This volume reviews the theory and simulation methods of stochastic kinetics by integrating historical and recent perspectives, presents applications, mostly in the context of systems biology and also in combustion theory. In recent years, due to the development in experimental techniques, such as optical imaging, single cell analysis, and fluorescence spectroscopy, biochemical kinetic data inside single living cells have increasingly been available. The emergence of systems biology brought renaissance in the application of stochastic kinetic methods.
This volume reviews the theory and simulation methods of stochastic kinetics by integrating historical and recent perspectives, presents applications, mostly in the context of systems biology and also in combustion theory. In recent years, due to the development in experimental techniques, such as optical imaging, single cell analysis, and fluorescence spectroscopy, biochemical kinetic data inside single living cells have increasingly been available. The emergence of systems biology brought renaissance in the application of stochastic kinetic methods.
Péter Érdi has served since 2002 as the Henry Luce Professor of Complex Systems Studies at Kalamazoo College in Kalamazoo, Michigan, where he teaches interdisciplinary classes and is cross-appointed in the physics and psychology departments. Péter Érdi grew up in Budapest, a research professor at the Wigner Research Centre for Physics. Érdi served between 2015 and 2019 as the Editor-in-Chief of the Elsevier journal Cognitive Systems Research, served as a vice-president of the International Neural Network Society, and was a board member of several learned societies scientific publishing houses. He has given around 200 invited lectures in the overlapping areas of computational, cognitive, and social sciences in the United States, Europe, Asia, Africa, and South America. He is a founding director of a study abroad program, the Budapest Semester in Cognitive Science, which takes international students to Budapest for a semester. Péter Érdi has written well-accepted bookspublished by Princeton University Press, MIT Press, and Springer (Complexity Explained, 2008; Stochastic Chemical Kinetics Theory and (Mostly) Systems Biological Applications (with Gábor Lente), 2014. His recent book, RANKING: The Unwritten Rules of the Social Game We All Play (Oxford University Press, 2020) has been translated into Chinese, German, Hungarian, Japanese, and Korean. Zsuzsanna Szvetelszky is a Hungarian social psychologist with a master's degree in Librarianship and Information Management from Eötvös University Budapest and a Ph.D. in Social Psychology from the University of Pécs. She has successfully combined her academic interest with practical applications during her career, as she has been able to transfer her academic research to business practice. She is affiliated to the Károli Gáspár University of the Reformed Church in Hungary and the Research Center for Educational and Network Studies, Centre for Social Sciences in Budapest. Dr,Szvetelszky has also served as a corporate consultant focused on communication projects and systems. Her six books written in Hungarian, and her papers published in international journals, reflect her broad interests from gossip psychology to informal networking to corporate communication. She frequently appears in Hungarian newspapers and magazines and is often featured on radio and television programs.
Inhaltsangabe
Stochastic kinetics: why and how?.- Chemical kinetics: a prototype of nonlinear science.- Applicability of the deterministic model.- Fluctuation phenomena.- Stochastic chemical kinetics.- Continuous time discrete state stochastic models.- Model frameworks.- Stochastic processes.- The standard stochastic model of homogeneous reaction kinetics.- Solutions of the master equation.- Stationary and transient distributions.- Simulation methods.- Deterministic continuation.- Continuous state approximations.- Non-Markovian approaches.- Applications.- Introductory remarks.- Fluctuations near instabilities.- Compartmental systems.- Autocatalysis.- Enzyme kinetics.- Signal processing.- Gene expression.- Chiral symmetry.- Parameter estimation in stochastic kinetic models.- Stochastic resonance in chemical systems.- Computation with small stochastic kinetic systems.- The Book in Retrospect and Prospect.- Index.
Stochastic kinetics: why and how?.- Chemical kinetics: a prototype of nonlinear science.- Applicability of the deterministic model.- Fluctuation phenomena.- Stochastic chemical kinetics.- Continuous time discrete state stochastic models.- Model frameworks.- Stochastic processes.- The standard stochastic model of homogeneous reaction kinetics.- Solutions of the master equation.- Stationary and transient distributions.- Simulation methods.- Deterministic continuation.- Continuous state approximations.- Non-Markovian approaches.- Applications.- Introductory remarks.- Fluctuations near instabilities.- Compartmental systems.- Autocatalysis.- Enzyme kinetics.- Signal processing.- Gene expression.- Chiral symmetry.- Parameter estimation in stochastic kinetic models.- Stochastic resonance in chemical systems.- Computation with small stochastic kinetic systems.- The Book in Retrospect and Prospect.- Index.
Rezensionen
"This is the first book in a new, highly exciting, growing area of applied mathematics, with applications to modern cell biology. The level is very accessible to a wide range of readers from the physical sciences to biology and the life sciences. ... The book is lucidly written and has an extensive, scholarly researched bibliography which will certainly be useful to anyone who wants to go deeper into the subject." (Hong Qian, SIAM Review, Vol. 57 (3), September, 2015)
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