Quantization for uniform distributions on hexagonal, semicircular, and elliptical curves

Gabriela Pena, Hansapani Rodrigo, Mrinal Kanti Roychowdhury, Josef Sifuentes, Erwin Suazo

Published 2019-02-07Version 1

In this paper, first we have defined the uniform distribution on the boundary of a regular hexagon, and then investigate the optimal sets of $n$-means and the $n$th quantization errors for all positive integers $n$. We give an exact formula to determine them if $n$ is of the form $n=6k+6$ for some positive integer $k$. We further calculate the quantization dimension, and the quantization coefficient, and show that the quantization dimension is equal to the dimension of the object, and the quantization coefficient exists as a finite positive number, which supports the well-known result of Bucklew and Wise (1982), which says that for a Borel probability measure $P$ with non-vanishing absolutely continuous part the quantization coefficient exists as a finite positive number. Then, we define the uniform distribution on the boundary of a semicircular disc, and obtain a sequence and an algorithm, which help us to determine the optimal sets of $n$-means and the $n$th quantization errors for all positive integers $n$ with respect to the uniform distribution. Finally, for a uniform distribution defined on an elliptical curve, we investigate the optimal sets of $n$-means and the $n$th quantization errors for all positive integers $n$.