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Exact scale interpolation and endpoint operator transport

Statement

Assume AC. Let H,K be complex Hilbert spaces, possibly zero, with inner products linear in the first variable. Let A≥I and B≥I be positive self-adjoint operators on H and K, respectively. Form the completed spectral scales HAs and KBs, s∈R, by completing D(A∞)=⋂n≥1D(An) and D(B∞)=⋂n≥1D(Bn) in the norms ∥As/2u∥H and ∥Bs/2v∥K, respectively, and use the admissible complex strip interpolation norm. For any real a,b and 0<θ<1 there is the canonical isometric identity [HAa,HAb]θ=HA(1−θ)a+θb. For real a0,a1,b0,b1, a consistent complex-linear operator L on HAa0+HAa1 whose restrictions map HAaj boundedly to KBbj with bounds Mj≥0 satisfies ∥Lu∥KB(1−θ)b0+θb1≤M01−θM1θ∥u∥HA(1−θ)a0+θa1 for every u∈HA(1−θ)a0+θa1. Consistency means the restrictions agree on the intersection and define one map into the target sum. The zero-bound convention is 0t=0 for t>0.

Facts & Assumptions

[F1]

Unitary scale shifts identify each ordered scale couple with a pivot and a power domain, with exact endpoint norms Spectral cutoff cores and unitary identifications of completed scales.

[F2]

The admissible strip convention and its explicit analytic profiles define the interpolation space Admissible spectral strip profiles and the exact interpolation upper bound.

[F3]

The cutoff dual argument supplies the isometric identity for a pivot and a positive self-adjoint operator domain Spectral cutoff dual tests and the exact interpolation lower bound.

[F4]

Positive real powers of a positive self-adjoint operator are self-adjoint and satisfy the exact spectral multiplier domains. On the zero Hilbert space all spectral multipliers are the unique full-domain operator Unbounded Borel functional calculus: domains, products, spectral mapping.

[F5]

AC is assumed for the underlying spectral calculus The Axiom of Choice.

[F6]

A complex Hilbert space is a complex inner-product space complete in its induced norm Hilbert space.

[F7]

A completion of a normed space is a Banach space with a dense linear isometric embedding of that space Completion of a normed space.

[F8]

A densely defined operator is self-adjoint when it equals its adjoint, with the same domain and values Symmetric, self-adjoint and essentially self-adjoint operators. The countable-choice hypothesis of this definition follows from the assumed AC: apply AC to the family of values of a sequence of nonempty sets and compose the choice function with that sequence The Axiom of Choice.

Proof

Given: The data and AC in the statement.

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

1.1givenF2F4F6F7F8

On the zero Hilbert space the unique full-domain operator is self-adjoint, and all its powers act on {0} by [F4]. Thus its smooth core is {0}. Its completion at any real scale index is again {0}: the dense isometric image of the zero space consists only of zero, and a nonzero vector of norm r>0 would have a ball of radius r/2 disjoint from that image. For the zero endpoint couple the only strip function is zero, so its interpolation space is {0} with its unique norm. This proves the scale identity whenever H={0}, and the same reasoning applies to K. If either H={0} or K={0}, the operator L has zero image and the claimed estimate is 0≤0 or 0≤M01−θM1θ∥u∥, respectively. Hence the operator estimate is also established in every such case. For the remaining arguments assume H,K≠{0}.

1.2F1F2F3F4F5F6F8

Suppose a≤b, and write d=(b−a)/2. The unitary Ja maps the endpoint couple isometrically and consistently to (H,D(T)) for T=Ad≥I with norm ∥Tv∥. The Borel calculus gives self-adjointness of T and Tθ=Adθ. Applying this common map and its inverse to strip functions preserves holomorphy, continuity, decay and both endpoint norms. The pivot/domain identity therefore gives [HAa,HAb]θ=HAa+2dθ with identical norms. If a=b, use T=I. If a>b, F(z)↦F(1−z) is an isometry between the admissible classes with swapped endpoints, and evaluates at 1−θ, proving the same formula.

2.1F1F2F3step 1.2∎

Endpoint boundedness makes L bounded between the sum spaces: for each decomposition u=u0+u1, its target sum norm is at most M0∥u0∥+M1∥u1∥, so at most max⁡(M0,M1)∥u∥sum after infimizing. Thus composition with L preserves sum-valued holomorphy and continuity; endpoint boundedness preserves boundary continuity and decay. For δ>0 put mj=Mj+δ>0. If F(θ)=u, the strip function G(z)=(m0/m1)z−θLF(z) is admissible in the target, has G(θ)=Lu, and has boundary norms at most m01−θm1θ∥F∥F: on boundary zero multiply M0 by (m0/m1)−θ and on boundary one multiply M1 by (m0/m1)1−θ. The scalar factor is bounded on the strip, since the ratio is positive real. Taking the infimum in F and then δ↓0 gives the asserted norm bound, including Mj=0. The target and source norms in this calculation are exactly those in step 1.2.

Depends on

Used by · 2

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