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✓ 8 results · all verified · 6 also independently AI-judged
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Maxwell eigenproblems and compatible vector wave approximation

1 · Prerequisites

2 · Summary

The page formulates the PEC curl-curl eigenproblem on the zero-tangential H(curl⁡) space. The gauge removes the entire curl kernel; the companion shell example exhibits a topology-dependent zero mode. The positive spectrum is treated separately. The spectral theorem uses positive homogeneous scalar ϵ,μ and a shape-regular refining family of matching affine tetrahedra.

Continuous compactness is reduced to the regular decomposition: its regular parts are compact by Rellich, and orthogonality to the full curl kernel controls the gradient remainder. Smooth edge interpolation and finite-kernel projection provide conforming gauge approximants. A local compact-positive operator argument then proves cluster convergence with multiplicity and no nonzero spectral pollution.

The proof uses the commuting cochain projection in this declared form:

H_0(\operatorname{curl};\Omega) \arrow[r,"\operatorname{curl}"] \arrow[d,"\pi_{h,0}^1"'] & H_0(\operatorname{div};\Omega) \arrow[d,"\pi_{h,0}^2"] \\
V_h \arrow[r,"\operatorname{curl}"] & N_{h,0}^2

Here Vh=Nh1∩H0(curl⁡;Ω) and Nh,02=Nh2∩H0(div⁡;Ω), with the homogeneous graph-closure convention. The horizontal maps are the continuous and discrete curl operators. The vertical maps are the separate homogeneous PE09 projection family, which asserts curl⁡πh,01=πh,02curl⁡ and preserves the zero-tangential boundary subspace in degree one. The diagram records that interface; the proof itself uses the stated operator identities and does not rely on a diagram. Continuous regularity, boundary-preserving approximation, and discrete compactness enter as separate local results.

3 · Logical flowchart

4 · Definitions, theorems and proofs

LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-6-luna)Open item page →

Spectral convergence under collectively compact positive approximations

Statement

Assume Countable Choice. Let H be a real Hilbert space. Let T:H→H and Tn:H→H be compact, self-adjoint, nonnegative operators. Assume Tnx→Tx in norm for every x∈H, sup⁡n∥Tn∥<∞, and the family is sequentially collectively compact: for every strictly increasing sequence (nj) and every bounded sequence (xj), the sequence (Tnjxj) has a norm-convergent subsequence. Then:

  1. For every strictly increasing sequence (nj)j≥1 in N, if μj>0 is an eigenvalue of Tnj and μj→μ>0, then μ is an eigenvalue of T. Thus no positive spectral limit is spurious.
  2. If μ>0 is an isolated eigenvalue of T with multiplicity m=dim⁡ker⁡(T−μI), then for all sufficiently large n the open interval I=(μ−δ,μ+δ), chosen so that μ−δ>0 and I‾∩σ(T)={μ}, contains exactly m eigenvalues of Tn, counted with multiplicity. Their distance to μ tends to zero, and the associated eigenspaces converge to ker⁡(T−μI) in symmetric H-gap.

Here σ(T) denotes the spectrum, and the symmetric gap between finite-dimensional subspaces E,F is max⁡{sup⁡x∈E, ∥x∥=1dist⁡(x,F), sup⁡y∈F, ∥y∥=1dist⁡(y,E)}.

Facts & Assumptions

Given: Countable Choice; a real Hilbert space H; compact nonnegative self-adjoint operators T,Tn satisfying the strong-convergence, uniform operator-bound and sequential collective-compactness hypotheses.

[A1]

Countable Choice is assumed in the compact self-adjoint spectral theorem and selects the eigenvectors and cluster vectors used in the sequential contradictions below. (The Axiom of Countable Choice (ACω))

[F1]

A compact self-adjoint operator has finite-dimensional eigenspaces for nonzero eigenvalues, and its nonzero spectral subspace is the orthogonal sum of those eigenspaces; for every ε>0, only finitely many nonzero eigenvalues have absolute value at least ε. (Spectral theorem for compact self adjoint operators)

[F2]

A linear map from an m-dimensional space to a space of dimension less than m has a nonzero kernel. (Rank-nullity: dim⁡FV=nullity⁡T+rank⁡T)

[F3]

A closed subspace of a Hilbert space has an orthogonal projection, and the distance to it is the norm of the orthogonal residual. (Orthogonal decomposition by a closed subspace)

[F4]

Every bounded real sequence has a convergent subsequence. (Bolzano-Weierstrass: every bounded real sequence has a convergent subsequence)

Proof

Given: The data in the statement, an isolated positive eigenvalue μ of T, and a closed interval I‾⊂(0,∞) containing no point of σ(T) other than μ.

1.1A1givenchoosealgebra

Let n1<n2<⋯ and let μj>0 be eigenvalues of Tnj converging to ν>0, and choose unit eigenvectors xj with Tnjxj=μjxj. Sequential collective compactness gives a subsequence for which Tnjxj→y. Since μj→ν>0, xj→x:=y/ν and ∥x∥=1. The uniform operator bound gives ∥Tnj(xj−x)∥≤(sup⁡n∥Tn∥)∥xj−x∥→0; strong convergence gives Tnjx→Tx. Hence Tx=y=νx, so ν is an eigenvalue of T.

1.2F1givenchoose

By [F1], E:=ker⁡(T−μI) is finite-dimensional; write m=dim⁡E. Choose δ>0 so that I=(μ−δ,μ+δ) has μ−δ>0 and I‾∩σ(T)={μ}. Let En be the orthogonal sum of the eigenspaces of Tn whose eigenvalues lie in I. This sum is finite-dimensional because [F1] permits only finitely many eigenvalues outside a neighborhood of zero, and I stays away from zero.

2.1A1F1F2givenstep 1.2algebra

If dim⁡En<m for infinitely many n, the orthogonal projection Pn:H→En restricts to a linear map from E to a space of dimension less than m. By [F2] choose a unit xn∈E with Pnxn=0. The compact self-adjoint spectral expansion of Tn then gives ∥(Tn−μI)xn∥≥δ, since every spectral value in the orthogonal complement of En is at distance at least δ from μ. Strong convergence is uniform on the finite-dimensional unit sphere of E: for an orthonormal basis e1,…,em, write x=∑iciei and bound ∥(Tn−T)x∥≤∑i∣ci∣∥(Tn−T)ei∥. Since Txn=μxn, this uniform convergence contradicts the lower bound. Therefore dim⁡En≥m for all sufficiently large n.

3.1A1F1F4step 1.1step 2.1algebra

If dim⁡En≥m+1 for infinitely many n, select m+1 orthonormal eigenvectors xn,1,…,xn,m+1 in En. Apply [F4] successively to these finitely many eigenvalue sequences to obtain one subsequence on which all converge in I‾. By step 1.1 every such limit is in σ(T), hence equals μ. Sequential collective compactness, applied successively to the finite list of sequences Tnxn,i, gives a subsequence on which all these images converge. Their eigenvalues stay bounded away from zero, so all xn,i converge in norm. Their limits remain orthonormal and, by step 1.1, lie in E, contradicting dim⁡E=m. Thus dim⁡En≤m for all sufficiently large n, and together with step 2.1 the dimension equals m.

4.1A1F4givenstep 1.1step 3.1algebra

The eigenvalues of Tn in I all converge to μ: otherwise a subsequence stays a positive distance from μ and has a convergent subsequence in I‾ by [F4]; step 1.1 makes its limit a spectral point of T, while I‾∩σ(T)={μ}. Let En continue to denote the m-dimensional cluster subspace. If unit vectors xn∈En had dist⁡(xn,E)≥ε>0, the convergence just proved would give ∥(Tn−μI)xn∥→0. Collective compactness yields a subsequence with Tnxn convergent; then xn converges to a unit x and the argument of step 1.1 gives Tx=μx, contradicting the distance bound. Thus sup⁡x∈En,∥x∥=1dist⁡(x,E)→0.

5.1F1F3givenstep 4.1algebra∎

For x∈E, let Pn be the orthogonal projection onto En. On En⊥, the spectrum of Tn stays at distance at least δ from μ. The spectral expansion therefore gives ∥x−Pnx∥≤δ−1∥(Tn−μI)x∥. Strong convergence of Tn to T is uniform on the finite-dimensional space E, and Tx=μx there, so the right side tends uniformly to zero for unit x∈E. Hence sup⁡x∈E,∥x∥=1dist⁡(x,En)→0. Combined with the directed-gap limit proved in step 4.1, this is symmetric-gap convergence. The multiplicity and no-pollution conclusions follow.

Source notes

Boffi's complete course notes develop compact solution operators, absence of spurious modes, full multiplicity and eigenspace-gap convergence in the general Galerkin setting (slides 102–108). This carrier proves the self-adjoint positive operator version locally; the source does not replace that argument.

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Weak graph limits preserve zero tangential H(curl)

Statement

Assume Countable Choice. Let Ω⊂R3 be a bounded open set. Suppose un∈H0(curl⁡;Ω), un→u strongly in L2(Ω;R3), and sup⁡n∥curl⁡un∥2<∞. Then a subsequence of the curls converges weakly in L2 to curl⁡u, the limit u belongs to H(curl⁡;Ω), and in fact u∈H0(curl⁡;Ω).

Facts & Assumptions

Given: Countable Choice; the bounded open set Ω; the distributional graph-space definition; and the sequence in the statement.

[A1]

Countable Choice is the stated hypothesis of the weak-subsequence supplier. (The Axiom of Countable Choice (ACω))

[F1]

L2(Ω;R3) is a separable real Hilbert space: the scalar L2 space on a bounded measurable set is separable and Hilbert, and a finite product of separable Hilbert spaces is separable and Hilbert. (L2 controls on a bounded spatial region form a separable Hilbert space, L2 with the integral pairing is a Hilbert space)

[F2]

Every bounded sequence in a separable real Hilbert space has a weakly convergent subsequence. (A bounded sequence in a separable Hilbert space has a weakly convergent subsequence)

[F3]

The distributional curl is characterized by ∫Ωcurl⁡v⋅φ dx=∫Ωv⋅curl⁡φ dx for every compactly supported smooth test vector field φ. (The real H(curl) graph space on a polyhedron)

[F4]

H0(curl⁡) is a norm-closed linear subspace of the H(curl⁡) graph Hilbert space, by its closure definition; a closed subspace of a Hilbert space is the orthogonal complement of its orthogonal complement. (Zero tangential trace H(curl) space, Orthogonal decomposition by a closed subspace)

Proof

Given: The sequence and assumptions in the statement.

1.1F1F3givenalgebra

The graph of distributional curl is closed in L2(Ω;R3)×L2(Ω;R3): if vj→v and curl⁡vj→w in L2, [F3] gives ∫Ωw⋅φ dx=∫Ωv⋅curl⁡φ dx for each test φ, so curl⁡v=w. By [F1] the product is Hilbert, hence its closed graph is Hilbert with the graph inner product. Thus H(curl⁡;Ω) is a Hilbert space.

1.2A1F1F2F3step 1.1choose

The curls are bounded in the separable Hilbert space of [F1]. By [F2] choose a subsequence, still indexed by n, with curl⁡un⇀w weakly in L2. For every test φ, strong convergence of un and [F3] give ∫Ωw⋅φ dx=lim⁡n∫Ωcurl⁡un⋅φ dx=lim⁡n∫Ωun⋅curl⁡φ dx=∫Ωu⋅curl⁡φ dx. Therefore curl⁡u=w distributionally and u∈H(curl⁡).

2.1F4step 1.2algebra∎

The strong convergence of un and weak convergence of their curls show that un⇀u in the graph Hilbert space: for every v∈H(curl⁡), ⟨un,v⟩H(curl⁡)=(un,v)L2+(curl⁡un,curl⁡v)L2⟶(u,v)L2+(w,curl⁡v)L2=⟨u,v⟩H(curl⁡). For every y∈H0(curl⁡)⊥, each ⟨un,y⟩H(curl⁡)=0; weak convergence gives ⟨u,y⟩H(curl⁡)=0. By [F4], u∈(H0(curl⁡)⊥)⊥=H0(curl⁡).

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PEC Maxwell cavity eigenproblem and full-kernel gauge

Definition

Let Ω⊂R3 be a bounded connected open set whose boundary is locally the graph of a Lipschitz function (a bounded Lipschitz domain). The zero-tangential boundary condition is the perfect-electric- conductor (PEC) condition. We use PEC to name the closure convention below; for a smooth field this is the usual condition n×u=0 on the boundary. Its space is V:=H0(curl⁡;Ω), with the graph norm and closure convention of The real H(curl) graph space on a polyhedron and Zero tangential trace H(curl) space. For a positive constant permittivity ϵ and a positive constant permeability μ, write (u,v)ϵ:=ϵ∫Ωu⋅v dx,K:={u∈V:curl⁡u=0},X:=V∩K⊥ϵ. Thus X removes the entire PEC curl kernel, without identifying that kernel with a scalar gradient range.

For a bounded polyhedral subcase with a finite matching affine tetrahedral mesh Th as in Matching affine simplicial meshes and shape regularity, let Vh:=Nh1∩V,Kh:={vh∈Vh:curl⁡vh=0},Xh:=Vh∩Kh⊥ϵ, where Nh1 is the lowest-order first-family edge space of Lowest-order Whitney and Nedelec de Rham spaces. The notation for Kh and the L2 quotient gauge follows Kernel quotient and gauge for discrete curl-curl, restricted to this PEC subspace. The continuous PEC eigenproblem is to find λ>0 and 0≠u∈X such that μ−1(curl⁡u,curl⁡v)L2=λ(u,v)ϵ(v∈X). The discrete problem replaces X by Xh and tests against every vh∈Xh. The unquotiented PEC pencil on V is to find λ≥0 and 0≠u∈V such that the same weak equation holds for every v∈V. The positive constants are homogeneous scalar coefficients. The coefficient extensions to variable or tensor-valued media require their own weighted compactness hypotheses and are not inferred from the unweighted PE09 discrete-compactness interface.

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The unquotiented zero eigenspace is the PEC curl kernel

Statement

Let V, K, and the unquotiented PEC curl-curl pencil be as in PEC Maxwell cavity eigenproblem and full-kernel gauge, with constant μ>0. For u∈V, the weak eigenrelation at eigenvalue 0 holds for every v∈V if and only if u∈K. Thus the zero eigenspace is exactly the full PEC curl kernel.

Facts & Assumptions

Given: the space V=H0(curl⁡;Ω), its curl kernel K, the unquotiented weak eigenrelation, and μ>0.

[F1]

At eigenvalue 0, the unquotiented relation is μ−1(curl⁡u,curl⁡v)L2=0 for all v∈V, and K={u∈V:curl⁡u=0}. (PEC Maxwell cavity eigenproblem and full-kernel gauge)

Proof

Given: u∈V and the weak eigenrelation at eigenvalue 0.

1.1F1givenalgebra

Set v=u in [F1]. Then μ−1∥curl⁡u∥L22=0. Since μ>0, the squared norm vanishes and curl⁡u=0, so u∈K by [F1].

2.1F1givenalgebra∎

Conversely, if u∈K, then [F1] gives curl⁡u=0. Hence μ−1(curl⁡u,curl⁡v)L2=0 for every v∈V, which is precisely the unquotiented eigenrelation at λ=0. The two inclusions identify the zero eigenspace with K.

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The PEC full-kernel gauge is infinite-dimensional

Statement

Let Ω⊂R3 be any nonempty open set, let V=H0(curl⁡;Ω), let K={u∈V:curl⁡u=0}, and put X=V∩K⊥ using the L2 inner product. Then X is infinite-dimensional.

Facts & Assumptions

Given: a nonempty open Ω⊂R3, the distributional curl convention, and a ball Br(x0)⊂Ω.

[F1]

A nonempty open subset of Euclidean space contains a nondegenerate ball.

[F2]

For every pair 0<ρ<R there is a smooth bump equal to one on the smaller closed ball and supported in the larger ball. (A smooth bump between concentric Euclidean balls)

[F3]

For k∈H(curl⁡), ∫Ωk⋅curl⁡A dx=∫Ωcurl⁡k⋅A dx for every A∈Cc∞(Ω;R3), by the distributional definition. (The real H(curl) graph space on a polyhedron)

Proof

Given: the nonempty open set, a ball Br(x0)⊂Ω, and the full-kernel gauge X.

1.1F1F2givenchooseconstruct

For j≥1, set cj=x0+r(1−2−j)e1 and rj=r2−j−4. The balls Bj=Brj(cj) lie in Br(x0): ∣cj−x0∣+rj=r(1−15⋅2−j−4)<r. If l>j, ∣cl−cj∣=r(2−j−2−l)≥r2−j−1, while rj+rl≤3r2−j−5<r2−j−1, so these balls are pairwise disjoint. By [F2], choose ρ∈Cc∞(B1(0)) equal to one near the origin. Set ψ(ξ)=ξ1ρ(ξ), so ∂1ψ(0)=1, and put ψj(x)=ψ((x−cj)/rj) and Aj=(0,0,ψj). Then vj:=curl⁡Aj=(∂2ψj,−∂1ψj,0) is a nonzero smooth vector field supported in Bj.

2.1F3step 1.1algebra∎

Each vj has compact support in Ω, hence vj∈V. For every k∈K, [F3] gives (vj,k)L2=∫Ωk⋅curl⁡Aj dx=∫Ωcurl⁡k⋅Aj dx=0. Thus vj∈X. Pairwise disjoint supports and vj≠0 imply linear independence: restricting any finite vanishing linear combination to Bj forces its jth coefficient to be zero. The gauge space therefore contains infinitely many linearly independent vectors and is infinite-dimensional.

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Smooth fields are approximated by the lowest-order edge family

Statement

Assume Countable Choice. Let Ω⊂R3 be a bounded Lipschitz polyhedron with a shape-regular refining family of matching affine tetrahedral meshes Th, with maximum cell diameter h→0. For every w∈Cc∞(Ω;R3), the canonical lowest-order Nedelec edge interpolant Ihw, defined by its six oriented edge circulations on each tetrahedron, is well-defined. For all sufficiently small h it belongs to H0(curl⁡;Ω), and ∥Ihw−w∥H(curl⁡;Ω)⟶0. The edge moments are applied only to smooth fields here; this statement does not extend them to arbitrary H(curl⁡) inputs.

Facts & Assumptions

Given: Countable Choice; the domain and mesh family; a compactly supported smooth vector field w; and the lowest-order local edge shape functions.

[A1]

Countable Choice is assumed by the imported L2 approximate-identity convergence theorem. (The Axiom of Countable Choice (ACω))

[F1]

On an affine tetrahedron the six edge shape functions span the local first-family Nedelec space. If K is the image of the reference tetrahedron under x=BKx^+b, then ∇λi=BK−T∇λ^i. Shape regularity gives ∥BK−1∥≤ChK−1 and ∣K∣1/2≤ChK3/2, so each Whitney basis field has L2(K) norm at most ChK1/2. (Lowest-order Whitney and Nedelec de Rham spaces, Matching affine simplicial meshes and shape regularity)

[F2]

The six oriented edge circulations are unisolvent, so prescribed edge moments determine a unique local field. (Lowest-order Nedelec edge circulation unisolvence)

[F3]

Matching edge moments assemble a global H(curl⁡) edge field, and Stokes gives the face-flux identity for its curl. The supplier's proof establishes these statements for the stated smooth inputs. (Whitney edge, face, and cell moments commute with grad, curl, and div)

[F4]

Every L1 approximate identity on R3 converges strongly on L2 inputs; this applies separately to a compactly supported field and its distributional curl. (Every L1 approximate identity converges to the identity in Lp for 1≤p<∞, An L1 approximate identity on Rn)

[F5]

For 0<r<R, a smooth function ρ:R3→[0,1] can equal one on B‾r(0) and have support in BR(0). (A smooth bump between concentric Euclidean balls)

[F6]

Every Euclidean ball in R3 has positive finite Lebesgue measure. (Euclidean balls have positive finite Lebesgue measure)

[F7]

Distributional derivatives commute with convolution against a compactly supported smooth kernel. (Distributional derivatives commute with test-function convolution)

[F8]

Convolution with a compactly supported smooth unit-mass kernel is smooth. (Convolution with a mollifier is smooth, and derivatives pass under the integral sign)

Proof

Given: Countable Choice; a shape-regular matching tetrahedral family; and w∈Cc∞(Ω;R3).

1.1F1F2givenconstruct

On each cell K, [F2] defines the local interpolant IKw by its six edge moments. To verify constants belong to the local space, write ϕij=λi∇λj−λj∇λi with ϕji=−ϕij. Then ∑j≠iϕij=−∇λi because ∑jλj=1. For each coordinate ℓ, the barycentric identity xℓ=∑i(xi)ℓλi gives eℓ=∇xℓ=∑i(xi)ℓ∇λi, so every constant vector lies in the local span. Unisolvence [F2] then makes IK reproduce constants. Fix xK∈K and put rK(x)=w(x)−w(xK). Then ∥rK∥L∞(K)≤hK∥Dw∥L∞(K), so every edge moment of rK has absolute value at most hK2∥Dw∥L∞(K). By [F1], summing the six moment coefficients against their basis functions gives ∥IKrK∥L2(K)≤ChK5/2∥Dw∥L∞(K) and ∥rK∥L2(K)≤ChK5/2∥Dw∥L∞(K). Consequently ∥IKw−w∥L2(K)≤ChK5/2∥Dw∥L∞(K).

1.2A1F3F4F5F6F7F8givenconstruct

By [F3] the local fields assemble to a global H(curl⁡) field. If w=0, then Ihw=0∈H0(curl⁡;Ω). Otherwise let d=dist⁡(supp⁡w,∂Ω)>0 and take h<d/2. Any cell with a nonzero edge moment lies within distance h of supp⁡w, so the assembled interpolant has compact support in Ω. Its zero extension U is in H(curl⁡;R3): cellwise integration by parts cancels the interior face terms by [F3], and there is no boundary jump because U vanishes near ∂Ω. Choose ρ as in [F5] with r=1/2 and R=1, and put c=(∫R3ρ)−1. Then 0<c<∞ by [F6]. For η>0, set κη(x)=cη−3ρ(x/η). This family is nonnegative, has unit integral and L1 norm one, and is supported in Bη(0); hence it is an L1 approximate identity by An L1 approximate identity on Rn. Take ηj=(d−h)/(j+2), so ηj<d−h and ηj→0. By [F8], κηj∗U is smooth. The support of U lies within distance h of supp⁡w, so dist⁡(supp⁡U,∂Ω)≥d−h. Since supp⁡κηj⊂Bηj(0), the convolution vanishes when dist⁡(x,supp⁡U)>ηj; its support is therefore in the closed ηj-neighborhood of supp⁡U, which is compactly contained in Ω because ηj<d−h. Thus it is in Cc∞(Ω;R3). By [F7], its curl is κηj∗(curl⁡U). The approximate-identity convergence [F4] applied to both U and curl⁡U gives convergence in the H(curl⁡) graph norm. Thus Ihw∈H0(curl⁡;Ω) by the closure definition.

2.1F1F3step 1.1algebra

By [F1], curl⁡IKw is a constant vector cK on K. For each oriented face F⊂∂K, [F3] and the defining edge moments give ∫FcK⋅nF dS=∫Fcurl⁡w⋅nF dS. With c0=curl⁡w(xK), smoothness bounds the difference between the right side and ∣F∣c0⋅nF by ∣F∣hK∥D(curl⁡w)∥L∞(K). Three face normals span R3. More precisely, choose three reference faces whose unit normals form a basis. Their physical normals are normalized cofactor images under BK−T; shape regularity bounds the condition number of BK/hK, so the inverse of this three-normal matrix is uniformly bounded. Hence ∣cK−c0∣≤ChK∥D(curl⁡w)∥L∞(K) and ∥curl⁡IKw−curl⁡w∥L2(K)≤ChK5/2∥D(curl⁡w)∥L∞(K).

3.1step 1.1step 2.1algebra∎

Shape regularity gives ∣K∣≥chK3, so ∑KhK5≤h2∑KhK3≤Ch2∣Ω∣. Squaring the local bounds in steps 1.1 and 2.1, summing over the mesh, and taking square roots gives ∥Ihw−w∥H(curl⁡;Ω)≤Cwh⟶0. The constant depends on the fixed smooth field, the domain and the mesh shape-regularity bound, but not on h.

Source notes

Chen uses the oriented edge-circulation interpolation and Stokes identity. The local estimate above derives the affine scaling and global H(curl⁡) convergence for fixed smooth compactly supported inputs; it never applies an edge moment to a general graph-space field.

LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-6-luna)Open item page →

Compact embedding and curl Poincare inequality for the continuous PEC quotient

Statement

Assume the Axiom of Choice, Countable Choice and Dependent Choice. Let Ω⊂R3 be a bounded contractible Lipschitz polyhedron with connected boundary, and let X be the full-kernel orthogonal gauge of PEC Maxwell cavity eigenproblem and full-kernel gauge. Every sequence in X bounded in H(curl⁡;Ω) has a subsequence converging strongly in L2(Ω;R3). Equivalently, the inclusion of X, with its H(curl⁡) graph norm, into L2 is compact. Moreover there is a constant CΩ such that ∥u∥L2(Ω)≤CΩ∥curl⁡u∥L2(Ω)(u∈X). Thus the curl form is coercive on X in its H(curl⁡) graph norm.

Facts & Assumptions

Given: the three stated choice axioms, the domain, the constant ϵ>0 from the Maxwell definition, a bounded sequence (un)n≥1 in X, and the definitions of H(curl⁡) and H0(curl⁡).

[A1]

The Axiom of Choice is used by the imported Rellich compactness theorem's translation estimate. (The Axiom of Choice)

[A2]

Countable Choice selects the regular decompositions for sequences and is used, together with Dependent Choice, by the imported Rellich theorem's Fréchet–Kolmogorov compactness extraction. (The Axiom of Countable Choice (ACω), The axiom of dependent choice: a relation in which every element is related to something admits an N-indexed chain)

[F1]

For every u∈H0(curl⁡;Ω) there are z∈H01(Ω;R3) and p∈H1(Ω) such that u=z+∇p, with ∥z∥H1+∥p−pΩ∥H1≤CΩ∥u∥H(curl⁡). (Regular decomposition of zero-tangential H(curl) fields)

[F2]

On every bounded open set, bounded subsets of W01,2 have subsequences converging in L2; the theorem states the Axiom of Choice and its proof dependencies Countable Choice and Dependent Choice. (Compactness of W01,p(Ω)↪Lp(Ω) on bounded open sets, The Axiom of Choice, The Axiom of Countable Choice (ACω), The axiom of dependent choice: a relation in which every element is related to something admits an N-indexed chain)

[F3]

H01 is the graph-norm closure of compactly supported smooth fields; the H(curl⁡) norm is bounded by the H1 norm, and H0(curl⁡) is the graph-norm closure of compactly supported smooth vector fields. (Zero-boundary Sobolev space as a norm closure, The real H(curl) graph space on a polyhedron, Zero tangential trace H(curl) space)

[F4]

Real L2(Ω;R3) is complete with its integral inner product. (L2 with the integral pairing is a Hilbert space)

[F5]

A strongly L2-convergent sequence in H0(curl⁡) with bounded curls has a subsequence whose limit remains in H0(curl⁡) and has the weak limit of those curls. (Weak graph limits preserve zero tangential H(curl))

[F6]

Since ϵ is a positive constant scalar, K⊥ϵ=K⊥ in ordinary L2; thus this statement's full-kernel gauge is the unweighted gauge used below. (PEC Maxwell cavity eigenproblem and full-kernel gauge)

Proof

Given: the Statement's Axiom of Choice, Countable Choice and Dependent Choice, the bounded domain, and an arbitrary sequence (un)n≥1⊂X with sup⁡n∥un∥H(curl⁡)<∞.

1.1A2F1givenchoose

By [F1] and Countable Choice [A2], choose for each n zn∈H01(Ω;R3) and pn∈H1(Ω) with un=zn+∇pn and ∥zn∥H1≤CΩ∥un∥H(curl⁡). Hence (zn) is bounded in W01,2(Ω;R3).

1.2F3givenalgebra

Set gn:=∇pn=un−zn. By [F3], zn∈H0(curl⁡); since un∈H0(curl⁡), their difference is in that space. Its distributional curl is zero: for every compactly supported smooth vector test φ, integration by parts in the weak-derivative definition gives ⟨curl⁡∇pn,φ⟩=−∫Ωpn div⁡(curl⁡φ) dx=0, because div⁡(curl⁡φ)=0. Thus gn∈K for the kernel K defining X.

2.1A1A2F2step 1.1choose

Apply [F2] componentwise and take the finite successive subsequence to obtain indices nj for which znj converges strongly, and therefore is Cauchy, in L2(Ω;R3). The finite product of the three component L2 norms is the vector L2 norm.

3.1F1F4F6step 2.1step 1.2algebra

For any j,k, unj−unk∈X=K⊥ and gnj−gnk∈K, so their L2 inner product is zero. Since unj−unk=(znj−znk)+(gnj−gnk), it follows that ∥unj−unk∥22=⟨unj−unk,znj−znk⟩L2. Cauchy–Schwarz implies ∥unj−unk∥2≤∥znj−znk∥2 (with the zero case immediate). Step 2.1 therefore makes (unj) Cauchy in L2; [F4] gives its strong L2 limit. This proves compactness.

4.1A2F5F6step 1.1step 3.1givenchoose

If the curl Poincare inequality failed, Countable Choice [A2] selects for each n vn∈X with ∥vn∥2=1 and ∥curl⁡vn∥2<1/n. The graph norms are bounded, so compactness proved in steps 1.1–3.1 gives a subsequence converging strongly in L2 to some v. By [F5], after a further subsequence v∈H0(curl⁡) and curl⁡v=0. For each k∈K, strong convergence and vn⊥K give (v,k)L2=0, so v∈X∩K={0}. But strong convergence preserves ∥v∥2=1, a contradiction. Therefore a uniform constant CΩ exists.

5.1step 4.1algebra∎

The estimate in step 4.1 makes ∥u∥H(curl⁡)2=∥u∥22+∥curl⁡u∥22 bounded by a constant times ∥curl⁡u∥22 on X. Hence the curl form is coercive in the graph norm.

Source notes

The local argument writes the orthogonal-kernel cancellation explicitly. The Hiptmair–Pechstein report supplies the regular-decomposition interface only; its quoted extension operators are not treated here as proved results. The local regular-decomposition theorem is used with its stated p∈H1 contract. Membership of the gradient remainder in H0(curl⁡) follows from ∇p=u−z, rather than from an unstated zero-boundary condition on p.

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Kernel projection gives dense conforming gauge approximants

Statement

Assume Countable Choice. Let Ω be a bounded connected Lipschitz polyhedron and let {Th} be a shape-regular family of matching affine tetrahedral meshes with maximum cell diameter h→0, as in Matching affine simplicial meshes and shape regularity and the mesh hypothesis of Smooth fields are approximated by the lowest-order edge family. For each mesh let Kh=ker⁡(curl⁡∣Vh) and Xh=Vh∩Kh⊥, with the L2 inner product. Then for every u∈X and every sequence of mesh sizes hn→0, there are uhn∈Xhn such that ∥uhn−u∥H(curl⁡;Ω)⟶0.

Facts & Assumptions

Given: Countable Choice, the constant ϵ>0 from the Maxwell definition, u∈X, the finite-dimensional PEC edge spaces Vh, and the shape-regular refining mesh family from Smooth fields are approximated by the lowest-order edge family.

[A1]

Countable Choice is inherited from the smooth edge-approximation supplier. (The Axiom of Countable Choice (ACω))

[F1]

H0(curl⁡) is the graph-norm closure of Cc∞(Ω;R3). Since Vh⊂V and every vector in Kh has zero distributional curl, Kh⊂K. (Zero tangential trace H(curl) space, PEC Maxwell cavity eigenproblem and full-kernel gauge)

[F2]

For every compactly supported smooth field w, the canonical edge interpolants Ihw are in Vh for sufficiently small h and converge to w in the H(curl⁡) norm. (Smooth fields are approximated by the lowest-order edge family)

[F3]

Every finite-dimensional subspace of the real L2 Hilbert space has an orthonormal basis; a closed subspace has an orthogonal projection. (Every finite-dimensional real or complex inner product space has an orthonormal basis, Orthogonal decomposition by a closed subspace)

[F4]

Since ϵ is a positive constant scalar, the weighted and ordinary L2 orthogonal complements of K and Kh coincide. (PEC Maxwell cavity eigenproblem and full-kernel gauge)

Proof

Given: Countable Choice, u∈X, and an arbitrary mesh sequence hn→0.

1.1A1F1F2givenchoose

By [F1], for every j≥1 there is φj∈Cc∞(Ω;R3) with ∥u−φj∥H(curl⁡)<1/j. Countable Choice selects one such field for each j. By [F2], for each fixed j there is an index Nj such that for every n≥Nj, Ihnφj∈Vhn and ∥Ihnφj−φj∥H(curl⁡)<1/j; choose the least such Nj, and replace the sequence by increasing thresholds Mj:=max⁡{j,N1,…,Nj,Mj−1+1}, with M0=0.

1.2A1F3givenconstruct

Each Khn is a finite-dimensional subspace of the real L2 Hilbert space. By Countable Choice [A1], choose an orthonormal basis for each Khn using [F3]. If a sequence in Khn converges in L2, its coordinates against this finite basis converge, and the limit is the corresponding finite linear combination; thus Khn is closed. By [F3] it has an orthogonal projection Pn satisfying ∥Pny∥2≤∥y∥2, including Pn=0 when Khn={0}.

2.1step 1.1algebra

For each n with {j≤n:Mj≤n}≠∅, let j(n) be its largest member and set wn:=Ihnφj(n); for the finitely many initial indices where the set is empty put wn=0. Since Mj≥j and is strictly increasing, j(n)→∞. For all later indices, ∥wn−u∥H(curl⁡)<2/j(n), so wn→u in graph norm.

3.1F1F3F4step 2.1step 1.2

Since Khn⊂K by [F1] and u∈K⊥ by [F4], Pnu=0. Thus ∥Pnwn∥2=∥Pn(wn−u)∥2≤∥wn−u∥2. Set uhn:=wn−Pnwn. Both terms lie in Vhn and the projection residual is orthogonal to Khn, so uhn∈Xhn.

4.1step 2.1step 3.1algebra∎

Because curl⁡(Pnwn)=0, ∥uhn−u∥2≤2∥wn−u∥2 and ∥curl⁡(uhn−u)∥2=∥curl⁡(wn−u)∥2. Consequently ∥uhn−u∥H(curl⁡)≤3∥wn−u∥H(curl⁡)→0 by step 2.1.

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Spectral convergence and no nonzero pollution for PEC edge elements

Statement

Assume the Axiom of Choice, Countable Choice and Dependent Choice. Let Ω⊂R3 be a nonempty bounded contractible Lipschitz polyhedral cavity with connected boundary. Let ϵ,μ>0 be constant scalar coefficients and let {Thn}n≥1 be a shape-regular refining family of matching affine tetrahedral meshes, with hn→0. Use the full continuous and discrete curl-kernel quotient gauges X and Xhn of PEC Maxwell cavity eigenproblem and full-kernel gauge. Suppose the three PE09 supplier statements on regular decomposition, Discrete compactness and uniform Poincare inequality for Nedelec fields, and Uniformly bounded commuting projection for lowest-order Nedelec spaces hold for this exact domain, boundary convention and mesh family. Then the continuous PEC curl-curl problem has isolated positive eigenvalues of finite multiplicity. For every isolated continuous eigenvalue λ>0 of multiplicity m, choose δ>0 so that I=(λ−δ,λ+δ) has λ−δ>0 and its closure contains no other continuous eigenvalue. Then I contains exactly m discrete eigenvalues for all sufficiently large n; these converge to λ and their eigenspaces converge to the continuous eigenspace in symmetric L2 gap. If positive discrete eigenvalues converge to a finite limit, that limit is a continuous eigenvalue. Thus the method has no nonzero spectral pollution. No claim selects convergent individual eigenvectors inside a repeated eigenspace.

The positive coefficients in this theorem are homogeneous scalars. A variable or tensor-valued coefficient requires a weighted compactness and projection interface; it is not covered by the unweighted PE09 statements. The quotient removes the entire curl kernel, so topology-dependent zero modes are not counted as positive eigenvalues.

Facts & Assumptions

Given: the three choice axioms; the domain and mesh family; the constant coefficients; the continuous and discrete PEC spaces, kernels and gauges; and the continuous/discrete eigenproblems of PEC Maxwell cavity eigenproblem and full-kernel gauge.

[A1]

The Axiom of Choice, Countable Choice and Dependent Choice are explicit hypotheses inherited from the continuous compactness, Rellich and weak subsequence suppliers. (The Axiom of Choice, The Axiom of Countable Choice (ACω), The axiom of dependent choice: a relation in which every element is related to something admits an N-indexed chain)

[F1]

On the full continuous kernel quotient, the inclusion into L2 is compact and the curl form satisfies a uniform Poincare inequality. (Compact embedding and curl Poincare inequality for the continuous PEC quotient)

[F2]

The continuous quotient is infinite-dimensional on every nonempty open cavity. (The PEC full-kernel gauge is infinite-dimensional)

[F3]

For the contractible cavity and shape-regular tetrahedral family, every sequence in the discrete divergence-free subspace bounded in H(curl⁡) has a strongly L2-convergent subsequence, and the discrete curl Poincare inequality is uniform in h. (Discrete compactness and uniform Poincare inequality for Nedelec fields)

[F4]

The homogeneous family has uniformly graph-bounded cochain projections πh,0k onto Eh,0k, identity on those homogeneous finite element spaces, and dπh,0k=πh,0k+1d on the homogeneous complex. In particular πh,01 maps H0(curl⁡) to Vh. These are the separate relative operators; no boundary-preservation claim is made for the full family πhk. (Uniformly bounded commuting projection for lowest-order Nedelec spaces)

[F5]

Smooth compactly supported fields have canonical edge interpolants converging in H(curl⁡); kernel projection then gives H(curl⁡)-convergent approximants in Xh to every u∈X. (Smooth fields are approximated by the lowest-order edge family, Kernel projection gives dense conforming gauge approximants)

[F6]

A strongly L2-convergent sequence in H0(curl⁡) with bounded curls has a subsequence with a weak graph limit in H0(curl⁡); the H(curl⁡) graph is Hilbert. (Weak graph limits preserve zero tangential H(curl))

[F7]

A compact embedding and a bounded Hermitian coercive form yield the continuous compact self-adjoint solution operator and its eigenvalue list; finite-dimensional coercive Ritz problems have eigenvalues counted with multiplicity. (Discrete spectrum and min–max principle for a compact coercive form, Finite-dimensional conforming Ritz values satisfy min–max)

[F8]

Strongly convergent compact self-adjoint nonnegative operators with a sequentially collectively compact family and a uniform operator bound have convergent positive eigenvalue clusters with full multiplicity, convergent eigenspaces and no positive spectral pollution. (Spectral convergence under collectively compact positive approximations)

[F9]

The mesh spaces are the lowest-order Whitney edge family, the scalar continuous piecewise P1 space, and the zero-curl subspace with its L2-orthogonal gauge; H01 is the closure of compactly supported smooth scalars. (Lowest-order Whitney and Nedelec de Rham spaces, Kernel quotient and gauge for discrete curl-curl, Lowest-order Nedelec edge circulation unisolvence, Zero-boundary Sobolev space as a norm closure)

[F10]

A finite-dimensional real inner-product space has an orthonormal basis; the eigenvalues of a finite-dimensional coercive Ritz problem are counted with multiplicity. (Every finite-dimensional real or complex inner product space has an orthonormal basis, Finite-dimensional conforming Ritz values satisfy min–max)

[F12]

Every closed subspace of a Hilbert space has an orthogonal projection, and the Hilbert space is the orthogonal direct sum of the subspace and its orthogonal complement. (Orthogonal decomposition by a closed subspace)

[F13]

Since ϵ>0 is a constant scalar, the weighted and ordinary L2 orthogonal complements defining X and Xh coincide. (PEC Maxwell cavity eigenproblem and full-kernel gauge)

Proof

Given: the statement's hypotheses and supplier statements [F1]–[F13].

1.1A1F1F2F6F7F9F11F12F13givenconstruct

Put Y=L2(Ω;R3) with inner product b(u,v)=ϵ(u,v)L2, and let HX be the Y-closure of X. The graph of distributional curl is closed: convergence of a field and its curl in L2 passes to the distributional identity in The real H(curl) graph space on a polyhedron. Thus H(curl⁡) is Hilbert by [F6], and H0(curl⁡) is a closed subspace by its closure definition. Since K⊥ is closed in Y by [F12] and the graph inclusion into Y is continuous, X=H0(curl⁡)∩K⊥ is closed in the graph space. By [F1], the curl form a(u,v)=μ−1(curl⁡u,curl⁡v)L2 is bounded and coercive on X in its graph norm. The inclusion J:X→HX is injective, compact by [F1], and has dense range by the definition of HX; HX is an infinite-dimensional Hilbert space by [F2], [F11] and [F12]. Applying [F7] constructs the compact positive self-adjoint solution operator TX on HX, whose nonzero eigenvalues are νj=1/λj for the continuous curl-curl eigenvalues. Extend it to Y as T:=TXPHX, where PHX is the orthogonal projection from [F12]. Composition with this bounded projection preserves compactness; orthogonality of the decomposition Y=HX⊕HX⊥ shows that T is nonnegative and self-adjoint, with the same nonzero eigenvalues.

1.2F9F13givenconstruct

For a mesh Th, put Sh=Wh0∩H01(Ω) and Gh=∇Sh. On a tetrahedron with barycentric coordinates λi and vertices xi, the identity ∑j≠iϕij=−∇λi follows from ∑jλj=1. Since xℓ=∑i(xi)ℓλi, eℓ=∇xℓ=∑i(xi)ℓ∇λi is in the local Nedelec space. Hence each piecewise constant ∇qh lies in that space. For each oriented mesh edge e=[xi,xj] and every tetrahedron K containing it, its local circulation is ∫e∇(qh∣K)⋅te ds=qh(xj)−qh(xi). The continuous piecewise-affine function qh has the same endpoint values in every incident tetrahedron, so the circulation is common to all cells containing e. Thus the local fields assemble with the required global edge conformity. Choose compactly supported smooth qj→qh in H1 by the closure definition of H01. Then ∇qj∈Cc∞(Ω;R3) and ∥∇qj−∇qh∥H(curl⁡)=∥∇qj−∇qh∥L2→0, since both gradients have zero distributional curl. Thus ∇qh∈Vh and Gh⊂Kh. Because ϵ>0 is a constant scalar, the weighted and ordinary L2 orthogonal complements coincide. Consequently Xh=Kh⊥∩Vh is a subspace of the gradient orthogonal space in [F3].

1.3F7F9F10F13givenconstruct

On Xh, the curl form is positive definite: if curl⁡vh=0, then vh∈Kh∩Kh⊥={0}. The space is finite-dimensional because the mesh has finitely many edge degrees of freedom. Choose an a-orthonormal basis ψ1,…,ψN by [F10] and define Thf=∑i=1Nb(f,ψi)ψi. For vh=∑iciψi, this gives a(Thf,vh)=∑icib(f,ψi)=b(f,vh), so the formula defines the unique linear map Th:Y→Xh satisfying the discrete source equation. For f,g∈Y, the same formula gives b(Thf,g)=∑ib(f,ψi)b(ψi,g)=a(Thf,Thg)=b(f,Thg), so Th is self-adjoint. It also gives b(Thf,f)=∑ib(f,ψi)2=a(Thf,Thf)≥0. Its finite-dimensional range makes it compact. If Theh=νeh with ν≠0, the defining equation gives a(eh,vh)=ν−1b(eh,vh) for every vh∈Xh; conversely every discrete eigenpair with eigenvalue λh satisfies Theh=λh−1eh. Thus its nonzero eigenvalues are νh,j=1/λh,j, counted with multiplicity by [F7].

2.1F3step 1.2step 1.3algebra

Testing the defining equation with uh=Thf gives μ−1∥curl⁡uh∥22=b(f,uh)≤∥f∥Y∥uh∥Y. By [F3] and the constant coefficients, ∥uh∥Y≤C∥curl⁡uh∥2; hence ∥Thf∥H(curl⁡)≤C′∥f∥Y, uniformly in h. For any bounded sequence fn∈Y and hn→0, [F3] applied to Thnfn∈Xhn supplies a strongly convergent subsequence in Y. Therefore (Th) is sequentially collectively compact and uniformly bounded in operator norm.

3.1F4F5F6givenchoosestep 2.1

Fix f∈Y and any sequence hn→0. By step 2.1 and [F3], every subsequence of un:=Thnf has a further subsequence converging strongly in Y to some u. By [F6], after a further subsequence u∈V and curl⁡un⇀curl⁡u. For each k∈K, the projection supplier [F4] gives khn:=πhn,01k∈Vhn and curl⁡khn=πhn,02curl⁡k=0, so khn∈Khn. Moreover khn→k strongly in graph norm: given η>0, use the closure definition to choose φ∈Cc∞(Ω;R3) with ∥k−φ∥H(curl⁡)<η, then use [F5] to obtain whn=Ihnφ∈Vhn with whn→φ. Because πhn,01 is a uniformly bounded projection and equals the identity on Vhn, ∥πhn,01k−k∥H(curl⁡)≤(sup⁡h∥πh,01∥+1)∥k−whn∥H(curl⁡). Letting n→∞ and then η→0 proves the convergence. Since un⊥Khn, taking limits in b(un,khn)=0 gives b(u,k)=0. As k∈K was arbitrary, u∈X.

4.1F1F5F6step 3.1algebra

Let v∈X. By [F5], choose vhn∈Xhn with vhn→v in graph norm. The discrete equation is a(un,vhn)=b(f,vhn). Along the subsequence of step 3.1, the curls of un converge weakly and those of vhn strongly, while both fields converge strongly in L2. Passing to the limit gives a(u,v)=b(f,v) for every v∈X. Coercivity in [F1] makes this continuous source problem unique, so u=Tf. Every subsequence has a further subsequence converging to Tf; therefore Thnf→Tf strongly in Y for every f∈Y.

5.1F3F7F8step 4.1algebra∎

The operators T and Th are compact, nonnegative and self-adjoint; steps 3.1 and 4.1 give the uniform bound, sequential collective compactness and pointwise convergence required by [F8]. Thus every isolated positive eigenvalue ν=1/λ of T is approximated by exactly its full multiplicity of eigenvalues νh, with convergence of eigenspaces in symmetric Y-gap, and no positive spurious spectral limit occurs. Taking reciprocals λh=1/νh preserves convergence and multiplicity. Because ϵ is a positive constant, the Y-gap is equivalent to the ordinary L2 gap. The uniform discrete curl Poincare estimate in [F3] gives λh≥c>0, independent of h, by testing the eigenrelation with its eigenvector, so any finite limit of positive discrete eigenvalues is positive. The same reciprocal argument sends every positive finite limit of discrete λh to a nonzero spectral limit of T, hence to a continuous eigenvalue by [F8]. This proves the theorem, including repeated clusters and the exclusion of nonzero pollution.

Remarks

The regular-decomposition interface of Regular decomposition of zero-tangential H(curl) fields enters through [F1], with its original p∈H1 scalar contract. The discrete compactness and quotient inequality enter through [F3]. Kernel approximation in step 3.1 uses the separate homogeneous projection family in [F4]; the full projection family is not assumed to preserve the PEC boundary condition.

Source notes

Boffi's complete course notes supply general Galerkin spectral-convergence context, and Chen's complete Maxwell notes supply the edge-element and commuting-interpolation conventions. The spectral perturbation argument and its application are proved locally above; those sources do not replace the named local PE09 suppliers.

5 · Examples, counterexamples and false statements

None yet.

Sources