Abstract
Abstract
Potential connections between fractals and randomness could improve our ability to make predictions. This study uncovers such connections between fractals and recurrent processes generated by uniformly distributed events. The multifractal spectrum of the proposed recurrent process is depicted, and its self-similar structure is revealed. The results remain unaffected by the choice of the discrete random generator, and various options such as pi digits, live roulette spins, or the flip of a fair die can be employed. The implications extend beyond the immediate scope of this research, offering a potential catalyst for advancements in predictive modeling and analysis within various domains. Additionally, new insights regarding complex and random systems are provided.
Publisher
Research Square Platform LLC
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