In this paper, a Banach space framework is introduced in order to deal with finite-dimensional path-dependent stochastic differential equations. A version of Kolmogorov backward equation is formulated and solved both in the space of Lp paths and in the space of continuous paths using the associated stochastic differential equation, thus establishing a relation between path-dependent SDEs and PDEs in analogy with the classical case. Finally, it is shown how to establish a connection between such Kolmogorov equation and the analogue finite-dimensional equation that can be formulated in terms of the path-dependent derivatives recently introduced by Dupire, Cont and Fournié.
Flandoli, F., Zanco, G.A. (2016). An infinite-dimensional approach to path-dependent Kolmogorov equations. ANNALS OF PROBABILITY, 44(4), 2643-2693 [10.1214/15-AOP1031].
An infinite-dimensional approach to path-dependent Kolmogorov equations
ZANCO, GIOVANNI ALESSANDRO
2016-01-01
Abstract
In this paper, a Banach space framework is introduced in order to deal with finite-dimensional path-dependent stochastic differential equations. A version of Kolmogorov backward equation is formulated and solved both in the space of Lp paths and in the space of continuous paths using the associated stochastic differential equation, thus establishing a relation between path-dependent SDEs and PDEs in analogy with the classical case. Finally, it is shown how to establish a connection between such Kolmogorov equation and the analogue finite-dimensional equation that can be formulated in terms of the path-dependent derivatives recently introduced by Dupire, Cont and Fournié.File | Dimensione | Formato | |
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https://hdl.handle.net/11365/1222418