Peter Mayr 0001

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6ranked-venue papers
1as first author
2since 2021 · last 2023
0000-0003-1163-313XORCID · verified

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Theory of computation · 6 · 1 first-author · 2 since 2021
YearPublicationVenuePosition
2023 On the Complexity Dichotomy for the Satisfiability of Systems of Term Equations over Finite Algebras
Peter Mayr 0001
MFCS1
2022 Small Promise CSPs that reduce to large CSPs
abstract
For relational structures A, B of the same signature, the Promise Constraint Satisfaction Problem PCSP(A,B) asks whether a given input structure maps homomorphically to A or does not even map to B. We are promised that the input satisfies exactly one of these two cases. If there exists a structure C with homomorphisms $A\to C\to B$, then PCSP(A,B) reduces naturally to CSP(C). To the best of our knowledge all known tractable PCSPs reduce to tractable CSPs in this way. However Barto showed that some PCSPs over finite structures A, B require solving CSPs over infinite C. We show that even when such a reduction to finite C is possible, this structure may become arbitrarily large. For every integer $n>1$ and every prime p we give A, B of size n with a single relation of arity $n^p$ such that PCSP(A, B) reduces via a chain of homomorphisms $ A\to C\to B$ to a tractable CSP over some C of size p but not over any smaller structure. In a second family of examples, for every prime $p\geq 7$ we construct A, B of size $p-1$ with a single ternary relation such that PCSP(A, B) reduces via $A\to C\to B$ to a tractable CSP over some C of size p but not over any smaller structure. In contrast we show that if A, B are graphs and PCSP(A,B) reduces to tractable CSP(C) for some finite digraph C, then already A or B has a tractable CSP. This extends results and answers a question of Deng et al.
Alexandr Kazda, Peter Mayr 0001, Dmitriy Zhuk
Log. Methods Comput. Sci.2
2019 The Subpower Membership Problem for Finite Algebras with Cube Terms
abstract
The subalgebra membership problem is the problem of deciding if a given element belongs to an algebra given by a set of generators. This is one of the best established computational problems in algebra. We consider a variant of this problem, which is motivated by recent progress in the Constraint Satisfaction Problem, and is often referred to as the Subpower Membership Problem (SMP). In the SMP we are given a set of tuples in a direct product of algebras from a fixed finite set $\mathcal{K}$ of finite algebras, and are asked whether or not a given tuple belongs to the subalgebra of the direct product generated by a given set. Our main result is that the subpower membership problem SMP($\mathcal{K}$) is in P if $\mathcal{K}$ is a finite set of finite algebras with a cube term, provided $\mathcal{K}$ is contained in a residually small variety. We also prove that for any finite set of finite algebras $\mathcal{K}$ in a variety with a cube term, each one of the problems SMP($\mathcal{K}$), SMP($\mathbb{HS} \mathcal{K}$), and finding compact representations for subpowers in $\mathcal{K}$, is polynomial time reducible to any of the others, and the first two lie in NP.
Andrei A. Bulatov, Peter Mayr 0001, Ágnes Szendrei
Log. Methods Comput. Sci.2
2016 Quantified Constraint Satisfaction on Monoids
abstract
We contribute to a research program that aims to classify, for each finite structure, the computational complexity of the quantified constraint satisfaction problem on the structure. Employing an established algebraic viewpoint to studying this problem family, whereby this classification program can be phrased as a classification of algebras, we give a complete classification of all finite monoids.
Hubie Chen, Peter Mayr 0001
CSL2
2001 Algorithms for Finite Near-rings and their N-groups
Franz Binder, Peter Mayr 0001
J. Symb. Comput.2
2000 Algorithms for near-rings of non-linear transformations
abstract
In this note we present some algorithms to deal with nearrings, the appropriate algebraic structure to study non-linear functions. This is similar the role of rings in the theory of linear functions or that of groups for permutations. In particular, we give efficient algorithms that deal with big nearrings that are given by a small set of generators. In this context, generating involves composition as well as point-wise addition. In the extreme case, one transformation of a group of order n can generate a set of up to nn transformations.
Franz Binder, Erhard Aichinger, Jürgen Fuß, Christof Nöbauer, Peter Mayr 0001
ISSAC5