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Mathematical Foundations of the State Lumping of Large Systems (Mathematics and Its Applications) -
作者:A.F. Turbin
A.F. Turbin
人物简介:
Mathematical Foundations of the State Lumping of Large Systems (Mathematics and Its Applications)书籍相关信息
- ISBN:9780792324133
- 作者:Vladimir S. Korolyuk / A.F. Turbin
- 出版社:Netherlands: Springer
- 出版时间:1993-08-31
- 页数:288
- 价格:USD 139.00
- 纸张:暂无纸张
- 装帧:Hardcover
- 开本:暂无开本
- 语言:暂无语言
- 适合人群:Researchers in mathematics, physics, engineering, computer science, and operations research, graduate students in these fields, and professionals working with complex systems analysis
- TAG:Mathematical Modeling / systems theory / Statistical Mechanics / Operations Research / optimization / Large Systems
- 豆瓣评分:暂无豆瓣评分
- 更新时间:2025-05-20 20:58:43
内容简介:
This volume is devoted to theoretical results which formalize the concept of state lumping: the transformation of evolutions of systems having a complex (large) phase space to those having a simpler (small) phase space. The theory of phase lumping has aspects in common with averaging methods, projection formalism, stiff systems of differential equations, and other asymptotic theorems. Numerous examples are presented in this book from the theory and applications of random processes, and statistical and quantum mechanics which illustrate the potential capabilities of the theory developed. The volume contains seven chapters. Chapter 1 presents an exposition of the basic notions of the theory of linear operators. Chapter 2 discusses aspects of the theory of semigroups of operators and Markov processes which have relevance to what follows. In Chapters 3--5, invertibly reducible operators perturbed on the spectrum are investigated, and the theory of singularly perturbed semigroups of operators is developed assuming that the perturbation is subordinated to the perturbed operator. The case of arbitrary perturbation is also considered, and the results are presented in the form of limit theorems and asymptotic expansions. Chapters 6 and 7 describe various applications of the method of phase lumping to Markov and semi-Markov processes, dynamical systems, quantum mechanics, etc. The applications discussed are by no means exhaustive and this book points the way to many more fruitful applications in various other areas. For researchers whose work involves functional analysis, semigroup theory, Markov processes and probability theory.