{"id":19339,"date":"2024-03-07T17:56:32","date_gmt":"2024-03-07T08:56:32","guid":{"rendered":"https:\/\/www.waseda.jp\/fsci\/mathphys\/?p=19339"},"modified":"2024-03-11T19:09:00","modified_gmt":"2024-03-11T10:09:00","slug":"stochastic-processes-in-random-media-special-lectures-3-3","status":"publish","type":"post","link":"https:\/\/www.waseda.jp\/fsci\/mathphys\/news-en\/19339","title":{"rendered":"Special Lectures \u201cStochastic Models in Evolution”"},"content":{"rendered":"

The Multiscale Analysis, Modeling and Simulation, Waseda University will hold a special seminar titled “Scaling limits in the stochastic individual based model of adaptive dynamics: From the law of large numbers to metastability” by Prof. Dr. Anton Bovier on April 22, 2024, and April 24, 2024. We would like to introduce this opportunity and look forward to your participation.<\/p>\n

Title<\/h4>\n

Scaling limits in the stochastic individual based model of adaptive dynamics: From the law of large numbers to metastability<\/p>\n

Abstract<\/h4>\n

The so-called stochastic individual based model of adaptive dynamics describes the time evolution of heterogeneous populations that evolve under the key evolutionary mechanisms: birth, death, competition, heredity and mutation. There are three key scaling parameters in this model: population size K, mutation rate \u03bc, and mutation step size \u03b4. In these lectures I will explain how by different choices of taking limits in these parameters, an amazing variety of asymptotic processes arise on different time scales. These capture on the qualitative scale several key features of biological evolution taking place on a hierarchy of time scales.<\/p>\n

Dates (Japan Time)<\/h4>\n

April 22(Monday)\u300016:00-18:00<\/p>\n

April 24(Wednesday)\u300016:00-18:00<\/p>\n

Lecturer<\/h4>\n

Prof. Dr. Anton Bovier<\/a>\u3000\u00a0(Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn)<\/p>\n

\"\"<\/a>

Prof. Dr. Anton Bovier<\/p><\/div>\n

Venue<\/h4>\n

Conference room 1, 1st Floor, 55N Bldg, Waseda University, Nishi-Waseda Campus (Access<\/a>)\/ Online via Zoom<\/p>\n

Language<\/h4>\n

English<\/p>\n

Audience<\/h4>\n

Researchers, Students
\nOpen to the public through Zoom<\/p>\n

Registration<\/h4>\n

Registration is required.
\nPlease register here <\/a><\/strong><\/p>\n

Inquiries about lecture content<\/h5>\n

Takashi KUMAGAI\u00a0 (Professor, Faculty of Science and Engineering, Waseda University)
\nt-kumagai [at] waseda.jp<\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

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