Testability of relations between permutations

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Authors Oren Becker, Alexander Lubotzky, Jonathan Mosheiff arXiv ID 2011.05234 Category cs.DS: Data Structures & Algorithms Cross-listed math.CO, math.GR Citations 2 Venue IEEE Annual Symposium on Foundations of Computer Science Last Checked 4 months ago
Abstract
We initiate the study of property testing problems concerning relations between permutations. In such problems, the input is a tuple $(Οƒ_1,\dotsc,Οƒ_d)$ of permutations on $\{1,\dotsc,n\}$, and one wishes to determine whether this tuple satisfies a certain system of relations $E$, or is far from every tuple that satisfies $E$. If this computational problem can be solved by querying only a small number of entries of the given permutations, we say that $E$ is testable. For example, when $d=2$ and $E$ consists of the single relation $\mathsf{XY=YX}$, this corresponds to testing whether $Οƒ_1Οƒ_2=Οƒ_2Οƒ_1$, where $Οƒ_1Οƒ_2$ and $Οƒ_2Οƒ_1$ denote composition of permutations. We define a collection of graphs, naturally associated with the system $E$, that encodes all the information relevant to the testability of $E$. We then prove two theorems that provide criteria for testability and non-testability in terms of expansion properties of these graphs. By virtue of a deep connection with group theory, both theorems are applicable to wide classes of systems of relations. In addition, we formulate the well-studied group-theoretic notion of stability in permutations as a special case of the testability notion above, interpret all previous works on stability as testability results, survey previous results on stability from a computational perspective, and describe many directions for future research on stability and testability.
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