Nonlinear Sciences – Chaotic Dynamics
Scientific paper
2010-10-27
Nonlinear Sciences
Chaotic Dynamics
8 pages, 3 figures, 1 table: http://cse.ucdavis.edu/~cmg/compmech/pubs/kro.htm
Scientific paper
We survey the variety of ways in which one synchronizes to a stochastic process. We define associated length scales, providing characterization theorems and efficient algorithms for their calculation. We demonstrate that many of the length scales are minimized by using the epsilon-machine, compared to all of a process's alternative models. We also show that the concept of Markov order, familiar in stochastic process theory, is a topological property of the epsilon-machine presentation. Moreover, we find that it can only be computed when using the epsilon-machine, not any alternative. We illustrate the results by presenting evidence that infinite Markov order and infinite crypticity are dominant properties in the space of finite-memory processes.
Crutchfield James P.
Ellison Christopher J.
James Ryan G.
Mahoney John R.
No associations
LandOfFree
Many Roads to Synchrony: Natural Time Scales and Their Algorithms does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Many Roads to Synchrony: Natural Time Scales and Their Algorithms, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Many Roads to Synchrony: Natural Time Scales and Their Algorithms will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-484407