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Mean Field Theories and Dual Variation - Mathematical Structures of the Mesoscopic Model / by Takashi Suzuki
(Atlantis Studies in Mathematics for Engineering and Science. ISSN:24679631 ; 11)

2nd ed. 2015.
出版者 (Paris : Atlantis Press : Imprint: Atlantis Press)
出版年 2015
大きさ XIII, 444 p : online resource
著者標目 *Suzuki, Takashi author
SpringerLink (Online service)
件 名 LCSH:Mathematical analysis
LCSH:Mathematical optimization
LCSH:Calculus of variations
LCSH:Mathematical physics
LCSH:Population genetics
LCSH:Biomathematics
FREE:Analysis
FREE:Calculus of Variations and Optimization
FREE:Mathematical Physics
FREE:Population Genetics
FREE:Mathematical and Computational Biology
一般注記 Chemotaxis -- Time Relaxization -- Toland Duality -- Phenomenology -- Phase Transition -- Critical Phenomena of Isolated Systems -- Self-Interacting Fluids -- Magnetic Fields -- Boltzmann-Poisson Equation -- Particle Kinetics -- Parabolic Equations -- Gauge Fields -- Higher- Dimensional Blowup
Mean field approximation has been adopted to describe macroscopic phenomena from microscopic overviews. It is still in progress; fluid mechanics, gauge theory, plasma physics, quantum chemistry, mathematical oncology, non-equilibirum thermodynamics.  spite of such a wide range of scientific areas that are concerned with the mean field theory, a unified study of its mathematical structure has not been discussed explicitly in the open literature.  The benefit of this point of view on nonlinear problems should have significant impact on future research, as will be seen from the underlying features of self-assembly or bottom-up self-organization which is to be illustrated in a unified way. The aim of this book is to formulate the variational and hierarchical aspects of the equations that arise in the mean field theory from macroscopic profiles to microscopic principles, from dynamics to equilibrium, and from biological models to models that arise from chemistry and physics
HTTP:URL=https://doi.org/10.2991/978-94-6239-154-3
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Springer eBooks 9789462391543
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EB00196409

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データ種別 電子ブック
分 類 LCC:QA299.6-433
DC23:515
書誌ID 4000117333
ISBN 9789462391543

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