Abstract

In this document, some structured operator approximation theoretical methods for system identification of nearly eventually periodic systems, are presented. Let Cn×m\mathbb{C}^{n\times m} denote the algebra of n×mn\times m complex matrices. Given ε>0\varepsilon>0, an arbitrary discrete-time dynamical system (Σ,T)(Σ,\mathcal{T}) with state-space ΣΣ contained in the finite dimensional Hilbert space Cn\mathbb{C}^n, whose state-transition map T:Σ×([0,∞)∩Z)→Σ\mathcal{T}:Σ\times ([0,\infty)\cap \mathbb{Z})\to Σ is unknown or partially known, and needs to be determined based on some sampled data in a finite set Σ^={xt}1≤t≤m⊂Σ\hatΣ=\{x_t\}_{1\leq t\leq m}\subset Σ according to the rule T(xt,1)=xt+1\mathcal{T}(x_t,1)=x_{t+1} for each 1≤t≤m−11\leq t\leq m-1, and given x∈Σ^x\in \hatΣ. We study the solvability of the existence problems for two triples (p,A,φ)(p,A,φ) and (p,Aη,Φ)(p,A_η,Φ) determined by a polynomial p∈C[z]p\in \mathbb{C}[z] with °(p)≤m°(p)\leq m, a matrix root A∈Cm×mA\in\mathbb{C}^{m\times m} and an approximate matrix root Aη∈Cr×rA_η\in\mathbb{C}^{r\times r} of p(z)=0p(z)=0 with r≤mr\leq m, two completely positive linear multiplicative maps φ:Cm×m→Cn×nφ:\mathbb{C}^{m\times m}\to \mathbb{C}^{n\times n} and Φ:Cr×r→Cn×nΦ:\mathbb{C}^{r\times r}\to \mathbb{C}^{n\times n}, such that ∥T(x,t)−φ(At)x∥≤ε\|\mathcal{T}(x,t)-φ(A^t)x\|\leq\varepsilon and ∥Φ(Aηt)x−φ(At)x∥≤ε\|Φ(A_η^t)x-φ(A^t)x\|\leq\varepsilon, for each integer t≥1t\geq 1 such that ∥T(x,t)−y∥≤ε\|\mathcal{T}(x,t)-y\|\leq \varepsilon for some y∈Σ^y\in \hatΣ. Some numerical implementations of these techniques for the reduced-order predictive simulation of dynamical systems in continuum and quantum mechanics, are outlined.

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