Cantitate/Preț
Produs

Computability of Julia Sets: Algorithms and Computation in Mathematics, cartea 23

Autor Mark Braverman, Michael Yampolsky
en Limba Engleză Paperback – 22 noi 2010
Among all computer-generated mathematical images, Julia sets of rational maps occupy one of the most prominent positions. Their beauty and complexity can be fascinating. They also hold a deep mathematical content.
Computational hardness of Julia sets is the main subject of this book. By definition, a computable set in the plane can be visualized on a computer screen with an arbitrarily high magnification. There are countless programs to draw Julia sets. Yet, as the authors have discovered, it is possible to constructively produce examples of quadratic polynomials, whose Julia sets are not computable. This result is striking - it says that while a dynamical system can be described numerically with an arbitrary precision, the picture of the dynamics cannot be visualized.
The book summarizes the present knowledge (most of it from the authors' own work) about the computational properties of Julia sets in a self-contained way. It is accessible to experts and students with interest in theoretical computer science or dynamical systems.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 31685 lei  6-8 săpt.
  Springer Berlin, Heidelberg – 22 noi 2010 31685 lei  6-8 săpt.
Hardback (1) 32102 lei  6-8 săpt.
  Springer Berlin, Heidelberg – 26 noi 2008 32102 lei  6-8 săpt.

Din seria Algorithms and Computation in Mathematics

Preț: 31685 lei

Preț vechi: 39606 lei
-20% Nou

Puncte Express: 475

Preț estimativ în valută:
6064 6321$ 5048£

Carte tipărită la comandă

Livrare economică 07-21 ianuarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783642088063
ISBN-10: 3642088066
Pagini: 168
Ilustrații: XIII, 151 p.
Dimensiuni: 155 x 235 x 9 mm
Greutate: 0.25 kg
Ediția:Softcover reprint of hardcover 1st ed. 2009
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Algorithms and Computation in Mathematics

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

to Computability.- Dynamics of Rational Mappings.- First Examples.- Positive Results.- Negative Results.- Computability versus Topological Properties of Julia Sets.

Recenzii

From the reviews:
“The study of dynamical systems has at its core … a very computational feel. … One can feel the book trying to be self-contained … . The subject of the book is timely and important. … The questions posed and answered in the present book are natural and the approach well-suited to produce enlightening results. … The book is also generous … . It has the potential to inspire considerable future work in this intriguing field.” (Wesley Calvert, SIGACT News, Vol. 41 (1), 2010)
“Written in an accessible way with many explications, examples and illustrations. … this book sees the meeting of two worlds: computability theory and iteration of rational maps. It is a fruitful one … and a share of surprises. It is also a compendium of several years of research by the authors … together with a lot of new results. … a nice and quick introduction to both topics, and much of it is pleasant to read … . includes interesting discussions and presents stimulating conjectures.” (Arnaud Chéritat, Foundations of Computational Mathematics, Vol. 12, 2012)

Notă biografică

M. Braverman is an expert in Theoretical Computer Science, particularly in applications of computability to Complex Analysis and Dynamical Systems
M. Yampolsky is an expert in Dynamical Systems, particularly in Holomorphic Dynamics and Renormalization Theory

Textul de pe ultima copertă

Among all computer-generated mathematical images, Julia sets of rational maps occupy one of the most prominent positions. Their beauty and complexity can be fascinating. They also hold a deep mathematical content.
Computational hardness of Julia sets is the main subject of this book. By definition, a computable set in the plane can be visualized on a computer screen with an arbitrarily high magnification. There are countless programs to draw Julia sets. Yet, as the authors have discovered, it is possible to constructively produce examples of quadratic polynomials, whose Julia sets are not computable. This result is striking - it says that while a dynamical system can be described numerically with an arbitrary precision, the picture of the dynamics cannot be visualized.
The book summarizes the present knowledge about the computational properties of Julia sets in a self-contained way. It is accessible to experts and students with interest in theoretical computer science or dynamical systems.

Caracteristici

The first book describing in detail some spectacular results on computation and complex dynamical systems. Includes supplementary material: sn.pub/extras