Optimal quantization for a probability measure on a nonuniform stretched Sierpi\'nski triangle

Abstract

Quantization for a Borel probability measure refers to the idea of estimating a given probability by a discrete probability with support containing a finite number of elements. In this paper, we have considered a Borel probability measure P on R2, which has support a nonuniform stretched Sierpi\'nski triangle generated by a set of three contractive similarity mappings on R2. For this probability measure, we investigate the optimal sets of n-means and the nth quantization errors for all positive integers n.

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