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Numerical Methods for Stochastic Differential Equations in Matrix Lie Groups Made Simple

机译:矩阵李群中随机微分方程的数值方法变得简单

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摘要

A large number of significant applications involve numerical solution of stochastic differential equations (SDE's) evolving in Lie groups such as$SO(3)$. In the engineering literature, the proper formulation of numerical schemes has largely been ignored so that many schemes are flawed, i.e., do not guarantee the solution stays in the Lie group. There is a small mathematics literature but it is not easily accessible. With this in mind, we give a directly accessible derivation of numerical schemes for solving SDE's that do not rely on differential geometry or advanced random process theory. In doing so, we develop some new results. We illustrate the numerical schemes with simulations.
机译:大量重要的应用涉及Lie组中演化的随机微分方程(SDE)的数值解,例如 n $ SO(3)$ n。在工程文献中,数值方案的正确表述在很大程度上被忽略了,以至于许多方案都是有缺陷的,即不能保证解决方案停留在李群中。数学文献很少,但是不容易获得。考虑到这一点,我们给出了直接求解的不依赖微分几何或高级随机过程理论的SDE数值方案。通过这样做,我们得出了一些新结果。我们通过仿真来说明数值方案。

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