Limit Theorems for Markov Chains and Stochastic Properties of Dynamical Systems by Quasi-Compactness
The usefulness of from the of techniques perturbation theory operators, to kernel for limit theorems for a applied quasi-compact positive Q, obtaining Markov chains for stochastic of or dynamical by describing properties systems, of Perron- Frobenius has been demonstrated in several All use a operat...
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| Hauptverfasser: | , |
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| Format: | Livre numérique |
| Sprache: | Anglais |
| Veröffentlicht: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Schriftenreihe: | Lecture notes in mathematics
1766 |
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| Online Zugang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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| Edition sous un autre format: | • Limit theorems for Markov chains and stochastic properties of dynamical systems by quasi-compactness, Hubert Hennion, Loïc Hervé, 2001, Berlin, Springer, 1 vol. (144 p.), Lecture notes in mathematics, 3-540-42415-6 • Limit Theorems for Markov Chains and Stochastic Properties of Dynamical Systems by Quasi-Compactness, Texte imprimé, 9783662205389 |
Inhaltsangabe:
- General Facts About The Method Purpose Of The Paper
- The Central Limit Theorems For Markov Chains Theorems A, B, C
- Quasi-Compact Operators of Diagonal Type And Their Perturbations
- First Properties of Fourier Kernels Application
- Peripheral Eigenvalues of Fourier Kernels
- Proofs Of Theorems A, B, C
- Renewal Theorem For Markov Chains Theorem D
- Large Deviations For Markov Chains Theorem E
- Ergodic Properties For Markov Chains
- Markov Chains Associated With Lipschitz Kernels Examples
- Stochastic Properties Of Dynamical Systems Theorems A*, B*, C*, D*, E*
- Expanding Maps
- Proofs Of Some Statements In Probability Theory
- Functional Analysis Results On Quasi-Compactness
- Generalization To The Non-Ergodic Case.