STABILITY OF MARTINGALE OPTIMAL TRANSPORT AND WEAK OPTIMAL TRANSPORT
成果类型:
Article
署名作者:
Backhoff-Veraguas, J.; Pammer, G.
署名单位:
University of Vienna; Swiss Federal Institutes of Technology Domain; ETH Zurich
刊物名称:
ANNALS OF APPLIED PROBABILITY
ISSN/ISSBN:
1050-5164
DOI:
10.1214/21-AAP1694
发表日期:
2022
页码:
721-752
关键词:
benamou-brenier
inequalities
bounds
COSTS
摘要:
Under mild regularity assumptions, the transport problem is stable in the following sense: if a sequence of optimal transport plans pi(1), pi(2), ... converges weakly to a transport plan pi, then pi is also optimal (between its marginals). Alfonsi, Corbetta and Jourdain (Ann. Inst. Henri Poincare Probab. Stat. 56 (2020) 1706-1729) asked whether the same property is true for the martingale transport problem. This question seems particularly pressing since martingale transport is motivated by robust finance where data is naturally noisy. On a technical level, stability in the martingale case appears more intricate than for classical transport since martingale optimal transport plans are not characterized by a monotonicity-property of their supports. In this paper we give a positive answer and establish stability of the martingale transport problem. As a particular case, this recovers the stability of the left curtain coupling established by Juillet (In Seminaire de Probabilites XLVIII (2016) 13-32 Springer). An important auxiliary tool is an unconventional topology which takes the temporal structure of martingales into account. Our techniques also apply to the the weak transport problem introduced by Gozlan, Roberto, Samson and Tetali.