Variational principles for metric mean dimension

Metric mean dimension is a quantity to distinguish two different topological dynamical systems with infinite topological entropy.  In this talk, we present our  recent progress about  the variational principles for metric mean dimensions.  Especially, in the context of  random dynamical systems,  we  establish an  integral formula for upper metric mean dimension.  

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报告人简介：
陈二才，南京师范大学教授，博士生导师，研究方向为拓扑动力系统与遍历理论，研究内容涉及混沌理论，熵理论，热力学，重分形分形等。在《Advance in  Mathematics》、《J.Differential Equations》、《Ergodic Theory and Dynamical Systems》《Nonlinearity》和《中国科学》等国内外有影响的学术期刊上发表论文70余篇。主持国家自然科学基金项目5项，参加多项“973”项目。