Unified Non-Local Relativistic Theory of Transport Processes

Unified Non-Local Relativistic Theory of Transport Processes
Author :
Publisher : Elsevier
Total Pages : 468
Release :
ISBN-10 : 9780444638588
ISBN-13 : 044463858X
Rating : 4/5 (58X Downloads)

Book Synopsis Unified Non-Local Relativistic Theory of Transport Processes by : Boris V. Alexeev

Download or read book Unified Non-Local Relativistic Theory of Transport Processes written by Boris V. Alexeev and published by Elsevier. This book was released on 2016-08-21 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unified Non-Local Relativistic Theory of Transport Processes highlights the most significant features of non-local relativistic theory, which is a highly effective tool for solving many physical problems in areas where the classical local theory runs into difficulties. The book provides the fundamental science behind new non-local physics – generalized for relativistic cases and applied in a range of scales – from transport phenomena in massless physical systems to unified theory of dissipative structures. The book complements the author's previous monograph on Unified Non-Local Theory of Transport Processes (Elsevier, 2015), which is mainly devoted to non-relativistic non-local physics. Nevertheless, the theory as handled in this new work is outlined independently so the book can be studied on its own. - Comprehensive collection of non-local relativistic theory with examples that could previously only be found scattered in the literature - Provides applications in quantum non-local relativistic hydrodynamics, quantum solitons in solid matter, and plasmas - Uses generalized non-local kinetic theory as a highly effective tool for solving many physical problems beyond classical physics - Presents non-local relativistic physics in many related problems of hydrodynamics, gravity, nonlinear optics, time quantization, and applied mathematics - Includes concrete mathematical problems that are physically consistent and can be solved and studied both analytically and numerically


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