Ergodicity (3rd edition) PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Ergodicity (3rd edition) PDF full book. Access full book title Ergodicity (3rd edition) by Luca Dellanna. Download full books in PDF and EPUB format.
Author: Luca Dellanna
Publisher: Luca Dell'anna
ISBN:
Category : Business & Economics
Languages : en
Pages : 182
Get Book Here
Book Description
Some reviews of Luca's previous books "This book is like a magnificent suspension bridge, linking the science of the human brain to the practical craft of applying it in everyday life. I loved it." – Rory Sutherland, Ogilvy's Vice Chairman “So insightful with common sense applications of Complexity and the ability to communicate clearly!!” – Bob Klapetzky. “A SUPERB book [...] by one of the profound thinkers in our field [behavioral economics].” – Michal G. Bartlett What's ergodicity, and why it matters? "The Most Important Property to Understand in Probability, in Life, in Anything." – Nassim Nicholas Taleb on ergodicity. "I think the most under-rated idea is ergodicity." – David Perell, author. Is ergodicity the most important concept in decision-making and behavioral sciences? (Yes.) Is it relevant for you in your daily life? (Yes.) Is it possible to explain it so simply that a grandma or a high-schooler can understand it? (Yes.) Even if they know nothing about maths? (Yes.) That's because ergodicity is an important idea with so many practical applications. Sadly, most books describe it in a very technical way, making it inaccessible to most people. In this short book, 6-times author Luca Dellanna describes ergodicity as simply as possible. You will read stories about how not knowing about it destroyed his cousin’s career as a skier, or how misunderstanding it caused additional deaths during the pandemic. You will learn how to spot situations in which ergodicity matters and the three strategies to react appropriately. The book is approximately 169 pages long, of which 143 are pure content and the rest tables of content, etc. Who is this book for? This book is for readers interested in growing themselves, their career, or their business, and who want to learn about ergodicity and its practical applications without having to understand its mathematical foundation. No mathematical knowledge is required, only a high-school level understanding of English. Readers who want to master the theory and mathematical foundation of ergodicity are better off reading a more formal manuscript. This book is not a substitute for it, but a complement. About the author Luca Dellanna is the author of 6 books. He is a researcher in complexity science and emergent behaviors, and an operational excellence consultant. He spoke at Nudgestock and regularly teaches risk management in masters. His personal website is Luca-Dellanna.com and his Twitter is @DellAnnaLuca.
Author: Luca Dellanna
Publisher: Luca Dell'anna
ISBN:
Category : Business & Economics
Languages : en
Pages : 182
Get Book Here
Book Description
Some reviews of Luca's previous books "This book is like a magnificent suspension bridge, linking the science of the human brain to the practical craft of applying it in everyday life. I loved it." – Rory Sutherland, Ogilvy's Vice Chairman “So insightful with common sense applications of Complexity and the ability to communicate clearly!!” – Bob Klapetzky. “A SUPERB book [...] by one of the profound thinkers in our field [behavioral economics].” – Michal G. Bartlett What's ergodicity, and why it matters? "The Most Important Property to Understand in Probability, in Life, in Anything." – Nassim Nicholas Taleb on ergodicity. "I think the most under-rated idea is ergodicity." – David Perell, author. Is ergodicity the most important concept in decision-making and behavioral sciences? (Yes.) Is it relevant for you in your daily life? (Yes.) Is it possible to explain it so simply that a grandma or a high-schooler can understand it? (Yes.) Even if they know nothing about maths? (Yes.) That's because ergodicity is an important idea with so many practical applications. Sadly, most books describe it in a very technical way, making it inaccessible to most people. In this short book, 6-times author Luca Dellanna describes ergodicity as simply as possible. You will read stories about how not knowing about it destroyed his cousin’s career as a skier, or how misunderstanding it caused additional deaths during the pandemic. You will learn how to spot situations in which ergodicity matters and the three strategies to react appropriately. The book is approximately 169 pages long, of which 143 are pure content and the rest tables of content, etc. Who is this book for? This book is for readers interested in growing themselves, their career, or their business, and who want to learn about ergodicity and its practical applications without having to understand its mathematical foundation. No mathematical knowledge is required, only a high-school level understanding of English. Readers who want to master the theory and mathematical foundation of ergodicity are better off reading a more formal manuscript. This book is not a substitute for it, but a complement. About the author Luca Dellanna is the author of 6 books. He is a researcher in complexity science and emergent behaviors, and an operational excellence consultant. He spoke at Nudgestock and regularly teaches risk management in masters. His personal website is Luca-Dellanna.com and his Twitter is @DellAnnaLuca.
Author: Karma Dajani
Publisher: American Mathematical Soc.
ISBN: 0883850346
Category : Mathematics
Languages : en
Pages : 201
Get Book Here
Book Description
Ergodic Theory of Numbers looks at the interaction between two fields of mathematics: number theory and ergodic theory (as part of dynamical systems). It is an introduction to the ergodic theory behind common number expansions, like decimal expansions, continued fractions, and many others. However, its aim does not stop there. For undergraduate students with sufficient background knowledge in real analysis and graduate students interested in the area, it is also an introduction to a "dynamical way of thinking". The questions studied here are dynamical as well as number theoretical in nature, and the answers are obtained with the help of ergodic theory. Attention is focused on concepts like measure-preserving, ergodicity, natural extension, induced transformations, and entropy. These concepts are then applied to familiar expansions to obtain old and new results in an elegant and straightforward manner. What it means to be ergodic and the basic ideas behind ergodic theory will be explained along the way. The subjects covered vary from classical to recent, which makes this book appealing to researchers as well as students.
Author: Mike Mesterton-Gibbons
Publisher: American Mathematical Soc.
ISBN: 0821819291
Category : Mathematics
Languages : en
Pages : 394
Get Book Here
Book Description
This is an introduction to game theory and applications with an emphasis on self-discovery from the perspective of a mathematical modeller. The book deals in a unified manner with the central concepts of both classical and evolutionary game theory. The key ideas are illustrated throughout by a wide variety of well-chosen examples of both human and non-human behavior, including car pooling, price fixing, food sharing, sex allocation and competition for territories or oviposition sites. There are numerous exercises with solutions.
Author: Yves Coudène
Publisher: Springer
ISBN: 1447172876
Category : Mathematics
Languages : en
Pages : 192
Get Book Here
Book Description
This textbook is a self-contained and easy-to-read introduction to ergodic theory and the theory of dynamical systems, with a particular emphasis on chaotic dynamics. This book contains a broad selection of topics and explores the fundamental ideas of the subject. Starting with basic notions such as ergodicity, mixing, and isomorphisms of dynamical systems, the book then focuses on several chaotic transformations with hyperbolic dynamics, before moving on to topics such as entropy, information theory, ergodic decomposition and measurable partitions. Detailed explanations are accompanied by numerous examples, including interval maps, Bernoulli shifts, toral endomorphisms, geodesic flow on negatively curved manifolds, Morse-Smale systems, rational maps on the Riemann sphere and strange attractors. Ergodic Theory and Dynamical Systems will appeal to graduate students as well as researchers looking for an introduction to the subject. While gentle on the beginning student, the book also contains a number of comments for the more advanced reader.
Author: Michel Loeve
Publisher: Courier Dover Publications
ISBN: 0486814882
Category : Mathematics
Languages : en
Pages : 705
Get Book Here
Book Description
Following its 1963 publication, this volume served as the standard advanced text in probability theory. Suitable for undergraduate and graduate students, the treatment includes extensive introductory material.
Author: Marcelo Viana
Publisher: Cambridge University Press
ISBN: 1316445429
Category : Mathematics
Languages : en
Pages : 547
Get Book Here
Book Description
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-semester courses. The authors' clear and fluent exposition helps the reader to grasp quickly the most important ideas of the theory, and their use of concrete examples illustrates these ideas and puts the results into perspective. The book requires few prerequisites, with background material supplied in the appendix. The first four chapters cover elementary material suitable for undergraduate students – invariance, recurrence and ergodicity – as well as some of the main examples. The authors then gradually build up to more sophisticated topics, including correlations, equivalent systems, entropy, the variational principle and thermodynamical formalism. The 400 exercises increase in difficulty through the text and test the reader's understanding of the whole theory. Hints and solutions are provided at the end of the book.
Author: Rick Durrett
Publisher: Cambridge University Press
ISBN: 113949113X
Category : Mathematics
Languages : en
Pages :
Get Book Here
Book Description
This classic introduction to probability theory for beginning graduate students covers laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. It is a comprehensive treatment concentrating on the results that are the most useful for applications. Its philosophy is that the best way to learn probability is to see it in action, so there are 200 examples and 450 problems. The fourth edition begins with a short chapter on measure theory to orient readers new to the subject.
Author: Peter K. Friz
Publisher: Springer Nature
ISBN: 3030415562
Category : Mathematics
Languages : en
Pages : 354
Get Book Here
Book Description
With many updates and additional exercises, the second edition of this book continues to provide readers with a gentle introduction to rough path analysis and regularity structures, theories that have yielded many new insights into the analysis of stochastic differential equations, and, most recently, stochastic partial differential equations. Rough path analysis provides the means for constructing a pathwise solution theory for stochastic differential equations which, in many respects, behaves like the theory of deterministic differential equations and permits a clean break between analytical and probabilistic arguments. Together with the theory of regularity structures, it forms a robust toolbox, allowing the recovery of many classical results without having to rely on specific probabilistic properties such as adaptedness or the martingale property. Essentially self-contained, this textbook puts the emphasis on ideas and short arguments, rather than aiming for the strongest possible statements. A typical reader will have been exposed to upper undergraduate analysis and probability courses, with little more than Itô-integration against Brownian motion required for most of the text. From the reviews of the first edition: "Can easily be used as a support for a graduate course ... Presents in an accessible way the unique point of view of two experts who themselves have largely contributed to the theory" - Fabrice Baudouin in the Mathematical Reviews "It is easy to base a graduate course on rough paths on this ... A researcher who carefully works her way through all of the exercises will have a very good impression of the current state of the art" - Nicolas Perkowski in Zentralblatt MATH
Author: Daniel Revuz
Publisher: Springer Science & Business Media
ISBN: 3662064006
Category : Mathematics
Languages : en
Pages : 608
Get Book Here
Book Description
"This is a magnificent book! Its purpose is to describe in considerable detail a variety of techniques used by probabilists in the investigation of problems concerning Brownian motion....This is THE book for a capable graduate student starting out on research in probability: the effect of working through it is as if the authors are sitting beside one, enthusiastically explaining the theory, presenting further developments as exercises." –BULLETIN OF THE L.M.S.
Author: John Semmlow
Publisher: Academic Press
ISBN: 0128096268
Category : Technology & Engineering
Languages : en
Pages : 784
Get Book Here
Book Description
Circuits, Signals and Systems for Bioengineers: A MATLAB-Based Introduction, Third Edition, guides the reader through the electrical engineering principles that can be applied to biological systems. It details the basic engineering concepts that underlie biomedical systems, medical devices, biocontrol and biomedical signal analysis, providing a solid foundation for students in important bioengineering concepts. Fully revised and updated to better meet the needs of instructors and students, the third edition introduces and develops concepts through computational methods that allow students to explore operations, such as correlations, convolution, the Fourier transform and the transfer function. New chapters have been added on image analysis, noise, stochastic processes and ergodicity, and new medical examples and applications are included throughout the text. - Covers current applications in biocontrol, with examples from physiological systems modeling, such as the respiratory system - Includes revised material throughout, with improved clarity of presentation and more biological, physiological and medical examples and applications - Includes a new chapter on noise, stochastic processes, non-stationary and ergodicity - Includes a separate new chapter featuring expanded coverage of image analysis - Includes support materials, such as solutions, lecture slides, MATLAB data and functions needed to solve the problems
