Separating Non-redundancy and Chain Length

📅 2026-09-15
📈 Citations: 0
Influential: 0
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🤖 AI Summary
研究通过构造一个四元关系,证明了约束满足问题中链长度与非冗余度之间的渐近分离。
📝 Abstract
For a constraint satisfaction problem defined by a relation $R$, its non-redundancy $\text{NRD}(R,n)$ is the size of largest instance (as a function of the number $n$ of variables) for which no constraint is implied by the rest. Its chain length $\text{CL}(R,n)$ is the largest such instance where the constraints can be ordered so that no constraint is implied by the preceding ones. Clearly $\text{CL}(R,n) \ge \text{NRD}(R,n)$ but so far no asymptotic separation was known between these quantities. We exhibit an explicit arity $4$ relation for which $\text{CL}(R,n) \ge ω(\text{NRD}(R,n))$.
Problem

Research questions and friction points this paper is trying to address.

constraint satisfaction problem
non-redundancy
chain length
asymptotic separation
Innovation

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constraint satisfaction problem
non-redundancy
chain length
asymptotic separation
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