pith. sign in

arxiv: 1606.03136 · v3 · pith:IUIB4LGKnew · submitted 2016-06-09 · 🧮 math.FA

Dynamical sampling and systems from iterative actions of operators

classification 🧮 math.FA
keywords dynamicalsamplingiterationsmathcaloperatorssystemsystemsabove
0
0 comments X
read the original abstract

We review some of the recent developments and prove new results concerning frames and Bessel systems generated by iterations of the form $\{A^ng: g\in G,\, n=0,1,2,\dots \}$, where $A$ is a bounded linear operators on a separable complex Hilbert space $ \mathcal{H} $ and $G$ is a countable set of vectors in $ \mathcal{H} $. The system of iterations mentioned above was motivated from the so called dynamical sampling problem. In dynamical sampling, an unknown function $f$ and its future states $A^nf$ are coarsely sampled at each time level $n$, $0\leq n< L$, where $A$ is an evolution operator that drives the system. The goal is to recover $f$ from these space-time samples.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Frames for source recovery from non-uniform dynamical samples

    math.FA 2025-01 unverdicted novelty 4.0

    Necessary and sufficient conditions are given for source term recovery in finite and infinite iterations from non-uniform dynamical samples arising from spectral pairs in separable Hilbert spaces.