Scalar Transport #
Approximation numbers under a scalar transport #
TauCeti.ScalarTransport renames the scalar field of a Hilbert space without
touching its vectors, its norm, or its topology. Everything an approximation
number sees is therefore unchanged, and this file says so:
ScalarTransport.approximationNumber_clm.
The payoff is ContinuousLinearMap.hasMinMaxLowerBoundEverywhere, the instance at
an arbitrary RCLike field. That property was the one input to the
approximation-number localization theory that depended on the scalar field, with
instances at ℝ and at ℂ and nothing in between; RCLike has exactly those two
models, so the case split closes it.
Provenance #
- Original repository: Davis--Kahan/DKPS formalization (Kitware, Inc.).
- Original module: none. Written directly here, 2026-09-01.
- Extraction class: new. It completes
MinMaxReal: that module carries the min--max lower bound overℝby complexification, and this one carries it fromℝandℂto everyRCLikefield, which is what makesContinuousLinearMap.HasMinMaxLowerBoundEverywherean instance rather than a hypothesis. - Namespaces:
TauCeti.ScalarTransportfor the transport lemmas, andContinuousLinearMapfor the instance, which is a fact about aContinuousLinearMap. - Original authors / copyright: Jon Crall, Claude Opus 5; Copyright (c) 2026 Kitware, Inc.; Apache 2.0.
- Spectra influence: none.
The transport does not change an approximation number: it is an infimum of operator norms over the maps of bounded rank, and the transport is a rank-preserving, norm-preserving bijection of those.
Linear independence is unchanged: the two scalar actions differ by e.
Spans are unchanged: the transported span has the original carrier.
The min--max lower-bound property transports along an isomorphism of RCLike
fields: it mentions only approximation numbers, norms, linear independence and
spans, and the transport changes none of them.
The min--max lower-bound property holds at every RCLike field.
RCLike is an open class, but RCLike.I_eq_zero_or_im_I_eq_one says it has
exactly two models. Transporting a 𝕜-Hilbert space to the corresponding ℝ- or
ℂ-Hilbert space changes no vector, no norm, no approximation number, no linear
independence and no span, so the two fixed-field instances give the general one.
This removes [HasMinMaxLowerBoundEverywhere 𝕜] from every downstream statement
that carried it as a hypothesis.
The single-universe class form of hasMinMaxLowerBound_rclike, so that the
statements carrying [HasMinMaxLowerBoundEverywhere 𝕜] resolve it by instance
search rather than by hypothesis.
Ky Fan subadditivity on Hilbert spaces over any RCLike field.
The min--max localization is an internal theorem, not a public capability hypothesis.