Stochastic Differential Equations von K. Sobczyk | With Applications to Physics and Engineering | ISBN 9780792303398

Stochastic Differential Equations

With Applications to Physics and Engineering

von K. Sobczyk
Buchcover Stochastic Differential Equations | K. Sobczyk | EAN 9780792303398 | ISBN 0-7923-0339-3 | ISBN 978-0-7923-0339-8

Stochastic Differential Equations

With Applications to Physics and Engineering

von K. Sobczyk

Inhaltsverzeichnis

  • Introduction: Origin of Stochastic Differential Equations.
  • I. Stochastic Processes — Short ResumÉ.
  • 1. Introductory Remarks.
  • 2. Probability and Random Variables.
  • 3. Stochastic Processes — Basic Concepts.
  • 4. Gaussian Processes.
  • 5. Stationary Processes.
  • 6. Markov Processes.
  • 7. Processes With Independent Increments; Wiener Process And Poisson Process.
  • 8. Point Stochastic Processes.
  • 9. Martingales.
  • 10. Generalized Stochastic Processes; White Noise.
  • 11. Processes with Values in Hilbert Space.
  • 12. Stochastic Operators.
  • Examples.
  • II. Stochastic Calculus: Principles and Results.
  • 13. Introductory Remarks.
  • 14. Processes of Second Order; Mean Square Analysis.
  • 15. Analytical Properties of Sample Functions.
  • 16. ITÔ Stochastic Integral.
  • 17. Stochastic Differentials. ITÔ Formula.
  • 18. Counting Stochastic Integral.
  • 19. Generalizations.
  • III. Stochastic Differential Equations: Basic Theory.
  • 20. Introductory Remarks.
  • 21. Regular Stochastic Differential Equations.
  • 22. ITÔ Stochastic Differential Equations.
  • 23. Stochastic Abstract Differential Equations.
  • IV. Stochastic Differential Equations: Analytical Methods.
  • 24. Introductory Remarks.
  • 25. Systems with Random Initial Conditions.
  • 26. Linear Systems with Random Excitation.
  • 27. Nonlinear Systems with Random Excitation.
  • 28. Stochastic Systems.
  • 29. Stochastic Partial Differential Equations.
  • V. Stochastic Differential Equations: Numerical Methods.
  • 30. Introductory Remarks.
  • 31. Deterministic Equations: Basic Numerical Methods.
  • 32. Approximate Schemes for Regular Stochastic Equations.
  • 33. Numerical Integration of ITÔ Stochastic Equations.
  • VI. Applications: Stochastic Dynamics of Engineering Systems.
  • 34. Introduction.
  • 35. Random Vibrations of Road Vehicles.
  • 36. Response of Structures toTurbulent Field.
  • 37. Response of Structures To Earthquake Excitation.
  • 38. Response of Structures to Sea Waves.
  • 39. Stochastic Stability of Structures.
  • 40. Other Problems.
  • Appendix..
  • A.1. Cauchy formula.
  • A.2. Gronwall-Bellman inequality.
  • References.