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Fractal and Multifractal Dimensions of Prevalent Measures

机译:分形维数的分形和多重分形维数

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摘要

Let K be a compact subset of R~d and write P(K) for the family of Borel probability measures on K. In this paper we study different fractal and multifractal dimensions of measures μ in P(K) that are generic in the sense of prevalence. We first prove a general result, namely, for an arbitrary "dimension" function Δ : P(K)→R satisfying various natural scaling and monotonicity conditions, we obtain a formula for the "dimension" Δ (μ) of a prevalent measure μ in P(K); this is the content of Theorem 1.1. By applying Theorem 1.1 to appropriate choices of Δ we obtain the following results.
机译:令K为R〜d的紧凑子集,并为K上的Borel概率测度族写P(K)。在本文中,我们研究了P(K)中测度μ的不同分形和多重分形维流行。我们首先证明一个一般结果,即,对于满足各种自然标度和单调性条件的任意“维”函数Δ:P(K)→R,我们获得了一个普遍度量μ的“维”Δ(μ)的公式。在P(K);这就是定理1.1的内容。通过将定理1.1应用于Δ的适当选择,我们得到以下结果。

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