English

Conditional constrained and unconstrained quantization for uniform distributions on regular polygons

Probability 2025-05-21 v3

Abstract

In this paper, we have considered a uniform distribution on a regular polygon with kk-sides for some k3k\geq 3 and the set of all its kk vertices as a conditional set. For the uniform distribution under the conditional set first, for all positive integers nkn\geq k, we obtain the conditional optimal sets of nn-points and the nnth conditional quantization errors, and then we calculate the conditional quantization dimension and the conditional quantization coefficient in the unconstrained scenario. Then, for the uniform distribution on the polygon taking the same conditional set, we investigate the conditional constrained optimal sets of nn-points and the conditional constrained quantization errors for all n6n \geq 6, taking the constraint as the circumcircle, incircle, and then the different diagonals of the polygon.

Keywords

Cite

@article{arxiv.2401.10987,
  title  = {Conditional constrained and unconstrained quantization for uniform distributions on regular polygons},
  author = {Christina Hamilton and Evans Nyanney and Megha Pandey and Mrinal K. Roychowdhury},
  journal= {arXiv preprint arXiv:2401.10987},
  year   = {2025}
}
R2 v1 2026-06-28T14:22:05.247Z