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《数学物理中的全局分析——几何及随机方法》
数学物理中的全局分析——几何及随机方法
编号: PT496624
作者:Yuri Gliklikh
译者:
开本:
ISBN:730210201
出版社:清华大学出版社
出版日期:2005-01-01
装帧:
书夫曼编号:1001142
原价: 29
普通会员:27.12  一星会员:26.31
二星会员:25.76  三星会员:25.22

内容简介

This  book  is  the  first  in  monographic  literature  giving  a  common  treatment  to  three  areas  of  applications  of  Global  Analysis  in  Mathematical  Physics  previously  considered  quite  distant  from  each  other,  namely,  differential  geometry  applied  to  classical  mechanics,  stochastic  differential  geometry  used  in  quantum  and  statistical  mechanics,  and  infinite-dimensional  differential  geometry  fundamental  for  hydrodynamics.  The  unification  of  these  topics  is  made  possible  by  considering  the  Newton  equation  or  its  natural  generalizations  and  analogues  as  a  fundamental  equation  of  motion.  New  general  geometric  and  stochastic  methods  of  investigation  are  developed,  and  new  results  on  existence,  uniqueness,  and  qualitative  behavior  of  solutions  are  obtained.
The  first  edition  of  this  book,  entitled  Analysis  on  Riemannian  Manifolds  and  Some  Problems  of  mathematical  Physics,  was  published  in  Russian  by  Voronezh  University  Press  in  1989.  For  its  English  edition,  the  book  has  been  substantially  revised  and  expanded.



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目录
Part I. Finite-Dimensional Differential Geometry and Mechanics
Chapter 1
Some Geometric Constructions in Calculus on Manifolds
1. Complete Riemannian Metrics and the Completeness of Vector Fields
1 .A A Necessary and Sufficient Condition for the Completeness of a Vector Field
1.B A Way to Construct Complete Riemannian Metrics
2. Riemannian Manifolds Possessing a Uniform Riemannian Atlas
3. Integral Operators with Parallel Translation
3.A The Operator s
3.B The Operator r
3.C Integral Operators
Chapter 2
Geometric Formalism of Newtonian Mechanics
4. Geometric Mechanics: Introduction and Review of Standard
Examples
4.A Basic Notions
4.B Some Special Classes of Force Fields
4.C Mechanical Systems on Groups
5. Geometric Mechanics with Linear Constraints
5.A Linear Mechanical Constraints
5.B Reduced Connections
5.C Length Minimizing and Least-Constrained Nonholonomic Geodesics
6. Mechanical Systems with Discontinuous Forces and Systems with Control: Differential Inclusions
7. Integral Equations of Geometric Mechanics The Velocity Hodograph
7.A General Constructions
7.B Integral Formalism of Geometric Mechanics with Constraints
8. Mechanical Interpretation of Parallel Translation and
Systems with Delayed Control Force
Chapter 3Accessible Points of Mechanical Systems
9. Examples of Points that Cannot Be Connected by a Trajectory
10. The Main Result on Accessible Points
11. Generalizations to Systems with Constraints
Part II. Stochastic Differential Geometry and its Applications to Physics
Chapter 4Stochastic Differential Equationson Riemannian Manifolds
12. Review of the Theory of Stochastic Equations and Integrals on Finite-Dimensional Linear Spaces
12.A Wiener Processes
12.B The It8 Integral
12.C The Backward Integral and the Stratonovich Integral
12.D The It8 and Stratonovich Stochastic Differential Equations
12.E Solutions of SDEs
12.F Approximation by Solutions of Ordinary Differential Equations
12.G A Relationship Between SDEs and PDEs
13. Stochastic Differential Equations on Manifolds
14. Stochastic Parallel Translation and the Integral Formalism for the It8 Equations
15. Wiener Processes on Riemannian Manifolds and Related Stochastic Differential Equations
15.A Wiener Processes on Riemannian Manifolds
15.B Stochastic Equations
15.C Equations with Identity as the Diffusion Coefficient
16. Stochastic Differential Equations with Constraints
Chapter 5
The Langevin Equation
17. The Langevin Equation of Geometric Mechanics
18, Strong Solutions of the Langevin Equation,Ornstein-Uhlenbeck Processes
Chapter 6
Mean Derivatives, Nelson''''''''s Stochastic Mechanics,andQuantization
19. More on Stochastic Equations and Stochastic Mechanics in 1Rn
19.A Preliminaries
19.B Forward Mean Derivatives
19.C Backward Mean Derivatives and Backward Equations
19.D Symmetric and Antisymmetric Derivatives
19.E The Derivatives of a Vector Field Along t and the Acceleration of t
19.F Stochastic Mechanics
20. Mean Derivatives and Stochastic Mechanics on Riemannian Manifolds
20.A Mean Derivatives on Manifolds and Related Equations
20.B Geometric Stochastic Mechanics
20.C The Existence of Solutions in Stochastic Mechanics
21. Relativistic Stochastic Mechanics
Part III. Infinite-Dimensional Differential Geometry and Hydrodynamics
Chapter 7
Geometry of Manifolds of Diffeomorphisms
22. Manifolds of Mappings and Groups of Diffeomorphisms
22.A Manifolds of Mappings
22.B The Group of HS-Diffeomorphisms
22.C Diffeomorphisms of a Manifold with Boundary
22.D Some Smooth Operators and Vector Bundles over D* M
23. Weak Riemannian Metrics and Connections on Manifolds of Diffeomorphisms
23.A The Case of a Closed Manifold
23.B The Case of a Manifold with Boundary
23.C The Strong Riemannian Metric
24. Lagrangian Formalism of Hydrodynamics of an Ideal Barotropic Fluid
24.A Diffuse Matter
24.B A Barotropic Fluid
Chapter 8
Lagrangian Formalism of Hydrodynamics of an Ideal Incompressible Fluid
25. Geometry of the Manifold of Volume-Preserving
Diffeomorphisms and LHSs of an Ideal Incompressible Fluid 25A Volume-Preserving Diffeomorphisms of a Closed Manifold
25.B Volume-Preserving Diffeomorphisms of a Manifold with Boundary
25C LHS''''''''s of an Ideal Incompressible Fluid
26. The Flow of an Ideal Incompressible Fluid on a Manifold with Boundary as an LHS with an Infinite-Dimensional Constraint on the Group of Diffeomorphisms of a Closed Manifold
27. The Regularity Theorem and a Review of Results on the Existence of Solutions
Chapter 9
Hydrodynamics of a Viscous Incompressible Fluid and Stochastic Differential Geometry
of Groups of Diffeomorphisms
28. Stochastic Differential Geometry on the Groups of Diffeomorphisms of the n-Dimensional Torus
29 A Viscous Incompressible Fluid .Appendices
A Introduction to the Theory of Connections
Connections on Principal Bundles
Connections on the Tangent Bundle
Covariant DerivativesConnection Coefficients and Christoffel Symbols
Second-Order Differential Equations and the Spray
The Exponential Map and Normal Charts
B. Introduction to the Theory of Set-Valued Maps
C. Basic Definitions of Probability Theory and the Theory of Stochastic Processes
Stochastic Processes and Cylinder Sets
The Conditional Expectation
Markovian Processes
Martingales and Semimartingales
D. The It8 Group and the Principal It8 Bundle
E. Sobolev Spaces
F. Accessible Points and Closed Trajectories of Mechanical Systems by Viktor L. Ginzburg
Growth of the Force Field and Accessible Points
Accessible Points in Systems with Constraints
Closed Trajectories of Mechanical Systems
References
Index


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