000 03077nam a22005057a 4500
001 sulb-eb0023924
003 BD-SySUS
005 20160413122415.0
007 cr nn 008mamaa
008 130328s2013 gw | s |||| 0|eng d
020 _a9783642312519
_9978-3-642-31251-9
024 7 _a10.1007/978-3-642-31251-9
_2doi
050 4 _aQC174.7-175.36
072 7 _aPHS
_2bicssc
072 7 _aPHDT
_2bicssc
072 7 _aSCI055000
_2bisacsh
082 0 4 _a621
_223
100 1 _aLiehr, Andreas W.
_eauthor.
245 1 0 _aDissipative Solitons in Reaction Diffusion Systems
_h[electronic resource] :
_bMechanisms, Dynamics, Interaction /
_cby Andreas W. Liehr.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aXIX, 212 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Series in Synergetics,
_x0172-7389 ;
_v70
505 0 _aExperimental Observations -- Modeling -- Dynamics -- Interaction of Slow Dissipative Solitons -- Dynamics and Interaction of Experimental Dissipative Solitons -- Generation and Annihilation.
520 _aDissipative solitons are local excitations of nonlinear continuous systems which emerge due to a flux of energy or matter. Although they are continuous entities, dissipative solitons in reaction diffusion systems behave like particles: They are generated or annihilated as a whole, propagate with a well-defined velocity and interact with each other, which can lead to the formation of bound states, e.g. This book introduces dissipative solitons in the context of pattern formation, discusses experimental findings in chemical and physical systems, deduces a phenomenological model of dissipative solitons from basic principles, analyzes their dynamics and interaction from a theoretical point of view and verifies these finding in an experimental system by means of stochastic data analysis. Finally, the mechanisms of annihilation and generation are explained on the basis of simulations. Theoretical considerations focus on a certain family of reaction diffusion models with the result such that basic and advanced analytical methods can be introduced from scratch and can be followed down to computational results.
650 0 _aPhysics.
650 0 _aPhysical chemistry.
650 0 _aStatistical physics.
650 0 _aDynamical systems.
650 1 4 _aPhysics.
650 2 4 _aStatistical Physics, Dynamical Systems and Complexity.
650 2 4 _aTheoretical, Mathematical and Computational Physics.
650 2 4 _aPhysical Chemistry.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642312502
830 0 _aSpringer Series in Synergetics,
_x0172-7389 ;
_v70
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-31251-9
912 _aZDB-2-PHA
942 _2Dewey Decimal Classification
_ceBooks
999 _c46016
_d46016