TY - BOOK
AU - Choe,Geon Ho
ED - SpringerLink (Online service)
TI - Computational Ergodic Theory
T2 - Algorithms and Computation in Mathematics,
SN - 9783540273059
AV - QA313
U1 - 515.39 23
PY - 2005///
CY - Berlin, Heidelberg
PB - Springer Berlin Heidelberg
KW - Differentiable dynamical systems
KW - Engineering mathematics
KW - Dynamical Systems and Ergodic Theory
KW - Theoretical, Mathematical and Computational Physics
KW - Mathematical and Computational Engineering
N1 - Prerequisites -- Invariant Measures -- The Birkhoff Ergodic Theorem -- The Central Limit Theorem -- More on Ergodicity -- Homeomorphisms of the Circle -- Mod 2 Uniform Distribution -- Entropy -- The Lyapunov Exponent: One-Dimensional Case -- The Lyapunov Exponent: Multidimensional Case -- Stable and Unstable Manifolds -- Recurrence and Entropy -- Recurrence and Dimension -- Data Compression
N2 - 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 physics majors. Many of the examples are introduced from a different perspective than in other books and theoretical ideas can be gradually absorbed while doing computer experiments. Theoretically less prepared students can appreciate the deep theorems by doing various simulations. The computer experiments are simple but they have close ties with theoretical implications. Even the researchers in the field can benefit by checking their conjectures, which might have been regarded as unrealistic to be programmed easily, against numerical output using some of the ideas in the book. One last remark: The last chapter explains the relation between entropy and data compression, which belongs to information theory and not to ergodic theory. It will help students to gain an understanding of the digital technology that has shaped the modern information society
UR - https://doi.org/10.1007/b138894
ER -