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Recent Development in Stochastic Dynamics and Stochastic Analysis.
Title:
Recent Development in Stochastic Dynamics and Stochastic Analysis.
Author:
Duan, Jinqiao.
ISBN:
9789814277266
Personal Author:
Physical Description:
1 online resource (308 pages)
Series:
Interdisciplinary Mathematical Sciences
Contents:
Contents -- Editorial Foreword -- Preface -- 1. Hyperbolic Equations with Random Boundary Conditions Zdzis law Brzeźniak and Szymon Peszat -- Contents -- 1. Introduction -- 1.1. The Wave equation -- 1.2. The Transport equation -- 2. Abstract formulation -- 3. The Wave equation - introduction -- 4. Weak solution to the wave equation -- 5. Mild formulations -- 6. Scales of Hilbert spaces -- 6.1. Application to the boundary value problem -- 7. Equivalence of weak and mild solutions -- 8. The Fundamental Solution -- 9. Applications -- 10. The Transport equation -- References -- 2. Decoherent Information of Quantum Operations Xuelian Cao, Nan Li and Shunlong Luo -- Contents -- 1. Introduction -- 2. Quantum mutual information and purification of mixed states -- 3. Decoherent information -- 4. No-broadcasting in terms of decoherent information -- 5. Continuity of the decoherent information -- 6. Discussion -- Acknowledgement -- References -- 3. Stabilization of Evolution Equations by Noise Tomás Caraballo and Peter E. Kloeden -- Keywords: -- Contents -- 1. Introduction -- 2. Linear PDEs -- 2.1. Persistence of stability and stabilization by Itˆo noise -- 2.2. Destabilization by Itˆo noise -- 3. Linear PDEs without fully commuting noise -- 3.1. Stabilization by simple multiplicative Itˆo noise -- 3.2. Stabilization by Stratonovich noise -- 4. Nonlinear PDEs -- 4.1. Stabilization by Itˆo noise -- 4.2. Stabilization by Stratonovich noise -- 5. Other types of evolution equations and models -- 5.1. Delay di.erential equations -- 5.2. Stabilization of evolution inclusions and PDEs without uniqueness -- 5.3. Stabilization of stationary solutions of a stochastic PDE -- 5.4. Other types of problems -- Acknowledgement -- References -- 4. Stochastic Quantification of Missing Mechanisms in Dynamical Systems Baohua Chen and Jinqiao Duan -- Key Words: -- Contents.

1. Introduction -- 2. Stochastic analysis and stochastic parameterizations -- 3. An example -- Acknowledgements -- References -- 5. Banach Space-Valued Functionals of White Noise Yin Chen and Caishi Wang -- Contents -- 1. Introduction -- 2. Kernel theorems -- 3. Main theorems -- Acknowledgement -- References -- 6. Hurst Index Estimation for Self-Similar Processes with Long-Memory Alexandra Chronopoulou and Frederi G. Viens -- Keywords: -- Contents -- 1. Introduction -- 1.1. Motivation -- 1.2. Mathematical Background -- 2. Most Popular Hurst Parameter Estimators -- 2.1. Heuristic Estimators -- R/S Estimator: -- Correlogram: -- Variogram: -- 2.2. Maximum Likelihood Estimation -- 2.3. Wavelet Estimator -- 3. Multiplication in the Wiener Chaos & Hermite Processes -- 3.1. Basic Tools on Multiple Wiener-Itˆo Integrals -- 3.2. Main Definitions -- 4. Hurst Parameter Estimator Based on Discrete Variations -- 4.1. Estimator Construction -- 4.2. Asymptotic Properties of N -- 5. Comparison & Conclusions -- 5.1. Variations Estimator vs. mle -- 5.2. Variations' vs. Wavelet Estimator -- References -- 7. Modeling Colored Noise by Fractional Brownian Motion Jinqiao Duan, Chujin Li and Xiangjun Wang -- Keywords: -- Contents -- 1. What is noise -- 2. Generalized time derivative and generalized stochastic processes -- 3. White noise -- 4. Colored noises and fractional Brownian motion -- References -- 8. A Sufficient Condition for Non-Explosion for a Class of Stochastic Partial Di.erential Equations Hongbo Fu, Daomin Cao and Jinqiao Duan -- Keywords : -- Contents -- 1. Introduction -- 2. Preliminaries -- 3. Main results -- 4. Examples -- Acknowledgements -- References -- 9. The Influence of Transaction Costs on Optimal Control for an Insurance Company with a New Value Function Lin He, Zongxia Liang and Fei Xing -- Contents -- 1. Introduction.

2. Stochastic Control Model -- 3. Comparisons of the Two Models -- 4. HJB Equation and Verification Theorem -- 5. Construction of Solution to the HJB Equation -- 6. Economic Analysis -- Acknowledgement -- References -- 10. Limit Theorems for p-Variations of Solutions of SDEs Driven by Additive Stable Lévy Noise and Model Selection for Paleo-Climatic Data Claudia Hein, Peter Imkeller and Ilya Pavlyukevich -- Keywords: -- Contents -- 1. Introduction -- 2. Object of study and main results -- 3. Applications to real data -- 4. Functional convergence for V n (L) -- 5. Generalisation to sums of processes -- 5.1. Equivalence for p ≤ 1 -- 5.2. Equivalence for p > α -- 5.3. Equivalence for α ∈ (1, 2), p ∈ (1, α] -- Acknowledgement -- References -- 11. Class II Semi-Subgroups of the Infinite Dimensional Rotation Group and Associated Lie Algebra Takeyuki Hida and Si Si -- Keywords: -- 1. Introduction -- 2. Class II Subgroups of O(E) -- 3. Half whiskers -- 4. Lie algebra -- 5. Concluding remarks -- Acknowledgement -- References -- 12. Stopping Weyl Processes Robin L. Hudson -- Contents -- 1. Introduction -- 2. Characterization of unitary product integrals -- 3. Stop times -- 4. Factorizing product integrals at stop times -- Acknowledgement -- References -- 13. Karhunen-Loéve Expansion for Stochastic Convolution of Cylindrical Fractional Brownian Motions Zongxia Liang -- Keywords: -- Contents -- 1. Introduction -- 2. Preliminaries -- 2.1. Fractional Brownian motion -- 2.2. Hypotheses on operators A and Φ -- 2.3. Stochastic convolution WH A of cylindrical fractional Brownian motion -- 3. Karhunen-Loéve expansion of WH -- 4. Evaluation of conditional exponential moments -- Acknowledgement -- References -- 14. Stein's Method Meets Malliavin Calculus: A Short Survey With New Estimates Ivan Nourdin and Giovanni Peccati -- Keywords: -- Contents -- 1. Introduction.

1.1. Stein's heuristic and method -- 1.2. The role of Malliavin calculus -- 1.3. Beyond the method of moments -- 1.4. An overview of the existing literature -- 2. Preliminaries -- 2.1. Isonormal Gaussian processes -- 2.2. Chaos, hypercontractivity and products -- 2.3. The language of Malliavin calculus -- 3. One-dimensional approximations -- 3.1. Stein's lemma for normal approximations -- 3.2. General bounds on the Kolmogorov distance -- 3.4. Quadratic variation of the fractional Brownian motion, part one -- 3.5. The method of (fourth) moments: explicit estimates via interpolation -- 4. Multidimensional case -- 4.1. Main bounds -- 4.2. Quadratic variation of fractional Brownian motion, continued -- References -- 15. On Stochastic Integrals with Respect to an In.nite Number of Poisson Point Process and Its Applications Guanglin Rang, Qing Li and Sheng You -- Keywords: -- Contents -- 1. Introduction -- 2. Stochastic integral with respect to the infinite number of Poisson point processes -- 3. Martingale representation -- 4. Non-Markovian SDE driven by countably many Poisson point processes -- References -- 16. Lévy White Noise, Elliptic SPDEs and Euclidean Random Fields Jiang-Lun Wu -- Contents -- 1. Introduction -- 2. Lévy white noise -- 3. Lévy white noise and random fields -- 4. Comparison of vector and scalar models -- 5. New formulation of elliptic SPDEs and the lattice approximation -- Acknowledgement -- References -- 17. A Short Presentation of Choquet Integral Jia-An Yan -- Contents -- 1. Introduction -- 2. Integration of Monotone Functions -- 3. Monotone Set Functions, Measurability of Functions -- 4. Comonotonicity of Functions -- 5. The Choquet Integral -- 5.1. Definition and basic properties -- 5.2. Example 1: Distorted probability measures -- 5.3. Example 2: λ-fuzzy measures -- 6. The Subadditivity Theorem.

7. Representing Functionals as Choquet Integrals -- References.
Abstract:
Stochastic dynamical systems and stochastic analysis are of great interests not only to mathematicians but also scientists in other areas. Stochastic dynamical systems tools for modeling and simulation are highly demanded in investigating complex phenomena in, for example, environmental and geophysical sciences, materials science, life sciences, physical and chemical sciences, finance and economics. The volume reflects an essentially timely and interesting subject and offers reviews on the recent and new developments in stochastic dynamics and stochastic analysis, and also some possible future research directions. Presenting a dozen chapters of survey papers and research by leading experts in the subject, the volume is written with a wide audience in mind ranging from graduate students, junior researchers to professionals of other specializations who are interested in the subject.
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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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