Abstract
In this article, we consider the continuous analog of the celebrated Mandelbrot star equation with lognormal weights. Mandelbrot introduced this equation to characterize the law of multiplicative cascades. We show existence and uniqueness of measures satisfying the aforementioned continuous equation; these measures fall under the scope of the Gaussian multiplicative chaos theory developed by Kahane in 1985 (or possibly extensions of this theory). As a by product, we also obtain an explicit characterization of the covariance structure of these measures. We also prove that qualitative properties such as long-range independence or isotropy can be read off the equation.
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Allez, R., Rhodes, R. & Vargas, V. Lognormal \({\star}\) -scale invariant random measures. Probab. Theory Relat. Fields 155, 751–788 (2013). https://doi.org/10.1007/s00440-012-0412-9
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DOI: https://doi.org/10.1007/s00440-012-0412-9
Keywords
- Random measure
- Star equation
- Scale invariance
- Multiplicative chaos
- Multifractal processes
- Gaussian processes
Mathematics Subject Classification (2000)
- 60G57
- 60H25
- 60G15
- 60G18