2007
DOI: 10.1017/s0001867800001658
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Renewal of singularity sets of random self-similar measures

Abstract: This paper investigates new properties concerning the multifractal structure of a class of random self-similar measures. These measures include the well-known

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Cited by 7 publications
(15 citation statements)
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“…The second one contains limits of [0,1] d -martingales considered in the multiplicative chaos in the meaning of [21]. It is shown in [9,10,11] that these measures µ obey conditions P1-3 for suitable systems {(x n , λ n )} n (including those of Section 5·1) when h ranges in the interval where τ • (Random) Gibbs measures.…”
Section: ·2 Random Self-similar Measures Satisfying Conditions P1-3mentioning
confidence: 99%
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“…The second one contains limits of [0,1] d -martingales considered in the multiplicative chaos in the meaning of [21]. It is shown in [9,10,11] that these measures µ obey conditions P1-3 for suitable systems {(x n , λ n )} n (including those of Section 5·1) when h ranges in the interval where τ • (Random) Gibbs measures.…”
Section: ·2 Random Self-similar Measures Satisfying Conditions P1-3mentioning
confidence: 99%
“…The first examples are the independent multiplicative cascades, or Mandelbrot martingales introduced in [27] and then studied extensively in [27,23,18,29,28,1,15,4,5,10]. They are a particular case of a wider class of [0,1] d -martingales -see [7] which satisfy condition P2(µ, ρ, {(x n , λ n )}, h).…”
Section: ·2 Random Self-similar Measures Satisfying Conditions P1-3mentioning
confidence: 99%
“…We made this dyadic choice for sake of simplicity. Nevertheless, we mention that Theorem 4 also holds for measures that depend on a b-adic grid with b greater than 2 (see [12,13]). …”
Section: Multifractal Formalism For Measuresmentioning
confidence: 99%
“…In this work, we detail the example of dyadic Mandelbrot random multiplicative cascades, and we refer the reader to [12,13] for more details on statistical self-similar measures and for the proof of Theorem 4 in these cases. The wavelet series F µ associated with Mandelbrot cascades is particularly interesting, since the perturbations of such series allows us to derive the Hausdorff multifractal spectrum of the "random wavelet cascades" of Arnéodo, Bacry and Muzy [3].…”
Section: Wavelet Series Derived From Statistically Self-similar Measuresmentioning
confidence: 99%
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