000			02056nam a22003497a 4500
001			sulb-eb0015879
003			BD-SySUS
005			20160405134448.0
008			120508s2013||||enk o ||1 0|eng|d
020			_a9781139505727 (ebook)
020			_z9781107032309 (hardback)
020			_z9781107471672 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQC20.7.S64 _bH45 2013
082	0	0	_a515/.7222 _223
100	1		_aHelffer, Bernard, _eauthor.
245	1	0	_aSpectral Theory and its Applications / _cBernard Helffer.
246	3		_aSpectral Theory & its Applications
264		1	_aCambridge : _bCambridge University Press, _c2013.
300			_a1 online resource (262 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	0		_aCambridge Studies in Advanced Mathematics ; _v139
500			_aTitle from publisher's bibliographic system (viewed on 04 Apr 2016).
520			_aBernard Helffer's graduate-level introduction to the basic tools in spectral analysis is illustrated by numerous examples from the Schrödinger operator theory and various branches of physics: statistical mechanics, superconductivity, fluid mechanics and kinetic theory. The later chapters also introduce non self-adjoint operator theory with an emphasis on the role of the pseudospectra. The author's focus on applications, along with exercises and examples, enables readers to connect theory with practice so that they develop a good understanding of how the abstract spectral theory can be applied. The final chapter provides various problems that have been the subject of active research in recent years and will challenge the reader's understanding of the material covered.
650		0	_aSpectral theory (Mathematics)
776	0	8	_iPrint version: _z9781107032309
830		0	_aCambridge Studies in Advanced Mathematics ; _v139.
856	4	0	_uhttp://dx.doi.org/10.1017/CBO9781139505727
942			_2Dewey Decimal Classification _ceBooks
999			_c37723 _d37723