How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
The resolvent norm blows up at an eigenvalue
Example
Assume the setting of Non-invertible elliptic shifts form a discrete set in the self-adjoint case and let be a weak eigenpair with (Symmetric elliptic weak eigenpairs). Then for every real because has norm ; combined with the exact formula of the spectral-series corollary this gives . Hence the resolvent norm is unbounded on every neighbourhood of an eigenvalue: at , for every sufficiently small , it is at least . The Fredholm alternative is consistent with this: at the homogeneous problem has the nonzero solution , and uniqueness and bounded invertibility both fail.
Facts & Assumptions
Given: the Axiom of Choice and Countable Choice; a bounded open set ; the symmetric divergence-form operator with eigenvalues and orthonormal eigenbasis; a weak eigenpair with ; and a real .
Eigenpair data: and for all , equivalently and ; the eigenbasis is orthonormal in (Symmetric elliptic weak eigenpairs, Discrete spectrum of a symmetric elliptic Dirichlet operator).
Real resolvent data: for real , the base-field operator is bijective with bounded inverse , and . In the real case this inverse complexifies to and has the same norm; thus its complexification is the negative of the library resolvent of , with the same operator norm (Non-invertible elliptic shifts form a discrete set in the self-adjoint case, The complex pairing on equivalence classes, Complex Lp classes and Euclidean test-function conventions, Complexification of a real-linear map, Complexification as with its canonical real-linear embedding, Resolvent and spectrum of an unbounded operator, The operator norm as the least bound and as the unit-sphere or unit-ball supremum, The space as the quotient by null functions).
Verification
Action on the eigenfunction. Since by [F1], for real one has , and applying the inverse of [F2] (which exists because and ) gives Taking norms and using , .
Lower bound for the operator norm. By definition of the operator norm, ; combined with the exact formula of [F2] the lower bound for this fixed is an equality exactly when , that is, when is a nearest eigenvalue.
Blow-up near an eigenvalue. Fix and such that (possible for all sufficiently small because the eigenvalue set is discrete); then step 2.1 with gives , so the resolvent norm is unbounded on every neighbourhood of . At itself no bounded inverse exists: is a nonzero homogeneous solution, so is not injective, in agreement with the criterion that is bijective with bounded inverse exactly for ; uniqueness and bounded invertibility both fail at an eigenvalue.
Depends on
- Non-invertible elliptic shifts form a discrete set in the self-adjoint case
- The Axiom of Choice
- The complex $L^2$ pairing on equivalence classes
- Complex Lp classes and Euclidean test-function conventions
- Complexification of a real-linear map
- Complexification as $\mathbb C\otimes_{\mathbb R}V$ with its canonical real-linear embedding
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- The space $L^p(\mu)$ as the quotient by null functions
- The operator norm as the least bound and as the unit-sphere or unit-ball supremum
- Resolvent and spectrum of an unbounded operator
- Symmetric elliptic weak eigenpairs
- Discrete spectrum of a symmetric elliptic Dirichlet operator
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
65 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
- John K. Hunter, Notes on Partial Differential Equations (UC Davis, revised 18 June 2014, complete 242-page notes) (standard reference, not scraped)
- Leon Simon, Lectures on Partial Differential Equations (Stanford, complete 223-page author scan) (standard reference, not scraped)