Abstract
Positive T-martingales were developed as a general framework that extends the positive measure-valued martingales and are meant to model intermittent turbulence. We extend their scope by allowing the martingale to take complex values. We focus on martingales constructed on the interval T = [0, 1] and replace random measures by random functions. We specify a large class of such martingales for which we provide a general sufficient condition for almost sure uniform convergence to a nontrivial limit. Such a limit yields new examples of naturally generated multifractal processes that may be of use in multifractal signals modeling. © Institute of Mathematical Statistics, 2010.
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Barral, J., Jin, X., & Mandelbrot, B. (2010). Uniform convergence for complex [0,1]-martingales. Annals of Applied Probability, 20(4), 1205–1218. https://doi.org/10.1214/09-AAP664
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