Information Perspective on Turbulence

Turbulence is a complex system. Information theory, and the more recently developed computational mechanics, provide quantitative tools for quantifying this ``complexity" in terms of predictability. This thesis is concerned with using these tools with experimental turbulence data. The focus will be on two-dimensional turbulence, but other (mostly turbulent) systems are treated as well. The role of information theory in physical systems in general will also be discussed. This framework is general and easily applicable to almost any other kind of system, as will be shown