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Self-adjoint unbounded polynomial interaction at fixed regulator
Statement
Assume Countable Choice and the data of Positive injective compact polynomial form resolvent. Its variational operator is compact, self-adjoint, positive, and injective on the infinite-dimensional complex Hilbert space . Let be its positive eigenvalues in nonincreasing order, with multiplicity, and choose corresponding orthonormal eigenvectors . Put and define The series for converges in by the Hilbert-space expansion theorem. Then is self-adjoint and satisfies for every ; also is compact. For every , Consequently , on the same domain, is a self-adjoint realization of the differential expression in Finite-lattice polynomial Hamiltonian data and satisfies for every . It has compact resolvent, meaning that for some the map is bijective with bounded inverse on , and that inverse is compact; here and . Put , the eigenvalues of ; equivalently, For every , The lowest eigenvalue is attained and has finite multiplicity. This selects a form realization; it does not assert that the differential expression on is essentially self-adjoint or that it has no other self-adjoint extensions.
Facts & Assumptions
Given: Countable Choice, , the compact positive injective operator , and its variational form.
The Axiom of Countable Choice (): every countable family of nonempty sets has a choice function; this is used to select orthonormal bases in countably many finite-dimensional eigenspaces.
Positive injective compact polynomial form resolvent: is bounded, compact, self-adjoint, positive, injective, and ; for each , is the unique vector satisfying for all .
Spectral theorem for compact self adjoint operators: the nonzero eigenspaces of a compact self-adjoint operator are finite-dimensional, their eigenvalues are real with only possible accumulation point , and their closed span is .
Every finite-dimensional real or complex inner product space has an orthonormal basis: each finite-dimensional eigenspace has an orthonormal basis.
Fourier expansion in a Hilbert space: a complete orthonormal family in a Hilbert space gives norm-convergent finite-subset expansions and Parseval's identity.
Unbounded linear operators: domain, graph and extension, Adjoint of a densely defined operator, and Symmetric, self-adjoint and essentially self-adjoint operators: an unbounded operator has a specified linear domain; its adjoint domain consists of vectors for which the defining pairing is represented by a Hilbert-space vector; a densely defined operator is self-adjoint exactly when its domain equals its adjoint domain and the actions agree.
Coercive polynomial form completion and injection and Fourier expansion in a Hilbert space: is a Hilbert space, injects into , and a complete orthonormal family in either Hilbert space has Parseval expansion in its Hilbert norm.
Cauchy–Schwarz: , with equality exactly for dependent pairs: the Hilbert-space and form pairings satisfy Cauchy--Schwarz.
Proof
By [F1], is compact and self-adjoint. Applying [F2] and using shows that the closed span of its nonzero eigenspaces is all of . If with , then by positivity, while injectivity rules out ; hence every nonzero eigenvalue is positive.
The domains defined by the squared coefficient sums for and coincide. Indeed Multiplying by and summing preserves finiteness in both directions because by [F4]. This proves the displayed coefficient-domain description of .
Each eigenspace is finite-dimensional by [F2], and so has an orthonormal basis by [F3]. The set of nonzero eigenvalues is at most countable, and [A1] selects these finite bases; their union is an orthonormal family whose closed span is by step 1.1. The space is infinite-dimensional: the indicators of the pairwise disjoint unit cubes , , are nonzero mutually orthogonal vectors. Thus the family can be indexed by . The bound gives and . The compact spectral theorem says only finitely many eigenvalues satisfy for each ; recursively taking a largest remaining eigenvalue (which exists because above half its positive supremum there are only finitely many) orders them nonincreasingly with multiplicity and gives , hence .
The family is complete by step 1.1, so [F4] gives in norm for every and Parseval. In particular is dense because it contains all finite linear combinations of the . Since each is real, the diagonal formula for gives for finite sums, and then for all by [F7] and convergence of the coefficient series; thus is symmetric. For with coefficients , Cauchy--Schwarz [F7] makes absolutely convergent, and step 2.1 gives , so .
To compute the adjoint domain, let and write . Testing the adjoint identity on each gives . Because , Parseval gives , so . Conversely, if this sum is finite, then and the coefficient identity holds first for finite sums and then for every by [F7]; hence and . Therefore and as operators; by the unbounded self-adjointness definition in [F5], is self-adjoint.
For , boundedness of and its action on each eigenvector give . Since , we have , so and . Conversely, for , . Thus is bijective with bounded inverse , which is compact by [F1].
The variational identity for , applied to , gives for every . Since and , each lies in and Thus is an orthonormal family in . If is orthogonal in to every , the displayed identity makes all coefficients zero. The completeness of and injectivity of force in . Hence is complete in , and Parseval in gives
Let and set . Integration by parts gives for ; both sides are continuous in for the norm by [F7], and is dense in , so the identity holds for all . It is the defining variational identity for , and uniqueness in [F1] gives . Hence and , so .
Parseval in gives . Subtracting times this identity from step 5.1 yields the claimed formula for , because .
If and , then by the definition of . Since , , so . Step 5.1 therefore gives . Thus every eigenvector, and indeed every operator-domain vector, belongs to the form domain.
Subtracting the real scalar preserves self-adjointness on the same domain, and gives eigenvalues . For , the diagonal expansion and Cauchy--Schwarz [F7] make absolutely convergent; Parseval then gives . The lowest eigenvalue corresponds to the largest eigenvalue of ; its eigenspace is nonzero and finite-dimensional by [F2]. Since , step 5.2 shows that extends the specified polynomial differential expression. Finally , whose inverse is the compact operator by step 4.2. These statements establish the declared realization and all listed scope limits.
Depends on
Finite-lattice polynomial Hamiltonian data
Coercive polynomial form completion and injection
Positive injective compact polynomial form resolvent
Spectral theorem for compact self adjoint operators
Fourier expansion in a Hilbert space
Every finite-dimensional real or complex inner product space has an orthonormal basis
Cauchy–Schwarz: , with equality exactly for dependent pairs
Unbounded linear operators: domain, graph and extension
Adjoint of a densely defined operator
Symmetric, self-adjoint and essentially self-adjoint operators
The Axiom of Countable Choice ()