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A simple approach to numerical methods for stochastic differential equations in Lie groups

机译:李群中随机微分方程数值方法的一种简单方法

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[A large number of important engineering applications require solving stochastic differential equations (SDEs) so that geometrical constraints are satisfied, e.g. the solution has to lie in a matrix Lie group. But the few papers that properly derive numerical schemes for SDEs evolving in Lie groups are in the mathematics literature and not accessible to engineers. The engineering literature is also small but plagued with problems. With this in mind we give a direct accessible derivation of numerical schemes for solving such equations. We do not rely on differential geometry or advanced random process theory. We give simulations in a simple case to show how geometric structure is preserved.
机译:[大量重要的工程应用需要求解随机微分方程(SDE),以便满足几何约束,例如解决方案必须位于矩阵李群中。但是在数学文献中,很少有论文能够正确推导李群中演化出的SDE的数值格式,这是工程人员无法获得的。工程文献也很少,但存在很多问题。考虑到这一点,我们给出了求解此类方程式的数字方案的直接可访问派生。我们不依赖于微分几何或先进的随机过程理论。我们在一个简单的案例中进行仿真,以显示如何保留几何结构。

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