In standard persistent homology, a persistent cycle born and dying with a persistence interval (bar) associates the bar with a concrete topological representative, which provides means to effectively navigate back from the barcode to the topological space. Among the possibly many, optimal persistent cycles bring forth further information due to having guaranteed quality. However, topological features usually go through variations in the lifecycle of a bar which a single persistent cycle may not capture. Hence, for persistent homology induced from PL functions, we propose levelset persistent cycles consisting of a sequence of cycles that depict the evolution of homological features from birth to death. Our definition is based on levelset zigzag persistence which involves four types of persistence intervals as opposed to the two types in standard persistence. For each of the four types, we present a polynomial-time algorithm computing an optimal sequence of levelset persistent $p$-cycles for the so-called weak $(p+1)$-pseudomanifolds. Given that optimal cycle problems for homology are NP-hard in general, our results are useful in practice because weak pseudomanifolds do appear in applications. Our algorithms draw upon an idea of relating optimal cycles to min-cuts in a graph that we exploited earlier for standard persistent cycles. Note that levelset zigzag poses non-trivial challenges for the approach because a sequence of optimal cycles instead of a single one needs to be computed in this case.
翻译:在标准的持久性同质学中,一个以持久性间隔(bar)为单位的持久性循环产生和死亡的持久性周期与一个具体的表层代表(bar)结合,它提供了有效从条形码返回到表层空间的手段。在可能的许多最佳的持久性周期中,由于质量有保障,可以产生进一步的信息。然而,在单一的持久性周期可能无法捕捉到的条条形生命周期中,地形特征通常会变化。因此,对于由PL函数引发的持久性同质循环,我们建议由一系列反映从出生到死亡的同质特征演变的周期组成的水平持续周期组成的水平周期。我们的定义基于一个等级的zigzag持久性,它涉及四种类型的持久性间隔,而不是两种标准的持久性的间隔。对于这四种类型中的每一类型,我们提出一种多元性时间算法,为所谓的弱(p+1)$-psupomomadanixy值的周期计算出一种最佳的周期。鉴于共性周期的最佳周期问题一般是NP-P,我们的结果在实践中是有用的,因为在应用中出现薄弱的伪质的假形的周期。我们算算学的周期,在一种最优的周期中,我们用一个标准的周期是用来研究的周期的周期的周期中,而不是一个不变的周期的周期,因为我们用一个不变的周期的周期的周期的周期是用来来进行我们的最佳的周期。