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Diagonal multiplication is self-adjoint
Statement
Assume Countable Choice, as required by the adjoint definition Adjoint of a densely defined operator. For the diagonal model Diagonal self-adjoint operator model, the operator is densely defined and self-adjoint on .
Facts & Assumptions
Given: As stated in the item.
Diagonal self-adjoint operator model: has domain and acts coordinatewise by multiplication by the real numbers .
Adjoint of a densely defined operator: the adjoint domain consists of those for which on is represented by inner product with a vector of .
Square-summable families on an arbitrary index set and the space and Real and complex inner-product spaces and their induced length: square summability is the finite-subset sum condition, and the inner product is linear in the first argument.
Completeness and linear domain of the diagonal sequence model: the coefficient inner-product space is Hilbert and the displayed diagonal domain is a dense linear subspace with a linear action.
Countable Choice is assumed, as in the definition of the Hilbert-space adjoint.
Proof
Given: The diagonal operator of Diagonal self-adjoint operator model with real entries .
By [F5] the ambient space is Hilbert and the operator domain and action are linear. Every finitely supported sequence belongs to . For , the tails of its square-sum can be made arbitrarily small, so finite-coordinate truncations converge in norm to ; finite-support vectors are therefore dense in .
For , Cauchy–Schwarz [F4] makes finite, and reality of gives . Thus is symmetric.
If , there is such that for every . Taking gives , hence for every ; since , and . Conversely symmetry in step 1.2 shows every is in with that value. Therefore and .
Depends on
Completeness and linear domain of the diagonal sequence model
Adjoint of a densely defined operator
Real and complex inner-product spaces and their induced length
Square-summable families on an arbitrary index set and the space
Diagonal self-adjoint operator model
Cauchy–Schwarz: , with equality exactly for dependent pairs