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E-grāmata: Physics of Self-Organization and Evolution

3.50/5 (3 ratings by Goodreads)
(Humboldt-Universitat Berlin, Germany), (Leibniz-Institut for Baltic Sea Research, Germany)
  • Formāts: PDF+DRM
  • Izdošanas datums: 19-Sep-2011
  • Izdevniecība: Blackwell Verlag GmbH
  • Valoda: eng
  • ISBN-13: 9783527636815
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Physics of Self-Organization and EvolutionPalielināt
  • Formāts: PDF+DRM
  • Izdošanas datums: 19-Sep-2011
  • Izdevniecība: Blackwell Verlag GmbH
  • Valoda: eng
  • ISBN-13: 9783527636815
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This thoroughly updated version of the German authoritative work on self-organization has been completely rewritten by internationally renowned experts and experienced book authors to also include a review of more recent literature. It retains the original enthusiasm and fascination surrounding thermodynamic systems far from equilibrium, synergetics, and the origin of life, representing an easily readable book and tutorial on this exciting field.
The book is unique in covering in details the experimental and theoretical fundamentals of self-organizing systems as well as such selected features as random processes, structural networks and multistable systems, while focusing on the physical and theoretical modeling of natural selection and evolution processes. The authors take examples from physics, chemistry, biology and social systems, and include results hitherto unpublished in English.
The result is a one-stop resource relevant for students and scientists in physics or related interdisciplinary fields, including mathematical physics, biophysics, information science and nanotechnology.

Recenzijas

"The book is not only valuable for 'former friends', but can be warmly recommended for all who are interested in self-organization and evolution. Although the book is not written as a textbook, the chapters 4 to 7 in connection with the huge number of references render possible to study this field also for beginners. Also seniors in this field can find new aspects in this extensive, detailled and clearly written survey of a large variety of evolution processes. ..." W. Muschik, J. Nonequilibrium Thermodynamics.

"The result is a one-stop resource relevant for students and scientists in physics or related interdisciplinary fields, including mathematical physics, biophysics, information science and nanotechnology." (Zentralblatt MATH 2016)

Preface ix
1 Introduction to the Field of Self-Organization
1(34)
1.1 Basic Concepts
1(5)
1.2 History of Evolution as a Short Story
6(8)
1.3 Structure, Self-organization, and Complexity
14(3)
1.4 Entropy, Equilibrium, and Nonequilibrium
17(8)
1.5 Dynamics, Stability, and Instability
25(3)
1.6 Self-Organization of Information and Values
28(7)
2 Fundamental Laws of Equilibrium and Nonequilibrium Thermodynamics
35(50)
2.1 The Thermodynamic Way of Describing Nature - Basic Variables
35(10)
2.2 Three Fundamental Laws and the Gibbs Relation of Thermodynamics
45(10)
2.3 Thermodynamic Potentials, Inequalities, and Variational Principles
55(8)
2.4 Irreversible Processes and Self-Organization
63(7)
2.5 Irreversible Radiation Transport
70(6)
2.6 Irreversible Processes and Fluctuations
76(4)
2.7 Toward a Thermodynamics of Small Systems Far from Equilibrium
80(5)
3 Evolution of Earth and the Terrestrial Climate
85(78)
3.1 The Photon Mill
88(3)
3.2 Black-Body Radiation Model of Earth
91(8)
3.3 Local Seasonal Response
99(5)
3.4 Atmospheric Cooling Rate
104(2)
3.5 Black-Body Model with Atmosphere
106(4)
3.6 Humidity and Latent Heat
110(9)
3.7 Greenhouse Effect
119(5)
3.8 Spatial Structure of the Planet
124(25)
3.9 Early Evolution of Earth
149(14)
4 Nonlinear Dynamics, Instabilities, and Fluctuations
163(48)
4.1 State Space, Dynamic Systems, and Graphs
163(5)
4.2 Deterministic Dynamic Systems
168(9)
4.3 Stochastic Models for Continuous Variables and Predictability
177(10)
4.4 Graphs - Mathematical Models of Structures and Networks
187(7)
4.5 Stochastic Models for Discrete Variables
194(6)
4.6 Stochastic Processes on Networks
200(11)
5 Self-Reproduction, Multistability, and Information Transfer as Basic Mechanisms of Evolution
211(26)
5.1 The Role of Self-Reproduction and Multistability
211(2)
5.2 Deterministic Models of Self-Reproduction and Bistability
213(5)
5.3 Stochastic Theory of Birth-and-Death Processes
218(4)
5.4 Stochastic Analysis of the Survival of the New
222(4)
5.5 Survival of the New in Bistable Systems
226(4)
5.6 Multistability, Information Storage, and Information Transfer
230(7)
6 Competition and Selection Processes
237(74)
6.1 Discussion of Basic Terms
237(4)
6.2 Extremum Principles
241(3)
6.3 Dynamical Models with Simple Competition
244(9)
6.4 Stochastic of Simple Competition Processes
253(11)
6.5 Competition in Species Networks
264(14)
6.6 Selection and Coexistence
278(6)
6.7 Hyperselection
284(4)
6.8 Selection in Ecological Systems
288(9)
6.9 Selection with Sexual Replication
297(4)
6.10 Selection between Microreactors
301(5)
6.11 Selection in Social Systems
306(5)
7 Models of Evolution Processes
311(52)
7.1 Sequence-Evolution Models
314(5)
7.2 Evolution on Fitness Landscapes
319(2)
7.3 Evolution on Smooth Fisher-Eigen Landscapes
321(7)
7.4 Evolution on Random Fisher-Eigen Landscapes
328(5)
7.5 Evolution on Lotka-Volterra Landscapes
333(7)
7.6 Axiomatic Evolution Models
340(2)
7.7 Boolean Behavior in the Positive Cone
342(7)
7.8 Axiomatic Description of a Boolean Reaction System
349(3)
7.9 Reducible, Linear, and Ideal Boolean Reaction Systems
352(3)
7.10 Minor and Major of a Boolean Reaction System
355(1)
7.11 Selection and Evolution in Boolean Reaction Systems
356(7)
8 Self-Organization of Information and Symbols
363(50)
8.1 Symbolic Information
364(4)
8.2 Structural Information
368(3)
8.3 Extracting Structural Information
371(4)
8.4 Physical Properties of Symbols
375(6)
8.5 Properties of the Ritualization Transition
381(3)
8.6 Genetic Code
384(6)
8.7 Sexual Recombination
390(2)
8.8 Morphogenesis
392(4)
8.9 Neuronal Networks
396(6)
8.10 Spoken Language
402(3)
8.11 Possession
405(1)
8.12 Written Language
406(3)
8.13 Money
409(4)
9 On the Origin of Life
413(28)
9.1 Catalytic Cascades in Underoccupied Networks
415(3)
9.2 Formation of Spatial Compartments
418(3)
9.3 Replicating Chain Molecules
421(7)
9.4 Molecular Information Processing
428(5)
9.5 Darwinian Evolution
433(8)
10 Conclusion and Outlook
441(12)
10.1 Basic Physical Concepts and Results
441(6)
10.2 Quo Vadis Evolutio?
447(6)
References 453(48)
Index 501
Werner Ebeling is Professor em. at the prestigious Humboldt University in Berlin. His research interests focus on self organization, non-linear systems and dynamics and quantum statistics. He has authored a large number of books in three languages, some of them published with Akademie-Verlag (now part of Wiley) as well as an impressive array of research papers. He has been closely working with Rainer Feistel, who also is already author for Wiley. His research is on thermodynamics of seawater and theory of complex systems. He also has authored many papers and books, partly together with Prof. Ebeling.
Biežāk uzdotie jautājumi par e-grāmatām Biežāk uzdotie jautājumi par e-grāmatām
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