The geometry of multi-marginal Skorokhod Embedding
Mathias Beiglboeck, Alexander Cox, Martin Huesmann

TL;DR
This paper extends the geometric theory of the Skorokhod Embedding Problem to the multi-marginal case, revealing a unified structure that encompasses classical solutions and impacts related areas like martingale transport and peacock problems.
Contribution
It develops a comprehensive geometric framework for multi-marginal Skorokhod embeddings, generalizing classical solutions and connecting them through a joint structure.
Findings
Unified geometric structure for multi-marginal embeddings
Classical solutions have natural multi-marginal counterparts
Implications for martingale transport and peacock problems
Abstract
The Skorokhod Embedding Problem (SEP) is one of the classical problems in the study of stochastic processes, with applications in many different fields (cf.~ the surveys \cite{Ob04,Ho11}). Many of these applications have natural multi-marginal extensions leading to the \emph{(optimal) multi-marginal Skorokhod problem} (MSEP). Some of the first papers to consider this problem are \cite{Ho98b, BrHoRo01b, MaYo02}. However, this turns out to be difficult using existing techniques: only recently a complete solution was be obtained in \cite{CoObTo15} establishing an extension of the Root construction, while other instances are only partially answered or remain wide open. In this paper, we extend the theory developed in \cite{BeCoHu14} to the multi-marginal setup which is comparable to the extension of the optimal transport problem to the multi-marginal optimal transport problem. As for the…
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
TopicsMarkov Chains and Monte Carlo Methods · Geometric Analysis and Curvature Flows · Stochastic processes and financial applications
