论文标题

部分可观测时空混沌系统的无模型预测

Ideals of equations for elements in a free group and Stallings folding

论文作者

Ascari, Dario

论文摘要

储层计算是预测湍流的有力工具,其简单的架构具有处理大型系统的计算效率。然而,其实现通常需要完整的状态向量测量和系统非线性知识。我们使用非线性投影函数将系统测量扩展到高维空间,然后将其输入到储层中以获得预测。我们展示了这种储层计算网络在时空混沌系统上的应用,该系统模拟了湍流的若干特征。我们表明,使用径向基函数作为非线性投影器,即使只有部分观测并且不知道控制方程,也能稳健地捕捉复杂的系统非线性。最后,我们表明,当测量稀疏、不完整且带有噪声,甚至控制方程变得不准确时,我们的网络仍然可以产生相当准确的预测,从而为实际湍流系统的无模型预测铺平了道路。

Let $F$ be a finitely generated free group and let $H\le F$ be a finitely generated subgroup. Given an element $g\in F$, we study the ideal $\mathfrak{I}_g$ of equations for $g$ with coefficients in $H$, i.e. the elements $w(x)\in H*\langle x\rangle$ such that $w(g)=1$ in $F$. The ideal $\mathfrak{I}_g$ is a normal subgroup of $H*\langle x\rangle$, and we provide an algorithm, based on Stallings folding operations, to compute a finite set of generators for $\mathfrak{I}_g$ as a normal subgroup. We provide an algorithm to find an equation in $\mathfrak{I}_g$ with minimum degree, i.e. an equation $w(x)$ such that its cyclic reduction contains the minimum possible number of occurrences of $x$ and $x^{-1}$; this answers a question of A. Rosenmann and E. Ventura. More generally, we provide an algorithm that, given $d\in\mathbb{N}$, determines whether $\mathfrak{I}_g$ contains equations of degree $d$ or not, and we give a characterization of the set of all the equations of that specific degree. We define the set $D_g$ of all integers $d$ such that $\mathfrak{I}_g$ contains equations of degree $d$; we show that $D_g$ coincides, up to a finite set, either with the set of non-negative even numbers or with the set of natural numbers. Finally, we provide examples to illustrate the techniques introduces in this paper. We discuss the case where $\text{rank}(H)=1$. We prove that both kinds of sets $D_g$ can actually occur. The examples also show that the equations of minimum possible degree aren't in general enough to generate the whole ideal $\mathfrak{I}_g$ as a normal subgroup.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源