SEMINARS

Events in January–February 2022

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December 27, 2021 December 28, 2021 December 29, 2021 December 30, 2021 December 31, 2021 January 1, 2022 January 2, 2022
January 3, 2022 January 4, 2022 January 5, 2022 January 6, 2022 January 7, 2022 January 8, 2022 January 9, 2022
January 10, 2022 January 11, 2022 January 12, 2022 January 13, 2022 January 14, 2022 January 15, 2022 January 16, 2022
January 17, 2022 January 18, 2022 January 19, 2022 January 20, 2022 January 21, 2022 January 22, 2022 January 23, 2022
January 24, 2022 January 25, 2022 January 26, 2022 January 27, 2022 January 28, 2022 January 29, 2022 January 30, 2022
January 31, 2022 February 1, 2022 February 2, 2022 February 3, 2022 February 4, 2022 February 5, 2022 February 6, 2022
  • November 25, 2021 @ Bâtiment IMAG (206) -- Seminar "Positive solutions for large random linear systems - application to theoretical ecology" by Jamal Najim
    Large Lotka-Volterra (LV) systems of coupled differential equations is a popular model to describe the dynamics and equilibrium of the abundances of large populations in interaction such as foodwebs for instance. For such large LV systems, calibrating the interaction coefficients between the coupled equations is a highly difficult task that people often circumvent by considering instead random coefficients. 
    In this talk, we will describe feasible equilibria for such systems. By feasible equilibrium, we mean an equilibrium with no vanishing species. The study of such an equilibrium amounts to finding a positive solution to a simple large linear equation involving a large random matrix. We will describe solutions for various models: fully random (i.i.d.), sparse, correlated. 
     
    Key words are: Theoretical ecology, random Matrix Theory, concentration of measure, extreme values. Reference: arXiv:1904.04559
     
    Joint work with I. Akjouj, P. Bizeul, M. Clénet, H. El Ferchichi. 
  • December 2, 2021 @ -- Polaris-tt: Chen Yan
  • December 9, 2021 @ -- Polaris-tt: Till Kletti (Introducing the expohedron for fair and useful rankings)

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