The numerical method of Kahan applied to quadratic differential equations is known to often generate integrable maps in low dimensions and can in more general situations exhibit preserved measures and integrals. Computerized methods based on discrete Darboux polynomials have recently been used for finding these measures and integrals. However, if the differential system contains many parameters, this approach can lead to highly complex results that can be difficult to interpret and analyze. But this complexity can in some cases be substantially reduced by using aromatic series. These are a mathematical tool introduced independently by Chartier and Murua and by Iserles, Quispel and Tse. We develop an algorithm for this purpose and derive some necessary conditions for the Kahan map to have preserved measures and integrals expressible in terms of aromatic functions. An important reason for the success of this method lies in the equivariance of the map from vector fields to their aromatic funtions. We demonstrate the algorithm on a number of examples showing a great reduction in complexity compared to what had been obtained by a fixed basis such as monomials.
翻译:Kahan 用于二次差分方程的数值方法众所周知,它常常产生低维度的可辨认地图,在更一般的情况下可以显示保存的措施和整体体。最近,以离散的Darbuux多面形体为基础的计算机化方法被用于寻找这些措施和整体体。然而,如果差分系统包含许多参数,这种办法可能导致非常复杂的结果,难以解释和分析。但在某些情况下,使用芳香系列可以大大降低这种复杂性。这是一个数学工具,由Chartier和Murua独立推出,由Iserles、Quispel和Tse独立推出。我们为此开发了一种算法,并为Kahan地图提供了一些必要的条件,以便保存测量和整体的芳香功能。这种方法成功的一个重要原因在于地图从矢量场到其芳香调乐取的不均匀性。我们用一些例子展示了算法,这些例子表明复杂性比单项等固定基础所获取的复杂程度大为低。