Stochastic Differential Equations

T. Björk
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Abstract

In this chapter we introduce stochastic differential equations (SDEs) and discuss existence and uniqueness questions. The geometric and linear equations are studied in some detail and their most important properties are derived. We then discuss the connection between SDEs and partial differential equations (PDEs). In particular we prove the Feynman–Kač representation theorem which provides the solution to a parabolic PDE in terms of an expected value connected to a certain SDE. We also discuss and derive the Kolmogorov forward and backward equations.
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随机微分方程
在这一章中,我们介绍了随机微分方程(SDEs),并讨论了存在唯一性问题。对几何方程和线性方程进行了详细的研究,并给出了它们最重要的性质。然后我们讨论了偏微分方程与偏微分方程之间的联系。特别地,我们证明了feynman - kaki表示定理,该定理给出了抛物线型PDE的期望值与某一SDE的联系的解。我们还讨论并推导了Kolmogorov正反向方程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Optimal Consumption and Investment Arbitrage Pricing Stochastic Integrals Stochastic Differential Equations Portfolio Dynamics
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