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Inhaltsverzeichnis - Mathematisches Institut der Universität zu Köln

Inhaltsverzeichnis - Mathematisches Institut der Universität zu Köln

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DMV Tagung 2011 - <strong>Köln</strong>, 19. - 22. September<br />

Oleksandr Kutovyi<br />

Bielefeld <strong>Universität</strong><br />

Markov Jump Dynamics in Continuum: State Evolution and Vlasov Scaling<br />

We investigate a stochastic (conservative) jump dynamics of interacting particles in continuum. We<br />

consi<strong>der</strong> objects dual to correlation functions (respectively correlation measures), which are called quasiobservables.<br />

By solving the evolution equation for quasi-observables, we obtain the non-equilibrium<br />

evolution of these objects. The corresponding dual equation describes the time evolution of correlation<br />

functions and generalizes the BBGKY-hierarchy from Hamiltonian to jump dynamics. By means of the<br />

duality between quasi-observables and correlation functions we can transfer the evolution of quasiobservables<br />

to correlation functions. Afterwards we perform a Vlasov-type scaling of the dynamics, which<br />

leads to a rescaled and limiting evolution of correlation functions. We show convergence of the solution of<br />

the rescaled hierarchy to the solution of the limiting one. The chaos preservation property of the limiting<br />

hierarchy leads to the <strong>der</strong>ivation of a kinetic equation for the particle density which is a Vlasov-type<br />

equation for the consi<strong>der</strong>ed model.<br />

Eugene Lytvynov<br />

Swansea University<br />

Determinantal point processes with J-Hermitian correlation kernels<br />

Let X be a locally compact Polish space. The configuration space over X, denoted by Γ, is defined as the<br />

set of all locally finite subsets of X. A probability measure on Γ is called a point process. A point process<br />

µ can be described with the help of correlation functions: the n-th correlation function is a non-negative<br />

symmetric function k (n) (x1,...,xn) on X n which may be heuristically interpreted as the µ-probability to<br />

find points x1,...,xn in a configuration. A point process is called determinantal if there exists a function<br />

K(x,y) on X 2 , called the correlation kernel, such that the n-th correlation function of this point process<br />

is given by det[K(xi,xj)] n i, j=1 . If the correlation kernel is Hermitian, the Macchi–Soshnikov theorem gives<br />

a necessary and sufficient condition for the existence of a determinantal point process with correlation<br />

kernel K(x,y). We will <strong>der</strong>ive a counterpart of this theorem in the case where the correlation kernel is<br />

J-Hermitian, i.e., Hermitian in an indefinite scalar product. Such point processes occurred in Borodin and<br />

Olshanski’s studies on harmonic analysis of the infinite symmetric group.<br />

Maria João Oliveira<br />

Universidade Aberta/CMAF<br />

Glauber dynamics in the continuum via generating functionals evolution<br />

We construct the time evolution of Glauber dynamics for a continuous infinite particle system in terms of<br />

generating functionals. This is carried out by Peano-type approximations in a scale of Banach spaces,<br />

leading to a local (in time) solution which may be extended to a global one. An application of this approach<br />

to Vlasov-type scaling in generating functionals is consi<strong>der</strong>ed as well.<br />

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