000			03559nam a22005415i 4500
001			978-3-319-62063-3
003			DE-He213
005			20220801222344.0
007			cr nn 008mamaa
008			170816s2018 sz | s |||| 0|eng d
020			_a9783319620633 _9978-3-319-62063-3
024	7		_a10.1007/978-3-319-62063-3 _2doi
050		4	_aTK1-9971
072		7	_aTHR _2bicssc
072		7	_aTEC007000 _2bisacsh
072		7	_aTHR _2thema
082	0	4	_a621.3 _223
100	1		_aMerhav, Neri. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _961045
245	1	0	_aStatistical Physics for Electrical Engineering _h[electronic resource] / _cby Neri Merhav.
250			_a1st ed. 2018.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2018.
300			_aXII, 137 p. 21 illus., 3 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
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			_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.
650		0	_aElectrical engineering. _961046
650		0	_aMathematical physics. _911013
650		0	_aStatistics . _931616
650	1	4	_aElectrical and Electronic Engineering. _961047
650	2	4	_aTheoretical, Mathematical and Computational Physics. _931560
650	2	4	_aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. _931790
650	2	4	_aMathematical Methods in Physics. _931865
650	2	4	_aMathematical Physics. _911013
710	2		_aSpringerLink (Online service) _961048
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783319620626
776	0	8	_iPrinted edition: _z9783319620640
776	0	8	_iPrinted edition: _z9783319872247
856	4	0	_uhttps://doi.org/10.1007/978-3-319-62063-3
912			_aZDB-2-ENG
912			_aZDB-2-SXE
942			_cEBK
999			_c80678 _d80678