稳定分量过程象集的一致测度和一致维数

令X(t)=(X_1(t),…,X_N(t))为一d-维过程,其中X_i(t)为α_i-阶d_i-维稳定过程.设0<α_n<…<α_1≤2,d=d_1 … d_N.本文中,我们获得了,当α_1≤d_1时稳定分量过程X(t)关于Borel集E的象X(E)的Hausdorff测度和Packing测度的一致上界和一致下界,当α_1>d_1时得到了相应测度的一个一致上界.同时我们给出了一致维数结果.     

自相似集的质量分布原理与Hausdorff测度及其应用

本文提出了满足开集条件的自相似集的质量分布原理.作为应用,得到了计算一类满足开集条件的自相似集的Hausdorff测度的准确值的方法,并举例说明了此方法对于计算一类满足开集条件的自相似集的Hausdorff测度的准确值是行之有效的.     

一类多指标随机过程样本轨道的Hausdorff维数

设｛Ｘ（ｔ，ｗ）；ｔ∈［０，１］Ｎ｝是Ｒｄ值轨道连续的随机过程，在条件：存在常数０＜α＜１，Ｍ＞０，β≥ｄ使　下，我们得到了Ｘ关于紧集的象和图以及水平集的Ｈａｕｓｄｏｒｆｆ维数的最佳上界，同时在条件：存在常数ａ．α，ｄ＇＞０使　下，我们获得了Ｘ关于紧集的象和图的Ｈａｕｓｄｏｒｆｆ维数的最佳下界以及存在平方可积的局部时．     

广义统计自相似集的Hausdorff维数估计

作者进一步研究了在文章［１］中构造的广义统计自相似集的分形性质，得到了这类集合的Hausdorff维数和确切Hausdorff测度函数。文中的结果是［4］中结果的延拓。     

多型随机递归集关于统计自相似测度的Multifractal分解

本文构造了一类多型随机递归集Ｋ,并利用 Ｆａｌｃｏｎｅｒ的方法［１］获得了Ｋ的重分形分解集Ｋａ（ａ＞０）的Ｈａｕｓｄｏｒｆｆ维数和Ｐａｃｋｉｎｇ维数．     

N指标d维广义Wiener过程像集的一致维数

研究了N指标d维广义Wiener过程像集的一致维数和测度，得到了其像集的致Hausdorff维数和一致Packing维数。     

拟相似集的Hausdorff测度的特征

Siegfried GRAF在文献［1］中给出了自相似集上的Hausdorff测度(简称H-测度)的特征.John McLaughlin在文献［2］中引入了拟相似集的概念,K.J.Falconer又在文献［3］中讨论了拟相似集上H-测度和维数的性质.本文研究拟相似集上的H-测度的特征,并得出在一定条件下支撑于其上满足一定条件的测度与H-测度的等价性条件.     

非退化扩散过程的水平集和极集

设X(t)(t∈R )是一个d维非退化扩散过程．本文得到了比原有结果更一般的非退化扩散过程极性的充分条件,证明了对任意u∈Rd,紧集E(0, ∞),有若d=1,则对任意紧集F(?)R, 若d≥2,则对任意紧集E ∈(0, ∞), 其中B(Rd)为Rd上的Borel σ-代数,dim和Dim分别表示Hausdorff维数和Packing 维数．     

一类准自相似集的研究

本文引入并研究了准自相似集，利用动力系统技巧讨论了其Ｈａｕｓｄｏｒｆｆ维数的上、下界，得到了一类严格准自相似集的Ｈａｕｓｄｏｒｆｆ维数公式并确定了一类由共形映射族所确定的准自相似集的Ｈａｕｓｄｏｒｆｆ维数．     

多型随机递归集关于统计自相似测度的Multifractal分解

本文构造了一类多型随机递归集K,并利用Falconer的方法[1]获得了K的重分形分解集Kα(α>0)的Hausdorff维数和Packing维数.     

On different forms of self similarity

Fractal geometry is mainly based on the idea of self-similar forms. To be self-similar, a shape must able to be divided into parts that are smaller copies, which are more or less similar to the whole. There are different forms of self similarity in nature and mathematics. In this paper, some of the topological properties of super self similar sets are discussed. It is proved that in a complete metric space with two or more elements, the set of all non super self similar sets are dense in the set of all non-empty compact sub sets. It is also proved that the product of self similar sets are super self similar in product metric spaces and that the super self similarity is preserved under isometry. A characterization of super self similar sets using contracting sub self similarity is also presented. Some relevant counterexamples are provided. The concepts of exact super and sub self similarity are introduced and a necessary and sufficient condition for a set to be exact super self similar in terms of condensation iterated function systems (Condensation IFS’s) is obtained. A method to generate exact sub self similar sets using condensation IFS’s and the denseness of exact super self similar sets are also discussed.     

Tangent measure distributions of fractal measures

Tangent measure distributions provide a natural tool to study the local geometry of fractal sets and measures in Euclidean spaces. The idea is, loosely speaking, to attach to every point of the set a family of random measures, called the -dimensional tangent measure distributions at the point, which describe asymptotically the -dimensional scenery seen by an observer zooming down towards this point. This tool has been used by Bandt [BA] and Graf [G] to study the regularity of the local geometry of self similar sets, but in this paper we show that its scope goes much beyond this situation and, in fact, it may be used to describe a strong regularity property possessed by every measure: We show that, for every measure on a Euclidean space and any dimension , at -almost every point, all -dimensional tangent measure distributions are Palm measures. This means that the local geometry of every dimension of general measures can be described – like the local geometry of self similar sets – by means of a family of statistically self similar random measures. We believe that this result reveals a wealth of new and unexpected information about the structure of such general measures and we illustrate this by pointing out how it can be used to improve or generalize recently proved relations between ordinary and average densities. Received: 27 November 1996 / Revised version: 27 February 1998     

Fractals and Number Systems in Real Quadratic Number Fields

In this paper we compute the box counting dimension of sets, that are related to number systems in real quadratic number fields. The sets under discussion are so-called graph-directed self affine sets. Contrary to the case of self similar sets, for self affine sets there does not exist a general theory for the determination of the box counting dimension. Thus we are forced to construct the covers, needed for its calculation, directly. This revised version was published online in July 2006 with corrections to the Cover Date.     

随机次自相似集的表示

本文引进了随机次自相似集与随机推移集的概念,讨论了随机次自相似集的结构,并证明了任一随机集是随机次自相似集的充分必要条件是：该随机集可以表为某一个随机推移集的某个像集。     

广义Cantor集的自相似性

本文考虑一类广义Cantor集Γ_(β,の)={∞∑n=1dnβn:dn∈Dn,n≥1}的自相似性,其中0β1且对任意的n≥1,D_n为整数集Z的非空有限子集;并且给出Γ_(β,の)为齐次生成自相似集的充分必要条件.作为应用,本文考虑一类广义Cantor集交的自相似性,部分推广了Li,Yao和Zhang(2011)关于自相似性的结果.     

SPLIT INCLUSION AND METRICALLY NUCLEAR MAP

ＳＰＬＩＴＩＮＣＬＵＳＩＯＮＡＮＤＭＥＴＲＩＣＡＬＬＹＮＵＣＬＥＡＲＭＡＰＷＵＬＩＡＮＧＳＥＮＭａｎｕｓｃｒｉｐｔｒｅｃｅｉｖｅｄＪｕｎｅ６，１９９４．ＤｅｐａｒｔｍｅｎｔｏｆＭａｔｈｅｍａｔｉｃｓ，ＥａｓｔＣｈｉｎａＮｏｒｍａｌＵｎｉｖｅｒ...     

On the Lipschitz equivalence of self‐affine sets

Recently Lipschitz equivalence of self‐similar sets on has been studied extensively in the literature. However for self‐affine sets the problem is more awkward and there are very few results. In this paper, we introduce a w‐Lipschitz equivalence by repacing the Euclidean norm with a pseudo‐norm w. Under the open set condition, we prove that any two totally disconnected integral self‐affine sets with a common matrix are w‐Lipschitz equivalent if and only if their digit sets have equal cardinality. The main methods used are the technique of pseudo‐norm and Gromov hyperbolic graph theory on iterated function systems.     

Dimensions for random self–conformal sets

A set is called regular if its Hausdorff dimension and upper box–counting dimension coincide. In this paper, we prove that the random self–conformal set is regular almost surely. Also we determine the dimensions for a class of random self–conformal sets.     

Probability properties and fractal properties of statistically recursive sets

In this paper we construct a class of statistically recursive sets K by statistical contraction operators and prove the convergence and the measurability of K. Many important sets are the special cases of K. Then we investigate the statistically self-similar measure (or set). We have found some sufficient conditions to ensure the statistically recursive set to be statistically self-similar. We also investigate the distribution PK-1. The zero-one laws and the support of PK-1 are obtained.Finally the Hausdorff dimension and Hausdorff exact measure function of a class of statistically recursive sets constructed by a collection of i.i.d. statistical contraction operators have been obtained.