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Lp-Solutions of Vector Refinement Equations with General Dilation Matrix
作者姓名:Song  LI  Ruei  Fang  HU  Xiang  Qing  WANG
作者单位:[1]Department of Mathematics, Zhejiang University, Hangzhou 310027, P. R. China [2]Department of Mathematics, Shaoxing University, Shaoxing 312000, P. R. China
基金项目:This project is supported by NSF of China under Grant No. 10071071 and No. 10471123
摘    要:The purpose of this paper is to investigate the solutions of refinement equations of the form ψ(x)∑α∈Z α(α)ψ(Mx-α),x∈R, where the vector of functions ψ = (ψ1,..., ψr)^T is in (Lp(R^n))^r, 0 〈 p≤∞, α(α), α ∈ Z^n, is a finitely supported sequence of r × r matrices called the refinement mask, and M is an s × s integer matrix such that limn→∞M^-n=0, In this article, we characterize the existence of an Lp=solution of the refinement equation for 0〈 p ≤∞, Our characterizations are based on the p-norm joint spectral radius.

关 键 词:加细方程  扩张矩阵  向量函数  存在性  光谱半径
收稿时间:2003-02-19
修稿时间:2003-02-192003-06-19

L p –Solutions of Vector Refinement Equations with General Dilation Matrix
Song LI Ruei Fang HU Xiang Qing WANG.Lp-Solutions of Vector Refinement Equations with General Dilation Matrix[J].Acta Mathematica Sinica,2006,22(1):51-60.
Authors:Song Li  Ruei Fang Hu  Xiang Qing Wang
Institution:(1) Department of Mathematics, Zhejiang University, Hangzhou 310027, P. R. China;(2) Department of Mathematics, Shaoxing University, Shaoxing 312000, P. R. China
Abstract:The purpose of this paper is to investigate the solutions of refinement equations of the form $ \varphi (x) = {\sum\limits_{\alpha \in \mathbb{Z}^{s} } {a(\alpha )\varphi {\left( {Mx - \alpha } \right)},x \in \mathbb{R}^{s} } }, $ where the vector of functions ? = (?1, . . . ,?r) T is in (L p (? s )) r , 0 < p ≤ ∞, a(α), α ∈ ? s ¸ is a finitely supported sequence of r× r matrices called the refinement mask, and M is an s × s integer matrix such that limn→ ∞ M n = 0. In this article, we characterize the existence of an L p –solution of the refinement equation for 0 < p ≤ ∞. Our characterizations are based on the p–norm joint spectral radius.
Keywords:Refinement equation  Joint spectral radii  Lp-solution
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