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Asymptotic uniformity of the quantization error of self-similar measures
Authors:Sanguo Zhu
Institution:1. Department of Mathematics, Huazhong University of Science and Technology, 430074, Wuhan, China
Abstract:Let??? be a self-similar measure on ${\mathbb{R}^d}$ associated with a family of contractive similitudes {S 1, . . . , S N } and a probability vector {p 1, . . . , p N }. Let ${(\alpha_n)_{n=1}^\infty}$ be a sequence of n-optimal sets for??? of order r. For each n, we denote by ${\{P_a(\alpha_n) : a \in \alpha_n\}}$ a Voronoi partition of ${\mathbb{R}^d}$ with respect to ?? n . Under the strong separation condition for {S 1, . . . , S N }, we show that the nth quantization error of??? of order ${r \in 1, \infty)}$ satisfies the following asymptotic uniformity property: $$\int \limits _{P_a(\alpha_n)}{\rm d}(x, a)^rd\mu(x) \asymp \frac{1}{n}V_{n,r}(\mu),\quad {\rm for\,all}\,a \in \alpha_n.$$
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