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Predicting Diagonalizability of a Mean Matrix

The general principle is the interesting part: every semialgebraic property of a bounded fixed-dimensional mean parameter is eventually almost surely predictable. Against merely integrable matrix laws it fails from dimension two.

Exact FrontierDelta

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Occurred: Aug 11, 2026

Delta type: SOURCE CLAIM

Assumptions: VibeMathed verification: unreviewed. Publication: preprint. AI contribution: ai-discovered. Imported under CC BY 4.0.

Canonical aliases: Predicting Diagonalizability of a Mean Matrix · Diagonalizability prediction

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Registry verification: unreviewed · preprint · resolved

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VibeMathed
registry · event recorded by

Jinze Zhao
human · human collaborator

GPT-5.6 Sol Ultra
model · ai model contributor · OpenAI

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This event attributed to Jinze Zhao

This event attributed to GPT-5.6 Sol Ultra

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Predicting Diagonalizability of a Mean Matrix — Mathematical Frontier Network