Abstract

The Thompson–Higman groups Gk,ihave a natural generalization to monoids, called Mk,i, and inverse monoids, called Invk,i. We study some structural features of Mk,iand Invk,iand investigate the computational complexity of related decision problems. The main interest of these monoids is their close connection with circuits and circuit complexity.The maximal subgroups of Mk,1and Invk,1are isomorphic to the groups Gk,j(1 ≤ j ≤ k - 1); so we rediscover all the Thompson–Higman groups within Mk,1.Deciding the Green relations [Formula: see text] and [Formula: see text] of Mk,1, when the inputs are words over a finite generating set of Mk,1, is in P.When a circuit-like generating set is used for Mk,1then deciding [Formula: see text] is coDP-complete (where DP is the complexity class consisting of differences of sets in NP). The multiplier search problem for [Formula: see text] is xNPsearch-complete, whereas the multiplier search problems of [Formula: see text] and [Formula: see text] are not in xNPsearch unless NP = coNP. The class of search problems xNPsearch is introduced as a slight generalization of NPsearch.Deciding [Formula: see text] for Mk,1when the inputs are words over a circuit-like generating set, is ⊕k-1• NP -complete; for any h ≥ 2, ⊕h•NP is a modular counting complexity class, whose verification problems are in NP. Related problems for partial circuits are the image size problem (which is # • NP-complete), and the image size modulo h problem (which is ⊕h•NP-complete). For Invk,1over a circuit-like generating set, deciding [Formula: see text] is ⊕k-1P-complete. It is interesting that the little known complexity classes coDP and ⊕k-1•NP play a central role in Mk,1.

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