This book provides a systematic, self-contained treatment of the theory of quantum probability and quantum Markov processes for graduate students and researchers. Building a framework that parallels the development of classical probability, it aims to help readers up the steep learning curve of the quantum theory.
This book provides a systematic, self-contained treatment of the theory of quantum probability and quantum Markov processes for graduate students and researchers. Building a framework that parallels the development of classical probability, it aims to help readers up the steep learning curve of the quantum theory.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Dr Mou-Hsiung Chang served as a Professor of Mathematical Sciences at the University of Alabama in Huntsville for twenty-eight years, where he also served as department chair for eight years, prior to joining the US Army Research Office (ARO) in 2002. He has published extensively on stochastic analysis and control and on quantum stochastics, with more than 70 refereed journal articles, 40 conference papers and technical reports, and more than 80 invited technical presentations at conferences and universities.
Inhaltsangabe
Introduction and summary 1. Operator algebras and topologies 2. Quantum probability 3. Quantum stochastic calculus 4. Quantum stochastic differential equations 5. Quantum Markov semigroups 6. Minimal QDS 7. Quantum Markov processes 8. Strong quantum Markov processes 9. Invariant normal states 10. Recurrence and transience 11. Ergodic theory.