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Bibliographic Details
Main Author: Yang, Guang
Format: Preprint
Published: 2023
Subjects:
Online Access:https://arxiv.org/abs/2302.12470
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author Yang, Guang
author_facet Yang, Guang
contents The present paper is devoted to the well-posedness of a type of multi-dimensional backward stochastic differential equations (BSDEs) with a diagonally quadratic generator. We give a new priori estimate, and prove that the BSDE admits a unique solution on a given interval when the generator has a sufficiently small growth of the off-diagonal elements (i.e., for each $i$, the $i$-th component of the generator has a small growth of the $j$-th row $z^j$ of the variable $z$ for each $j \neq i$). Finally, we give a solvability result when the diagonally quadratic generator is triangular.
format Preprint
id arxiv_https___arxiv_org_abs_2302_12470
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Multi-dimensional Backward Stochastic Differential Equations of Diagonally Quadratic Generators with a Special Structure
Yang, Guang
Probability
60H10
The present paper is devoted to the well-posedness of a type of multi-dimensional backward stochastic differential equations (BSDEs) with a diagonally quadratic generator. We give a new priori estimate, and prove that the BSDE admits a unique solution on a given interval when the generator has a sufficiently small growth of the off-diagonal elements (i.e., for each $i$, the $i$-th component of the generator has a small growth of the $j$-th row $z^j$ of the variable $z$ for each $j \neq i$). Finally, we give a solvability result when the diagonally quadratic generator is triangular.
title Multi-dimensional Backward Stochastic Differential Equations of Diagonally Quadratic Generators with a Special Structure
topic Probability
60H10
url https://arxiv.org/abs/2302.12470