Contents; I: STOCHASTIC CALCULUS; II: DYNAMICS OF THE SCATTERING PROCESS; III: SIMULATION AND EXPERIMENT; A: Stability and infinite divisibility; B: Ito versus Stratonovich stochastic integrals; C: Filtrations, conditional probability, and Markov property; D: Girsanov's theorem; E: Partition function solution to BDI model; F: Summary of K-scattering; G: Iterative solution for vector processes; H: Open problems; I: Suggested further reading; References; Index
Summary
- ;The book develops the dynamical theory of scattering from random media from first principles. Its key findings are to characterize the time evolution of the scattered field in terms of stochastic differential equations, and to illustrate this framework
