An Introduction to Stochastic Processes in Physics: Containing "on the Theory of Brownian Motion" by Paul Langevin, Translated by Anthony Gythiel (Johns Hopkins Paperback) - Tapa blanda
Sinopsis
This book provides an accessible introduction to stochastic processes in physics and describes the basic mathematical tools of the trade: probability, random walks, and Wiener and Ornstein-Uhlenbeck processes. It includes end-of-chapter problems and emphasizes applications. An Introduction to Stochastic Processes in Physics builds directly upon early-twentieth-century explanations of the "peculiar character in the motions of the particles of pollen in water" as described, in the early nineteenth century, by the biologist Robert Brown. Lemons has adopted Paul Langevin's 1908 approach of applying Newton's second law to a "Brownian particle on which the total force included a random component" to explain Brownian motion. This method builds on Newtonian dynamics and provides an accessible explanation to anyone approaching the subject for the first time. Students will find this book a useful aid to learning the unfamiliar mathematical aspects of stochastic processes while applying them to physical processes that he or she has already encountered.
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Acerca del autor
Don S. Lemons is a professor of physics at Bethel College and the author of Introduction to Stochastic Processes in Physics, also published by Johns Hopkins.
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An Introduction to Stochastic Processes in Physics (Johns Hopkins Paperback)
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Johns Hopkins University Press, Baltimore and London, 2002
ISBN 10: 080186867X
ISBN 13: 9780801868672
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An Introduction to Stochastic Processes in Physics (Johns Hopkins Paperback)
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Johns Hopkins University Press, 2002
ISBN 10: 080186867X
ISBN 13: 9780801868672
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An Introduction to Stochastic Processes in Physics
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Johns Hopkins University Press, Balitmore, MD
ISBN 10: 080186867X
ISBN 13: 9780801868672
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Softcover. Condición: As New. No Jacket. First Edition. First Edition / 1st printing in Like New condition. The covers are in excellent shape with square corners and no creasing. The binding is tight and square, and the interior pages are clean and unmarked.An Introduction to Stochastic Processes in Physics by Don S. Lemons offers a clear and accessible guide to the fundamental concepts of stochastic processes as they apply to physics. It introduces readers to key mathematical tools such as probability theory, random walks, Wiener processes, and the Ornstein-Uhlenbeck process. Using the historical context of Brownian motion and building upon Langevin's approach of incorporating random forces into Newtonian dynamics, the book provides intuitive explanations for students new to the subject. End-of-chapter problems and real-world applications make it especially suitable for those encountering stochastic methods for the first time.The book will be carefully packaged for shipment for protection from the elements. A USPS electronic tracking number will be issued free of charge. Feel free to contact us for more information or pictures regarding the book. Nº de ref. del artículo: 17021
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Introduction to Stochastic Processes in Physics : Containing "on the Theory of Brownian Motion" by Paul Langevin, Translated by Anthony Gythiel
Publicado por
Johns Hopkins University Press, 2002
ISBN 10: 080186867X
ISBN 13: 9780801868672
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An Introduction to Stochastic Processes in Physics
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Johns Hopkins University Press, 2002
ISBN 10: 080186867X
ISBN 13: 9780801868672
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Introduction to Stochastic Processes in Physics : Containing "on the Theory of Brownian Motion" by Paul Langevin, Translated by Anthony Gythiel
Publicado por
Johns Hopkins University Press, 2002
ISBN 10: 080186867X
ISBN 13: 9780801868672
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An Introduction to Stochastic Processes in Physics (Paperback)
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Johns Hopkins University Press, Baltimore, MD, 2002
ISBN 10: 080186867X
ISBN 13: 9780801868672
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Paperback. Condición: new. Paperback. An accessible introduction to stochastic processes in physics which describes the basic mathematical tools of the trade: probability, random walks, and Wiener and Ornstein-Uhlenbeck processes. It includes end-of-chapter problems and emphasizes applications. The book builds directly upon early-20th-century explanations of the "peculiar character in the motions of the particles of pollen in water" as described, in the early 19th century, by the biologist Robert Brown. Lemons has adopted Paul Langevin's 1908 approach of applying Newton's second law to a "Brownian particle on which the total force included a random component" to explain Brownian motion. This method builds on Newtonian dynamics and provides an accessible explanation to anyone approaching the subject for the first time. Students should find this book a useful aid to learning the unfamiliar mathematical aspects of stochastic processes while applying them to physical processes that they have already encountered. Students will find this book a useful aid to learning the unfamiliar mathematical aspects of stochastic processes while applying them to physical processes that he or she has already encountered. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9780801868672
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An Introduction to Stochastic Processes in Physics
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John Hopkins University Press, Baltimore, 2002
ISBN 10: 080186867X
ISBN 13: 9780801868672
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An Introduction to Stochastic Processes in Physics
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Johns Hopkins University Press, 2002
ISBN 10: 080186867X
ISBN 13: 9780801868672
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An Introduction to Stochastic Processes in Physics
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Johns Hopkins University Press, 2002
ISBN 10: 080186867X
ISBN 13: 9780801868672
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Condición: New. 2002. Paperback. Students will find this book a useful aid to learning the unfamiliar mathematical aspects of stochastic processes while applying them to physical processes that he or she has already encountered. Num Pages: 160 pages, 27, 27 black & white line drawings. BIC Classification: PBWL; PDE; PH. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 218 x 142 x 10. Weight in Grams: 184. . . . . . Nº de ref. del artículo: V9780801868672
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