Manuscript OpenAI@2026-10-07 · OpenAI.tex · remark · 6a931f8f
Remark: 140-04. Projection moments, positive cap domination, and Riesz estimates on the sphere
Manuscript map · lines 5125–5134
OpenAI@2026-10-07#rem:oai-p-140-04
Authors: OpenAI. Family 140.
Title: Projection moments, positive cap domination, and Riesz estimates on the sphere.
Abstract: We prove moment estimates for exact random projections of finite measures whose mass is controlled on Euclidean balls, and derive positive domination by countable sums of spherical cap measures. For learners with $M=o(d{}2)$ bits of memory, these estimates give three proofs that uniform-sphere average success at least 2/3 at angular accuracy $0{}lt {}epsilon{}le1/10$ requires ${}Omega(d{}log(1/{}epsilon))$ noiseless Gaussian observations. The three proofs keep their different stopping and accuracy costs explicit.
This abstract is a catalogue record. It is not a verification and not a premise. It does not close O.1. O.1 stays NOT_CLOSED. No quantum coefficient is admitted. No compilation is asserted.
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