Limit Theorems for Markov Chains and Stochastic Properties of Dynamical Systems by QuasiCompactness
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The work Limit Theorems for Markov Chains and Stochastic Properties of Dynamical Systems by QuasiCompactness represents a distinct intellectual or artistic creation found in Boston University Libraries. This resource is a combination of several types including: Work, Language Material, Books.
The Resource
Limit Theorems for Markov Chains and Stochastic Properties of Dynamical Systems by QuasiCompactness
Resource Information
The work Limit Theorems for Markov Chains and Stochastic Properties of Dynamical Systems by QuasiCompactness represents a distinct intellectual or artistic creation found in Boston University Libraries. This resource is a combination of several types including: Work, Language Material, Books.
 Label
 Limit Theorems for Markov Chains and Stochastic Properties of Dynamical Systems by QuasiCompactness
 Statement of responsibility
 edited by Hubert Hennion, Loïc Hervé
 Subject

 Probability Theory and Stochastic Processes
 Differential Equations
 Ordinary Differential Equations
 Mathematics
 Mathematics
 Distribution (Probability theory)
 Distribution (Probability theory)
 Differential Equations
 Differential Equations
 Electronic resources
 Mathematics
 Distribution (Probability theory)
 Language
 eng
 Summary
 The usefulness of from the of techniques perturbation theory operators, to kernel for limit theorems for a applied quasicompact 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 operator, papers. these works share the features the features that must be same specific general ; used in each stem from the nature of the functional particular case precise space where the of is and from the number of quasicompactness Q proved eigenvalues of of modulus 1. We here a functional framework for Q give general analytical this method and we the aforementioned behaviour within it. It asymptotic prove is worth that this framework is to allow the unified noticing sufficiently general treatment of all the cases considered in the literature the previously specific ; characters of model translate into the verification of of simple hypotheses every a functional nature. When to Markov kernels or to Perr applied Lipschitz Frobenius associated with these statements rise operators expanding give maps, to new results and the of known The main clarify proofs already properties. of the deals with a Markov kernel for which 1 is a part quasicompact Q paper of modulus 1. An essential but is not the simple eigenvalue unique eigenvalue element of the work is the of the of peripheral Q precise description spectrums and of its To conclude the the results obtained perturbations
 Image bit depth
 0
 LC call number

 QA273.A1274.9
 QA274274.9
 Literary form
 non fiction
 Series statement
 Lecture Notes in Mathematics,
 Series volume
 1766
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