Jensen's Inequality for Backward SDEs Driven by $G$-Brownian motion
Ze-Chun Hu, Zhen-Ling Wang

TL;DR
This paper investigates Jensen's inequality within the context of nonlinear expectations generated by $G$-Brownian motion-driven backward SDEs, establishing conditions for when these inequalities hold in one and multiple dimensions.
Contribution
It provides necessary and sufficient conditions for Jensen's inequality to hold for $G$-BSDEs, extending understanding of nonlinear expectations in stochastic analysis.
Findings
One-dimensional Jensen inequality holds under specific conditions.
Multi-dimensional Jensen inequality holds only if the expectation is linear.
Characterization of when $G$-BSDEs satisfy Jensen's inequality.
Abstract
In this note, we consider Jensen's inequality for the nonlinear expectation associated with backward SDEs driven by -Brownian motion (-BSDEs for short). At first, we give a necessary and sufficient condition for -BSDEs under which one-dimensional Jensen inequality holds. Second, we prove that for , the -dimensional Jensen inequality holds for any nonlinear expectation if and only if the nonlinear expectation is linear, which is essentially due to Jia (Arch. Math. 94 (2010), 489-499). As a consequence, we give a necessary and sufficient condition for -BSDEs under which the -dimensional Jensen inequality holds.
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Taxonomy
TopicsStochastic processes and financial applications · Risk and Portfolio Optimization · Financial Risk and Volatility Modeling
