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arXiv 1004.3583math.OC
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具有稀疏初值的初值问题的可观测性

Observability for Initial Value Problems with Sparse Initial Data

Nicolae Tarfulea

摘要:

在这项工作中,我们引入了$s$的概念-稀疏可观性的大型系统的常微分方程。假设$\dot x=f(t,x)$就是这样一个系统。在时间$T>0$,假设我们对具有初始数据$x(0)=x^0$的系统的解进行一组观测$b=Ax(T)$,其中$A$是满足限制等距性质的矩阵。本文的目的是回答以下问题:鉴于观察$b$,是唯一确定的$x^0$知道$x^0$是足够稀疏的?有没有办法重建如此稀疏的初始数据$x^0$?

英文摘要:

In this work we introduce the concept of $s$-sparse observability for large systems of ordinary differential equations. Let $\dot x=f(t,x)$ be such a system. At time $T>0$, suppose we make a set of observations $b=Ax(T)$ of the solution of the system with initial data $x(0)=x^0$, where $A$ is a matrix satisfying the restricted isometry property. The aim of this paper is to give answers to the following questions: Given the observations $b$, is $x^0$ uniquely determined knowing that $x^0$ is sufficiently sparse? Is there any way to reconstruct such a sparse initial data $x^0$?

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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