Abstract
We analyze the extremes of stationary multifractal measures using large deviation theory. We consider various cases involving discrete multiplicative cascades: scalar or vector cascades with dependent or independent generators, bare or dressed measures, and marginal (single-point) or joint (multi-point) extremes. In each case, we obtain the scaling behavior of the probability of large deviations as the resolution of the cascade diverges. Existing rough exponential limits for scalar cascades are confirmed, whereas for other cases our scaling relationships differ from previously published results. For scalar cascades, we refine the rough limits by obtaining the asymptotic pre-factor to the exponential term. Based on these refined asymptotics, we propose a variant to the Probability Distribution/Multiple Scaling (PDMS) technique to estimate the co-dimension function c(γ).
References
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Dates
Type | When |
---|---|
Created | 22 years, 3 months ago (May 7, 2003, 12:18 a.m.) |
Deposited | 6 years ago (Aug. 7, 2019, 10:03 a.m.) |
Indexed | 1 year, 10 months ago (Oct. 17, 2023, 10:26 a.m.) |
Issued | 23 years, 5 months ago (March 1, 2002) |
Published | 23 years, 5 months ago (March 1, 2002) |
Published Online | 13 years, 3 months ago (April 30, 2012) |
Published Print | 23 years, 5 months ago (March 1, 2002) |
@article{VENEZIANO_2002, title={LARGE DEVIATIONS OF MULTIFRACTAL MEASURES}, volume={10}, ISSN={1793-6543}, url={http://dx.doi.org/10.1142/s0218348x02000872}, DOI={10.1142/s0218348x02000872}, number={01}, journal={Fractals}, publisher={World Scientific Pub Co Pte Lt}, author={VENEZIANO, DANIELE}, year={2002}, month=mar, pages={117–129} }