PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
September 10, 2025Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences2 citations

Harmonic-measure distribution functions of multiply connected domains with various geometries

View Full Paper
CGChristopher C. GreenWichita State UniversityAMArunmaran MahenthiramUniversity of JaffnaLWLesley A. WardUniversity of South Australia

Key Points

  • The study develops analytical formulas for h-functions of both rectilinear slit and circular domains.
  • Key findings reveal how basepoint location affects probability distribution in Brownian motion scenarios.
  • Utilizing the Schottky-Klein prime function implicated significant advances in conformal mappings.
  • Results provide solutions for variants of the Skorokhod embedding problem, enhancing the understanding of complex geometries.

Abstract

The harmonic-measure distribution functions, or h -functions, associated with several classes of planar multiply connected domains Ω ⊂ C and basepoint z 0 ∈ Ω locations are the principal objects of consideration in this paper. The h -function with respect to Ω and z 0 encodes the probability that a particle undergoing Brownian motion in Ω first collides with the boundary ∂ Ω within a certain distance from the basepoint z 0 where it was initially released. Recently, Green et al. (Green et al. 2022 Proc. R. Soc. A 478 , 20210832. ( doi:10.1098/rspa.2021.0832 )) derived the first explicit formulae for the h -functions of multiply connected symmetrical rectilinear slit domains. In this paper, we generalize and extend the h -function calculations in Green et al. by considering various types of planar domains—those whose boundaries consist of either rectilinear slits or circles—as well as different locations of the basepoint. Throughout, we make judicious use of the Schottky-Klein prime function and its associated theory to derive analytical formulae for the h -functions. Our examples yield solutions to instances of a variant of the conformal Skorokhod embedding problem.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Green et al. (2025) studied this question.

synapsesocial.com/papers/68c183f89b7b07f3a060fe15https://doi.org/10.1098/rspa.2024.0392
Ask AI
Helpful
Bookmark
Share
View Full Paper