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arXiv 2102.06579math.PR
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非凸区域中的反射倒向随机微分方程

Reflected BSDEs in non-convex domains

Jean-François Chassagneux, Sergey Nadtochiy, Adrien Richou

摘要:

本文在非凸区域上建立了反射倒向随机微分方程的适定性,该方程满足较弱的星形性质。主要结果建立在(i)具有Hölder连续生成元和终端条件的马尔可夫框架中,以及(ii)在输入数据的小性假设下的一般设置中。我们还研究了这个适定性结果与流形上鞅理论之间的联系。

英文摘要:

This paper establishes the well-posedness of reflected backward stochastic differential equations in the non-convex domains that satisfy a weaker version of the star-shaped property. The main results are established (i) in a Markovian framework with Hölder-continuous generator and terminal condition and (ii) in a general setting under a smallness assumption on the input data. We also investigate the connections between this well-posedness result and the theory of martingales on manifolds.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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