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Probabilistic derivation of the linear Boltzmann equation

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If you have a question about this talk, please contact Damon Civin.

This seminar is about how to interpret and derive the linear Boltzmann equation from probabilistic tools, starting from the study of a particle that undergoes a Markov process. In the second part, we try to give a flavour of how to apply probabilistic tools to study the evolution of the position of that particle after rescaling space and time, obtaining a stable Levy process after a limiting process.

This talk is part of the Cambridge Analysts' Knowledge Exchange series.

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