2024/03/17 by Ievgen Bondarenko, Bondarenko, Ievgen
Computer Science · Mathematics · #03D10 #20E08 #20F10 #68Q70 #Complexity and Algorithms in Graphs #FOS: Computer and information sciences #FOS: Mathematics #Formal Languages and Automata Theory (cs.FL) #Geometric and Algebraic Topology #Group Theory (math.GR) #semigroups and automata theory
paper · pdf · doi:10.48550/arxiv.2403.11148
openalex publication_date 2024/03/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Let WPG denote the word problem in a finitely generated group G. We consider the complexity of WPG with respect to standard deterministic Turing machines. Let DTIMEk(t(n)) be the complexity class of languages solved in time O(t(n)) by a Turing machine with k tapes. We prove that WPG\inDTIME1(nlog n) if and only if G is virtually nilpotent. We relate the complexity of the word problem and the growth of groups by showing that WPG\not∈ DTIME1(o(nlogγ(n))), where γ(n) is the growth function of G. We prove that WPG\inDTIMEk(n) for strongly contracting automaton groups, WPG\inDTIMEk(nlog n) for groups generated by bounded automata, and WPG\inDTIMEk(n(log n)d) for groups generated by polynomial automata. In particular, for the Grigorchuk group, WPG\not\inDTIME1(n1.7674) and WPG\inDTIME1(n2).