Visibility property in one and several variables and its applications
Vikramjeet Singh Chandel, Sushil Gorai, Anwoy Maitra, Amar Deep, Sarkar

TL;DR
This paper investigates the visibility property related to the Kobayashi distance in complex domains, establishing new results on boundary removability, domain classifications, and extensions of conformal and biholomorphic maps, with implications for the MLC conjecture.
Contribution
It provides new characterizations of visibility in complex domains, including localization results, boundary extension conditions, and a reformulation of the MLC conjecture in terms of visibility.
Findings
Totally disconnected boundary sets are removable for visibility.
A domain is a local weak visibility domain iff it is a weak visibility domain.
Visibility implies compactness of the end topology.
Abstract
In this paper we report our investigations on visibility with respect to the Kobayashi distance and its applications, with a special focus on planar domains. We prove that totally disconnected subsets of the boundary are removable in the context of visibility. We also show that a domain in is a local weak visibility domain if and only if it is a weak visibility domain. The above holds also for visibility. Along the way, we prove an intrinsic localization result for the Kobayashi distance. Moreover, we observe some interesting consequences of weak visibility; for example, weak visibility implies compactness of the end topology of the closure of the domain. For planar domains: (i) We provide examples of visibility domains that are not locally Goldilocks at any boundary point. (ii) We provide certain general conditions on planar domains that yield the continuous extension of…
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
TopicsColor perception and design
