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Stochastic partial differential equations with Lévy noise : an evolution equation approach / S. Peszat and J. Zabczyk.

EBSCOhost Academic eBook Collection (North America) Available online

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Format:
Book
Author/Creator:
Peszat, S., author.
Zabczyk, Jerzy, author.
Series:
Encyclopedia of mathematics and its applications ; v. 113.
Encyclopedia of mathematics and its applications ; volume 113
Language:
English
Subjects (All):
Stochastic partial differential equations.
Lévy processes.
Physical Description:
1 online resource (xii, 419 pages) : digital, PDF file(s).
Place of Publication:
Cambridge : Cambridge University Press, 2007.
Language Note:
English
Summary:
Recent years have seen an explosion of interest in stochastic partial differential equations where the driving noise is discontinuous. In this comprehensive monograph, two leading experts detail the evolution equation approach to their solution. Most of the results appeared here for the first time in book form. The authors start with a detailed analysis of Lévy processes in infinite dimensions and their reproducing kernel Hilbert spaces; cylindrical Lévy processes are constructed in terms of Poisson random measures; stochastic integrals are introduced. Stochastic parabolic and hyperbolic equations on domains of arbitrary dimensions are studied, and applications to statistical and fluid mechanics and to finance are also investigated. Ideal for researchers and graduate students in stochastic processes and partial differential equations, this self-contained text will also interest those working on stochastic modeling in finance, statistical physics and environmental science.
Contents:
1. Why equations with Levy noise?
2. Analytic preliminaries
3. Probabilistic preliminaries
4. Levy processes
5. Levy semigroups
6. Poisson random measures
7. Cylindrical processes and reproducing kernels
8. Stochastic integration
9. General existence and uniqueness results
10. Equations with non-Lipschitz coefficients
11. Factorization and regularity
12. Stochastic parabolic problems
13. Wave and delay equations
14. Equations driven by a spatially homogeneous noise
15. Equations with noise on the boundary
16. Invariant measures
17. Lattice systems
18. Stochastic Burgers equation
19. Environmental pollution model
20. Bond market models
App. A. Operators on Hilbert spaces
App. B. Co-semigroups
App. C. Regularization of Markov processes
App. D. Ito formulae
App. E. Levy-Khinchin formula on [0, + [infinity])
App. F. Proof of Lemma 4.24.
Notes:
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Includes bibliographical references and index.
ISBN:
1-139-88343-7
1-107-10165-4
1-107-10408-4
1-107-09605-7
1-107-08975-1
0-511-72137-4

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