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CC spectral calculus on a Hilbert space with a fixed countable dense sequence
Statement
Assume Countable Choice (The Axiom of Countable Choice ()). Let be a complex Hilbert space with a specified norm-dense sequence , with inner product linear in the first argument. Let be a densely defined self-adjoint operator on . There is a unique regular projection-valued Borel measure on representing , with , strong countable additivity, and the exact domain and norm identity
Here regular means that every finite positive scalar measure is inner regular by compact sets and outer regular by open sets. Every bounded Borel function has a uniquely determined bounded operator , with , and . Every possibly unbounded complex Borel function has a closed densely defined multiplication realization with exact domain when is finite valued; its truncations converge on that domain. In particular is a strongly continuous unitary group and
Regular representing PVMs and this calculus transport under unitary intertwiners. An isometry intertwining the two strongly continuous groups has a reducing closed range and intertwines their PVMs. These conclusions use the specified countable dense sequence and CC, with no general AC spectral theorem, Gelfand representation, Riesz-Markov theorem or Stone existence theorem as a premise.
Facts & Assumptions
Given: CC, , its specified dense sequence , and with its exact dense domain.
The actual Stieltjes supplier Assuming countable choice, a nondecreasing right-continuous function defines a Borel measure on assumes CC and a finite-real-valued nondecreasing right-continuous function , and supplies a Borel measure with , finite on compact sets. Its Statement does not assert regularity or uniqueness; those needed properties are proved below. The CC use is through its premeasure extension argument.
The actual resolvent supplier Resolvent of a self-adjoint operator: nonreal resolvents and the estimate assumes CC and self-adjointness, and proves that is a bijection from onto for , with inverse norm at most , using symmetry, closedness and double orthogonal complement. Denote the inverse of by to avoid the supplier's alternative sign convention.
The actual orthogonal-decomposition supplier Orthogonal decomposition by a closed subspace assumes CC and a closed linear subspace of a real or complex Hilbert space, and gives the unique orthogonal decomposition. Its projection is linear and contractive by uniqueness and the Pythagorean identity. All recursive choices below are uniquely specified operations, apart from independent countable choices explicitly permitted by CC.
Dominated convergence applies to measurable complex sequences converging almost everywhere with one integrable nonnegative majorant; Fatou's lemma applies to arbitrary nonnegative measurable sequences. Neither assumes arbitrary AC. These are used below with explicitly displayed dominators or nonnegative functions.
Proof
Finite positive moment approximants: first let be any unitary on and fix . For define for . These nonnegative continuous densities define finite measures on supported in . Expansion of the squared norm and give total mass and when , and zero for the other integer Fourier coefficients. This is a finite sum identity and uses no spectral representation.
Actual scalar measure existence: enumerate . Write . For each bounded real sequence use the following canonical subsequence operation: start in (if all measures are zero); repeatedly bisect the current closed interval and retain its first half containing infinitely many remaining indices, then choose the least eligible increasing index at each stage. The nested intervals have lengths tending to zero, so the selected values converge. Apply this uniquely specified operation to , then to within the previous subsequence, and so forth, and take increasing diagonal indices. The resulting sequence tends to infinity and converges to for every rational . Put . Monotonicity of gives monotonicity of ; if , any rational eventually satisfies , so and hence . Also for and for . Thus [F1] applies to this bounded finite-valued function and supplies a measure ; continuity from below applied to expanding intervals shows and support in . For a continuity point of , rational bounds show ; taking limits and then taking rational bounds toward gives . Here and follow directly from the definition and rational interpolation. A monotone bounded function has at most countably many jumps: the points with jump at least are finite, because the sum of any finite set of jumps is at most , and their increasing order provides a canonical enumeration. Consequently finite partitions of an interval containing can have arbitrarily small mesh and only continuity-point interior endpoints; finite choices suffice for each partition, and CC suffices for a sequence of partitions. Upper/lower step bounds and uniform continuity of a continuous test function show . In particular the pushforward under satisfies for every integer . This is a construction from [F1], not an invocation of a measure representation theorem.
Regularity and its precise choice cost: every finite Borel measure on a compact metric space is regular by the following direct argument. For closed , the open sets decrease to , so their measures decrease to ; for open , the compact sets increase to , so their measures increase to ; uses itself. Let be the Borel sets such that for every there are compact open with . Closed and open sets are in , complements exchange the pair with , and countable unions remain in : choose pairs for each with errors less than by CC, use , and choose a finite initial union of the whose measure is within of the full union, by continuity from below. Thus contains the Borel sigma-algebra. Apply this first to the restriction of to and then to its compact continuous pushforward; pushforward regularity follows by compact images for inner approximation, and complements for outer approximation. The measure is therefore regular. The same argument on uses compact truncation to make the omitted mass small before applying the compact-metric construction. It also applies to every finite measure used subsequently. No unspecified regularity property of [F1] is assumed.
Fejer approximation and uniqueness: for continuous on let and put . Finite expansion makes a Laurent polynomial; and its normalized integral is . For , the geometric-series formula gives . Split the convolution at : uniform continuity makes the first contribution to arbitrarily small, and the displayed bound makes the second uniformly tend to zero. Thus Laurent polynomials are uniformly dense in . Any two finite regular positive measures with the moments of step 2.1 agree on continuous integrals. They agree on closed sets by dominated convergence applied to . Their compact inner approximations from step 3.1 then give equality on every Borel set. Thus is unique; the construction does not select among multiple representing measures. In particular the assignment is defined by a unique property, and its use for a countable family requires no additional selection of measures.
Cyclic isometry is onto: for a Laurent polynomial , the moment identities give ; polarization gives the corresponding inner products. Laurent polynomials are dense in , with the density proved as follows. For a Borel , regularity gives compact with small ; when is nonempty and , the continuous function is on , outside , and between and , so its squared distance from is at most . The cases or use the constants or , respectively, with the same error bound. Truncation and quantization of any measurable square-integrable function approximate it by bounded finite simple functions in , so continuous functions are dense; step 4.1 then supplies Laurent-polynomial density. For completeness of this space under CC, take a Cauchy sequence and choose the least successive subsequence indices giving norm differences below , then choose measurable representatives of its countably many classes using CC. Finite triangle inequalities and Fatou [F4] bound the norm of the sum of their absolute differences by ; that sum is finite almost everywhere. The representative series therefore converges almost everywhere, and Fatou on each tail gives convergence with tail norm at most . Cauchyness gives convergence of the original sequence. Thus the isometry extends uniquely to a unitary from onto : choose approximating sequences using CC if necessary, and equality of their distances proves the extension independent of that choice; the range is closed by completeness and dense by definition. It carries multiplication by to . If , both spaces are zero.
Countable cyclic decomposition: set and recursively define , and . Each reduces : this holds initially, and a cyclic space spanned by all integer powers reduces and ; its orthogonal complement reduces both as well. Thus , the sum is orthogonal and closed, and [F3] supplies its uniquely determined projection. Moreover . The closure of the countable orthogonal sum is therefore all , since it contains the specified dense sequence. These are unique recursions from fixed data, not relation-following dependent choices. Step 5.1 identifies with and with multiplication by in each block. To verify onto explicitly, decompose by the block projections: the orthogonal norm sums are bounded by , their partial sums converge, and the remaining vector is orthogonal to each , hence zero by density. The inverse representation is the convergent orthogonal sum of the unique block inverses.
Circle PVM and bounded calculus: in the representation of step 6.1 define blockwise as multiplication by . Then , and . For disjoint , the norm square of the omitted tail on is the corresponding tail of , which tends to zero by countable additivity; hence is strongly countably additive. Its scalar measures are , finite positive Borel measures, regular by step 3.1. Define by block multiplication for bounded Borel ; the norm bound, adjoint and product laws follow by integrating pointwise identities. Also . Any other regular circle PVM representing gives scalar moments for every ; step 4.1 forces equality of all scalar measures, and complex polarization forces equality of the projection operators on every Borel set. Thus and the bounded calculus are unique, without an AC spectral supplier.
Cayley transform of the actual self-adjoint operator: take using [F2]. The adjoint identity follows from testing on the respective exact domains and the bijections in [F2]. The resolvent identity follows by inserting into the inverse equations, and the same computation shows the resolvents commute. Therefore and the reverse product is , so is unitary. Also is injective, and its range is exactly . In the circle representation of step 7.1, consists precisely of the functions supported on ; hence . For put . Multiplication by has range exactly the for which has square-summable block norm. Since , this range is exactly . If , then ; in the multiplication representation this says . Thus the inverse Cayley identification proves the exact unbounded domain, rather than merely identifying an extension of .
Real PVM and unbounded calculus: transport under the Borel bijection from to , defining . Step 8.1 proves the representation and exact domain of , its norm formula and . Strong additivity and the bounded calculus transfer from step 7.1; finite scalar measures are regular on by the truncation argument in step 3.1. For finite-valued Borel , define multiplication on the exact square-integrability domain; truncations prove density of the domain. To prove closedness, if and in the representation, restrict to : bounded multiplication gives . Increasing shows a.e., and gives in the domain. Dominated convergence proves the stated truncation convergence. Uniqueness of a regular PVM representing follows by inverse Cayley transport: its multiplication realization of with the prescribed domain makes multiplication by , so it gives a regular circle PVM representing the same (regularity also follows directly for its finite scalar measures). Step 7.1 gives equality there, and inverse transport gives equality on .
Strong groups and exact generator: define by multiplication by . The group law and unitarity are pointwise; dominated convergence with bound , summed over the blocks, proves strong continuity. If , then and pointwise convergence to give norm convergence of the difference quotient by dominated convergence against the finite weighted norm measure. Conversely, existence of the strong derivative makes the difference quotients at norm bounded. Fatou applied to their squared pointwise limits gives , exactly by step 8.1; its derivative is then . This proves the group and its precise generator without a Stone existence theorem.
Transport and isometric group intertwiners: if a unitary intertwines the self-adjoint operators including their domains, it intertwines both nonreal inverses, hence their Cayley unitaries; the transported circle PVM is a regular representing PVM, so uniqueness in step 7.1, followed by step 9.1, gives and transport of every multiplier with its exact domain. More generally, let an isometry intertwine the two groups for every real . Its closed range is invariant under the target group and its inverse, so and reduce the group. The projection commutes with the group; taking difference quotients and using step 10.1 shows and there, so it commutes with the resolvents by their inverse equations. Thus reduces and its restriction is self-adjoint: its nonreal inverses are the restricted full inverses, or equivalently it is the block restriction of step 9.1. Difference quotients also identify that restriction with on exactly , using both directions of step 10.1. The range has dense sequence ; apply uniqueness to this restriction to obtain and the asserted calculus transport. All conclusions of the Statement follow.
Depends on
The Axiom of Countable Choice ()
Assuming countable choice, a nondecreasing right-continuous function defines a Borel measure on
Resolvent of a self-adjoint operator: nonreal resolvents and the estimate
Orthogonal decomposition by a closed subspace
Dominated convergence
Fatou's lemma
Symmetric, self-adjoint and essentially self-adjoint operators
Hilbert space