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When Things Grow Many Complexity Universality And Emergence In Nature 1st Edition Lawrence S Schulman

  • SKU: BELL-38403980
When Things Grow Many Complexity Universality And Emergence In Nature 1st Edition Lawrence S Schulman
$ 31.00 $ 45.00 (-31%)

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When Things Grow Many Complexity Universality And Emergence In Nature 1st Edition Lawrence S Schulman instant download after payment.

Publisher: Oxford University Press [OUP]
File Extension: PDF
File size: 9.61 MB
Pages: 305
Author: Lawrence S. Schulman
ISBN: 9780198861881, 0198861885, B09RGN5DNW
Language: English
Year: 2022
Edition: 1

Product desciption

When Things Grow Many Complexity Universality And Emergence In Nature 1st Edition Lawrence S Schulman by Lawrence S. Schulman 9780198861881, 0198861885, B09RGN5DNW instant download after payment.

Main subject categories: • Statistical mechanics • Mathematical physics • Mathematical models • Universality • Renormalization • Critical phenomena • Social sciences • Biological sciences • Physical sciences

This is a book about statistical mechanics, but not so much about statistical physics. The distinction is in the applications, not the methods. The central idea is that when dealing with objects that have a large number of constituents qualitatively new phenomena emerge. This is a message one can take from physics and apply to a myriad of topics.

Aimed at advanced undergraduates and graduate students, When Things Grow Many: Complexity, Universality and Emergence in Nature is an accessible and engaging textbook introducing the theory of statistical mechanics, as well as its fascinating real-world applications. The book's original approach, which covers interdisciplinary applications of statistical mechanics to a wide range of subjects, including chemistry, biology, linguistics, economics, sociology and more, is bound to appeal to a wide audience.

While the first part of the book introduces the various methods of statistical physics, including complexity, emergence, universality, self-organized criticality, power laws and other timely topics, the final sections focus on specific relevance of these methods to the social, biological and physical sciences. The mathematical content is woven throughout the book in the form of equations, as well as further background and explanations being provided in footnotes and appendices.

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