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.
Finite orthogonal sums of self-adjoint operators and of bounded operators
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()), the choice hypothesis of the cited definitions of the adjoint. Fix an integer , let be complex Hilbert spaces with inner products linear in the first argument (Hilbert space), and let be their orthogonal sum. For each let be a densely defined self-adjoint operator (Adjoint of a densely defined operator, Symmetric, self-adjoint and essentially self-adjoint operators) and put Then:
(a) is a complex Hilbert space, is a dense linear subspace of , and is a linear operator;
(b) is symmetric and self-adjoint, and for every ;
(c) if for every (A bounded linear operator between normed spaces), then , defined by for all , is bounded with (The operator norm as the least bound and as the unit-sphere or unit-ball supremum), its adjoint is (The Hilbert-space adjoint of a bounded operator), and is unitary if every is unitary.
No assertion is made about infinite orthogonal sums: only the finite case is proved here.
Facts & Assumptions
Given: The Axiom of Countable Choice; the integer ; complex Hilbert spaces with pairings linear in the first argument; densely defined self-adjoint operators on ; bounded operators ; vectors ; unit vectors ; scalars .
The orthogonal sum. is a Hermitian sesquilinear form, linear in the first argument, with and equality exactly for ; the induced norm is (Hilbert space). A complex Hilbert space is complete for its norm.
Adjoints. For a densely defined operator on a Hilbert space, consists of those for which is a bounded linear functional on , and is its Riesz representative; is symmetric when for all , and self-adjoint when and (Adjoint of a densely defined operator, Symmetric, self-adjoint and essentially self-adjoint operators). In particular a symmetric operator with is self-adjoint.
Bounded operators. For one has , and is attained as a supremum over the unit ball (A bounded linear operator between normed spaces, The operator norm as the least bound and as the unit-sphere or unit-ball supremum). The Hilbert adjoint is characterized by for all ; is unitary exactly when (The Hilbert-space adjoint of a bounded operator).
Proof
Given: The data of the statement and [F1]-[F3].
[Hilbert-space axioms] [F1] gives sesquilinearity, Hermitian symmetry and positive definiteness of the displayed form, since all of these are checked componentwise and the sum over is finite. For completeness let be a Cauchy sequence in , . For each and all one has , so is Cauchy in and converges to some ; then because a Cauchy sequence is bounded, so , and , which tends to as uniformly in because the sequence is Cauchy; hence . This proves (a) for the space.
[Density and linearity of the domain] The algebraic sum : each with has a finite sum . It is dense in : given and , density of gives for each a vector with , so and . The set is a linear subspace because for , and is linear because each is.
[Symmetry] Let . Then , because each is self-adjoint and hence symmetric; all sums are finite.
[The adjoint domain] Let and . For fixed and each let have in slot and in all other slots; then and has in slot . Using [F2] for and the componentwise pairing, for every . Hence is bounded on , represented by ; so and , that is . Summing, , so and . Hence and .
[Self-adjointness] Step 1.3 gives symmetry; symmetry gives with agreeing with there (Adjoint of a densely defined operator), and step 1.4 gives the converse inclusion, so by [F2]. The norm identity is [F1] applied to . This proves (b).
[Bounded sums] Let and put , which exists because the index set is finite and nonempty. For , , so is bounded with by [F3]. If , choose with ; since , . For each , the unit-sphere formula for the operator norm in [F3] gives a unit vector with . The vector with in slot and elsewhere is a unit vector of , so ; letting gives . If , the upper bound already gives . Thus . For the adjoint of , the operator satisfies for all , so by [F3]. If every is unitary then and likewise , so is unitary. This proves (c).
Remarks
- Where the finiteness is used. Both the norm identity of (b) and the norm formula of (c) are finite-sum statements; for infinite orthogonal sums the domain condition in (b) and the supremum in (c) require separate arguments, and no such statement is made here.
- Choice. Only the Axiom of Countable Choice is declared, as the choice hypothesis of the cited definitions of the adjoint; the argument itself handles finitely many slots and makes no further selection.
Depends on
Adjoint of a densely defined operator
A bounded linear operator between normed spaces
The Axiom of Countable Choice ()
Hilbert space
The Hilbert-space adjoint of a bounded operator
The operator norm as the least bound and as the unit-sphere or unit-ball supremum
Symmetric, self-adjoint and essentially self-adjoint operators