Related Experiment Video
Updated: Aug 9, 2026

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
Published on: June 15, 2018
Maximal functions and h spaces defined by ergodic transformations
1Department of Mathematics, Washington University, St. Louis, Missouri 63130.
Abstract:
Suppose an ergodic flow acts on a probability space enabling us to introduce the Ergodic Hilbert transform f of f in L(p)(), 1 <== p <== infinity. H(1) is the class of all functions of the form f + if in L(1)(). We show that H(1) can be characterized in terms of a class of maximal functions; moreover, the dual space of H(1) is identified with a space of functions of bounded mean oscillation defined in terms of the flow.
Related Concept Videos
Transformations of Functions II
Entropy Change in Reversible Processes
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
Limits of Multivariable Functions
Applications of Integration to Probability Density Functions
Transformations of Functions III
Transformations of Functions I

