2003
DOI: 10.1007/s00365-002-0515-0
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Self-Affine Sets and Graph-Directed Systems

Abstract: Abstract. A self-affine set in R n is a compact set T with A(T ) = d∈D (T +d) whereA is an expanding n × n matrix with integer entries andis an N -digit set. For the case N = |det(A)| the set T has been studied in great detail in the context of self-affine tiles. Our main interest in this paper is to consider the case N > |det(A)|, but the theorems and proofs apply to all the N . The self-affine sets arise naturally in fractal geometry and, moreover, they are the support of the scaling functions in wavelet the… Show more

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Cited by 43 publications
(55 citation statements)
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“…Hence we can determine whether K • = ∅ in at most 2 N steps. It is known that the Lebesgue measure of such a K is a rational number [14], and is an integer if K is a tile [19]. We prove Theorem 1.3.…”
mentioning
confidence: 85%
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“…Hence we can determine whether K • = ∅ in at most 2 N steps. It is known that the Lebesgue measure of such a K is a rational number [14], and is an integer if K is a tile [19]. We prove Theorem 1.3.…”
mentioning
confidence: 85%
“…This section is devoted to the calculation of the Lebesgue measure and Hausdorff dimension of integral selfaffine sets. These problems have been investigated in [37] and [14]. We will make use of the matrix representation of Section 3 to give an alternative approach, which unifies the considerations with the measures and functions and seems to be simpler.…”
Section: Examplesmentioning
confidence: 99%
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“…Let e be the (m + 1)-vector with all entries equal to 1 and let e i be an (m + 1)-vector with the ith entry 1 and zero otherwise. It is not difficult to prove that #S n = e t 0 B n e where S n is used in (3.1) [HLR,Proposition 4.1], which satisfies…”
Section: Proofs Of Theorems 13 and 14mentioning
confidence: 99%
“…From now on we omit "integral" in those notations for simplicity. When the Lebesgue measure of T , denoted by L(T ), is larger than zero, we call T a self-affine region ([6], [7]), which Partially supported by NNSF of China.…”
Section: Introductionmentioning
confidence: 99%