Gibbs states on countable sets /
Preston, Christopher J.,
Gibbs states on countable sets / Christopher J. Preston. - Cambridge : Cambridge University Press, 1974. - 1 online resource (ix, 128 pages) : digital, PDF file(s). - Cambridge tracts in mathematics ; 68 . - Cambridge tracts in mathematics ; 68. .
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
The book is an introduction to some of the 1967-1974 results and techniques in classical lattice statistical mechanics. It is written in the language of probability theory rather than that of physics, and is thus aimed primarily at mathematicians who might have little or no background in physics. This area of statistical mechanics is presently enjoying a rapid growth and the book should allow a graduate student or research mathematician to find out what is happening in it. The book is self-contained except for some basic concepts of probability theory, and can be read by any undergraduate student in mathematics who has a reasonable background in probability.
9780511897122 (ebook)
Probabilities.
Measure theory.
Set theory.
Markov processes.
QA273.43 / .P72 1974
519.2/02/453
Gibbs states on countable sets / Christopher J. Preston. - Cambridge : Cambridge University Press, 1974. - 1 online resource (ix, 128 pages) : digital, PDF file(s). - Cambridge tracts in mathematics ; 68 . - Cambridge tracts in mathematics ; 68. .
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
The book is an introduction to some of the 1967-1974 results and techniques in classical lattice statistical mechanics. It is written in the language of probability theory rather than that of physics, and is thus aimed primarily at mathematicians who might have little or no background in physics. This area of statistical mechanics is presently enjoying a rapid growth and the book should allow a graduate student or research mathematician to find out what is happening in it. The book is self-contained except for some basic concepts of probability theory, and can be read by any undergraduate student in mathematics who has a reasonable background in probability.
9780511897122 (ebook)
Probabilities.
Measure theory.
Set theory.
Markov processes.
QA273.43 / .P72 1974
519.2/02/453