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A simple introduction to several important fields of modern mathematics. The exposition is based on an interplay between hyperbolic geometry, stochastic calculus, special relativity and chaotic dynamics. It is suitable for anyone with some solid background in linear algebra, calculus, and probability theory.
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 Lorentzgroup 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 isdefined 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, Itô's stochastic integral, and calculus. This introduction allows study in linear stochastic differential equations on groups of matrices. In this way the spherical and hyperbolicBrownian motions, diffusions on the stable leaves, and the relativistic diffusion are constructed. Thirdly, quotients of the hyperbolic space under a discrete group of isometries areintroduced. 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.
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 deFrance. 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.
IntroductionSummary1: The Lorentz-Möbius group PSO(1; d)2: Hyperbolic Geometry3: Operators and Measures4: Kleinian groups5: Measures and flows on *G/F26: Basic Itô Calculus7: Brownian motions on groups of matrices8: Central Limit Theorem for geodesics9: Appendix relating to geometry10: Appendix relating to stochastic calculus11: Index of notation, terms, and figuresReferences
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, Itô'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.
Presents original content in the use of stochastic calculus in chaos theory and the introduction to relativistic diffusion
Elementary and self-contained access to to hyperbolic geometry (using special relativity), stochastic calculus, and chaotic dynamics
Interplay between several fields of mathematics
Clearly displayed key results and proofs