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E-raamat: Hyperbolic Dynamics and Brownian Motion: An Introduction [Oxford Scholarship Online e-raamatud]

(, Professor of Mathematics, Université Paris Sud (Orsay) and Institut Universitaire de France), (, Professor of Mathematics, Université de Strasbourg)
  • Formaat: 284 pages, 23 b/w illustrations
  • Sari: Oxford Mathematical Monographs
  • Ilmumisaeg: 16-Aug-2012
  • Kirjastus: Oxford University Press
  • ISBN-13: 9780199654109
  • Oxford Scholarship Online e-raamatud
  • Raamatu hind pole hetkel teada
  • Formaat: 284 pages, 23 b/w illustrations
  • Sari: Oxford Mathematical Monographs
  • Ilmumisaeg: 16-Aug-2012
  • Kirjastus: Oxford University Press
  • ISBN-13: 9780199654109
Hyperbolic Dynamics and Brownian Motion illustrates the interplay between distinct domains of mathematics. There is no assumption that the reader is a specialist in any of these domains: only basic knowledge of linear algebra, calculus and probability theory is required.

The content can be summarized in three ways:

Firstly, this book provides an introduction to hyperbolic geometry, based on the Lorentz group. The Lorentz group plays, in relativistic space-time, a role analogue to the rotations in Euclidean space. The hyperbolic geometry is the geometry of the unit pseudo-sphere. The boundary of the hyperbolic space is defined as the set of light rays. Special attention is given to the geodesic and horocyclic flows. Hyperbolic geometry is presented via special relativity to benefit from the physical intuition.

Secondly, this book introduces basic notions of stochastic analysis: the Wiener process, Itō's stochastic integral, and calculus. This introduction allows study in linear stochastic differential equations on groups of matrices. In this way the spherical and hyperbolic Brownian motions, diffusions on the stable leaves, and the relativistic diffusion are constructed.

Thirdly, quotients of the hyperbolic space under a discrete group of isometries are introduced. In this framework some elements of hyperbolic dynamics are presented, as the ergodicity of the geodesic and horocyclic flows. This book culminates with an analysis of the chaotic behaviour of the geodesic flow, performed using stochastic analysis methods. This main result is known as Sinai's central limit theorem.
Introduction xi
Summary xiii
List of figures
xv
1 The Lorentz-Mobius group PSO(1,d)
1(22)
1.1 Lie algebras and groups: introduction
1(9)
1.1.1 (d) and Lie subalgebras of (d)
1(2)
1.1.2 Basic examples of Lie algebras
3(1)
1.1.3 The exponential map
3(2)
1.1.4 The group associated with a Lie subalgebra
5(3)
1.1.5 Basic examples of Lie groups
8(2)
1.2 Minkowski space and its pseudo-metric
10(2)
1.3 The Lorentz-Mobius group and its Lie algebra
12(2)
1.4 Two remarkable subgroups of PSO(1,d)
14(2)
1.5 Structure of the elements of PSO(1,d)
16(4)
1.6 The hyperbolic space d and its boundary ∂d
20(1)
1.7 The Cartan and Iwasawa decompositions of PSO(1,d)
21(1)
1.8 Notes and comments
22(1)
2 Hyperbolic geometry
23(28)
2.1 The hyperbolic metric
23(2)
2.2 Geodesics and light rays
25(8)
2.2.1 Hyperbolic geodesics
25(1)
2.2.2 Projection onto a light ray, and tangent bundle
26(3)
2.2.3 Harmonic conjugation
29(4)
2.3 Flows and leaves
33(4)
2.4 Physical interpretations
37(4)
2.4.1 Change of frame and relative velocities
37(2)
2.4.2 Motion of particles
39(1)
2.4.3 Geodesics
39(1)
2.4.4 Horospheres
40(1)
2.5 Poincare ball and half-space models
41(3)
2.5.1 Stereographic projection and the ball model
41(2)
2.5.2 Upper-half-space model and the Poincare coordinates
43(1)
2.6 A commutation relation
44(4)
2.7 The Busemann function
48(2)
2.8 Notes and comments
50(1)
3 Operators and measures
51(29)
3.1 The Casimir operator on PSO(1,d)
51(2)
3.2 The Laplace operator
53(2)
3.3 Haar measure of PSO(1,d)
55(8)
3.4 The spherical Laplacian Δd-1
63(3)
3.5 The hyperbolic Laplacian Δ
66(3)
3.6 Harmonic, Liouville and volume measures
69(9)
3.6.1 Harmonic measures and the Poisson kernel
69(3)
3.6.2 Liouville and volume measures
72(6)
3.7 Notes and comments
78(2)
4 Kleinian groups
80(25)
4.1 Terminology
80(1)
4.2 Dirichlet polyhedra
81(1)
4.3 Parabolic tessellation by an ideal 2-gon
82(5)
4.4 Examples of modular groups
87(16)
4.4.1 Plane tessellation by means of two parabolic isometries
87(7)
4.4.2 From Γ(2) to Γ(1)
94(3)
4.4.3 Plane tessellation by means of two boosts, and DΓ(1)
97(4)
4.4.4 Plane tessellation yielding Γ(3)
101(2)
4.5 Notes and comments
103(2)
5 Measures and flows on Γ\d
105(19)
5.1 Measures of Γ-invariant sets
105(2)
5.2 Ergodicity
107(2)
5.3 A mixing theorem
109(3)
5.4 Poincare inequalities
112(11)
5.4.1 The Euclidean case
113(5)
5.4.2 The case of a fundamental domain in d
118(5)
5.5 Notes and comments
123(1)
6 Basic lto calculus
124(22)
6.1 Discrete martingales and stochastic integrals
124(3)
6.2 Brownian motion
127(1)
6.3 Martingales in continuous time
128(4)
6.4 The Ito integral
132(3)
6.5 Ito's formula
135(9)
6.6 The Stratonovich integral
144(1)
6.7 Notes and comments
145(1)
7 Brownian motions on groups of matrices
146(48)
7.1 Stochastic differential equations
146(4)
7.2 Linear stochastic differential equations
150(11)
7.3 Approximation of a left Brownian motion by exponentials
161(7)
7.4 Lyapunov exponents
168(2)
7.5 Diffusion processes
170(2)
7.6 Examples of group-valued Brownian motions
172(15)
7.6.1 Exponential semimartingale
172(1)
7.6.2 Left Brownian motion on the Heisenberg group 3
172(3)
7.6.3 Brownian motions in SL(2)
175(1)
7.6.4 Left Brownian motion on SO(d)
176(2)
7.6.5 Left Brownian motions on PSO(1,d) and d
178(4)
7.6.6 Spherical Brownian motion
182(2)
7.6.7 Hyperbolic Brownian motion
184(3)
7.7 Relativistic diffusion
187(5)
7.7.1 Left Brownian motion on the Poincare group d+1
187(1)
7.7.2 Asymptotic behaviour of the relativistic diffusion
188(4)
7.8 Notes and comments
192(2)
8 The central limit theorem for geodesics
194(30)
8.1 Dual d-valued left Brownian motions
195(4)
8.2 Two dual diffusions
199(2)
8.3 Spectral gap along the foliation
201(5)
8.4 The resolvent kernel and conjugate functions
206(2)
8.4.1 Differential 1-forms on d
206(1)
8.4.2 Lift of ƒ to the 1-form ƒ
207(1)
8.5 Contour deformation
208(3)
8.6 The divergence of ƒ
211(4)
8.7 Sinai's central limit theorem
215(8)
8.8 Notes and comments
223(1)
Appendix A Geometry
224(15)
A.1 Structure of pseudo-symmetric matrices
224(4)
A.2 The full commutation relation in PSO(1, d)
228(5)
A.3 The d'Alembertian on 1,d
233(3)
A.4 Core-cusp decomposition
236(3)
Appendix B Stochastic calculus
239(10)
B.1 A simple construction of a real Brownian motion
239(3)
B.2 Chaos expansion
242(3)
B.3 Brownian path and limiting geodesic
245(4)
References 249(6)
General notation 255(1)
Other notation 256(5)
Index of terms 261
Jacques Franchi has been Professor of Mathematics at the University of Strasbourg (France) since 2000. He completed his PhD thesis in 1987, and the "Habilitation a` diriger des recherches " in 1996, both at the University Paris 6. He has written a series of articles, in probability theory and related areas, including general relativity.

Yves Le Jan is a professor at the University Paris-Sud of Orsay (France) and a senior member of the Institut Universitaire de France. He gave an invited talk on Probability at the ICM held in 1996 in Madrid and the Doob lecture in the 8th World Congress in Probability and Statistics held in 2012 in Istanbul.