Asymptotics of the geometric mean error for in-homogeneous self-similar measures
Abstract: Let $(f_i){i=1}N$ be a family of contractive similitudes on $\mathbb{R}q$ satisfying the open set condition. Let $(p_i){i=0}N$ be a probability vector with $p_i>0$ for all $i=0,1,\ldots,N$. We study the asymptotic geometric mean errors $e_{n,0}(\mu),n\geq 1$, in the quantization for the in-homogeneous self-similar measure $\mu$ associated with the condensation system $((f_i){i=1}N,(p_i){i=0}N,\nu)$. We focus on the following two independent cases: (I) $\nu$ is a self-similar measure on $\mathbb{R}q$ associated with $(f_i){i=1}N$; (II) $\nu$ is a self-similar measure associated with another family of contractive similitudes $(g_i){i=1}M$ on $\mathbb{R}q$ satisfying the open set condition and $((f_i){i=1}N,(p_i){i=0}N,\nu)$ satisfies a version of in-homogeneous open set condition. We show that, in both cases, the quantization dimension $D_0(\mu)$ of $\mu$ of order zero exists and agrees with that of $\nu$, which is independent of the probability vector $(p_i){i=0}N$. We determine the convergence order of $(e{n,0}(\mu)){n=1}\infty$; namely, for $D_0(\mu)=:d_0$, there exists a constant $D>0$, such that [ D{-1}n{-\frac{1}{d_0}}\leq e{n,0}(\mu)\leq D n{-\frac{1}{d_0}}, n\geq 1. ]
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