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Stochastic Integration in Banach Spaces

Theory and Applications

Vidyadhar Mandrekar, Barbara Rüdiger (Autoren)

Buch | Softcover

VIII, 211 Seiten

2016 | 1. Softcover reprint of the original 1st ed. 2015
Springer International Publishing (Verlag)
978-3-319-36522-0 (ISBN)

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Considering Poisson random measures as the driving sources for stochastic (partial) differential equations allows us to incorporate jumps and to model sudden, unexpected phenomena. By using such equations the present book introduces a new method for modeling the states of complex systems perturbed by random sources over time, such as interest rates in financial markets or temperature distributions in a specific region. It studies properties of the solutions of the stochastic equations, observing the long-term behavior and the sensitivity of the solutions to changes in the initial data. The authors consider an integration theory of measurable and adapted processes in appropriate Banach spaces as well as the non-Gaussian case, whereas most of the literature only focuses on predictable settings in Hilbert spaces. The book is intended for graduate students and researchers in stochastic (partial) differential equations, mathematical finance and non-linear filtering and assumes a knowledge of the required integration theory, existence and uniqueness results and stability theory. The results will be of particular interest to natural scientists and the finance community. Readers should ideally be familiar with stochastic processes and probability theory in general, as well as functional analysis and in particular the theory of operator semigroups.

Professor Vidyadhar Mandrekar is an expert in stochastic differential equations in infinite dimensional spaces and filtering. In addition he has advised doctoral students in financial mathematics and water flows. He is the first recipient of the Distinguished Faculty Award in the Department of Statistics and Probability at Michigan State University. Professor Barbara Rüdiger graduated at the University Roma “Tor Vergata” in Mathematics with Mathematical Physics. She moved to Germany with an individual European Marie Curie “Training and Mobility of Researchers” fellowship in 1997, where she became an expert in stochastic differential equations in infinite dimensional spaces, also with non-Gaussian noise, which she applies in different areas. She is the Chair of the stochastic group at the University of Wuppertal.

1.Introduction.- 2.Preliminaries.- 3.Stochastic Integrals with Respect to Compensated Poisson Random Measures.- 4.Stochastic Integral Equations in Banach Spaces.- 5.Stochastic Partial Differential Equations in Hilbert Spaces.- 6.Applications.- 7.Stability Theory for Stochastic Semilinear Equations.- A Some Results on compensated Poisson random measures and stochastic integrals.- References.- Index.

Erscheinungsdatum	29.08.2016
Reihe/Serie	Probability Theory and Stochastic Modelling
Zusatzinfo	VIII, 211 p.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
Schlagworte	60H15, 60H05, 60G57, 60G51, 91G30, 91G80, 60G35, 3 • 60H15, 60H05, 60G57, 60G51, 91G30, 91G80, 60G35, 35B40 • Differential calculus and equations • Finance and Accounting • financial applications of other theories • interest rates stochastic models • Lévy processes • mathematics and statistics • Partial differential equations • probability and statistics • Probability theory and stochastic processes • processes with independent increments • Quantitative Finance • Random Measures • stochastic partial differential equations • stochastics
ISBN-10	3-319-36522-3 / 3319365223
ISBN-13	978-3-319-36522-0 / 9783319365220
Zustand	Neuware