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arXiv 1502.05648math.PR
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无限维中的路径依赖方程和黏性解

Path-dependent equations and viscosity solutions in infinite dimension

Andrea Cosso, Salvatore Federico, Fausto Gozzi, Mauro Rosestolato, Nizar Touzi

摘要:

路径依赖偏微分方程(PPDE)是研究非马尔可夫模型的自然对象。最近,在引入所谓的路径(或泛函或Dupire)演算(见[15])之后,在有限维底层空间的情况下,各种论文都致力于研究这类方程的适定性,无论是从正则解(见例如[15,9])还是从黏性解(见例如[16])的角度。在本文中,我们基于对路径依赖随机偏微分方程驱动模型的研究,给出了当底层空间是可分希尔伯特空间时,PPDE的黏性解的第一个适定性结果.我们还观察到,与有限维的情况下,我们的适定性结果,即使在马尔可夫的情况下,适用于方程不能处理,到目前为止,与已知的理论的黏性解。

英文摘要:

Path-dependent PDEs (PPDEs) are natural objects to study when one deals with non Markovian models. Recently, after the introduction of the so-called pathwise (or functional or Dupire) calculus (see [15]), in the case of finite-dimensional underlying space various papers have been devoted to studying the well-posedness of such kind of equations, both from the point of view of regular solutions (see e.g. [15, 9]) and viscosity solutions (see e.g. [16]). In this paper, motivated by the study of models driven by path-dependent stochastic PDEs, we give a first well-posedness result for viscosity solutions of PPDEs when the underlying space is a separable Hilbert space. We also observe that, in contrast with the finite-dimensional case, our well-posedness result, even in the Markovian case, applies to equations which cannot be treated, up to now, with the known theory of viscosity solutions.

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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