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Geometry of Geometric Data Set I

Shigeaki Yokota

Abstract

Hanika, Schneider, and Stumme introduced geometric data set as a generalization of metric measure space for the computation of the observable diameter, and extended the observable distance between metric measure spaces to that between geometric data sets. In this paper, we begin by proving the non-separability of the observable distance between geometric data sets. We then extend the box distance between mm-spaces to that between geometric data sets and prove its completeness and non-separability.

Geometry of Geometric Data Set I

Abstract

Hanika, Schneider, and Stumme introduced geometric data set as a generalization of metric measure space for the computation of the observable diameter, and extended the observable distance between metric measure spaces to that between geometric data sets. In this paper, we begin by proving the non-separability of the observable distance between geometric data sets. We then extend the box distance between mm-spaces to that between geometric data sets and prove its completeness and non-separability.
Paper Structure (13 sections, 48 theorems, 196 equations)

This paper contains 13 sections, 48 theorems, 196 equations.

Key Result

Theorem 1.1

The set $\{\ast_A \mid A \subset \mathbb{N}\}$ is an uncountable discrete subset of $(\mathcal{D}, d_{\operatorname{conc}})$. In particular, $(\mathcal{D}, d_{\operatorname{conc}})$ is non-separable.

Theorems & Definitions (117)

  • Theorem 1.1
  • Lemma 1.2
  • Definition 1.3
  • Theorem 1.4
  • Definition 2.1: Push-forward
  • Definition 2.2: Support
  • Lemma 2.3: nakajima2022coupling
  • Definition 2.4: Metric measure space, mm-space
  • Remark 2.5
  • Definition 2.6: Prohorov distance
  • ...and 107 more