Conditional constrained and unconstrained quantization for uniform distributions on regular polygons

Fuente: arXiv
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Main Authors: Hamilton, Christina, Nyanney, Evans, Pandey, Megha, Roychowdhury, Mrinal K.
Format: Preprint
Published: 2024
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author Hamilton, Christina
Nyanney, Evans
Pandey, Megha
Roychowdhury, Mrinal K.
author_facet Hamilton, Christina
Nyanney, Evans
Pandey, Megha
Roychowdhury, Mrinal K.
contents In this paper, we have considered a uniform distribution on a regular polygon with $k$-sides for some $k\geq 3$ and the set of all its $k$ vertices as a conditional set. For the uniform distribution under the conditional set first, for all positive integers $n\geq k$, we obtain the conditional optimal sets of $n$-points and the $n$th 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 $n$-points and the conditional constrained quantization errors for all $n \geq 6$, taking the constraint as the circumcircle, incircle, and then the different diagonals of the polygon.
format Preprint
id arxiv_https___arxiv_org_abs_2401_10987
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Conditional constrained and unconstrained quantization for uniform distributions on regular polygons
Hamilton, Christina
Nyanney, Evans
Pandey, Megha
Roychowdhury, Mrinal K.
Probability
60Exx, 94A34
In this paper, we have considered a uniform distribution on a regular polygon with $k$-sides for some $k\geq 3$ and the set of all its $k$ vertices as a conditional set. For the uniform distribution under the conditional set first, for all positive integers $n\geq k$, we obtain the conditional optimal sets of $n$-points and the $n$th 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 $n$-points and the conditional constrained quantization errors for all $n \geq 6$, taking the constraint as the circumcircle, incircle, and then the different diagonals of the polygon.
title Conditional constrained and unconstrained quantization for uniform distributions on regular polygons
topic Probability
60Exx, 94A34
url https://arxiv.org/abs/2401.10987