⋐H gives a finite-dimensional subspace Z⊂V and its H-orthogonal projection PZ such that ∥(I−PZ)v∥H≤ε∥v∥V for all v∈V: take a finite ε-net of the V unit ball's image and span its centers. By [F1], ∥(I−PZ)ΠhU‾h∥Lp(H)≤C(hϑ+ε). Each coefficient (ΠhUn,z)H, z in a fixed orthonormal basis of Z, is bounded uniformly in n by step 2.1, and its affine interpolant has derivative bounded in Lp′ by step 3.1. Hölder gives its common modulus C∣t−s∣1/p. Finite-grid rounding therefore makes these finitely many coefficients totally bounded in the uniform norm. Their largest nodal jumps are at most Cδh1/p, so the piecewise constant coefficients have the same compactness. The projection remainder tends to zero as first h→0 and then ε↓0. Completeness of Lp(H) and AC extract strong convergence there. This proves compactness for the actual cell states without falsely applying a conforming-state theorem to them.

5.1F1F3step 2.1step 4.1algebra

The companions differ from the cell states by Chϑ in Lp(H) and are bounded in Lp(V). Thus [F3] gives u∈Lp(V) and weak companion convergence. The uniform cell-state L∞(H) bound passes to u by almost-everywhere H convergence along a further subsequence. It upgrades strong Lp(H) convergence to every finite Lr(H): finite-measure Hölder treats r<p, while ∥vh−u∥Lr(H)r≤(2M)r−p∥vh−u∥Lp(H)p treats r≥p. The bounded fields GhU‾h have weak Lp subsequences; the weak-gradient defect in [F1], integrated in time, identifies every such limit as ∇u.

6.1F1F3step 5.1algebra∎

Compactness V⋐Lp and continuous V→H give for each ε>0 an Ehrling estimate ∥z∥p≤ε∥z∥V+Cε∥z∥H. Indeed, if this failed, normalize counterexamples to ∥zj∥p=1, with ∥zj∥V≤1/ε and ∥zj∥H→0. Compactness in Lp gives a limit of norm one, while the H convergence makes that limit zero as a distribution, a contradiction. Apply this estimate to EhU‾h−u, whose Lp(V) norm is bounded and whose Lp(H) norm tends to zero. It tends to zero in Lp(Q) after h→0 and then ε↓0. Its Lp(Q) distance from ΠhU‾h is O(h) by [F1]. This proves the remaining strong convergence. All arguments used only h→0 and δh→0 separately.

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Computed hybrid mimetic states and numerical fluxes converge to monotone diffusion

Statement

Under exactly the hypotheses of Energy and computed-state compactness for hybrid mimetic backward Euler, the computed cell states converge, along a subsequence, to a weak evolution solution u of ut−div⁡(a(x,∇u))=f, u(0)=u0, in the sense of Coercive monotone p-growth diffusion fluxes. In addition to the strong state convergences in that lemma, the actual constitutive fields qh(t,x)=a(x,GKUhn)(t∈(tn−1,tn], x∈K) converge weakly in Lp′(Q) to a(x,∇u), and ∫Qqh⋅GhU‾h⟶∫Qa(x,∇u)⋅∇u,∑nτnSh,p(Uhn)p⟶0. The final cell states converge strongly to u(T) in H.

This includes convergence of a physical reconstruction of the actual numerical face fluxes. Let rK,F=xF−xK, sK,Fn=α0,K∣F∣dK,F1−pψp(ρK,F(Uhn)), bKn=bK(GKUhn), and cKn=∣K∣−1∑FsK,FnrK,F. On the physical pyramid PK,F with vertex xK and base F‾ set qhnum=bKn−cKn+sK,Fn∣F∣nK,F. Then −∣F∣qhnum∣PK,F⋅nK,F=QK,Fnl(Uhn) exactly, qhnum−bh→0 strongly in Lp′(Q), with bh∣K=bKn, and qhnum⇀a(x,∇u) in Lp′(Q). No strong convergence of GhU‾h is inferred from mere monotonicity.

Finally the hypotheses of Conditional monotone finite-volume parabolic limit identification can be supplied on this same subsequence by conforming limit recovery: take wh=u and q~h=a(x,∇wh)=a(x,∇u). These are post-limit conforming functions, distinct from the computed companions EhU‾h, constitutive fields qh, and numerical fluxes qhnum. The computed convergence assertion above is established independently of this recovery observation.

Facts & Assumptions

Given: AC and exactly the mesh, stabilization, time, exponent, flux, data and initialization hypotheses in the energy/compactness lemma.

[F1]

Energy and computed-state compactness for hybrid mimetic backward Euler proves step existence, uniform energy and dual-time-derivative bounds, strong cell-state convergence in Lr(H) for every finite r and in Lp(Q), and weak GhU‾h⇀∇u with u∈Lp(V)∩L∞(H).

[F2]

Finite-volume companions, mean tests and weak-gradient closure gives bounded mean tests, GhIhφ→∇φ uniformly and Sh,p(Ihφ)=O(h) for smooth compactly supported spatial tests. Coercive monotone p-growth diffusion fluxes gives growth and pointwise monotonicity.

[F3]

The Banach evolution-space energy identity and H trace gives a continuous H representative and the exact energy identity for a V-valued limit with derivative in Lp′(V∗). Minty identification for a monotone Carathéodory flux identifies a weak constitutive-field limit from the weak gradients and the flux-energy limsup.

[F4]

Conditional monotone finite-volume parabolic limit identification applies to bounded open domains, conforming reconstructions and its explicitly stated residual/limsup hypotheses. Hölder estimates used below are Holder's inequality for integrals, including the endpoint cases.

[F5]

Reflexivity of Lp for one less p less infinity and Reflexivity is equivalent to weak subsequential compactness of bounded sequences supply weak subsequences of bounded Lr fields for 1<r<∞ under AC (coordinatewise for vector fields).

[F6]

Assuming Countable Choice, Cc∞(Rd+1) is dense in Lp(Rd+1). Extending functions on Q by zero and restricting smooth approximants shows that their restrictions are dense in Lp(Q;Rd), coordinatewise (Cc∞(Rn) is dense in Lp(Rn) for 1≤p<∞). AC supplies Countable Choice by restricting its choice-function assertion to countable families (The Axiom of Choice).

Proof

1.1F1F2F4F5F6givenalgebra

Use [F1] to extract the strong cell-state and weak-gradient subsequence. Growth gives ∥qh∥Lp′(Q)≤C(∥g∥Lp′(Q)+∥GhU‾h∥Lp(Q)p−1), so reflexive weak compactness gives qh⇀q along a further subsequence. The cell averages bh have the same weak limit: for a smooth vector test ϕ, ∫(qh−bh)⋅ϕ=∑n,K∫In×Kqh⋅(ϕ−ϕK), whose absolute value is O(h)∥qh∥p′∥∇xϕ∥∞. The averages are bounded by Jensen, and [F6] extends this identification from smooth tests to all dual tests.

2.1F1F2F4step 1.1algebra

Let φ∈Cc∞([0,T)×Ω). In each step test by Ihφ(tn−1) and sum after multiplying by τn. The gradient part equals ∑n∫In×Ωqh⋅GhIhφ(tn−1), and replacing the last factor by ∇φ(t,x) costs O(h+δh)∥qh∥p′, by smoothness and [F2]. Weighted Hölder bounds the entire stabilization part by C∥Sh,p(U‾h)∥Lpp−1∥Sh,p(Ihφ(tn−1))∥Lp=O(h). Since the test cell values are exact means, discrete summation by parts in the mass term is exact. In fact the summed mass term equals −∫QΠhU‾h∂tφ−∫ΩΠhUh0φ(0) exactly, since φ(T)=0 and the increment φ(tn)−φ(tn−1) equals its time-derivative integral on each interval. The load converges to ∫Qfφ: because its cell/time means pair exactly with a cell/time constant test, replacing that test by φ costs O(h+δh)∥f∥p′. Consequently the actual computed fields satisfy −∫QΠhU‾h∂tφ+∫Qqh⋅∇φ−∫Qfφ−∫Ωu0φ(0)⟶0. Passing to the limit gives the corresponding identity with u,q. This proves vanishing smooth-test residuals directly from the scheme.

3.1F1F3F4step 2.1algebra

The limiting identity gives u′=f+div⁡q∈Lp′(0,T;V∗), since ∣∫fz−q⋅∇z∣≤(CP∥f∥p′+∥q∥p′)∥z∥V. Density of smooth compactly supported functions in V extends the derivative identity to all V tests. Together with [F1], [F3] gives u∈C([0,T];H). Scalar integration by parts in the limiting identity with tests θ(t)z(x) identifies (u(0),z)H=(u0,z)H for every smooth compactly supported z, hence u(0)=u0. Its energy identity before flux identification is 12∥u(T)∥H2−12∥u0∥H2=∫Qfu−∫Qq⋅∇u.

4.1F1F3step 3.1algebra

The affine interpolated scalar pairings (ΠhUh^(t),z)H for z∈V have uniformly bounded Lp′ derivatives and uniform H bounds by [F1]. They are equicontinuous with modulus Cz∣t−s∣1/p, and their distance from the piecewise constant pairings is at most Czδh1/p. Strong time-integrated state convergence identifies their uniform limit as (u(t),z)H; finite-grid compactness followed by uniqueness of this limit justifies taking the uniform limit. At T their values are (ΠhUhNh,z)H. Density of V in H and the uniform terminal bound give ΠhUhNh⇀u(T) in H. In particular ∥u(T)∥H2≤lim inf⁡h∥ΠhUhNh∥H2.

5.1F1F2F3step 1.1step 3.1step 4.1algebra

Testing each step by its own state and summing gives the exact identity 12∥ΠhUhNh∥H2+12∑n∥Πh(Uhn−Uhn−1)∥H2+∫Qqh⋅GhU‾h+∑n,K,Fτnα0,K∣F∣dK,F1−p∣ρK,F(Uhn)∣p=12∥ΠhUh0∥H2+∫QfΠhU‾h. The load equality uses that the state is constant on each space-time cell. Its limit is ∫fu by strong Lp(Q) convergence. The initial norms converge strongly, and all the jump and stabilization terms are nonnegative. Step 4.1 and the energy identity in step 3.1 therefore give lim sup⁡h∫Qqh⋅GhU‾h≤∫Qq⋅∇u. Thus [F3] applies to the actual computed GhU‾h and qh=a(x,GhU‾h), yielding q=a(x,∇u) almost everywhere. Steps 2.1–3.1 now give exactly the claimed weak evolution solution.

6.1F2F3step 4.1step 5.1algebra

Pointwise monotonicity compared with the fixed field ∇u gives 0≤∫Q(qh−a(x,∇u))⋅(GhU‾h−∇u). Expanding and passing through the three weakly linear terms gives lim inf⁡h∫qh⋅GhU‾h≥∫q⋅∇u, because q=a(x,∇u). Together with step 5.1 this proves energy convergence. In the exact discrete identity of step 5.1 the right side converges, the flux term now converges, and the terminal norm has the stated lower bound. Hence the sum of the nonnegative jump and stabilization terms tends to zero, and the terminal norms converge to ∥u(T)∥H. Weak terminal convergence plus convergence of norms in the real Hilbert space gives strong terminal convergence. The lower bound α0,K≥α‾ proves ∑nτnSh,p(Uhn)p→0.

7.1F1F2step 1.1step 6.1algebra

For a local face basis, GKϕK,F=∣F∣nK,F/∣K∣ and ρK,E(ϕK,F)=1E=F−(∣F∣/∣K∣)nK,F⋅rK,E. Substitution into the defined spatial form gives QK,Fnl=−∣F∣(bK−cK)⋅nK,F−sK,F, exactly the stated normal trace of qhnum. Pyramid volumes are ∣F∣dist⁡(xK,aff⁡F)/d≍∣F∣h, by the shape-regular fan geometry. Since dK,F≍h, weighted finite-sum Hölder and the bounded face count give ∫Q∣qhnum−bh∣p′≤C∑n,K,Fτn∣F∣h1−p∣ρK,F(Uhn)∣p≤C∑nτnSh,p(Uhn)p. Indeed the sK,F/∣F∣ term contributes ∣F∣h(h1−p∣ρ∣p−1)p′=∣F∣h1−p∣ρ∣p, and cK=∣K∣−1∑FsK,FrK,F has the same bound after summing its cell volume. Step 6.1 proves strong vanishing of this difference. Step 1.1 gives bh⇀q, so the full numerical reconstruction converges weakly to the asserted physical flux. It need not be continuous across internal pyramid interfaces; the result asserts exactly its physical face normal values and its Lp′ weak convergence.

8.1F1F4step 2.1step 5.1step 6.1step 7.1constructalgebra∎

The weak evolution solution already established above belongs to Lp(V)∩L∞(H). Set wh=u on the extracted sequence and q~h=a(x,∇u). Strong computed-state convergence in [F1] gives ∥ΠhU‾h−wh∥Lp(H)→0. The conforming gradients and recovery fluxes are constant sequences, so their weak convergence and flux-energy limsup are equalities. Define the old lemma's residual using these recovery fluxes. Subtracting the exact weak equation for u leaves just −∫Q(ΠhU‾h−u)∂tφ, which tends to zero. Thus every old conditional hypothesis is fulfilled on the bounded open domain. This is an existential limit recovery, not a claim that the computed companion gradients converge strongly or that its nonlinear flux equals the numerical flux; steps 1.1–7.1 supplied the actual scheme closure first.

5 · Examples, counterexamples and false statements

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