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DTSTART:19961027T030000
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UID:news1720@dmi.unibas.ch
DTSTAMP;TZID=Europe/Zurich:20241213T192501
DTSTART;TZID=Europe/Zurich:20241220T110000
SUMMARY:Seminar in Numerical Analysis: Ana Djurdjevac (FU Berlin) 
DESCRIPTION:Interacting particle systems provide flexible and powerful mode
 ls that are useful in many application areas such as sociology (agents)\, 
 molecular dynamics (proteins) etc. However\, particle systems with large n
 umbers of particles are very complex and diﬃcult to handle\, both analyt
 ically and computationally. Therefore\, a common strategy is to derive e
 ﬀective equations that describe the time evolution of the empirical part
 icle density. A prototypical example that we will consider is the formal i
 dentification of a finite system of particles with the singular Dean-Kawas
 aki equation. We will give a short introduction about the Dean-Kawasaki eq
 uation and its applications. Our aim is to introduce a well-behaved nonlin
 ear SPDE that approximates the Dean-Kawasaki equation for a particle syste
 m with mean-field interaction both in the drift and the noise term. We wan
 t to study the well-posedness of these nonlinear SPDE models and to contro
 l the weak error of the SPDE approximation with respect to the particle sy
 stem using the technique of transport equations on the space of probabilit
 y measures. This is the joint work with H. Kremp\, N. Perkowski and J. Xia
 ohao. Furthermore\, we will discuss possible numerical methods for these p
 roblems. In particular\, we will focus on hybrid methods. This is a joint 
 work with A. Almgren and J. Bell.\\r\\n\\r\\nFor further information about
  the seminar\, please visit this webpage [t3://page?uid=1115].
X-ALT-DESC:<p>Interacting particle systems provide flexible and powerful mo
 dels that are useful in many application areas such as sociology (agents)\
 , molecular dynamics (proteins) etc. However\, particle systems with large
  numbers of particles are very complex and diﬃcult to handle\, both anal
 ytically and computationally. Therefore\, a common strategy is to derive e
 ﬀective equations that describe the time evolution of the empirical part
 icle density. A prototypical example that we will consider is the formal i
 dentification of a finite system of particles with the singular Dean-Kawas
 aki equation. We will give a short introduction about the Dean-Kawasaki eq
 uation and its applications. Our aim is to introduce a well-behaved nonlin
 ear SPDE that approximates the Dean-Kawasaki equation for a particle syste
 m with mean-field interaction both in the drift and the noise term. We wan
 t to study the well-posedness of these nonlinear SPDE models and to contro
 l the weak error of the SPDE approximation with respect to the particle sy
 stem using the technique of transport equations on the space of probabilit
 y measures. This is the joint work with H. Kremp\, N. Perkowski and J. Xia
 ohao. Furthermore\, we will discuss possible numerical methods for these p
 roblems. In particular\, we will focus on hybrid methods. This is a joint 
 work with A. Almgren and J. Bell.</p>\n\n<p>For further information about 
 the seminar\, please visit this <a href="t3://page?uid=1115" title="Opens 
 internal link in current window">webpage</a>.</p>
DTEND;TZID=Europe/Zurich:20241220T120000
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