#### Document Type

Article

#### Publication Date

2020

#### Abstract

The quantization scheme in probability theory deals with finding a best approximation of a given probability distribution by a probability distribution that is supported on finitely many points. For a given k ≥ 2, let {Sj : 1 ≤ j ≤ k} be a set of k contractive similarity mappings such that Sj(x) = 1 2k−1x + 2(j−1) 2k−1 for all x ∈ R, and let P = 1 k Pk j=1 P ◦ S−1 j . Then, P is a unique Borel probability measure on R such that P has support the Cantor set generated by the similarity mappings Sj for 1 ≤ j ≤ k. In this paper, for the probability measure P, when k = 3, we investigate the optimal sets of n-means and the nth quantization errors for all n ≥ 2. We further show that the quantization coefficient does not exist though the quantization dimension exists

#### Recommended Citation

Roychowdhury, Mrinal K. 2020. “The Quantization of the Standard Triadic Cantor Distribution.” HOUSTON JOURNAL OF MATHEMATICS 46 (2): 389–407.

#### First Page

389

#### Last Page

407

#### Publication Title

HOUSTON JOURNAL OF MATHEMATICS