Ergodic theory is hard to study because it is based on measure theory, which is a technically difficult subject to master for ordinary students, especially for

This book is comprised of selected research articles developed from a workshop on Ergodic Theory, Probabilistic Methods and Applications, held in April 2012 at

This informal introduction provides a fresh perspective on isomorphism theory, which is the branch of ergodic theory that explores the conditions under which tw

"...the text is user friendly to the topics it considers and should be very accessible...Instructors and students of statistical measure theoretic courses will

Rich with examples and applications, this textbook provides a coherent and self-contained introduction to ergodic theory, suitable for a variety of one- or two-