Theses and Dissertations
Date of Award
12-2018
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Mathematics
First Advisor
Dr. Mrinal Kanti Roychowdhury
Second Advisor
Dr. Andras Balogh
Third Advisor
Dr. Jasang Yoon
Abstract
Let P := (1/3)P ○ S1–1 + (1/3)P ○ S2–1 + (1/3)v be a condensation measure on R, where S1(x) = (1/5)x, S2(x) = (1/5)x + 4/5 for all x ∈ R , and v is a discrete distribution on R with the support of v equals C := {(2/5), (3/5)}. For such a measure P we determine the optimal sets of n–means and the nth quantization errors for all n ≥ 2. In addition, we show that the quantization dimension of the condensation measure P exists and equals κ,where κ is the unique number given by ((1/3)(1/5)2)(κ/(2 + κ)) + ((1/3)(1/5)2) (κ/(2 + κ)) = 1, the quantization coefficient for P does not exist, and the D( P)-dimensional lower and upper quantization coefficients for P are finite and positive.
Recommended Citation
Parajulee, Shankar, "Asymptotic Quantization for a Condensation System Associated with a Discrete Distribution" (2018). Theses and Dissertations. 563.
https://scholarworks.utrgv.edu/etd/563
Comments
Copyright 2018 Shankar Parajulee. All Rights Reserved.
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