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arXiv:2611.11488 · v1

A note on exact external information complexity

首次提交 2026-11-09 00:29
版本更新 2026-11-09 00:29
雷达观测 2026-11-10 12:16
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摘要

We study the prior-free zero-error private-coin external information complexity B(f)B(f) of finite two-party functions, with correctness on every input. An elementary rectangle/entropy argument gives B(AND)=log⁡23B(\mathsf{AND})=\log_2 3. A complete classification of Boolean 3×33\times3 matrices leaves, up to input permutations and output complementation, only the two-overlapping-rectangles function FF without an exact value. An entropy potential and a finite rational protocol give 2.1212661667060486842…≤B(F)<2.1309983182.1212661667060486842\ldots\le B(F)<2.130998318. We also determine its deterministic external information and zero-error communication costs. A separate product-prior certificate and internal-information additivity yield R0pub(F×t)≥2.021991187178562… tR_0^{\mathrm{pub}}(F^{\times t})\ge2.021991187178562\ldots\,t, strictly exceeding the fractional-cover rate 2t2t.

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v1 · 2026-11-09 00:29 · 最新观测版本

A note on exact external information complexity

We study the prior-free zero-error private-coin external information complexity B(f)B(f) of finite two-party functions, with correctness on every input. An elementary rectangle/entropy argument gives B(AND)=log⁡23B(\mathsf{AND})=\log_2 3. A complete classification of Boolean 3×33\times3 matrices leaves, up to input permutations and output complementation, only the two-overlapping-rectangles function FF without an exact value. An entropy potential and a finite rational protocol give 2.1212661667060486842…≤B(F)<2.1309983182.1212661667060486842\ldots\le B(F)<2.130998318. We also determine its deterministic external information and zero-error communication costs. A separate product-prior certificate and internal-information additivity yield R0pub(F×t)≥2.021991187178562… tR_0^{\mathrm{pub}}(F^{\times t})\ge2.021991187178562\ldots\,t, strictly exceeding the fractional-cover rate 2t2t.

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