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The solution of a (stochastic) differential equation (SDE) can be locally approximated by a stochastic expansion, a linear combination of iterated integrals. Quantities of interest, like moments, can then be approximated with the expansion.…

Probability · Mathematics 2010-08-25 Christophe Ladroue

The classical Feynman-Kac identity represents solutions of linear partial differential equations in terms of stochastic differential euqations. This representation has been generalized to nonlinear partial differential equations on the one…

Probability · Mathematics 2023-10-30 Martin Hutzenthaler , Katharina Pohl

We study an extension of the Cox-Ingersoll-Ross (CIR) process that incorporates jumps at deterministic dates, referred to as stochastic discontinuities. Our main motivation stems from short-rate modelling in the context of overnight rates,…

Probability · Mathematics 2025-09-22 Claudio Fontana , Simone Pavarana , Thorsten Schmidt

This paper is concerned with finite dimensional models for the entire term structure for energy futures. As soon as a finite dimensional set of possible yield curves is chosen, one likes to estimate the dynamic behaviour of the yield curve…

Mathematical Finance · Quantitative Finance 2023-08-07 Paul Krühner , Shijie Xu

Motivated by a recent publication by Ishiwata and Nakata (2022), we prove that sufficiently regular stochastic delay differential equations (SDDEs) with a single discrete delay have blow up solutions if and only if their undelayed…

Probability · Mathematics 2024-12-19 Julius Busse

An efficient linear solver plays an important role while solving partial differential equations (PDEs) and partial integro-differential equations (PIDEs) type mathematical models. In most cases, the efficiency depends on the stability and…

Numerical Analysis · Mathematics 2013-04-15 Samir Kumar Bhowmik

In this work, neutral stochastic functional differential equations with infinite delay (NSFDEwID) has been studied. The existence and uniqueness of solutions to NSFDEwID at the state space $ C_{r} $ under the local weak monotone condition,…

Probability · Mathematics 2019-03-11 Hussein K. Asker

We develop a one-dimensional notion of affine processes under parameter uncertainty, which we call non-linear affine processes. This is done as follows: given a set of parameters for the process, we construct a corresponding non-linear…

Probability · Mathematics 2019-03-27 Tolulope Fadina , Ariel Neufeld , Thorsten Schmidt

We consider state-dependent delay equations (SDDE) obtained by adding delays to a planar ordinary differential equation with a limit cycle. These situations appear in models of several physical processes, where small delay effects are…

Dynamical Systems · Mathematics 2021-08-13 Jiaqi Yang , Joan Gimeno , Rafael de la Llave

In this paper, we establish a version of the Feynman-Kac formula for multidimensional stochastic heat equation driven by a general semimartingale. This Feynman-Kac formula is then applied to study some nonlinear stochastic heat equations…

Probability · Mathematics 2012-07-26 Yaozhong Hu , David Nualart , Jian Song

The paper deals with a class of cooperative functional differential equations (FDEs) with infinite delay, for which sufficient conditions for persistence and permanence are established. Here, the persistence refers to all solutions with…

Classical Analysis and ODEs · Mathematics 2017-03-02 Teresa Faria

In this paper, we introduce a delayed Mittag-Leffler type function. With the help of the delayed Mittag-Leffler type functions, we give an explicit formula of solutions to linear nonhomogeneous fractional time-delay Langevin equations…

Dynamical Systems · Mathematics 2019-07-04 N. I. Mahmudov

We introduce a class of interest rate models, called the $\alpha$-CIR model, which gives a natural extension of the standard CIR model by adopting the $\alpha$-stable L{\'e}vy process and preserving the branching property. This model allows…

Computational Finance · Quantitative Finance 2016-02-22 Ying Jiao , Chunhua Ma , Simone Scotti

We prove Feynman-Kac formulas for solutions to elliptic and parabolic boundary value and obstacle problems associated with a general Markov diffusion process. Our diffusion model covers several popular stochastic volatility models, such as…

Probability · Mathematics 2015-09-15 Paul M. N. Feehan , Ruoting Gong , Jian Song

Two novel numerical estimators are proposed for solving forward-backward stochastic differential equations (FBSDEs) appearing in the Feynman-Kac representation of the value function in stochastic optimal control problems. In contrast to the…

Optimization and Control · Mathematics 2021-10-01 Kelsey P. Hawkins , Ali Pakniyat , Panagiotis Tsiotras

We explore the connections between the theories of stochastic analysis and discrete quantum mechanical systems. Naturally these connections include the Feynman-Kac formula, and the Cameron-Martin-Girsanov theorem. More precisely, the notion…

Mathematical Physics · Physics 2019-06-11 Anastasia Doikou , Simon J. A. Malham , Anke Wiese

In areas such as finance, engineering, and science, we often face situations that change quickly and unpredictably. These situations are tough to handle and require special tools and methods capable of understanding and predicting what…

Systems and Control · Electrical Eng. & Systems 2024-04-23 Wencheng Bao , Shi Feng , Kaiwen Zhang

The Feynman-Kac formula provides a way to understand solutions to elliptic partial differential equations in terms of expectations of continuous time Markov processes. This connection allows for the creation of numerical schemes for…

Numerical Analysis · Mathematics 2021-08-11 Cameron Martin , Hongyuan Zhang , Julia Costacurta , Mihai Nica , Adam R Stinchcombe

We propose a novel non-compact, positivity-preserving scheme for linear non-divergence form parabolic equations. Based on the Feynman-Kac formula, the solution is expressed as a conditional expectation of an associated diffusion process.…

Numerical Analysis · Mathematics 2026-01-19 Haoran Xu , Jie Ren , Xingye Yue

In this article I present a fast and direct method for solving several types of linear finite difference equations (FDE) with constant coefficients. The method is based on a polynomial form of the translation operator and its inverse, and…

Numerical Analysis · Mathematics 2011-11-03 S. Merino
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