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Simple complete spectrum of the separated Robin realisation
Statement
Assume the Axiom of Choice and Countable Choice (The Axiom of Choice, The Axiom of Countable Choice ()). Let , , , and let be the Robin realisation of Green resolvent for separated Robin boundary conditions: Then:
(a) has compact resolvent; there is a complete orthonormal family of eigenvectors of , every eigenspace of is one-dimensional, and the spectrum of consists exactly of the eigenvalues of , listed with multiplicity, which satisfy and ;
(b) in particular the eigenvalues can be listed strictly increasingly as (each simple), and if with , then is a nonzero multiple of the solution of , , , and the eigenvalue condition is when , while occurs for no eigenvalue.
Facts & Assumptions
Given: the Robin realisation of Green resolvent for separated Robin boundary conditions.
is self-adjoint, its resolvent is an integral operator with continuous kernel, and is compact for every in the resolvent set (Green resolvent for separated Robin boundary conditions).
Compact-resolvent structure (Self-adjoint operators with compact resolvent: eigenbasis and discrete spectrum): a self-adjoint operator with compact resolvent on an infinite-dimensional Hilbert space has a complete orthonormal family of eigenvectors with eigenvalues satisfying , all eigenspaces finite dimensional, spectrum exactly the eigenvalue set, and empty essential spectrum (Orthonormal families, complete orthonormal systems and Hilbert bases).
For every the unique solution of , , , exists and is ; every eigenfunction of with eigenvalue satisfies the left boundary condition and hence, together with its value at , is determined by up to the scalar (Regular interval IVP: existence, a priori bound and entire spectral-parameter dependence).
is infinite dimensional: the vectors , , form an infinite orthonormal family (Completeness of the Dirichlet sine system on an interval, Orthonormal families, complete orthonormal systems and Hilbert bases), while a space with a finite spanning set has no linearly independent subset equinumerous with (If has a spanning set with elements, then every linearly independent subset of is finite with at most elements; in particular has no linearly independent subset equinumerous with ) and a finite-dimensional space has a finite basis, hence a finite spanning set (Finite-dimensional vector space, and its dimension ; infinite-dimensional means having no finite basis, Basis of a vector space: a linearly independent spanning subset; and ordered basis: an injective finite list whose image is a basis).
For , the first-order identity of Integration by parts and the endpoint-vanishing space on intervals clause (a) applied to the pair (both in because ), together with the boundary conditions and and the reality of , gives and the trace bound of Endpoint trace bound and decay of H1 functions clause (a) on the intervals and , , gives .
Under Countable Choice, a closed linear subspace of a Hilbert space satisfies (Orthogonal decomposition by a closed subspace). For a densely defined operator, orthogonality of to gives and by Adjoint of a densely defined operator; for real and self-adjoint , testing the adjoint identity gives . Cauchy-Schwarz gives (Cauchy–Schwarz: , with equality exactly for linearly dependent vectors).
Proof
[Compact resolvent and infinite dimension] By [F1], is compact and lies in the resolvent set of the self-adjoint operator . By [F4], is infinite dimensional.
[Boundedness below] Put and , so that . For , [F5] gives where : the integral term is at least , each of the two boundary terms is at least resp. times the trace bound of [F5], and the coefficient of is at least . In particular every eigenvalue of satisfies , because for an eigenvector .
[Simplicity] Let with . By [F3] the solution is the unique solution of the initial value problem with data at , so the representative of equals ; here , because otherwise the representative vanishes at together with its derivative , forcing by uniqueness. Hence is one-dimensional: every nonzero eigenfunction at is a nonzero multiple of . The eigenvalue condition is the right boundary condition evaluated on ; would give and hence by uniqueness, which is impossible since .
[A real resolvent point, eigenbasis and increasing list] Put with from step 1.2. For , that lower bound and Cauchy-Schwarz give . The range of is closed: if , this estimate makes Cauchy, and closedness of the self-adjoint operator gives a limit with . By Orthogonal decomposition by a closed subspace, its closed range is all of once its orthogonal complement is zero. A vector orthogonal to it belongs to by the adjoint definition and the same estimate. Thus is bijective with inverse norm at most one, so . The resolvent identity gives ; the compactness for every resolvent in [F1] therefore gives compactness at this real . Now [F2] applies: a complete orthonormal eigenfamily exists, all eigenspaces are finite dimensional, the spectrum is exactly the eigenvalue set, and the essential spectrum is empty, with . Step 1.2 gives , hence . By step 2.1 the eigenvalues are pairwise distinct; their increasing enumeration is consequently with . This proves (a) and (b).
Depends on
One-dimensional Sobolev spaces on intervals
Green resolvent for separated Robin boundary conditions
Regular interval IVP: existence, a priori bound and entire spectral-parameter dependence
Completeness of the Dirichlet sine system on an interval
Self-adjoint operators with compact resolvent: eigenbasis and discrete spectrum
Integration by parts and the endpoint-vanishing space on intervals
Endpoint trace bound and decay of H1 functions
If has a spanning set with elements, then every linearly independent subset of is finite with at most elements; in particular has no linearly independent subset equinumerous with
Finite-dimensional vector space, and its dimension ; infinite-dimensional means having no finite basis
Basis of a vector space: a linearly independent spanning subset; and ordered basis: an injective finite list whose image is a basis
Orthonormal families, complete orthonormal systems and Hilbert bases
Symmetric, self-adjoint and essentially self-adjoint operators
Resolvent and spectrum of an unbounded operator
Hilbert space
The Axiom of Countable Choice ()
The Axiom of Choice
Adjoint of a densely defined operator
Cauchy–Schwarz: , with equality exactly for linearly dependent vectors
Orthogonal decomposition by a closed subspace
Dependency tree · 2 levels
Sources
- G. Teschl, Mathematical Methods in Quantum Mechanics, 1st edition 2009, Section 9.2, Theorem 9.10 p. 192 and its following separated-boundary simplicity explanation (the proof here independently treats the specified separated Robin domain)
- Haim Brezis, Functional Analysis, Sobolev Spaces and Partial Differential Equations (Springer Universitext 2011), Section 8.6 pp. 231-233 (eigenfunction expansions for one-dimensional Sturm-Liouville problems)