On the geometry of diffusion operators and stochastic flows / K.D. Elworthy, Y. Le Jan, Xue-Mei Li.
Material type:
TextSeries: Lecture notes in mathematics (Springer-Verlag) ; 1720.Publication details: Berlin ; New York : Springer, ©1999.Description: 1 online resource (118 pages)Content type: - text
- computer
- online resource
- 9783540470229
- 3540470220
- Diffusion processes
- Linear operators
- Flows (Differentiable dynamical systems)
- Processus de diffusion
- Opérateurs linéaires
- Flots (Dynamique différentiable)
- Diffusion processes
- Flows (Differentiable dynamical systems)
- Linear operators
- Operatoren
- Stochastische systemen
- Algebraïsche meetkunde
- Equacoes diferenciais parciais
- Diffusion processes
- Linear operators
- Flows (Differentiable dynamical systems)
- Diffusjonsprosesser
- Lineære operatorer
- 510 s 519.2/33 21
- QA3.L28 no. 1720
- 31.51
- 53B05
- 58
- 58G32
- 58J65
- 60.75
- 60.02
- 60H
- digitized 2010 HathiTrust Digital Library committed to preserve
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eBook
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e-Library | eBook LN Mathematic | Available |
Includes bibliographical references (pages 111-116) and index.
Construction of connections -- The infinitesimal generators and associated operators -- Decomposition of noise and Itering -- Application: Analysis on spaces of paths -- Stability of stochastic dynamical systems -- Appendices.
Stochastic differential equations, and Hoermander form representations of diffusion operators, can determine a linear connection associated to the underlying (sub)-Riemannian structure. This is systematically described, together with its invariants, and then exploited to discuss qualitative properties of stochastic flows, and analysis on path spaces of compact manifolds with diffusion measures. This should be useful to stochastic analysts, especially those with interests in stochastic flows, infinite dimensional analysis, or geometric analysis, and also to researchers in sub-Riemannian geometry. A basic background in differential geometry is assumed, but the construction of the connections is very direct and itself gives an intuitive and concrete introduction. Knowledge of stochastic analysis is also assumed for later chapters.
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Print version record.
English.