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Fractal and multifractal analysis in infinite-dimensional metric spaces

发布日期:2026-05-08点击数:

报告人:范爱华 教授(法国Picardie大学/武汉大学)

时间:2026年05月18日 09:30-

地点:理科楼LA104


摘要:Classical fractal and multifractal theories mostly study objects in finite-dimensional spaces. How should we deal with objects in infinite-dimensional spaces? The distribution of Brownian motion is a Borel probability measure supported on the infinite-dimensional space C([0,1]), which is not translation-invariant but only partially quasi-invariant under translation. Its local behavior exhibits multifractal characteristics. It is the nature of Brownian motion. We can adopt a more general concept of "scale" instead of dimension, and conduct quantitative studies leveraging a comprehensive understanding of Brownian motion. The distribution measures of stochastic processes remain largely unexplored, especially Gaussian measures on Banach spaces, such as the distribution of solution processes to stochastic differential equations driven by Brownian motion. We will present the basic theoretical framework and the viable methods for Gaussian measures on Hilbert spaces.


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重庆大学数学与统计学院的前身是始建于1929年的重庆大学理学院和1937年建立的重庆大学商学院,理学院是重庆大学最早设立的三个学院之一,首任院长为数学家何鲁先生。