Institute of Applied PhysicsNonlinear Systems and Patternformation (NSPF)  Magnetism  Material Science  Applied Physics 

Reaction Diffusion SystemsFurther details with respect to the treatment of reaction diffusion systems Observing nature shows that many temporal and spatial structures are not formed by the outside, but rather by the respective system itself. To study these selforganizing processes is the subject of the research group "Pattern Formation in dissipative Systems". Having a closer look on these selforganizing phenomenons it turns out that a lot of them can be well described by a class of reactiondiffusion equations of the following types: These equations are describing the temporal developments of the two distributions u(x,t) und v(x,t). Their dynamics are determined by a local acting reaction term and by a spatial coupling via a diffusion term. In this way the complex behaviour of many bilogical, chemical, physical and other selforganizing systems can be described. The pulse spreading on a chickens' retina, the BelousovZhabotinskyreaction or dc gas discharge systems may serve as an example for this. Important aspects of these systems are potential bistabilities already in a state of stationary homogenous structures, spatial, temporal and spatiotemporal inhomogeneous structures including chaotic behaviour. In the case of stationary structures, the second component v, the socalled inhibitor, gets a stabilizing effect. This stabilizing effect shows to its best advantage if he is fast and if he won't be spread by diffusion. A slowing down of the component v will typically lead to a temporal structure formation (e.g. pulses, running waves), an increased diffusion forming spatial patterns (e.g. periodic Turingstructures, localized filaments). A simultaneous lesion of both conditions facilitates even more complex structures (such as breathing filaments, oscillating areas embedded in an environment of stationary periodical patterns, spatiotemporal chaos). Furthermore exist structure elements containing the properties of well localized particles of welldefined size which interact with each other and also with the boundary. They also can either be destroyed or created. The following image gives examples for some structures of such a twocomponentsystem (binary system). Selforganizing spatial structures as a solution of an activatorinhibitorreactiondiffusionsystem. The numerical an analytic treatment of these activatorinhibitorreactiondiffusionsytsems is done in order to examine the basic mechanisms of natural pattern formation with the aim to be able to predict the principle phenomenons theoretically. Over and above that they are used to interpret experiments done on plasma systems and semiconductors (please also have a look at the following fields of work: "DC Gas Discharge" and "AC Gas Discharge". QuasiParticlesCurrent research deals with the appearance of localized moving structures, socalled quasiparticles, in different gas discharge systems. Examinations have shown, that a binary model as described above, either does not create those structures at all, or only in very special parameter areas. That is why the following threecomponentreactiondiffusionmodel is being examined at the moment. Due to this model it is possible to explain quasiparticlesolutions. The underlying mechanism is also valid for one, two and threedimensional systems. The following images show quasiparticles in two and threedimensional systems. The "applet cellular" (optimized for Netscape Navigator) is the implementation of a cellular automata, which realises the threecomponent system named above, using easy rules. It can also show moving localized resolution.
Quasiparticles in a threecomponentreactiondiffusion system. The direction of motion results by a shift of the component v against the component u. These structures exist on two and three dimensional domains. Scattering QuasiParticlesTo examine the interaction of dissipative quasiparticles, the threecomponentreactiondiffusion system is solved on threedimensional domains and in time. Thatfor we will use a finite difference algorithm which will be calculated by the Cray T3E of the HighPerformance ComputingCentre Stuttgart. In dependency on the system parameters, you can observe scattering, annihilation and generation (see the image on the right) of quasiparticles. Furthermore complex structures can be see that disintegrate on the other hand into quasiparticles due to symmetry breaking. Normally the tails of quasiparticles decay exponentially to the homogeneous background state, but for special parameters some oscillating behaviour is observed which leads to the formation of quasiparticlemolecules. If the amplitudes of these oszillating tails are to huge, the tails of two quasiparticles can superimpose and generate a third particle. The tails of this new particle will superimpose with the ones of his neighbours and further quasiparticles will be generated in a chain reaction like process. Reduced DynamicsTheoretical investigation in the parameter range D_{w}® 0 and q® 0 admit an analytical prediction concerning the transition from stationary to moving structures . This mechanism is based on a slowdown of the inhibitor v. This component does not react fast enough on the shifting of the component u any more, so that the displacement leads to a propagation or to a rotation, if the structure is rotational invariant like quasiparticlemolecules. It is moreover possible to calculate the interaction, namely the impacts between different quasiparticles and to compare them with simulations. Even inhomogeneities can be integrated into the model in order to predict their influence on the direction of the movement and the velocity of the movement. Here the potential annihilation or generation of particles has not been taken into consideration. One gets simple equations of movement, which can be simulated with little numeric effort. The "applet interact" (optimized for Netscape navigator) is based on these equations of movement and admits an interactive examination of the different possibilities ] Literature

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