1D nonlinear backward stochastic differential equations: a unified theory and applications

Fuente: arXiv
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Main Authors: Fan, Shengjun, Hu, Ying, Tang, Shanjian
Format: Preprint
Published: 2023
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author Fan, Shengjun
Hu, Ying
Tang, Shanjian
author_facet Fan, Shengjun
Hu, Ying
Tang, Shanjian
contents Since the celebrated paper by El Karoui, Peng and Quenez [Mathematical Finance, 7 (1997), 1--71], backward stochastic differential equations have found wide applications in stochastic control, financial technology and machine learning. In this paper, we present a comprehensive theory on the existence and uniqueness of adapted solutions to a one-dimensional nonlinear backward stochastic differential equation (1D BSDE for short), and assume that the generator $g$ has a unilateral linear or super-linear growth in the first unknown variable $y$, and has an at most quadratic growth in the second unknown variable $z$. We develop a unified methodology, featured by the test function method and the a priori estimate technique, to establish several existence theorems and comparison theorems, which immediately yield corresponding existence and uniqueness results. We also overview relevant known results and give some practical applications of our theoretical results. Finally, we list some open problems on the well-posedness of 1D BSDEs.
format Preprint
id arxiv_https___arxiv_org_abs_2309_06233
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle 1D nonlinear backward stochastic differential equations: a unified theory and applications
Fan, Shengjun
Hu, Ying
Tang, Shanjian
Probability
Since the celebrated paper by El Karoui, Peng and Quenez [Mathematical Finance, 7 (1997), 1--71], backward stochastic differential equations have found wide applications in stochastic control, financial technology and machine learning. In this paper, we present a comprehensive theory on the existence and uniqueness of adapted solutions to a one-dimensional nonlinear backward stochastic differential equation (1D BSDE for short), and assume that the generator $g$ has a unilateral linear or super-linear growth in the first unknown variable $y$, and has an at most quadratic growth in the second unknown variable $z$. We develop a unified methodology, featured by the test function method and the a priori estimate technique, to establish several existence theorems and comparison theorems, which immediately yield corresponding existence and uniqueness results. We also overview relevant known results and give some practical applications of our theoretical results. Finally, we list some open problems on the well-posedness of 1D BSDEs.
title 1D nonlinear backward stochastic differential equations: a unified theory and applications
topic Probability
url https://arxiv.org/abs/2309.06233