Manuscript Oai290-A@1 · Oai290-A.tex · theorem · 7c6e104a

Theorem: Bounded modular-band witnesses

A separately typed modular bounded-witness module › The attributed bounded-witness theorem · lines 1349–1532 · proof included or linked

Oai290-A@1#thm:bounded, Oai290-A@1#eq:positiveaverage, Oai290-A@1#eq:twomasses, Oai290-A@1#eq:continuousmoments, Oai290-A@1#eq:finitemoments

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Assume (eq:scalarcentralizer). Fix , , and the mean above. Let tend to zero, and let unit vectors have -support in . If

then a subsequence has and constants such that

This is the bounded-recovery statement of OpenAI29002 (Theorem 4.1); the proof below follows its supplied construction.

Proof. Choose with , on , and support in . Write . For , set

Then , and

Pass to a subsequence on which the averages in (eq:positiveaverage) are at least for some . Density of , filtering by , and normalization give satisfying

and, by sufficiently close approximation,

Here the averaged-seminorm difference is bounded by . Discard finitely many terms so that . The modular identity yields

There is no uniform bound on .

Fix , write , and define

The functional is a normal state. By Lemma lem:ergodic,

Although varies with ,

Thus, with this fixed, all sufficiently large satisfy

and hence

The positive ultrafilter average ensures that the set of with

belongs to . It meets the cofinite set on which (eq:continuousmoments) holds.

For one such , approximate the three continuous scalar integrands

on the compact interval or square by one common finite partition. Strong-star continuity on bounded sets justifies these approximations. This gives and weights , , with

such that

The times and weights may depend on ; do not.

Let be independent uniform circle phases and put . Its vector remains in the band of radius , and

Expanding the fourth moment, the two surviving phase pairings give

The subtracted terms are positive, so . This is the circle-phase fourth-moment device underlying the Haagerup–Musat construction HaagerupMusat.

For polar decomposition , truncate at a fixed :

Then

Set . Every realization satisfies

Since fixes ,

Therefore

Choose once and for all . The resulting average is at least .

The phase torus is compact. The truncation is norm continuous, because

Filtering is bounded linear, so attains a maximum at least its expectation. Choose one maximizing realization for each . It gives , , and band radius .

Displayed formulas in this passage

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