Markov Processes: Volume I: Grundlehren der mathematischen Wissenschaften, cartea 121/122
Autor E. B. Dynkin Traducere de V. Greenberg, J. Fabius, A. Maitra, G. Majoneen Limba Engleză Paperback – aug 2012
Din seria Grundlehren der mathematischen Wissenschaften
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Specificații
ISBN-13: 9783662000335
ISBN-10: 3662000334
Pagini: 380
Ilustrații: XII, 366 p. 1 illus.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.54 kg
Ediția:Softcover reprint of the original 1st ed. 1965
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Grundlehren der mathematischen Wissenschaften
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3662000334
Pagini: 380
Ilustrații: XII, 366 p. 1 illus.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.54 kg
Ediția:Softcover reprint of the original 1st ed. 1965
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Grundlehren der mathematischen Wissenschaften
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
One Contraction semigroups of linear operators on Banach spaces.- Two Infinitesimal operators of transition functions.- Three Markov processes.- Four First entrance and exit times and the intrinsic topology in the state space.- Five Characteristic operators of Markov processes. Differential generators of diffusion processes.- Six Functionals of Markov processes.- Seven Stochastic integrals.- Eight Nonnegative additive functionals of a Wiener process.- Nine Transition functions, corresponding to almost multiplicative functionals.- Ten Transformations of Markov processes.- Eleven Stochastic integral equations and diffusion processes.- Twelve Excessive, superharmonic and harmonic functions.- Thirteen Harmonic and superharmonic functions associated with strong Feller processes. Probabilistic solution of certain equations.- Fourteen The multi-dimensional Wiener process and its transformations.- Fifteen Continuous strong Markov processes on a closed interval.- Sixteen Continuous strong Markov processes on an open interval.- Seventeen Construction of one-dimensional continuous strong Markov processes.- § 1. Measurable spaces and measurable transformations.- § 2. Measures and integrals.- § 3. Probability spaces.- § 4. Martingales.- § 5. Topological measurable spaces.- § 6. Some theorems on partial differential equations.- § 7. Measures and countably additive set functions on the line and corresponding point functions.- § 8. Convex functions.- Historical-bibliographical note.- List of symbols.- List of symbols.