On p -Group Isomorphism: search-to-decision, counting-to-decision, and nilpotency class reductions via tensors

IF 0.8 Q3 COMPUTER SCIENCE, THEORY & METHODS ACM Transactions on Computation Theory Pub Date : 2023-09-24 DOI:10.1145/3625308
Joshua A. Grochow, Youming Qiao
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Abstract

In this paper we study some classical complexity-theoretic questions regarding G roup I somorphism (G p I). We focus on p -groups (groups of prime power order) with odd p , which are believed to be a bottleneck case for G p I, and work in the model of matrix groups over finite fields. Our main results are as follows. • Although search-to-decision and counting-to-decision reductions have been known for over four decades for G raph I somorphism (GI), they had remained open for G p I, explicitly asked by Arvind & Torán (Bull. EATCS, 2005). Extending methods from T ensor I somorphism (Grochow & Qiao, ITCS 2021), we show moderately exponential-time such reductions within p -groups of class 2 and exponent p . • D espite the widely held belief that p -groups of class 2 and exponent p are the hardest cases of GpI, there was no reduction to these groups from any larger class of groups. Again using methods from Tensor Isomorphism (ibid.), we show the first such reduction, namely from isomorphism testing of p -groups of “small” class and exponent p to those of class two and exponent p . For the first results, our main innovation is to develop linear-algebraic analogues of classical graph coloring gadgets, a key technique in studying the structural complexity of GI . Unlike the graph coloring gadgets, which support restricting to various subgroups of the symmetric group, the problems we study require restricting to various subgroups of the general linear group, which entails significantly different and more complicated gadgets. The analysis of one of our gadgets relies on a classical result from group theory regarding random generation of classical groups (Kantor & Lubotzky, Geom. Dedicata, 1990). For the nilpotency class reduction, we combine a runtime analysis of the Lazard correspondence with T ensor I somorphism -completeness results (Grochow & Qiao, ibid.).
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论p群同构:通过张量的搜索-决策、计数-决策和幂零类约简
本文研究了关于G群I同构(g1 I)的几个经典的复杂性理论问题,重点研究了p为奇数的p群(素数幂次群),这被认为是g1 I的瓶颈情况,并在有限域上的矩阵群模型中工作。我们的主要结果如下。•尽管从搜索到决策和从计数到决策的约简在四十多年前就已经为GI同构(GI)所知,但它们仍然对GI开放,Arvind &托兰(公牛。EATCS, 2005)。从T传感器I同构(Grochow &乔,ITCS 2021),我们在类2和指数p的p -组内显示出适度的指数时间缩减。•D尽管人们普遍认为2类p -群和p指数是GpI的最困难的情况,但这些群体并没有从任何更大的群体中减少。再次使用张量同构的方法(同上),我们展示了第一个这样的约化,即从“小”类和指数p的p -群的同构检验到类和指数p的同构检验。对于第一个结果,我们的主要创新是开发经典图形着色小工具的线性代数类似物,这是研究GI结构复杂性的关键技术。与图上色小工具支持对对称群的各种子群的限制不同,我们研究的问题需要对一般线性群的各种子群进行限制,这就涉及到明显不同且更复杂的小工具。对我们的一个小工具的分析依赖于关于经典群随机生成的群论的经典结果(Kantor &Lubotzky,几何学。学报,1990)。对于幂零类约简,我们将Lazard对应的运行时分析与T传感器I同构完备性结果(Grochow &乔,出处同上)。
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来源期刊
ACM Transactions on Computation Theory
ACM Transactions on Computation Theory COMPUTER SCIENCE, THEORY & METHODS-
CiteScore
2.30
自引率
0.00%
发文量
10
期刊最新文献
Tight Sum-of-Squares lower bounds for binary polynomial optimization problems Optimal Polynomial-time Compression for Boolean Max CSP On p -Group Isomorphism: search-to-decision, counting-to-decision, and nilpotency class reductions via tensors Quantum communication complexity of linear regression Sparsification Lower Bounds for List H -Coloring
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