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008			170816s2018 gw | s |||| 0|eng d
020			_a9783319620633
024	7		_a10.1007/978-3-319-62063-3 _2doi
040			_bspa _cES-MaUEC _dES-MaUEC
050		4	_aQC174.8 _bM474 2018 EB
100	1		_aMerhav, Neri. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/no2010027723 _1http://viaf.org/viaf/107441981/
245	1	0	_aStatistical Physics for Electrical Engineering _cby Neri Merhav.
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XII, 137 páginas 21 ilustraciones, 3 ilustraciones a color.)
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aEngineering (Springer-11647)
505	0		_aPreface -- Introduction -- Kinetic Theory and the Maxwell Distribution -- Elementary Statistical Physics -- Quantum Statistics - the Fermi-Dirac Distribution -- Quantum Statistics - the Bose-Einstein Distribution -- Interacting Particle Systems and Phase Transitions -- Vibrations in a Solid - Phonons and Heat Capacity -- Fluctuations, Stochastic Dynamics and Noise -- A Brief Touch on Information Theory.
520	3		_aThe main body of this book is devoted to statistical physics, whereas much less emphasis is given to thermodynamics. In particular, the idea is to present the most important outcomes of thermodynamics - most notably, the laws of thermodynamics - as conclusions from derivations in statistical physics. Special emphasis is on subjects that are vital to engineering education. These include, first of all, quantum statistics, like the Fermi-Dirac distribution, as well as diffusion processes, both of which are fundamental to a sound understanding of semiconductor devices. Another important issue for electrical engineering students is understanding of the mechanisms of noise generation and stochastic dynamics in physical systems, most notably in electric circuitry. Accordingly, the fluctuation-dissipation theorem of statistical mechanics, which is the theoretical basis for understanding thermal noise processes in systems, is presented from a signals-and-systems point of view, in a way that is readily accessible for engineering students and in relation with other courses in the electrical engineering curriculum, like courses on random processes.
988			_aEBSPRINGER_2018
650		7	_2embne _9138345 _aFísica estadística
776	0	8	_iEdición impresa: _z9783319620626
776	0	8	_iEdición impresa: _z9783319620640
776	0	8	_iEdición impresa: _z9783319872247
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-62063-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE