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Lifted spectral measure and isometric Bochner scale interpolation

Statement

Assume AC, let A≥I be self-adjoint on a nonzero complex Hilbert space H, and let Iτ=(0,τ) with 0<τ<∞ and Lebesgue measure. For a Hilbert space X, L2(Iτ;X) denotes almost-everywhere classes of strongly measurable functions, meaning almost-everywhere pointwise limits of measurable simple functions, satisfying ∫Iτ∥u(t)∥X2dt<∞, with norm (∫Iτ∥u(t)∥X2dt)1/2. On H=L2(Iτ;H), the formula (E(C)u)(t)=EA(C)u(t) defines a regular spectral projection-valued measure; let A=∫λ dE(λ)≥I. Its completed spectral scale is canonically and isometrically HAs=L2(Iτ;HAs) for every real s. In particular, [L2(Iτ;HAa),L2(Iτ;HAb)]θ=L2(Iτ;HA(1−θ)a+θb) isometrically for all real a,b and 0<θ<1.

For the endpoint operator assertion, let (X0,X1) be any compatible complex Banach couple: the endpoints embed continuously and complex-linearly into a common Hausdorff complex topological vector space. Give X0+X1 the norm inf⁡x=x0+x1(∥x0∥X0+∥x1∥X1), and use the admissible complex strip interpolation norm. Thus admissible functions are bounded continuous sum-valued maps on 0≤Re⁡z≤1, holomorphic in its interior, with continuous endpoint-valued boundary maps tending to zero at imaginary infinity; the function norm is the maximum of the two boundary supremum norms, and the interpolation norm is its infimum at fixed value F(θ).

Let b0,b1∈R, set Yj=L2(Iτ;HAbj), and suppose complex-linear maps Lj:Xj→Yj have finite bounds Mj≥0. Assume consistency: L0x=L1x for x∈X0∩X1, with equality in the common space L2(Iτ;HAmin⁡(b0,b1)). They then define one map L:X0+X1→Y0+Y1 by L(x0+x1)=L0x0+L1x1. For bθ=(1−θ)b0+θb1 and 0<θ<1, ∥Lx∥L2(Iτ;HAbθ)≤M01−θM1θ∥x∥[X0,X1]θ(x∈[X0,X1]θ). The zero-bound convention is 0t=0 for t>0. In particular, for B≥I self-adjoint on a nonzero complex Hilbert space K and real a0,a1, the source endpoints may be Xj=KBaj or Xj=L2(Iσ;KBaj), where Iσ=(0,σ) and 0<σ<∞. Their interpolation spaces are respectively KBaθ and L2(Iσ;KBaθ), with exact norms and aθ=(1−θ)a0+θa1.

Facts & Assumptions

[F1]

Completed spectral scale levels and their unitary maps are compatible on the spectral cutoff core Spectral cutoff cores and unitary identifications of completed scales.

[F2]

The exact spectral interpolation identity and the strip operator argument apply to positive self-adjoint operators on any complex Hilbert spaces Exact scale interpolation and endpoint operator transport.

[F3]

The converse spectral theorem constructs a self-adjoint operator from a regular real PVM Spectral theorem for unbounded self-adjoint operators (PVM form).

[F4]

The PVM norm integral and monotone spectral approximation determine fractional domains and powers Unbounded Borel functional calculus: domains, products, spectral mapping.

[F5]

Bochner Lp completeness on a finite interval holds for an arbitrary real Banach value space under countable choice; apply it to the underlying real space of H Bochner Lp is complete for a Banach value space.

[F6]

AC supplies the choice assumptions of the spectral and Bochner completeness inputs The Axiom of Choice.

[F7]

A PVM has orthogonal projection values, empty-set and whole-space normalization, intersection multiplication and strong countable additivity; regularity means regularity of every scalar measure Projection valued measure.

[F8]

Strong measurability is the almost-everywhere simple-approximation convention of Strongly measurable Banach-valued function. Realification preserves the norm and metric by Realification preserves a complex norm and its metric. Scalar complex L2 norms and the integral Cauchy–Schwarz inequality are supplied by Complex Holder, Minkowski, and the quotient norm, and the inner-product Cauchy–Schwarz inequality by Cauchy–Schwarz: |⟨ u,v⟩|≤‖ u‖‖ v‖, with equality exactly for linearly dependent vectors.

[F9]

Scalar dominated convergence on an arbitrary measure space is Dominated convergence. Nonnegative measurable functions admit increasing measurable simple approximations by Every nonnegative measurable function admits an explicit increasing sequence of simple approximations, and their increasing integrals converge by Monotone convergence for the integral. These apply to Lebesgue time measure as well as to scalar spectral measures; the dominated limits below have integrable squared-norm majorants.

[F10]

Compatible complex Banach couples, their sum norms and the admissible strip interpolation convention are defined in Admissible spectral strip profiles and the exact interpolation upper bound. Only these definitions are used for the arbitrary source couple; its interpolation identity is not assumed to be spectral.

Proof

Given: The data and AC in the statement.

Goal: All asserted identifications and bounds, with the stated exact norms.

1.1F3F4F5F6F7F8F9

Bounded linear maps preserve strong measurability by application to simple approximants. The usual integral pairing ⟨u,v⟩=∫⟨u(t),v(t)⟩Hdt is defined by the inner-product and scalar integral Cauchy–Schwarz inequalities in [F8], is positive definite on the almost-everywhere quotient, and has the displayed norm. Completeness follows by applying the real Bochner completeness theorem to the underlying real Banach space of H; the norm, measurable simple functions and Cauchy sequences are unchanged by this realification, as specified in [F8]. Hence H is a complex Hilbert space, without any separability assumption on H. For each Borel C, E(C) is a bounded orthogonal projection, as is checked pointwise. The identities E(∅)=0, E(R)=I and E(C∩D)=E(C)E(D) also hold pointwise, by the corresponding identities for EA. For disjoint Cn, the finite partial sums converge pointwise strongly to EA(⋃Cn)u(t); their squared differences are dominated by ∥u(t)∥2. Scalar dominated convergence in [F9] proves strong countable additivity on H.

2.1F3F4F7F8F9step 1.1

The scalar spectral measure is νu(C)=∥E(C)u∥2=∫Iτ∥EA(C)u(t)∥2dt. It is regular: approximate u in L2 by finite-valued measurable simple functions v. Such approximation follows by truncating the norm of u, taking its defining simple approximants, clipping them to a fixed ball, and using scalar dominated convergence from [F9], then letting that ball increase. For simple v on disjoint time sets, νv is a finite positive linear combination of the regular scalar measures of EA, so regular. For a finite disjoint Borel partition (Ck), Cauchy–Schwarz from [F8] for the orthogonal projections gives ∑k∣νu(Ck)−νv(Ck)∣≤(∥u∥+∥v∥)∥u−v∥. Thus νv→νu in total variation. Given a Borel set and an error tolerance, first take such a v with small variation error and then compact inner and open outer approximants for νv; their errors for νu are also small. This proves regularity of each νu and hence of the PVM (polarization also gives regular cross measures). The converse spectral theorem now gives A as asserted.

3.1F1F4F8F9step 1.1step 2.1

For every nonnegative Borel w, the identity ∫w dνu=∫Iτ(∫w d(EA)u(t))dt follows first for indicators from step 2.1, then for nonnegative simple functions by finite addition, then for arbitrary w by the increasing simple approximations and scalar monotone convergence in [F9] on both sides. In particular for s≥0 the exact norm formula with w(λ)=λs shows that D(As/2) consists precisely of u(t)∈D(As/2) almost everywhere with ∫∥As/2u(t)∥2dt<∞, and gives equality of the norms. The pointwise power is strongly measurable because the bounded spectral truncations are strongly measurable and converge in H pointwise on this domain; conversely the inverse A−s/2:H→HAs is bounded, so the domain functions are strongly measurable also as HAs-valued functions. Truncated multipliers prove that As/2u(t)=As/2u(t) on this domain.

4.1F1F2F4F8F9step 1.1step 3.1

For any real s, the core isometry u↦As/2u extends onto H by the cutoff argument. The pointwise map u(t)↦Jsu(t) is also an onto isometry L2(Iτ;HAs)→H, since Js and its inverse are bounded maps between their indicated Hilbert spaces and preserve strong measurability. On the ranges of E([1,N]), these two maps agree by the bounded multiplier identities and step 3.1; these cutoff ranges lie in D(A∞) and are dense at every completed level. In the Bochner space they are dense because EA([1,N]) converges strongly and contractively at level s, followed by scalar dominated convergence from [F9] in time with majorant ∥u(t)∥s2. This proves the canonical isometric completion identity for all real s, consistently in common smaller-index spaces. Applying exact spectral interpolation to A proves the displayed identity.

5.1givenF10step 4.1

Consistency makes L well defined: two decompositions of x differ by an element of X0∩X1, on which the endpoint maps agree. For any decomposition x=x0+x1, the target sum norm satisfies ∥Lx∥Y0+Y1≤M0∥x0∥X0+M1∥x1∥X1. Infimizing gives ∥Lx∥Y0+Y1≤max⁡(M0,M1)∥x∥X0+X1. Hence, for an admissible source function F, composition LF is bounded and continuous into the target sum. Its interior difference quotients converge to LF′(z) by this boundedness, so it is holomorphic. On boundary j, the restriction is LjF(j+it); boundedness of Lj preserves endpoint continuity and decay, with supremum norm at most Mj∥F∥F. This argument uses only the arbitrary compatible source couple, without requiring it to be a spectral couple.

6.1givenF2F10step 4.1step 5.1∎

Fix x∈[X0,X1]θ and an admissible F with F(θ)=x. For δ>0 put mj=Mj+δ>0 and G(z)=(m0/m1)z−θLF(z), using the real logarithm of the positive ratio. This scalar factor is holomorphic and bounded on the closed strip, with boundary modulus (m0/m1)j−θ, so G is admissible in the target and G(θ)=Lx. Its boundary supremum at j=0 is at most M0(m0/m1)−θ∥F∥F≤m01−θm1θ∥F∥F, and at j=1 it is at most M1(m0/m1)1−θ∥F∥F≤m01−θm1θ∥F∥F. Taking the infimum over F and then δ↓0 proves the geometric-mean bound, including either zero endpoint bound. Step 4.1 identifies the target interpolation norm exactly with L2(Iτ;HAbθ). For the two stated source specializations, [F2] gives the spectral-source identity, and the construction in steps 1.1–4.1 applied to B,K,Iσ gives the Bochner-source identity; both preserve the exact norm.

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