Cohomological ideas have recently been injected into persistent homology and have been utilized for both enriching and accelerating the calculation of persistence diagrams. For instance, the software Ripser fundamentally exploits the computational advantages offered by cohomological ideas. The cup product operation which is available at cohomology level gives rise to a graded ring structure which extends the natural vector space structure and is therefore able to extract and encode additional rich information. The maximum number of cocycles having non-zero cup product yields an invariant, the Cup-Length, which is efficient at discriminating spaces. In this paper, we lift the cup-length into the Persistent Cup-Length invariant for the purpose of extracting non-trivial information about the evolution of the cohomology ring structure across a filtration. We show that the Persistent Cup-Length can be computed from a family of representative cocycles and devise a polynomial time algorithm for the computation of the Persistent Cup-Length invariant. We furthermore show that this invariant is stable under suitable interleaving-type distances. Along the way, we identify an invariant which we call the Cup-Length Diagram, which is stronger than persistent cup-length but can still be computed efficiently.
翻译:最近,共振思想被注入了持久性同族学中,并被用于丰富和加快持久性图表的计算。例如,软件开膛手从根本上利用共振思想提供的计算优势。在共振水平上提供的杯产品操作产生了一个分级环结构,扩展了天然矢量空间结构,因此能够提取和编码更多的丰富信息。具有非零杯产品的双轮循环的最大数量会产生一种变数,即对差异空间具有效率的杯点。在本文中,我们将杯长提升到持久性杯点变异状态,以便提取关于跨过滤的共振环结构演变的非三角信息。我们表明,可从具有代表性的循环组中计算出持久性杯点,并为计算持久性杯点-变异状态设计一个多元时间算法。我们进一步表明,这种变异状态在适当的杯点间间隔下是稳定的,但这种变异状态仍是更强的。我们不断确认的杯点位数,在不断的杯位上,我们仍然可以确定一个更强的杯位数。