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Symmetric elliptic weak eigenpairs
Definition
Assume Countable Choice. In the symmetric case of The operator associated with a symmetric elliptic form, a weak eigenpair of the Dirichlet problem for is a pair with , and is a weak eigenvalue and a weak eigenfunction. The eigenspace is a closed linear subspace. Weak eigenpairs are exactly operator eigenpairs: is a weak eigenpair if and only if and (Eigenvalues, eigenvectors, eigenspaces , and the spectrum of an endomorphism, The operator associated with a symmetric elliptic form). Eigenfunctions are equivalence classes; no canonical representative or canonical vector in a multiple eigenspace is selected. The multiplicity of is , with no finiteness assertion for general open .
Well-definedness, recorded with the definition. is a linear subspace because and the pairing are linear in the first argument; it is closed in because both and are continuous on for each fixed : boundedness of and the estimate show that weak limits of vectors in remain in . The equivalence with operator eigenpairs is the definition of and : the weak identity for says exactly that the datum represents on , which, together with , is the pair of conditions and . The eigenvalue is required to be real, as is forced for the symmetric form once : taking gives . All equalities are equalities of and classes (The space as the quotient by null functions, Zero-boundary Sobolev space as a norm closure, Uniformly elliptic divergence-form operators and their sesquilinear forms, The Axiom of Countable Choice ()); no regularity of eigenfunctions and no boundary values beyond membership in are asserted.
Depends on
- Real and imaginary parts, complex conjugation, and modulus
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Eigenvalues, eigenvectors, eigenspaces $E_\lambda(T)=\ker(T-\lambda I)$, and the spectrum $\sigma_F(T)$ of an endomorphism
- The space $L^p(\mu)$ as the quotient by null functions
- The $L^2$ operator associated with a symmetric elliptic form
- Uniformly elliptic divergence-form operators and their sesquilinear forms
- Zero-boundary Sobolev space as a norm closure
Used by
- Eigenfunctions for distinct symmetric elliptic eigenvalues are L²-orthogonal Corollary
- Smooth coefficients and boundary make elliptic eigenfunctions smooth Corollary
- Elliptic eigenvalues need not be simple Counterexample
- Elliptic Fredholm solvability can fail at an eigenvalue Counterexample
- Dirichlet Laplacian eigenpairs on an interval Example
- The resolvent norm blows up at an eigenvalue Example
- Eigenbasis expansion in the form norm Lemma
- A repeated eigenvalue has no canonical eigenfunction basis Remark
- Discrete spectrum of a symmetric elliptic Dirichlet operator Theorem
- Higher eigenvalues by orthogonality-constrained minimisation Theorem
- The first Dirichlet eigenfunction by constrained minimisation Theorem
- The Rayleigh principle for the first Dirichlet eigenvalue Theorem
Dependency tree · two levels
37 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Richard S. Laugesen, Linear Analysis and Partial Differential Equations (University of Illinois, 2020, complete 158-page graduate notes) (standard reference, not scraped)
- John K. Hunter, Notes on Partial Differential Equations (UC Davis, revised 18 June 2014, complete 242-page notes) (standard reference, not scraped)
- Richard S. Laugesen, Spectral Theory of Partial Differential Equations (University of Illinois lecture notes, arXiv:1203.2344, complete 120 pages) (standard reference, not scraped)