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Detecting Unknots via Equational Reasoning, Ⅰ: Exploration

机译:通过方程式推理发现未知问题,Ⅰ:探索

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We explore the application of automated reasoning techniques to unknot detection, a classical problem of computational topology. We adopt a two-pronged experimental approach, using a theorem prover to try to establish a positive result (i.e. that a knot is the unknot), whilst simultaneously using a model finder to try to establish a negative result (i.e. that the knot is not the unknot). The theorem proving approach utilises equational reasoning, whilst the model finder searches for a minimal size counter-model. We present and compare experimental data using the involutary quandle of the knot, as well as comparing with alternative approaches, highlighting instances of interest. Furthermore, we present theoretical connections of the minimal countermodels obtained with existing knot invariants, for all prime knots of up to 10 crossings: this may be useful for developing advanced search strategies.
机译:我们探索了自动推理技术在未知拓扑(计算拓扑的经典问题)中的应用。我们采用两管齐下的实验方法,使用一个定理证明者试图建立一个积极的结果(即一个结是结),同时使用一个模型查找器试图建立一个消极的结果(即一个结不是结)。 unknot)。定理证明方法利用方程式推理,而模型查找器搜索最小尺寸的反模型。我们提出并比较了使用结的渐进量的实验数据,并与其他方法进行了比较,突出了感兴趣的实例。此外,我们提出了使用现有结不变式获得的最小反模型的理论联系,适用于最多10个交叉的所有主结:这对于开发高级搜索策略可能有用。

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