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arXiv 2202.04060math.GRcs.DS
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群与半群的流算法

Streaming algorithms for groups and semigroups

Universität Siegen(锡根大学)

Markus Lohrey, Lukas Lück, Alexander Thumm, Julio Xochitemol

AI总结:

研究群与半群中字问题的确定性和随机性流算法,提出区分器概念,构造低空间复杂度的区分器,适用于线性半群和某些构造得到的半群,并给出下界证明部分半群不支持亚线性空间区分器。

摘要:

我们研究有限生成群和半群中字问题的确定性和随机性流算法。为此,我们引入区分器的概念:一种随机流算法,可以并行处理两个输入词,并以高概率达到相同内存状态如果两个词代表相同元素,否则达到不同状态。我们利用对数级,有时是双对数级的空间构造此类区分器。例如,我们的结果适用于线性半群,以及通过标准构造(如图积、缠绕积和半格分解)获得的半群。在交换半群和可消去的 nilpotent 半群的情况下,我们实现了空间复杂度 $\mathcal{O}(\log \log n)$。我们用上界补充这些上界,证明某些著名的半群不支持亚线性空间区分器。这包括例如秩至少为二的自由逆半群和汤普森群 $F$。最后,我们研究自由群及其直积中的子群成员问题的随机流算法。

英文摘要:

We investigate deterministic and randomized streaming algorithms for word problems in finitely generated groups and semigroups. For this we introduce the notion of a distinguisher: a randomized streaming algorithm that processes two input words in parallel and, with high probability, reaches identical memory states if the words represent the same element, and distinct states otherwise. We construct such distinguishers with low error probability using logarithmic, and in some cases doubly logarithmic, space. For example, our results apply to linear semigroups and to semigroups obtained (under suitable restrictions) via standard constructions such as graph products, wreath products, and semilattice decompositions. In case of commutative semigroups and cancellative nilpotent semigroups, we achieve space complexity $\mathcal{O}(\log \log n)$. We complement these upper bounds with lower bounds demonstrating that certain well-known semigroups do not admit sublinear-space distinguishers. This includes, for example, free inverse monoids of rank at least two and Thompson's group $F$. Finally, we study randomized streaming algorithms for subgroup membership problems in free groups and their direct products.

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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