December 2024 Martingale transports and Monge maps
Marcel Nutz, Ruodu Wang, Zhenyuan Zhang
Author Affiliations +
Ann. Appl. Probab. 34(6): 5556-5577 (December 2024). DOI: 10.1214/24-AAP2099

Abstract

It is well known that martingale transport plans between marginals μν are never given by Monge maps—with the understanding that the map is over the first marginal μ, or forward in time. Here, we change the perspective, with surprising results. We show that any distributions μ, ν in convex order with ν atomless admit a martingale coupling given by a Monge map over the second marginal ν. Namely, we construct a particular coupling called the barcode transport. Much more generally, we prove that such “backward Monge” martingale transports are dense in the set of all martingale couplings, paralleling the classical denseness result for Monge transports in the Kantorovich formulation of optimal transport. Various properties and applications are presented, including a refined version of Strassen’s theorem and a mimicking theorem where the marginals of a given martingale are reproduced by a “backward deterministic” martingale, a remarkable type of process whose current state encodes its whole history.

Funding Statement

The first author was supported by NSF Grants DMS-1812661, DMS-2106056.
The second author was supported by NSERC Grant RGPIN-2018-03823 and Canada Research Chairs CRC-2022-00141.

Acknowledgments

We thank two anonymous referees for their careful reading of a previous version of this paper and for pointing out Remark 2.6.

Citation

Download Citation

Marcel Nutz. Ruodu Wang. Zhenyuan Zhang. "Martingale transports and Monge maps." Ann. Appl. Probab. 34 (6) 5556 - 5577, December 2024. https://doi.org/10.1214/24-AAP2099

Information

Received: 1 May 2023; Revised: 1 December 2023; Published: December 2024
First available in Project Euclid: 15 December 2024

Digital Object Identifier: 10.1214/24-AAP2099

Subjects:
Primary: 49N05 , 60E15 , 60G42

Keywords: backward Monge map , martingale transport , Strassen’s theorem

Rights: Copyright © 2024 Institute of Mathematical Statistics

Vol.34 • No. 6 • December 2024
Back to Top