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arXiv 2206.03465math.COcs.ITmath.IT

拟阵的熵表示与几乎多重线性表示

On entropic and almost multilinear representability of matroids

Universität Bielefeld(比勒费尔德大学);The Hebrew University of Jerusalem(耶路撒冷希伯来大学)

Lukas Kühne, Geva Yashfe

AI总结:

本文通过将群论中的不可判定问题归约到拟阵表示问题,证明了判定拟阵是否具有熵表示或几乎多重线性表示是不可判定的,并由此得出条件独立蕴涵问题及理想秘密共享方案存在性问题的不可判定性。

摘要:

本文研究了由算法信息论和密码学秘密共享所启发的两种广义拟阵表示概念。第一种(熵表示)涉及离散随机变量,而第二种(几乎多重线性表示)处理近似子空间排列。在这两种情况下,我们证明了判定一个输入拟阵是否具有这样的表示是不可判定的。因此,条件独立蕴涵问题也是不可判定的,这为Geiger和Pearl提出的一个问题提供了一个独立的答案,该问题最近由Cheuk Ting Li解决。这些问题也与网络编码中可达速率的刻画和秘密共享方案的构造密切相关。例如,我们工作的另一个推论是,判定一个访问结构是否允许理想秘密共享方案是不可判定的。我们的方法将群论中的不可判定问题归约到拟阵表示问题。具体地,我们将有限群的均匀字问题归约到熵表示,将sofic群的字问题归约到几乎多重线性表示。这一归约的关键部分涉及将群表示修改为在生成元集上线性表示在适当意义下是通用的形式。

英文摘要:

This article studies two notions of generalized matroid representations motivated by algorithmic information theory and cryptographic secret sharing. The first (entropic representability) involves discrete random variables, while the second (almost-multilinear representability) deals with approximate subspace arrangements. In both cases, we prove that determining whether an input matroid has such a representation is undecidable. Consequently, the conditional independence implication problem is also undecidable, providing an independent answer to a question posed by Geiger and Pearl, recently resolved by Cheuk Ting Li. These problems are also closely related to characterizing achievable rates in network coding and constructing secret sharing schemes. For example, another corollary of our work is that deciding whether an access structure admits an ideal secret sharing scheme is undecidable. Our approach reduces undecidable problems from group theory to matroid representation problems. Specifically, we reduce the uniform word problem for finite groups to entropic representability and the word problem for sofic groups to almost-multilinear representability. A key part of this reduction involves modifying group presentations into forms where linear representations are generic in an appropriate sense when restricted to the generating set.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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