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The conforming Ritz matrix differs quadratically in the eigenspace gap

Statement

Assume the compact coercive form setting and notation of Discrete spectrum and min–max principle for a compact coercive form. Fix m≥1 and a finite-dimensional conforming subspace Vh⊆V. Let Em=span⁡{e1,…,em}, let δh=δa(Em,Vh) from Best-approximation gap of a finite-dimensional eigenspace, and let Ph:V→Vh be the energy projection of The conforming energy projection is the best approximation. For c∈Km write ∥c∥2=(∑i∣ci∣2)1/2, and for matrices use the induced Euclidean operator norm ∥M∥2=sup⁡∥c∥2=1∥Mc∥2 (The operator norm as the least bound and as the unit-sphere or unit-ball supremum). If 0≤δh≤min⁡{12,λ16mλm}, then Ph∣Em is injective. Set Uh:=Ph(Em). The vectors pi:=Ph(ei/λi), 1≤i≤m, form a basis of Uh; they need not be energy-orthonormal. Set (Ah)ij:=a(pj,pi) and (Bh)ij:=(Jpj,Jpi)H. With Dm:=diag⁡(1/λ1,…,1/λm), ∥Ah−I∥2≤δh2,∥Bh−Dm∥2≤3mλ1δh2, and every nonzero wh∈Uh satisfies a(wh,wh)∥Jwh∥H2≤λm+Cmδh2,Cm:=2λm+6mλm2λ1.

Facts & Assumptions

Given: The compact coercive form data, the first m normalized eigenvectors, the conforming finite-dimensional space Vh, and the small gap bound in the statement.

[F1]

The vectors Jei form an H-orthonormal eigenbasis and a(v,v)≥λ1∥Jv∥H2 for v∈V (Discrete spectrum and min–max principle for a compact coercive form).

[F2]

The energy projection is orthogonal, is the best energy approximation, and is injective on Em whenever δh<1 (The conforming energy projection is the best approximation).

[F3]

δh is the supremum of the best energy error over the energy-unit sphere of Em (Best-approximation gap of a finite-dimensional eigenspace).

Proof

technique · direct

Given: m, Em, Vh, Ph, δh, and the continuous eigenpairs (λi,ei) for 1≤i≤m.

1.1F1F2F3givenalgebra

Put ϕi:=ei/λi, pi:=Phϕi, and ri:=ϕi−pi. By [F1], the ϕi are a-orthonormal. For any coefficient vector c∈Km, linearity of Ph and [F2]–[F3] give ∥∑i=1mciri∥a=∥v−Phv∥a≤δh∥v∥a=δh∥c∥2,v:=∑i=1mciϕi. In particular, the error Gram matrix Gij:=a(rj,ri) is positive semidefinite and ∥G∥2≤δh2.

2.1F2step 1.1algebra

Since each ri is energy-orthogonal to Vh, it is orthogonal to every pj. Therefore the stiffness Gram matrix (Ah)ij:=a(pj,pi) satisfies (Ah)ij=a(ϕj−rj,ϕi−ri)=δij−Gij. It follows that ∥Ah−I∥2=∥G∥2≤δh2.

2.2F1F2F4step 1.1algebra

Let b(u,v):=(Ju,Jv)H. The eigenrelation in [F1] gives b(ϕj,ri)=a(rj,ri)/λj and b(rj,ϕi)=a(rj,ri)/λi; in each identity, the energy orthogonality of ri or rj removes the projected component. By [F4], ∣a(rj,ri)∣≤∥rj∥a∥ri∥a≤δh2 and ∣b(rj,ri)∣≤∥Jrj∥H∥Jri∥H≤δh2/λ1, where the last inequality uses [F1]. Expanding b(pj,pi)−b(ϕj,ϕi) into these two cross terms and b(rj,ri) shows that every entry of Bh−Dm has absolute value at most 3δh2/λ1. If a matrix M has entries bounded by t, then for ∥c∥2=1 each coordinate of Mc is at most t∑j∣cj∣≤tm, so ∥M∥2≤mt; hence ∥Bh−Dm∥2≤3mδh2/λ1.

3.1F2step 2.2givenalgebra

The least diagonal entry of Dm is 1/λm. The assumed bound on δh and step 2.2 therefore give c∗Bhc≥(1λm−3mδh2λ1)∥c∥22≥12λm∥c∥22. In particular Bh is positive definite and Ph∣Em has m-dimensional image Uh.

4.1F1step 2.1step 2.2step 3.1algebra∎

Normalize ∥c∥2=1. The continuous quotient of v=∑iciϕi is R(v)=1/(c∗Dmc)≤λm by [F1]. The quotient of wh=Phv=∑icipi is Rh(wh)=c∗Ahc/(c∗Bhc). Steps 2.1, 2.2 and 3.1 give ∣Rh(wh)−R(v)∣≤δh21/(2λm)+3mδh2/λ1(1/(2λm))(1/λm)=Cmδh2. Thus Rh(wh)≤λm+Cmδh2. Homogeneity removes the normalization of c, proving the bound for every nonzero wh∈Uh.

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