2019
DOI: 10.48550/arxiv.1909.12256
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Circuit equivalence in 2-nilpotent algebras

Piotr Kawałek,
Michael Kompatscher,
Jacek Krzaczkowski

Abstract: The circuit equivalence problem of a finite algebra A is the computational problem of deciding whether two circuits over A define the same function or not. This problem not just generalises the equivalence problem for Boolean circuits, but is also of high interest in universal algebra, as it models the problems of checking identities in A. In this paper we discuss the complexity for algebras from congruence modular varieties. A partial classification was already given in [11], leaving essentially only a gap fo… Show more

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Cited by 2 publications
(2 citation statements)
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“…However, this left an intriguing gap for nilpotent, but not supernilpotent Maltsev algebras (see Problem 2 in [IK18]). Although such algebras admit non-trivial absorbing polynomials of all arities, there are some known examples A, for which CSAT(A) and CEQV(A) are solvable in polynomial time (see [IKK18,KKK19]). An explanation for this seemingly contradictory phenomenon is, that these non-trivial absorbing polynomials cannot be efficiently represented by circuits.…”
Section: Introductionmentioning
confidence: 99%
“…However, this left an intriguing gap for nilpotent, but not supernilpotent Maltsev algebras (see Problem 2 in [IK18]). Although such algebras admit non-trivial absorbing polynomials of all arities, there are some known examples A, for which CSAT(A) and CEQV(A) are solvable in polynomial time (see [IKK18,KKK19]). An explanation for this seemingly contradictory phenomenon is, that these non-trivial absorbing polynomials cannot be efficiently represented by circuits.…”
Section: Introductionmentioning
confidence: 99%
“…Several articles considering this new approach to solving equations have appeared e.g. [24], [17], [1], [21], [23], [18]. In this paper we will present the results in terms of Csat, however for clarity we mention, that all the algorithms and upper bounds presented here apply also to the original definition of the problem as polynomials can be represented by circuits expanding size of the representation only by constant factor.…”
Section: Introductionmentioning
confidence: 99%