Coincidence and Self-coincidence of Many Maps between Digital Images
Muhammad Sirajo Abdullahi, Poom Kumam, Isah Abor Garba

TL;DR
This paper extends properties of coincidence and fixed point sets from pairs of digitally continuous maps to multiple maps, exploring the effects of rigidity and digital topology on these sets and comparing with classical Nielsen results.
Contribution
It generalizes coincidence properties to multiple digitally continuous maps and examines the influence of rigidity and digital topology on these sets.
Findings
Generalized coincidence point set properties for multiple maps
Analyzed the impact of rigidity on coincidence sets
Compared digital topology results with classical Nielsen theory
Abstract
The aim of this paper is to generalize some of the properties and results regarding both the coincidence point set and the common fixed point set of any two digitally continuous maps to the case of several (more than two) digitally continuous mappings. Moreover, we study how rigidity may affect these coincidence and homotopy coincidence point sets. Also, we investigate whether an established result by Staecker in Nielsen classical topology regarding the coincidence set for many maps still remains valid in the digital topological setting.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDigital Image Processing Techniques · Medical Image Segmentation Techniques · Topological and Geometric Data Analysis
