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Geometrical Formulation of Renormalization-Group Method as an Asymptotic Analysis

With Applications to Derivation of Causal Fluid Dynamics
BuchKartoniert, Paperback
Verkaufsrang165200inEnglish Non Fiction A-Z
CHF188.00

Beschreibung

This book presents a comprehensive account of the renormalization-group (RG) method and its extension, the doublet scheme, in a geometrical point of view. It extract long timescale macroscopic/mesoscopic dynamics from microscopic equations in an intuitively understandable way rather than in a mathematically rigorous manner and introduces readers to a mathematically elementary, but useful and widely applicable technique for analyzing asymptotic solutions in mathematical models of nature. The book begins with the basic notion of the RG theory, including its connection with the separation of scales. Then it formulates the RG method as a construction method of envelopes of the naive perturbative solutions containing secular terms, and then demonstrates the formulation in various types of evolution equations. Lastly, it describes successful physical examples, such as stochastic and transport phenomena including second-order relativistic as well as nonrelativistic fluid dynamics with causality and transport phenomena in cold atoms, with extensive numerical expositions of transport coefficients and relaxation times. Requiring only an undergraduate-level understanding of physics and mathematics, the book clearly describes the notions and mathematical techniques with a wealth of examples. It is a unique and can be enlightening resource for readers who feel mystified by renormalization theory in quantum field theory.
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Details

ISBN/GTIN978-981-16-8191-2
ProduktartBuch
EinbandKartoniert, Paperback
Erscheinungsdatum04.04.2023
Auflage1st ed. 2022
Reihen-Nr.206
Seiten504 Seiten
SpracheEnglisch
Artikel-Nr.5685223
DetailwarengruppeEnglish Non Fiction A-Z
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Autor

Teiji Kunihiro is Professor Emeritus at Kyoto University in Japan and specializes in research in nuclear and hadron physics theory and mathematical physics. He received his Doctor of Science in Physics from Kyoto University in 1981. After serving as Associate Professor and Professor at Ryukoku University, he was appointed as Professor at the Yukawa Institute for Theoretical Physics, Kyoto University in 2000, and was Vice Director of the institute from 2006 to 2007, before moving to the Department of Physics in 2008.

Yuta Kikuchi is a Goldhaber Fellow at Brookhaven National Laboratory in the USA at the completion of the present book, and appointed to a scientist at Cambridge Quantum Computing starting in 2022. He received his Doctor of Science in Physics from Kyoto University in 2018. He was awarded the Research Fellowship for Young Scientists by Japan Society for the Promotion of Science (JSPS) in 2015, and the Goldhaber distinguished fellowship by Brookhaven National Laboratory in 2020. He currently focuses on designing quantum algorithms for near-term quantum computing.

Kyosuke Tsumura is Primary Research Scientist at the Analysis Technology Center, Fujifilm Corporation in Japan. He joined the Analysis Technology Center as a Researcher in 2006 and was promoted to current position. He received his Doctor of Science in Physics from Kyoto University in 2013. He is Leader of a project developing a novel computational method for efficient drug design.

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