Results 1 to 10 of about 72 (69)

An asymptotic expansion of the solution of a semi-linear partial differential equation implied by a nonlinear Feynman–Kac formula

open access: yesInternational Journal of Mathematics for Industry
This paper introduces an asymptotic expansion for the smooth solution of a semi-linear partial differential equation. Our scheme is based on Itô’s formula, Taylor’s expansion, nonlinear Feynman–Kac formula and some algebras.
Kaori Okuma
doaj   +2 more sources

On nonlinear Feynman–Kac formulas for viscosity solutions of semilinear parabolic partial differential equations [PDF]

open access: yesStochastics and Dynamics, 2021
The classical Feynman–Kac identity builds a bridge between stochastic analysis and partial differential equations (PDEs) by providing stochastic representations for classical solutions of linear Kolmogorov PDEs. This opens the door for the derivation of sampling based Monte Carlo approximation methods, which can be meshfree and thereby stand a chance ...
Christian Beck   +2 more
openaire   +2 more sources

A fully nonlinear Feynman–Kac formula with derivatives of arbitrary orders

open access: yesJournal of Evolution Equations, 2023
We present an algorithm for the numerical solution of nonlinear parabolic partial differential equations. This algorithm extends the classical Feynman-Kac formula to fully nonlinear partial differential equations, by using random trees that carry information on nonlinearities on their branches.
Jiang Yu Nguwi   +2 more
openaire   +3 more sources

Study of Pricing of High-Dimensional Financial Derivatives Based on Deep Learning

open access: yesMathematics, 2023
Many problems in the fields of finance and actuarial science can be transformed into the problem of solving backward stochastic differential equations (BSDE) and partial differential equations (PDEs) with jumps, which are often difficult to solve in high-
Xiangdong Liu, Yu Gu
doaj   +1 more source

BSDE, path-dependent PDE and nonlinear Feynman-Kac formula [PDF]

open access: yesScience China Mathematics, 2015
In this paper, we introduce a type of path-dependent quasilinear (parabolic) partial differential equations in which the (continuous) paths on an interval [0,t] becomes the basic variables in the place of classical variables (t,x). This new type of PDE are formulated through a classical backward stochastic differential equation (BSDEs, for short) in ...
Peng, ShiGe, Wang, FaLei
openaire   +3 more sources

Feynman–Kac formula for BSDEs with jumps and time delayed generators associated to path-dependent nonlinear Kolmogorov equations

open access: yesNonlinear Differential Equations and Applications NoDEA, 2022
Abstract We consider a system of forward backward stochastic differential equations (FBSDEs) with a time-delayed generator driven by Lévy-type noise. We establish a non-linear Feynman–Kac representation formula associating the solution given by the FBSDEs system to the solution of a path dependent nonlinear Kolmogorov equation with ...
Di Persio, Luca   +2 more
openaire   +4 more sources

Applications of anticipated BSDEs driven by time-changing Lévy noises

open access: yesJournal of Inequalities and Applications, 2016
We study a very particular anticipated BSDEs when the driver is time-changing Lévy noise. We give an estimate of the solutions in the system satisfying some non-Lipschitz conditions. Also, we state an useful comparison theorem for the solutions. At last,
Youxin Liu
doaj   +1 more source

Nonlinear Feynman–Kac formula and discrete-functional-type BSDEs with continuous coefficients

open access: yesStochastic Processes and their Applications, 2004
The authors study a class of multi-dimensional backward stochastic differential equations (BSDEs) of the following form: \[ Y_t = g(X)_T+\int_t^T f(r,X,Y_r,Z_r)\,dr- \int_t^T Z_r\,dW_r,\quad t\in[0,T], \tag{1} \] where \(X\) is an \(n\)-dimensional diffusion satisfying the SDE \[ X_t=x+\int_0^t b(r,X_r)\,dr + \int_0^t\sigma(r,X_r)\,dW_r,\quad t\in[0, T]
Hu, Ying, Ma, Jin
openaire   +2 more sources

Nonlinear Feynman-Kac formulae for SPDEs with space-time noise

open access: yes, 2017
We study a class of backward doubly stochastic differential equations (BDSDEs) involving martingales with spatial parameters, and show that they provide probabilistic interpretations (Feynman-Kac formulae) for certain semilinear stochastic partial differential equations (SPDEs) with space-time noise.
Song, Jian, Song, Xiaoming, Zhang, Qi
openaire   +2 more sources

Home - About - Disclaimer - Privacy