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Canonical sequences of optimal quantization for condensation measures

Abstract

Let P:=13PS11+13PS21+13νP:=\frac 1 3 P\circ S_1^{-1}+\frac 13 P\circ S_2^{-1}+\frac 13\nu, where S1(x)=15xS_1(x)=\frac 15 x, S2(x)=15x+45S_2(x)=\frac 1 5 x+\frac 45 for all xRx\in \mathbb R, and ν\nu be a Borel probability measure on R\mathbb R with compact support. Such a measure PP is called a condensation measure, or an an inhomogeneous self-similar measure, associated with the condensation system ({S1,S2},(13,13,13),ν)(\{S_1, S_2\}, (\frac 13, \frac 13, \frac 13), \nu). Let D(μ)D(\mu) denote the quantization dimension of a measure μ\mu if it exists. Let κ\kappa be the unique number such that (13(15)2)κ2+κ+(13(15)2)κ2+κ=1(\frac 13 (\frac 15)^2)^{\frac {\kappa}{2+\kappa}}+(\frac 13 (\frac 15)^2)^{\frac {\kappa}{2+\kappa}}=1. In this paper, we have considered four different self-similar measures ν:=ν1,ν2,ν3,ν4\nu:=\nu_1, \nu_2, \nu_3, \nu_4 satisfying D(ν1)>κD(\nu_1)>\kappa, D(ν2)κD(\nu_2)\kappa, and D(ν4)=κD(\nu_4)=\kappa. For each measure ν\nu we show that there exist two sequences a(n)a(n) and F(n)F(n), which we call as canonical sequences. With the help of the canonical sequences, we obtain a closed formula to determine the optimal sets of F(n)F(n)-means and F(n)F(n)th quantization errors for the condensation measure PP for each ν\nu. Then, we show that for each measure ν\nu the quantization dimension D(P)D(P) of the condensation measure PP exists, and satisfies: D(P)=max{κ,D(ν)}D(P)=\max\{\kappa, D(\nu)\}. Moreover, we show that for D(ν1)>κD(\nu_1)>\kappa, the D(P)D(P)-dimensional lower and upper quantization coefficients are finite, positive and unequal; on the other hand, for ν=ν2,ν3,ν4\nu=\nu_2, \nu_3, \nu_4, the D(P)D(P)-dimensional lower quantization coefficient is infinity. This shows that for D(ν)>κD(\nu)>\kappa, the D(P)D(P)-dimensional lower and upper quantization coefficients can be either finite, positive and unequal, or it can be infinity

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