Convergence of the Probabilistic Interpretation of Modulus
Nathan Albin, Joan Lind, Pietro Poggi-Corradini

TL;DR
This paper demonstrates that extremal curves related to the modulus of curve families in Jordan domains can be approximated by discrete paths from orthodiagonal maps, with convergence of associated probability measures and discrete modulus to their continuous counterparts.
Contribution
It introduces an algorithm for path decomposition in planar graphs and proves the convergence of discrete modulus and probability measures to their continuous analogs in orthodiagonal approximations.
Findings
Discrete extremal curves approximate continuous extremal curves.
Probability mass functions on discrete paths converge to transverse measures.
Discrete modulus converges to continuous modulus in orthodiagonal settings.
Abstract
Given a Jordan domain and two disjoint arcs on , the modulus of the curve family connecting and in is equal to the modulus of the curve family connecting the vertical sides in the rectangle . Also, is the unique value such that there is a conformal map mapping to so that extends continuously to a homeomorphism of onto and the arcs and are sent to the vertical sides of . Moreover, in the case of the rectangle the family of horizontal segments connecting the two sides has the same modulus as the entire connecting family. Pulling these segments back to via yields a family of extremal curves (also known as horizontal trajectories) connecting to in . In this paper, we show that these…
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Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Topological and Geometric Data Analysis · Mathematical Approximation and Integration
