We investigate the stability of persistence diagrams under non-uniform scaling transformations in . Given a finite metric space with Euclidean distance , and scaling factors applied to each coordinate, we derive explicit bounds on the bottleneck distance between the persistence diagrams of and its scaled version . Specifically, we show that where and are the smallest and largest scaling factors, respectively, and is the diameter of . We extend this analysis to higher-dimensional homological features, alternative metrics such as the Wasserstein distance, and iterative or probabilistic scaling scenarios. Our results provide a framework for quantifying the effects of non-uniform scaling on persistence diagrams.

生成讲解博客的中文版本

生成AI智能校验的中文版本