English

Multiscale Structure of More-than-Binary Variables

Statistical Mechanics 2017-06-15 v2 Data Analysis, Statistics and Probability

Abstract

In earlier work, my colleagues and I developed a formalism for using information theory to understand scales of organization and structure in multi-component systems. One prominent theme of that work was that the structure of a system cannot always be decomposed into pairwise relationships. In this brief communication, I refine that formalism to address recent examples which bring out that theme in a novel and subtle way. After summarizing key points of earlier papers, I introduce the crucial new concept of an ancilla component, and I apply this refinement of our formalism to illustrative examples. The goals of this brief communication are, first, to show how a simple scheme for constructing ancillae can be useful in bringing out subtleties of structure, and second, to compare this scheme with another recent proposal in the same genre.

Keywords

Cite

@article{arxiv.1705.03927,
  title  = {Multiscale Structure of More-than-Binary Variables},
  author = {Blake C. Stacey},
  journal= {arXiv preprint arXiv:1705.03927},
  year   = {2017}
}

Comments

8 pages, 0 figures, 1 term from quantum information theory reappropriated for classical ends; v2: expansions and edits in response to feedback

R2 v1 2026-06-22T19:43:28.596Z