Probabilistic frames: An overview
Probability
2017-09-04 v1 Functional Analysis
Abstract
Finite frames can be viewed as mass points distributed in -dimensional Euclidean space. As such they form a subclass of a larger and rich class of probability measures that we call probabilistic frames. We derive the basic properties of probabilistic frames, and we characterize one of their subclasses in terms of minimizers of some appropriate potential function. In addition, we survey a range of areas where probabilistic frames, albeit, under different names, appear. These areas include directional statistics, the geometry of convex bodies, and the theory of t-designs.
Cite
@article{arxiv.1108.2169,
title = {Probabilistic frames: An overview},
author = {Martin Ehler and Kasso A. Okoudjou},
journal= {arXiv preprint arXiv:1108.2169},
year = {2017}
}