This book accounts in 5 independent parts, recent main developments of Stochastic Analysis: Gross-Stroock Sobolev space over a Gaussian probability space; quasi-sure analysis; anticipate stochastic integrals as divergence operators; principle of transfer from ordinary differential equations to stoch
Stochastic analysis
โ Scribed by Kiyosi Ito
- Publisher
- NH
- Year
- 1985
- Tongue
- English
- Leaves
- 497
- Series
- NHML032
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Stochastic analysis, a branch of probability theory stemming from the theory of stochastic differential equations, is becoming increasingly important in connection with partial differential equations, non-linear functional analysis, control theory and statistical mechanics.
โฆ Table of Contents
Cover......Page 1
Title Page......Page 4
Copyright......Page 5
Preface......Page 6
CONTENTS......Page 8
An introduction to Malliavin's calculus......Page 10
Jump processes and boundary processes......Page 62
Diffusive behavior of a random walk in a random medium......Page 114
Random motion of strings and stochastic differential equations on the space C([O, 1], Rc!)......Page 130
An example of a stochastic quantum process: interaction of a quantum particle with a boson field......Page 144
Convergence in L2 of stochastic Ising models: Jump processes and diffusions......Page 158
On the asymptotic behavior of the fundamental solution of the heat equation on certain manifolds......Page 178
Infinite dimensional Ornstein-Uhlenbeck processes......Page 206
Ljapunov indices determine absolutely continuous spectra of stationary random one-dimensional SchrOdinger operators......Page 234
First order stochastic partial differential equations......Page 258
Applications of the Malliavin calculus, Part I......Page 280
Stochastic flows of diffeomorphisms......Page 316
Some recent results in the optimal control of diffusion processes......Page 342
Implicit functions in finite corank on the Wiener Spaces......Page 378
Conditional laws and Hormander's condition......Page 396
Transformations of the Brownian motion on the Lie group......Page 418
Asymptotic behavior of nonlinear Brownian motion near the instability point......Page 432
Entropy functional (free energy) for dynamical systems and their random perturbations......Page 446
Limit theorems for certain diffusion processes with interaction......Page 478
๐ SIMILAR VOLUMES
Stochastic analysis is often understood as the analysis of functionals defined on the Wiener space, i.e., the space on which the Wiener process is realized. Since the Wiener space is infinite-dimensional, it requires a special calculus, the so-called Malliavin calculus. This book provides readers wi
This book is intended for university seniors and graduate students majoring in probability theory or mathematical finance. In the first chapter, results in probability theory are reviewed. Then, it follows a discussion of discrete-time martingales, continuous time square integrable martingales (part
<p><p>This book is intended for university seniors and graduate students majoring in probability theory or mathematical finance. In the first chapter, results in probability theory are reviewed. Then, it follows a discussion of discrete-time martingales, continuous time square integrable martingales