Statistical mechanics : entropy, order parameters, and complexity
By: Sethna, James P.
Material type:
BookSeries: Oxford Master Series in statistical, computational, and theoretical physics. Oxford Master Series in physics. Publisher: Oxford Oxford University Press 2006Description: xix, 349p.ISBN: 0198566778; 9780198566779.Subject(s): Statistical mechanicsDDC classification: 530.13 | Se75s Summary: In each generation, scientists must redefine their fields: abstracting, simplifying and distilling the previous standard topics to make room for new advances and methods. Sethna's book takes this step for statistical mechanics - a field rooted in physics and chemistry whose ideas and methods are now central to information theory, complexity, and modern biology. Aimed at advanced undergraduates and early graduate students in all of these fields, Sethna limits his main presentation to the topics that future mathematicians and biologists, as well as physicists and chemists, will find fascinating and central to their work. The amazing breadth of the field is reflected in the author's large supply of carefully crafted exercises, each an introduction to a whole field of study: everything from chaos through information theory to life at the end of the universe.
| Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
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Books
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PK Kelkar Library, IIT Kanpur | General Stacks | 530.13 Se75s (Browse shelf) | Available | A155695 |
Browsing PK Kelkar Library, IIT Kanpur Shelves , Collection code: General Stacks Close shelf browser
| 530.13 R684n Nonequilibrium statistical physics | 530.13 SA14S ELEMENTS OF STATISTICAL MECHANICS | 530.13 SA15G GEOMETRICAL FRUSTRATION | 530.13 Se75s Statistical mechanics | 530.13 SK41P PHYSICS AND CHANCE | 530.13 SM48P PRINCIPLES OF STATISTICAL PHYSICS | 530.13 SP24M MONTE CARLO PRINCIPLES AND NEUTRON TRANSPORT PROBLEMS |
In each generation, scientists must redefine their fields: abstracting, simplifying and distilling the previous standard topics to make room for new advances and methods. Sethna's book takes this step for statistical mechanics - a field rooted in physics and chemistry whose ideas and methods are now central to information theory, complexity, and modern biology. Aimed at advanced undergraduates and early graduate students in all of these fields, Sethna limits his main presentation to the topics that future mathematicians and biologists, as well as physicists and chemists, will find fascinating and central to their work. The amazing breadth of the field is reflected in the author's large supply of carefully crafted exercises, each an introduction to a whole field of study: everything from chaos through information theory to life at the end of the universe.
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