Geometrical dynamics of complex systems : a unified modelling approach to physics, control, biomechanics, neurodynamics and psycho-socio-economical dynamics

Author(s)

• Ivancevic, Vladimir
• Ivancevic, Tijana T

Bibliographic Information

Geometrical dynamics of complex systems : a unified modelling approach to physics, control, biomechanics, neurodynamics and psycho-socio-economical dynamics

Vladimir G. Ivancevic and Tijana T. Ivancevic

（International series on microprocessor-based and intelligent systems engineering, 31）

Springer, c2006

Description and Table of Contents

Description

Geometrical Dynamics of Complex Systems is a graduate-level monographic textbook. Itrepresentsacomprehensiveintroductionintorigorousgeometrical dynamicsofcomplexsystemsofvariousnatures. By'complexsystems',inthis book are meant high-dimensional nonlinear systems, which can be (but not necessarily are) adaptive. This monograph proposes a uni?ed geometrical - proachtodynamicsofcomplexsystemsofvariouskinds:engineering,physical, biophysical, psychophysical, sociophysical, econophysical, etc. As their names suggest, all these multi-input multi-output (MIMO) systems have something in common: the underlying physics. However, instead of dealing with the pop- 1 ular 'soft complexity philosophy', we rather propose a rigorous geometrical and topological approach. We believe that our rigorous approach has much greater predictive power than the soft one. We argue that science and te- nology is all about prediction and control. Observation, understanding and explanation are important in education at undergraduate level, but after that it should be all prediction and control. The main objective of this book is to show that high-dimensional nonlinear systems and processes of 'real life' can be modelled and analyzed using rigorous mathematics, which enables their complete predictability and controllability, as if they were linear systems. It is well-known that linear systems, which are completely predictable and controllable by de?nition - live only in Euclidean spaces (of various - mensions). They are as simple as possible, mathematically elegant and fully elaborated from either scienti?c or engineering side. However, in nature, no- ing is linear. In reality, everything has a certain degree of nonlinearity, which means: unpredictability, with subsequent uncontrollability.

Table of Contents

• Modern Geometrical Machinery
• 1 .1 Introduction
• 1 .2 Smooth Manifolds
• 1.2.1 Intuition Behind a Smooth Manifold
• 1.2.2 Definition of a Smooth Manifold
• 1.2.3 Smooth Maps Between Manifolds
• 1.2.4 (Co)Tangent Bundles of a Smooth Manifold
• 1.2.5 Tensor Fields and Bundles of a Smooth Manifold
• 1.2.6 Lie Derivative on a Smooth Manifold
• 1.2.7 Lie Groups and Associated Lie Algebras
• 1.2.8 Lie Symmetries and Prolongations on Manifolds
• 1.2.9 Riemannian Manifolds
• 1.2.10 Finsler Manifolds
• 1.2.11 Symplectic Manifolds
• 1.2.12 Complex and Kahler Manifolds
• 1.2.13 Conformal Killing-Riemannian Geometry
• 1.3 Fibre Bundles
• 1.3.1 Intuition Behind a Fibre Bundle
• 1.3.2 Definition of a Fibre Bundle
• 1.3.3 Vector and Affine Bundles
• 1.3.4 Principal Bundles
• 1.3.5 Multivector-Fields and Tangent-Valued Forms
• 1.4 Jet Spaces
• 1.4.1 Intuition Behind a Jet Space
• 1.4.2 Definition of a 1-Jet Space
• 1.4.3 Connections as Jet Fields
• 1.4.4 Definition of a 2-Jet Space
• 1.4.5 Higher-Order Jet Spaces
• 1.4.6 Jets in Mechanics
• 1.4.7 Jets and Action Principle
• 1.5 Path Integrals: Extending Smooth Geometrical Machinery
• 1.5.1 Intuition Behind a Path Integral
• 1.5.2 Path Integral History
• 1.5.3 Standard Path-Integral Quantization
• 1.5.4 Sum over Geometries/Topologies
• 1.5.5 TQFT and Stringy Path Integrals
• 2 Dynamics of High-Dimensional Nonlinear Systems
• 2.1 Mechanical Systems
• 2.1.1 Autonomous Lagrangian/Hamiltonian Mechanics
• 2.1.2 Non-Autonomous Lagrangian/Hamiltonian Mechanics
• 2.1.3 Semi-Riemannian Geometrical Dynamics
• 2.1.4 Relativistic and Multi-Time Rheonomic Dynamics
• 2.1.5 Geometrical Quantization
• 2.2 Physical Field Systems
• 2.2.1 n-Categorical Framework
• 2.2.2 Lagrangian Field Theory on Fibre Bundles
• 2.2.3 Finsler-Lagrangian Field Theory
• 2.2.4 Hamiltonian Field Systems: Path-Integral Quantization
• 2.2.5 Gauge Fields on Principal Connections
• 2.2.6 Modern Geometrodynamics
• 2.2.7 Topological Phase Transitions and Hamiltonian Chaos
• 2.2.8 Topological Superstring Theory
• 2.2.9 Turbulence and Chaos Field Theory
• 2.3 Nonlinear Control Systems
• 2.3.1 The Basis of Modern Geometrical Control
• 2.3.2 Geometrical Control of Mechanical Systems
• 2.3.3 Hamiltonian Optimal Control and Maximum Principle
• 2.3.4 Path-Integral Optimal Control of Stochastic Systems
• 2.4 Human-Like Biomechanics
• 2.4.1 Lie Groups and Symmetries in Biomechanics
• 2.4.2 Muscle-Driven Hamiltonian Biomechanics
• 2.4.3 Biomechanical Functors
• 2.4.4 Biomechanical Topology
• 2.5 Neurodynamics
• 2.5.1 Microscopic Neurodynamics and Quantum Brain
• 2.5.2 Macroscopic Neurodynamics
• 2.5.3 Oscillatory Phase Neurodynamics
• 2.5.4 Neural Path-Integral Model for the Cerebellum
• 2.5.5 Intelligent Robot Control
• 2.5.6 Brain-Like Control Functor in Biomechanics
• 2.5.7 Concurrent and Weak Functorial Machines
• 2.5.8 Brain-Mind Functorial Machines
• 26 Psycho-Socio-Economic Dynamics
• 2.6.1 Force-Field Psychodynamics
• 2.6.2 Geometrical Dynamics of Human Crowd
• 2.6.3 Dynamical Games on Lie Groups
• 2.6.4 Nonlinear Dynamics of Option Pricing
• 2.6.5 Command/Control in Human-Robot Interactions
• 2.6.6 Nonlinear Dynamics of Complex Nets
• 2.6.7 Complex Adaptive Systems: Common Characteristics
• 2.6.8 FAM Functors and Real-Life Games
• 2.6.9 Riemann-Finsler Approach to Information Geometry
• 3 Appendix: Tensors and Functors
• 3.1 Elements of Classical Tensor Analysis
• 3.1.1 Transformation of Coordinates and Elementary Tensors
• 3.1.2 Euclidean Tensors
• 3. 1 .3 Tensor Derivatives on Riemannian Manifolds
• 3.1.4 Tensor Mechanics in Brief
• 3.1.5 The Covariant Force Law in Robotics and Biomechanics
• 3.2 Categories and Functors
• 3.2.1 Maps
• 3.2.2 Categories
• 3.2.3 Functors
• 3.2.4 Natural Transformations
• 3.2.5 Limits and Colimits
• 3.2.6 The Adjunction
• 3.2.7 ri-Categories
• 3.2.8 Abelian Functorial Algebra
• References
• Index.

by "Nielsen BookData"

Details

• NCID: BA77888900
• ISBN:
  • 1402045441
• Country Code: gw
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: Berlin
• Pages/Volumes: xxiii, 822 p.
• Size: 25 cm
• Classification:
  • SG : 500
• Parent Bibliography ID:
  • BA18178902