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Ergodic dynamics = from basic theory...

Hawkins, Jane.

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Ergodic dynamics = from basic theory to applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Ergodic dynamics/ by Jane Hawkins.
其他題名:	from basic theory to applications /
作者:	Hawkins, Jane.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xiv, 336 p. :ill. (some col.), digital ;24 cm.
內容註:	Preface -- The simplest examples -- Dynamical Properties of Measurable Transformations -- Attractors in Dynamical Systems -- Ergodic Theorems -- Mixing Properties of Dynamical Systems -- Shift Spaces -- Perron-Frobenius Theorem and Some Applications -- Invariant Measures -- No equivalent invariant measures: Type III maps -- Dynamics of Automorphisms of the Torus and Other Groups -- An Introduction to Entropy -- Complex Dynamics -- Maximal Entropy Measures on Julia Sets and a Computer Algorithm -- Cellular Automata -- Appendix A. Measures on Topological Spaces -- Appendix B. Integration and Hilbert Spaces -- Appendix C. Connections to Probability Theory -- Bibliography -- Index.
Contained By:	Springer Nature eBook
標題:	Differentiable dynamical systems. -
電子資源:	https://doi.org/10.1007/978-3-030-59242-4
ISBN:	9783030592424

Ergodic dynamics = from basic theory to applications /
Hawkins, Jane.

Ergodic dynamicsfrom basic theory to applications /[electronic resource] :by Jane Hawkins. - Cham :Springer International Publishing :2021. - xiv, 336 p. :ill. (some col.), digital ;24 cm. - Graduate texts in mathematics,2890072-5285 ;. - Graduate texts in mathematics ;289..

Preface -- The simplest examples -- Dynamical Properties of Measurable Transformations -- Attractors in Dynamical Systems -- Ergodic Theorems -- Mixing Properties of Dynamical Systems -- Shift Spaces -- Perron-Frobenius Theorem and Some Applications -- Invariant Measures -- No equivalent invariant measures: Type III maps -- Dynamics of Automorphisms of the Torus and Other Groups -- An Introduction to Entropy -- Complex Dynamics -- Maximal Entropy Measures on Julia Sets and a Computer Algorithm -- Cellular Automata -- Appendix A. Measures on Topological Spaces -- Appendix B. Integration and Hilbert Spaces -- Appendix C. Connections to Probability Theory -- Bibliography -- Index.

This textbook provides a broad introduction to the fields of dynamical systems and ergodic theory. Motivated by examples throughout, the author offers readers an approachable entry-point to the dynamics of ergodic systems. Modern and classical applications complement the theory on topics ranging from financial fraud to virus dynamics, offering numerous avenues for further inquiry. Starting with several simple examples of dynamical systems, the book begins by establishing the basics of measurable dynamical systems, attractors, and the ergodic theorems. From here, chapters are modular and can be selected according to interest. Highlights include the Perron-Frobenius theorem, which is presented with proof and applications that include Google PageRank. An in-depth exploration of invariant measures includes ratio sets and type III measurable dynamical systems using the von Neumann factor classification. Topological and measure theoretic entropy are illustrated and compared in detail, with an algorithmic application of entropy used to study the papillomavirus genome. A chapter on complex dynamics introduces Julia sets and proves their ergodicity for certain maps. Cellular automata are explored as a series of case studies in one and two dimensions, including Conway's Game of Life and latent infections of HIV. Other chapters discuss mixing properties, shift spaces, and toral automorphisms. Ergodic Dynamics unifies topics across ergodic theory, topological dynamics, complex dynamics, and dynamical systems, offering an accessible introduction to the area. Readers across pure and applied mathematics will appreciate the rich illustration of the theory through examples, real-world connections, and vivid color graphics. A solid grounding in measure theory, topology, and complex analysis is assumed; appendices provide a brief review of the essentials from measure theory, functional analysis, and probability.

ISBN: 9783030592424

Standard No.: 10.1007/978-3-030-59242-4doiSubjects--Topical Terms:

524351
Differentiable dynamical systems.

LC Class. No.: QA614.8 / .H395 2021

Dewey Class. No.: 515.48

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520 $a This textbook provides a broad introduction to the fields of dynamical systems and ergodic theory. Motivated by examples throughout, the author offers readers an approachable entry-point to the dynamics of ergodic systems. Modern and classical applications complement the theory on topics ranging from financial fraud to virus dynamics, offering numerous avenues for further inquiry. Starting with several simple examples of dynamical systems, the book begins by establishing the basics of measurable dynamical systems, attractors, and the ergodic theorems. From here, chapters are modular and can be selected according to interest. Highlights include the Perron-Frobenius theorem, which is presented with proof and applications that include Google PageRank. An in-depth exploration of invariant measures includes ratio sets and type III measurable dynamical systems using the von Neumann factor classification. Topological and measure theoretic entropy are illustrated and compared in detail, with an algorithmic application of entropy used to study the papillomavirus genome. A chapter on complex dynamics introduces Julia sets and proves their ergodicity for certain maps. Cellular automata are explored as a series of case studies in one and two dimensions, including Conway's Game of Life and latent infections of HIV. Other chapters discuss mixing properties, shift spaces, and toral automorphisms. Ergodic Dynamics unifies topics across ergodic theory, topological dynamics, complex dynamics, and dynamical systems, offering an accessible introduction to the area. Readers across pure and applied mathematics will appreciate the rich illustration of the theory through examples, real-world connections, and vivid color graphics. A solid grounding in measure theory, topology, and complex analysis is assumed; appendices provide a brief review of the essentials from measure theory, functional analysis, and probability.
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