000 03145nam a22004575i 4500
001 978-0-85729-355-8
003 DE-He213
005 20140220083713.0
007 cr nn 008mamaa
008 110204s2011 xxk| s |||| 0|eng d
020 _a9780857293558
_9978-0-85729-355-8
024 7 _a10.1007/978-0-85729-355-8
_2doi
050 4 _aQA1-939
072 7 _aPB
_2bicssc
072 7 _aMAT000000
_2bisacsh
082 0 4 _a510
_223
100 1 _aNaudts, Jan.
_eauthor.
245 1 0 _aGeneralised Thermostatistics
_h[electronic resource] /
_cby Jan Naudts.
264 1 _aLondon :
_bSpringer London,
_c2011.
300 _aX, 201p. 28 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aParameter estimation -- Statistical Models -- Thermodynamic Equilibrium -- The Microcanonical Ensemble -- Hyperensembles -- The Mean Field Approximation -- q-Deformed Distributions -- Tsallis’ Thermostatistics -- Changes of Scale -- General deformations -- General Entropies.
520 _aThe domain of non-extensive thermostatistics has been subject to intensive research over the past twenty years and has matured significantly. Generalised Thermostatistics cuts through the traditionalism of many statistical physics texts by offering a fresh perspective and seeking to remove elements of doubt and confusion surrounding the area. The book is divided into two parts - the first covering topics from conventional statistical physics, whilst adopting the perspective that statistical physics is statistics applied to physics. The second developing the formalism of non-extensive thermostatistics, of which the central role is played by the notion of a deformed exponential family of probability distributions. Presented in a clear, consistent, and deductive manner, the book focuses on theory, part of which is developed by the author himself, but also provides a number of references towards application-based texts. Written by a leading contributor in the field, this book will provide a useful tool for learning about recent developments in generalized versions of statistical mechanics and thermodynamics, especially with respect to self-study. Written for researchers in theoretical physics, mathematics and statistical mechanics, as well as graduates of physics, mathematics or engineering. A prerequisite knowledge of elementary notions of statistical physics and a substantial mathematical background are required.
650 0 _aMathematics.
650 0 _aMathematical physics.
650 0 _aThermodynamics.
650 1 4 _aMathematics.
650 2 4 _aMathematics, general.
650 2 4 _aStatistical Physics, Dynamical Systems and Complexity.
650 2 4 _aMathematical Methods in Physics.
650 2 4 _aThermodynamics.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780857293541
856 4 0 _uhttp://dx.doi.org/10.1007/978-0-85729-355-8
912 _aZDB-2-SMA
999 _c105193
_d105193