Optimal frame designs for multitasking devices with weight restrictions

preprint2020arXivOpen access

Abstract

Let d=(dj)j∈Im∈Nm\mathbf d=(d_j)_{j\in\mathbb I_m}\in\mathbb N^m be a finite sequence (of dimensions) and α=(αi)i∈Inα=(α_i)_{i\in\mathbb I_n} be a sequence of positive numbers (of weights), where Ik={1,…,k}\mathbb I_k=\{1,\ldots,k\} for k∈Nk\in\mathbb N. We introduce the (α , d)(α\, , \,\mathbf d)-designs i.e., mm-tuples Φ=(Fj)j∈ImΦ=(\mathcal F_j)_{j\in\mathbb I_m} such that Fj={fij}i∈In\mathcal F_j=\{f_{ij}\}_{i\in\mathbb I_n} is a finite sequence in Cdj\mathbb C^{d_j}, j∈Imj\in\mathbb I_m, and such that the sequence of non-negative numbers (∥fij∥2)j∈Im(\|f_{ij}\|^2)_{j\in\mathbb I_m} forms a partition of αiα_i, i∈Ini\in\mathbb I_n. We characterize the existence of (α , d)(α\, , \, \mathbf d)-designs with prescribed properties in terms of majorization relations. We show, by means of a finite-step algorithm, that there exist (α , d)(α\, , \, \mathbf d)-designs Φop=(Fjop)j∈ImΦ^{\rm op}=(\mathcal F_j^{\rm op})_{j\in\mathbb I_m} that are universally optimal; that is, for every convex function φ:[0,∞)→[0,∞)φ:[0,\infty)\rightarrow [0,\infty) then ΦopΦ^{\rm op} minimizes the joint convex potential induced by φφ among (α , d)(α\, , \, \mathbf d)-designs, namely ∑j∈ImPφ(Fjop)≤∑j∈ImPφ(Fj) \sum_{j\in\mathbb I_m}\text{P}_φ(\mathcal F_j^{\rm op})\leq \sum_{j\in \mathbb I_m}\text{P}_φ(\mathcal F_j) for every (α , d)(α\, , \, \mathbf d)-design Φ=(Fj)j∈ImΦ=(\mathcal F_j)_{j\in\mathbb I_m}, where Pφ(F)=tr(φ(SF))\text{P}_φ(\mathcal F)=tr(φ(S_{\mathcal F})); in particular, ΦopΦ^{\rm op} minimizes both the joint frame potential and the joint mean square error among (α , d)(α\, , \, \mathbf d)-designs. We show that in this case Fjop\mathcal F_j^{\rm op} is a frame for Cdj\mathbb C^{d_j}, for j∈Imj\in\mathbb I_m. This corresponds to the existence of optimal encoding-decoding schemes for multitasking devices with energy restrictions.

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