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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 and a finite-dimensional conforming subspace . Let , let from Best-approximation gap of a finite-dimensional eigenspace, and let be the energy projection of The conforming energy projection is the best approximation. For write , and for matrices use the induced Euclidean operator norm (The operator norm as the least bound and as the unit-sphere or unit-ball supremum). If then is injective. Set . The vectors , , form a basis of ; they need not be energy-orthonormal. Set and . With , and every nonzero satisfies
Facts & Assumptions
Given: The compact coercive form data, the first normalized eigenvectors, the conforming finite-dimensional space , and the small gap bound in the statement.
The vectors form an -orthonormal eigenbasis and for (Discrete spectrum and min–max principle for a compact coercive form).
The energy projection is orthogonal, is the best energy approximation, and is injective on whenever (The conforming energy projection is the best approximation).
is the supremum of the best energy error over the energy-unit sphere of (Best-approximation gap of a finite-dimensional eigenspace).
Cauchy--Schwarz holds for the energy inner product and the inner product (Cauchy–Schwarz: , with equality exactly for dependent pairs).
Proof
Given: , , , , , and the continuous eigenpairs for .
Put , , and . By [F1], the are -orthonormal. For any coefficient vector , linearity of and [F2]–[F3] give In particular, the error Gram matrix is positive semidefinite and .
Since each is energy-orthogonal to , it is orthogonal to every . Therefore the stiffness Gram matrix satisfies It follows that .
Let . The eigenrelation in [F1] gives and ; in each identity, the energy orthogonality of or removes the projected component. By [F4], and , where the last inequality uses [F1]. Expanding into these two cross terms and shows that every entry of has absolute value at most . If a matrix has entries bounded by , then for each coordinate of is at most , so ; hence .
The least diagonal entry of is . The assumed bound on and step 2.2 therefore give In particular is positive definite and has -dimensional image .
Normalize . The continuous quotient of is by [F1]. The quotient of is . Steps 2.1, 2.2 and 3.1 give Thus . Homogeneity removes the normalization of , proving the bound for every nonzero .
Depends on
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Best-approximation gap of a finite-dimensional eigenspace
- The operator norm as the least bound and as the unit-sphere or unit-ball supremum
- Cauchy–Schwarz: $|\langle x,y\rangle|\le\|x\|\,\|y\|$, with equality exactly for dependent pairs
- The conforming energy projection is the best approximation
- Discrete spectrum and min–max principle for a compact coercive form
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Sources
- Jean-Luc Guermond, MATH 661 Finite Element Methods, Fall 2025, Chapter 47 (standard reference, not scraped)
- Bertrand Mercier, Topics in Finite Element Solution of Elliptic Problems, Chapter 8 (standard reference, not scraped)